SELECTED PUBLICATIONS

Selected works only; this page may not be up to date; please refer to my Google Scholar page for the full and latest information.

Books

Data clustering

Hui Xiong, Zhongmou Li, Charu C. Aggarwal, Chandan K. Reddy
United States: Chapman and Hall/CRC, 2018


Big data in complex and social networks

My T. Thai, Weili Wu, Hui Xiong
CRC Press, 2016


Database Systems for Advanced Applications

Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiong
Springer, 2016


Web-Age Information Management: 14th International Conference, WAIM 2013, Beidaihe, China, June 14-16, 2013. Proceedings

Jianyong Wang, Hui Xiong, Yoshiharu Ishikawa, Jianliang Xu, Junfeng Zhou
Springer, 2013


Knowledge Science, Engineering and Management: 5th International Conference, KSEM 2011, Irvine, CA, USA, December 12-14, 2011. Proceedings

Hui Xiong, Wing Bun Lee
Springer, 2012


Proceedings of the 5th international conference on Knowledge Science, Engineering and Management

Hui Xiong, Wing Bun Lee
Springer-Verlag, 2011


Nature Highlights

STP: single-cell partition for subcellular spatially-resolved transcriptomics

Haoyang Li, Qinan Hu, Zhaowen Qiu, Hui Xiong, Yuhui Hu, Xin Gao
Nature Communications 16 (1), 4665, 2025


Large-scale online job search behaviors reveal labor market shifts amid COVID-19

Ying Sun, Hengshu Zhu, Lu Wang, Le Zhang, Hui Xiong
Nature Cities 1 (2), 150-163, 2024


Market-oriented job skill valuation with cooperative composition neural network

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qi Zhang, Qing He, Hui Xiong
Nature communications 12 (1), 1992, 2021


Journal Papers

Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media

Yijie Xu, Chao Wang, Hui Xiong
ACM Transactions on Intelligent Systems and Technology, 2026 (ACM TIST)


Interventional Imbalanced Multi-Modal Representation Learning via β-Generalization Front-Door Criterion

Yi Li, Fei Song, Changwen Zheng, Jiangmeng Li, Fuchun Sun, Hui Xiong
IEEE Transactions on Multimedia, 2026 (IEEE TMM)


Large models for time series and spatio-temporal data: A survey and outlook

Ming Jin, Yaxuan Kong, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiao-Li Li, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong, Shirui Pan, Qingsong Wen
ACM Computing Surveys 58 (14), 1-38, 2026 (ACM CSUR)


Meta-Transfer Learning Powered Temporal Graph Networks for Cross-City Real Estate Appraisal

Weijia Zhang, Jindong Han, Hao Liu, Wei Fan, Hao Wang, Hui Xiong
ACM Transactions on Intelligent Systems and Technology 17 (5), 1-22, 2026 (ACM TIST)


Enhance 3D Visual Grounding through LiDAR and Radar Point Clouds Fusion for Autonomous Driving

Runwei Guan, Jianan Liu, Ningwei Ouyang, Shaofeng Liang, Daizong Liu, Xiaolou Sun, Lianqing Zheng, Ming Xu, Tao Huang, Yutao Yue, Guoqiang Mao, Hui Xiong
IEEE Transactions on Intelligent Transportation Systems, 2026 (IEEE TITS)


Toward Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation

Dongjie Wang, Yanyong Huang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Tao Zhe, Kunpeng Liu, Meng Xiao, Pengfei Wang, Pengyang Wang, Hui Xiong, Yanjie Fu
ACM Transactions on Knowledge Discovery from Data 20 (5), 1-40, 2026 (TKDD)


Simulating the Real World: A Unified Survey of Multimodal Generative Models

Yuqi Hu, Longguang Wang, Xian Liu, Ling-Hao Chen, Yuwei Guo, Yukai Shi, Ce Liu, Anyi Rao, Zeyu Wang, Hui Xiong
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026 (IEEE TPAMI)


Continual Test-Time Training on Graphs via Adaptive Prompts Integration

Qianyi Cai, Ziyue Qiao, Rui Cai, Huijie Liu, Junyi Li, Xiao Luo, Hui Xiong
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026 (IEEE TPAMI)


Enhancing Multilingual Capabilities of Large Language Models with Bidirectional Cross-lingual Consistency Regularization

Junpeng Liu, Jiuyi Li, Bo Jin, Degen Huang, Hui Xiong
IEEE Transactions on Audio, Speech and Language Processing, 2026 (IEEE TASLP)


All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt Network

Bingnan Wang, Bin Qin, Jiangmeng Li, Fanjiang Xu, Fuchun Sun, Hui Xiong
IEEE Transactions on Image Processing 35, 3421-3436, 2026 (IEEE TIP)


How Business Agglomeration Affects Individual Points-of-Interest: A Causal Effect Estimation Perspective

Haoran Xin, Xinjiang Lu, Ying Sun, Nengjun Zhu, Tong Xu, Jingbo Zhou, Hui Xiong
ACM Transactions on Knowledge Discovery from Data 20 (3), 1-28, 2026 (TKDD)


Bridging the Subpopulation Gap: A New Paradigm for Robust Fault Diagnosis in Rotating Machinery

Jiawei Gu, Xiangxiang Yuan, Xinming Li, Yanxue Wang, Ziyue Qiao, Hui Xiong
IEEE Transactions on Industrial Informatics, 2026


Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective

Zeen Song, Wenwen Qiang, Changwen Zheng, Hui Xiong, Gang Hua
International Journal of Computer Vision 134 (3), 139, 2026 (IJCV)


AmPLe: Supporting Vision-Language Models via Adaptive-Debiased Ensemble Multi-Prompt Learning

Fei Song, Yi Li, Jiangmeng Li, Rui Wang, Changwen Zheng, Fanjiang Xu, Hui Xiong
International Journal of Computer Vision 134 (2), 67, 2026 (IJCV)


Prescription generation via multi-source context-aware hierarchical transformer

Hui Xiong, Zhi Zheng, Zhaopeng Qiu, Xian Wu, Tong Xu, Enhong Chen
Science China Information Sciences 69 (2), 122109, 2026 (SCIS)


Da Yu: Towards USV-Based Image Captioning for Waterway Surveillance and Scene Understanding

Runwei Guan, Ningwei Ouyang, Tianhao Xu, Shaofeng Liang, Wei Dai, Yafeng Sun, Shang Gao, Songning Lai, Shanliang Yao, Xuming Hu, Ryan Wen Liu, Yutao Yue, Hui Xiong
IEEE Transactions on Circuits and Systems for Video Technology, 2026 (IEEE TCSVT)


Graph-based Prompt Learning with Mixture of Experts for Multi-task Corporate Profiling

Yunchu Bai, Chao Wang, Ying Sun, Chuan Qin, Wei Wu, Hui Xiong
ACM Transactions on Knowledge Discovery from Data, 2026 (TKDD)


A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook

Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
ACM Computing Surveys 57 (11), 1-43, 2025 (ACM CSUR)


Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models

Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Tengfei Lyu, Hao Liu, Hui Xiong
ACM Transactions on Intelligent Systems and Technology, 2025 (ACM TIST)


Cognitive disentanglement for referring multi-object tracking

Shaofeng Liang, Runwei Guan, Wangwang Lian, Daizong Liu, Xiaolou Sun, Dongming Wu, Yutao Yue, Weiping Ding, Hui Xiong
Information Fusion 124, 103349, 2025


Which to trust: Extracting collective wisdom based on opinion quality rank learning

Shuai Jiang, Yanhong Guo, Chuanren Liu, Hui Xiong
INFORMS Journal on Computing, 2025 (INFORMS JOC)


A survey of text watermarking in the era of large language models

Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu
ACM Computing Surveys 57 (2), 1-36, 2025 (ACM CSUR)


On the Transferability and Discriminability of Representation Learning in Unsupervised Domain Adaptation

Wenwen Qiang, Ziyin Gu, Lingyu Si, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025


Exploring the vulnerabilities of federated learning: A deep dive into gradient inversion attacks

Pengxin Guo, Runxi Wang, Shuang Zeng, Jinjing Zhu, Haoning Jiang, Yanran Wang, Yuyin Zhou, Feifei Wang, Hui Xiong, Liangqiong Qu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025


A comprehensive survey on self-interpretable neural networks

Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong
Proceedings of the IEEE, 2025 (Proc. IEEE)


Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis

Ziyue Qiao, Xiaomin Yu, Weiyu Guo, Xiao Luo, Meng Xiao, Hui Xiong
IEEE Transactions on Neural Networks and Learning Systems, 2025 (TNNLS)


Llmcdsr: Enhancing cross-domain sequential recommendation with large language models

Haoran Xin, Ying Sun, Chao Wang, Hui Xiong
ACM Transactions on Information Systems 43 (5), 1-33, 2025 (ACM TOIS)


Continual test-time adaptation for single image defocus deblurring via causal Siamese networks

Shuang Cui, Yi Li, Jiangmeng Li, Xiongxin Tang, Bing Su, Fanjiang Xu, Hui Xiong
International Journal of Computer Vision 133 (7), 4134-4157, 2025 (IJCV)


A comprehensive survey of artificial intelligence techniques for talent analytics

Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
Proceedings of the IEEE, 2025 (Proc. IEEE)


Rethinking generalizability and discriminability of self-supervised learning from evolutionary game theory perspective

Jiangmeng Li, Zehua Zang, Qirui Ji, Chuxiong Sun, Wenwen Qiang, Junge Zhang, Changwen Zheng, Fuchun Sun, Hui Xiong
International Journal of Computer Vision 133 (6), 3542-3567, 2025 (IJCV)


Toward Faithful Neural Network Intrinsic Interpretation With Shapley Additive Self-Attribution

Ying Sun, Hengshu Zhu, Hui Xiong
IEEE Transactions on Neural Networks and Learning Systems, 2025 (TNNLS)


Examination process modeling for intelligent patent management: a multi-aspect neural sequential approach

Han Wu, Le Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
ACM Transactions on Management Information Systems 16 (3), 1-23, 2025 (ACM TMIS)


On the Generalization and Causal Explanation in Self-Supervised Learning

Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong
International Journal of Computer Vision 133 (4), 1727-1754, 2025 (IJCV)


Joint ability assessment for talent recruitment: a neural cognitive diagnosis approach

Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong
ACM Transactions on Management Information Systems 16 (2), 1-25, 2025 (ACM TMIS)


Market-aware long-term job skill recommendation with explainable deep reinforcement learning

Ying Sun, Yang Ji, Hengshu Zhu, Fuzhen Zhuang, Qing He, Hui Xiong
ACM Transactions on Information Systems 43 (2), 1-35, 2025 (ACM TOIS)


GPS: Graph contrastive learning via multi-scale augmented views from adversarial pooling

Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
Science China Information Sciences 68 (1), 112101, 2025 (SCIS)


JobFormer: skill-aware job recommendation with semantic-enhanced transformer

Zhihao Guan, Jia-Qi Yang, Yang Yang, Hengshu Zhu, Wenjie Li, Hui Xiong
ACM Transactions on Knowledge Discovery from Data 19 (1), 1-20, 2024 (TKDD)


Towards task sampler learning for meta-learning

Jingyao Wang, Wenwen Qiang, Xingzhe Su, Changwen Zheng, Fuchun Sun, Hui Xiong
International Journal of Computer Vision 132 (12), 5534-5564, 2024 (IJCV)


Multi-dimensional ability diagnosis for machine learning algorithms

Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong
Science China Information Sciences 67 (12), 229101, 2024 (SCIS)


TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation

Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li, Fuzhen Zhuang, Hui Xiong
ACM Transactions on Information Systems 42 (6), 1-34, 2024 (ACM TOIS)


Rethinking robust multivariate time series anomaly detection: A hierarchical spatio-temporal variational perspective

Xiao Zhang, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
IEEE Transactions on Knowledge and Data Engineering 36 (12), 9136-9149, 2024 (TKDE)


Handling over-smoothing and over-squashing in graph convolution with maximization operation

Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong
IEEE Transactions on Neural Networks and Learning Systems 36 (5), 8743-8756, 2024 (TNNLS)


Manifold constraint regularization for remote sensing image generation

Xingzhe Su, Changwen Zheng, Wenwen Qiang, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong
IEEE Transactions on Geoscience and Remote Sensing 62, 1-20, 2024 (IEEE TGARS)


Public Bike Scheduling Strategy Based on Demand Prediction for Unbalanced Life-Value Distribution

Heli Sun, Zunye Tang, Mengting Cao, Yu Wang, Zhou Yang, Haokun Xue, Ruirui Xue, Liang He, Hui Xiong
IEEE Transactions on Intelligent Transportation Systems 25 (10), 13546-13559, 2024 (IEEE TITS)


Bi-discriminator domain adversarial neural networks with class-level gradient alignment

Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong
IEEE Transactions on Systems, Man, and Cybernetics: Systems 54 (9), 5283-5295, 2024


University evaluation through graduate employment prediction: An influence based graph autoencoder approach

Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (11), 7255-7267, 2024 (TKDE)


Bilateral multi-behavior modeling for reciprocal recommendation in online recruitment

Zhi Zheng, Xiao Hu, Zhaopeng Qiu, Yuan Cheng, Shanshan Gao, Yang Song, Hengshu Zhu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (11), 5681-5694, 2024 (TKDE)


Beyond relevance: Factor-level causal explanation for user travel decisions with counterfactual data augmentation

Hanzhe Li, Jingjing Gu, Xinjiang Lu, Dazhong Shen, Yuting Liu, YaNan Deng, Guoliang Shi, Hui Xiong
ACM Transactions on Information Systems 42 (5), 1-31, 2024 (ACM TOIS)


Bootstrapping on continuous-time dynamic graphs for crowd flow modeling

Yi Xu, Liangzhe Han, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (10), 5039-5052, 2024 (TKDE)


Token-event-role structure-based multi-channel document-level event extraction

Qizhi Wan, Changxuan Wan, Keli Xiao, Hui Xiong, Dexi Liu, Xiping Liu, Rong Hu
ACM Transactions on Information Systems 42 (4), 1-27, 2024 (ACM TOIS)


Traceable group-wise self-optimizing feature transformation learning: A dual optimization perspective

Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu
ACM Transactions on Knowledge Discovery from Data 18 (4), 1-22, 2024 (TKDD)


Diffcharge: Generating ev charging scenarios via a denoising diffusion model

Siyang Li, Hui Xiong, Yize Chen
IEEE Transactions on Smart Grid 15 (4), 3936-3949, 2024


Dewp: Deep expansion learning for wind power forecasting

Wei Fan, Yanjie Fu, Shun Zheng, Jiang Bian, Yuanchun Zhou, Hui Xiong
ACM Transactions on Knowledge Discovery from Data 18 (3), 1-21, 2024 (TKDD)


Rdgt: enhancing group cognitive diagnosis with relation-guided dual-side graph transformer

Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (7), 3429-3442, 2024 (TKDE)


A dual-channel semi-supervised learning framework on graphs via knowledge transfer and meta-learning

Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong
ACM Transactions on the Web 18 (2), 1-26, 2024


Lever: Online adaptive sequence learning framework for high-frequency trading

Zixuan Yuan, Junming Liu, Haoyi Zhou, Denghui Zhang, Hao Liu, Nengjun Zhu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (11), 6547-6559, 2023 (TKDE)


What your next check-in might look like: Next check-in behavior prediction

Heli Sun, Chen Cao, Xuguang Chu, Tingting Hu, Junzhi Lu, Liang He, Zhi Wang, Hui He, Hui Xiong
ACM transactions on intelligent systems and technology 14 (6), 1-21, 2023 (ACM TIST)


HyObscure: Hybrid obscuring for privacy-preserving data publishing

Xiao Han, Yuncong Yang, Junjie Wu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (8), 3893-3905, 2023 (TKDE)


Setrank: A setwise bayesian approach for collaborative ranking in recommender system

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong
ACM Transactions on Information Systems 42 (2), 1-32, 2023 (ACM TOIS)


Joint admission control and resource allocation of virtual network embedding via hierarchical deep reinforcement learning

Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong
IEEE Transactions on Services Computing 17 (3), 1001-1015, 2023 (IEEE TSC)


A multi-aspect neural tensor factorization framework for patent litigation prediction

Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong
IEEE Transactions on Big Data 10 (1), 35-54, 2023 (IEEE TBD)


Giant: Protein-ligand binding affinity prediction via geometry-aware interactive graph neural network

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (5), 1991-2008, 2023 (TKDE)


Exploiting connections among personality, job position, and work behavior: Evidence from joint Bayesian learning

Dazhong Shen, Hengshu Zhu, Keli Xiao, Xi Zhang, Hui Xiong
ACM transactions on management information systems 14 (3), 1-20, 2023 (ACM TMIS)


Adaptive clustering based personalized federated learning framework for next poi recommendation with location noise

Ziming Ye, Xiao Zhang, Xu Chen, Hui Xiong, Dongxiao Yu
IEEE Transactions on Knowledge and Data Engineering 36 (5), 1843-1856, 2023 (TKDE)


Automatic skill-oriented question generation and recommendation for intelligent job interviews

Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong
ACM Transactions on Information Systems 42 (1), 1-32, 2023 (ACM TOIS)


GS-RS: A generative approach for alleviating cold start and filter bubbles in recommender systems

Yuanbo Xu, En Wang, Yongjian Yang, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (2), 668-681, 2023 (TKDE)


Meta attention-generation network for cross-granularity few-shot learning

Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen
International Journal of Computer Vision 131 (5), 1211-1233, 2023 (IJCV)


Reinforced imitative graph learning for mobile user profiling

Dongjie Wang, Pengyang Wang, Yanjie Fu, Kunpeng Liu, Hui Xiong, Charles E. Hughes
IEEE Transactions on Knowledge and Data Engineering 35 (12), 12944-12957, 2023 (TKDE)


Multi-attention feature fusion network for accurate estimation of finger kinematics from surface electromyographic signals

Weiyu Guo, Ning Jiang, Dario Farina, Jingyong Su, Zheng Wang, Chuang Lin, Hui Xiong
IEEE Transactions on Human-Machine Systems 53 (3), 512-519, 2023


Characterizing and forecasting urban vibrancy evolution: A multi-view graph mining perspective

Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong
ACM Transactions on Knowledge Discovery from Data 17 (5), 1-24, 2023 (TKDD)


Hierarchical interdisciplinary topic detection model for research proposal classification

Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
IEEE Transactions on Knowledge and Data Engineering 35 (9), 9685-9699, 2023 (TKDE)


Kill two birds with one stone: A multi-view multi-adversarial learning approach for joint air quality and weather prediction

Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11515-11528, 2023 (TKDE)


Hyperbolic temporal network embedding

Menglin Yang, Min Zhou, Hui Xiong, Irwin King
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11489-11502, 2022 (TKDE)


Semantic and structural view fusion modeling for social recommendation

Kun Yuan, Guannan Liu, Junjie Wu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11872-11884, 2022 (TKDE)


Online POI recommendation: Learning dynamic geo-human interactions in streams

Dongjie Wang, Kunpeng Liu, Hui Xiong, Yanjie Fu
IEEE Transactions on Big Data 9 (3), 832-844, 2022 (IEEE TBD)


HmcNet: A general approach for hierarchical multi-label classification

Wei Huang, Enhong Chen, Qi Liu, Hui Xiong, Zhenya Huang, Shiwei Tong, Dan Zhang
IEEE Transactions on Knowledge and Data Engineering 35 (9), 8713-8728, 2022 (TKDE)


Multi-faceted knowledge-driven pre-training for product representation learning

Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (7), 7239-7250, 2022 (TKDE)


Modeling multiple views via implicitly preserving global consistency and local complementarity

Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (7), 7220-7238, 2022 (TKDE)


Predicting a person’s next activity region with a dynamic region-relation-aware graph neural network

Nengjun Zhu, Jian Cao, Xinjiang Lu, Chuanren Liu, Hao Liu, Yanyan Li, Xiangfeng Luo, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-23, 2022


Exploiting cross-modal prediction and relation consistency for semisupervised image captioning

Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang
IEEE Transactions on Cybernetics 54 (2), 890-902, 2022


Time-aware context-gated graph attention network for clinical risk prediction

Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (7), 7557-7568, 2022 (TKDE)


RLCharge: Imitative multi-agent spatiotemporal reinforcement learning for electric vehicle charging station recommendation

Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu
IEEE Transactions on Knowledge and Data Engineering 35 (6), 6290-6304, 2022 (TKDE)


What is market talking about? Market-oriented prospect analysis for entrepreneur fundraising

Hongke Zhao, Yihang Cheng, Xi Zhang, Hengshu Zhu, Qi Liu, Hui Xiong, Wei Zhang
IEEE Transactions on Knowledge and Data Engineering 35 (6), 6489-6503, 2022 (TKDE)


Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond

Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (5), 1-24, 2022


Multi-view multi-task campaign embedding for cold-start conversion rate forecasting

Zijun Yao, Deguang Kong, Miao Lu, Xiao Bai, Jian Yang, Hui Xiong
IEEE Transactions on Big Data 9 (1), 280-293, 2022 (IEEE TBD)


Heterogeneous graph representation learning with relation awareness

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (6), 5935-5947, 2022 (TKDE)


Polestar++: An intelligent routing engine for national-wide public transportation

Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (6), 6194-6208, 2022 (TKDE)


Real-time monocular joint perception network for autonomous driving

Keqiang Li, Hui Xiong, Jinxin Liu, Qing Xu, Jianqiang Wang
IEEE Transactions on Intelligent Transportation Systems 23 (9), 15864-15877, 2022 (IEEE TITS)


Graph-grounded goal planning for conversational recommendation

Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4923-4939, 2022 (TKDE)


Towards automatic job description generation with capability-aware neural networks

Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (5), 5341-5355, 2022 (TKDE)


Adaptive model scheduling for resource-efficient data labeling

Mu Yuan, Lan Zhang, Xiang-Yang Li, Lin-Zhuo Yang, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-22, 2022


MANE: Organizational network embedding with multiplex attentive neural networks

Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (4), 4047-4061, 2022 (TKDE)


Exploring the risky travel area and behavior of car-hailing service

Hongting Niu, Hengshu Zhu, Ying Sun, Xinjiang Lu, Jing Sun, Zhiyuan Zhao, Hui Xiong, Bo Lang
ACM Transactions on Intelligent Systems and Technology (TIST) 13 (1), 1-22, 2021 (ACM TIST)


FedHAR: Semi-supervised online learning for personalized federated human activity recognition

Hongzheng Yu, Zekai Chen, Xiao Zhang, Xu Chen, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng
IEEE transactions on mobile computing 22 (6), 3318-3332, 2021 (TMC)


Personalized and explainable employee training course recommendations: A bayesian variational approach

Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
ACM Transactions on Information Systems (TOIS) 40 (4), 1-32, 2021 (ACM TOIS)


Cost-effective incremental deep model: Matching model capacity with the least sampling

Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang
IEEE Transactions on Knowledge and Data Engineering 35 (4), 3575-3588, 2021 (TKDE)


Towards robust knowledge graph embedding via multi-task reinforcement learning

Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
IEEE Transactions on Knowledge and Data Engineering 35 (4), 4321-4334, 2021 (TKDE)


A comprehensive survey on graph anomaly detection with deep learning

Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu
IEEE transactions on knowledge and data engineering 35 (12), 12012-12038, 2021 (TKDE)


Automatic treatment regimen design

Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie
IEEE Transactions on Knowledge and Data Engineering 33 (11), 3494-3506, 2021 (TKDE)


Modeling the impact of person-organization fit on talent management with structure-aware attentive neural networks

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
IEEE transactions on knowledge and data engineering 35 (3), 2809-2822, 2021 (TKDE)


Learning a hierarchical intent model for next-item recommendation

Nengjun Zhu, Jian Cao, Xinjiang Lu, Hui Xiong
ACM Transactions on Information Systems (TOIS) 40 (2), 1-28, 2021 (ACM TOIS)


Automated feature selection: A reinforcement learning perspective

Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (3), 2272-2284, 2021 (TKDE)


Robust local preserving and global aligning network for adversarial domain adaptation

Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (3), 3014-3029, 2021 (TKDE)


Joint representation learning with relation-enhanced topic models for intelligent job interview assessment

Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong
ACM Transactions on Information Systems (TOIS) 40 (1), 1-36, 2021 (ACM TOIS)


S2OSC: A holistic semi-supervised approach for open set classification

Yang Yang, Hongchen Wei, Zhen-Qiang Sun, Guangyu Li, Yuanchun Zhou, Hui Xiong, Jian Yang
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (2), 1-27, 2021


Platform-oriented event time allocation

Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao
IEEE Transactions on Knowledge and Data Engineering 35 (3), 2930-2942, 2021 (TKDE)


Learning adaptive embedding considering incremental class

Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang
IEEE Transactions on Knowledge and Data Engineering 35 (3), 2736-2749, 2021 (TKDE)


Interactive reinforcement learning for feature selection with decision tree in the loop

Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu
IEEE Transactions on Knowledge and Data Engineering 35 (2), 1624-1636, 2021 (TKDE)


An end-to-end multi-task learning model for drivable road detection via edge refinement and geometric deformation

Keqiang Li, Hui Xiong, Dameng Yu, Jinxin Liu, Yu'ang Guo, Jianqiang Wang
IEEE Transactions on Intelligent Transportation Systems 23 (7), 8641-8651, 2021 (IEEE TITS)


Exploiting real-time search engine queries for earthquake detection: A summary of results

Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
ACM Transactions on Information Systems (TOIS) 39 (3), 1-32, 2021 (ACM TOIS)


Exploiting network fusion for organizational turnover prediction

Mingfei Teng, Hengshu Zhu, Chuanren Liu, Hui Xiong
ACM Transactions on Management Information Systems (TMIS) 12 (2), 1-18, 2021 (ACM TMIS)


Corporate relative valuation using heterogeneous multi-modal graph neural network

Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiaoru Gao, Hui Xiong, Jian Yang
IEEE Transactions on Knowledge and Data Engineering 35 (1), 211-224, 2021 (TKDE)


Diagnostic sparse connectivity networks with regularization template

Yue Qu, Chuanren Liu, Kai Zhang, Keli Xiao, Bo Jin, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (1), 307-320, 2021 (TKDE)


Competitive relationship prediction for points of interest: A neural graphlet based approach

Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (12), 5681-5692, 2021 (TKDE)


Anti-Interpolation: An Attack Facilitator Hiding Adversaries Into Images

Jinyin Chen, Hui Xiong, Haibin Zheng, Zhaoyan Ming, Yi Liu
IEEE Transactions on Circuits and Systems II: Express Briefs 68 (7), 2670-2674, 2021


Smoothing adversarial training for GNN

Jinyin Chen, Xiang Lin, Hui Xiong, Yangyang Wu, Haibin Zheng, Qi Xuan
IEEE Transactions on Computational Social Systems 8 (3), 618-629, 2020


Detect professional malicious user with metric learning in recommender systems

Yuanbo Xu, Yongjian Yang, En Wang, Fuzhen Zhuang, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (9), 4133-4146, 2020 (TKDE)


Attribute graph neural networks for strict cold start recommendation

Tieyun Qian, Yile Liang, Qing Li, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (8), 3597-3610, 2020 (TKDE)


Semi-supervised city-wide parking availability prediction via hierarchical recurrent graph neural network

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (8), 3984-3996, 2020 (TKDE)


STMARL: A spatio-temporal multi-agent reinforcement learning approach for cooperative traffic light control

Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong
IEEE Transactions on Mobile Computing 21 (6), 2228-2242, 2020 (TMC)


A survey on knowledge graph-based recommender systems

Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
IEEE Transactions on Knowledge and Data Engineering 34 (8), 3549-3568, 2020 (TKDE)


Exploiting user preference and mobile peer influence for human mobility annotation

Renjun Hu, Yanchi Liu, Yanyan Li, Jingbo Zhou, Shuai Ma, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (6), 1-18, 2020


Introduction to the Special Issue on the Best Papers from KDD 2018

Hui Xiong, Chih-Jen Lin
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-2, 2020


A comprehensive survey on transfer learning

Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
Proceedings of the IEEE 109 (1), 43-76, 2020 (Proc. IEEE)


Dancing with Trump in the stock market: A deep information echoing model

Kun Yuan, Guannan Liu, Junjie Wu, Hui Xiong
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (5), 1-22, 2020 (ACM TIST)


NCF: A Neural Context Fusion Approach to Raw Mobility Annotation

Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, Hui Xiong
IEEE Transactions on Mobile Computing 21 (1), 226-238, 2020 (TMC)


Neural serendipity recommendation: Exploring the balance between accuracy and novelty with sparse explicit feedback

Yuanbo Xu, Yongjian Yang, En Wang, Jiayu Han, Fuzhen Zhuang, Zhiwen Yu, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-25, 2020


Enhancing employer brand evaluation with collaborative topic regression models

Hao Lin, Hengshu Zhu, Junjie Wu, Yuan Zuo, Chen Zhu, Hui Xiong
ACM Transactions on Information Systems (TOIS) 38 (4), 1-33, 2020 (ACM TOIS)


Deep subdomain adaptation network for image classification

Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
IEEE transactions on neural networks and learning systems 32 (4), 1713-1722, 2020 (TNNLS)


Exploiting interpretable patterns for flow prediction in dockless bike sharing systems

Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (2), 640-652, 2020 (TKDE)


Incorporating multi-source urban data for personalized and context-aware multi-modal transportation recommendation

Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (2), 723-735, 2020 (TKDE)


An enhanced neural network approach to person-job fit in talent recruitment

Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong
ACM Transactions on Information Systems (TOIS) 38 (2), 1-33, 2020 (ACM TOIS)


Inferring lifetime status of point-of-interest: A multitask multiclass approach

Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (1), 1-27, 2020


Product quantized collaborative filtering

Defu Lian, Xing Xie, Enhong Chen, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 33 (9), 3284-3296, 2020 (TKDE)


DGEPN-GCEN2V: A new framework for mining GGI and its application in biomarker detection

Jinyin Chen, Haibin Zheng, Hui Xiong, Yangyang Wu, Xiang Lin, Shiyan Ying, Qi Xuan
Science China. Information Sciences 62 (9), 199104, 2019 (SCIS)


Semi-supervised multi-modal clustering and classification with incomplete modalities

Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Zhi-Bin Liu, Hui Xiong, Yuan Jiang
IEEE Transactions on Knowledge and Data Engineering 33 (2), 682-695, 2019 (TKDE)


Ekt: Exercise-aware knowledge tracing for student performance prediction

Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu
IEEE Transactions on Knowledge and Data Engineering 33 (1), 100-115, 2019 (TKDE)


Recurrent convolutional neural network for sequential recommendation

Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong
Proceedings of the Web Conference, 2019 (WWW)


Large-scale talent flow forecast with dynamic latent factor model?

Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen
Proceedings of the Web Conference, 2019 (WWW)


Exploring the social learning of taxi drivers in latent vehicle-to-vehicle networks

Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen
IEEE Transactions on Mobile Computing 19 (8), 1804-1817, 2019 (TMC)


An efficient destination prediction approach based on future trajectory prediction and transition matrix optimization

Zhou Yang, Heli Sun, Jianbin Huang, Zhongbin Sun, Hui Xiong, Shaojie Qiao, Ziyu Guan, Xiaolin Jia
IEEE transactions on knowledge and data engineering 32 (2), 203-217, 2018 (TKDE)


SmartTransfer: Modeling the spatiotemporal dynamics of passenger transfers for crowdedness-aware route recommendations

Bowen Du, Yifeng Cui, Yanjie Fu, Runxing Zhong, Hui Xiong
ACM Transactions on Intelligent Systems and Technology (TIST) 9 (6), 1-26, 2018 (ACM TIST)


Dynamic talent flow analysis with deep sequence prediction modeling

Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu
IEEE Transactions on Knowledge and Data Engineering 31 (10), 1926-1939, 2018 (TKDE)


Exploiting the dynamic mutual influence for predicting social event participation

Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen
IEEE Transactions on Knowledge and Data Engineering 31 (6), 1122-1135, 2018 (TKDE)


Representing urban forms: A collective learning model with heterogeneous human mobility data

Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong
IEEE transactions on knowledge and data engineering 31 (3), 535-548, 2018 (TKDE)


Detecting pickpocket suspects from large-scale public transit records

Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 31 (3), 465-478, 2018 (TKDE)


A Multi-Label Multi-View Learning Framework for In-App Service Usage Analysis.

Yanjie Fu, Junming Liu, Xiaolin Li, Hui Xiong
ACM Transactions on Intelligent Systems and Technology 9 (4), 40:1--40:24, 2018 (ACM TIST)


Personalized Air Travel Prediction: A Multi-factor Perspective.

Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang
ACM Transactions on Intelligent Systems and Technology 9 (3), 30:1--30:26, 2018 (ACM TIST)


Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning.

Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li
ACM Transactions on Management Information Systems 9 (3), 1-17, 2018 (ACM TMIS)


Price Shock Detection With an Influence-Based Model of Social Attention.

Keli Xiao, Qi Liu, Chuanren Liu, Hui Xiong
ACM Transactions on Management Information Systems 9 (1), 2:1-2:21, 2018 (ACM TMIS)


Paradoxical Correlation Pattern Mining.

Wenjun Zhou, Hui Xiong, Lian Duan, Keli Xiao, Robert W. Mee
IEEE Transactions on Knowledge and Data Engineering 30 (8), 1561-1574, 2018 (TKDE)


A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation

Jingyuan Yang, Chuanren Liu, Mingfei Teng, Ji Chen, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 30 (5), 810-823, 2018 (TKDE)


An influence propagation view of pagerank

Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-30, 2017


Modeling buying motives for personalized product bundle recommendation

Guannan Liu, Yanjie Fu, Guoqing Chen, Hui Xiong, Can Chen
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-26, 2017


A unified framework for metric transfer learning

Yonghui Xu, Sinno Jialin Pan, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song
IEEE Transactions on Knowledge and Data Engineering 29 (6), 1158-1171, 2017 (TKDE)


A Unified Framework for Concurrent Pedestrian and Cyclist Detection.

Xiaofei Li, Lingxi Li, Fabian Flohr, Jianqiang Wang, Hui Xiong, Bernhard Morys, Shuyue Pan, Dariu M. Gavrila, Keqiang Li
IEEE Transactions on Intelligent Transportation Systems 18 (2), 269-281, 2017 (IEEE TITS)


A proactive workflow model for healthcare operation and management

Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao
IEEE transactions on knowledge and data engineering 29 (3), 586-598, 2016 (TKDE)


Structural analysis of user choices for mobile app recommendation

Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (2), 1-23, 2016


Modeling of geographic dependencies for real estate ranking

Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (1), 1-27, 2016


Service usage classification with encrypted internet traffic in mobile messaging apps

Yanjie Fu, Hui Xiong, Xinjiang Lu, Jin Yang, Can Chen
IEEE Transactions on Mobile Computing 15 (11), 2851-2864, 2016 (TMC)


Occupancy-Based Frequent Pattern Mining*

Lei Zhang, Ping Luo, Linpeng Tang, Enhong Chen, Qi Liu, Min Wang, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (2), 1-33, 2015


Mining mobile user preferences for personalized context-aware recommendation

Hengshu Zhu, Enhong Chen, Hui Xiong, Kuifei Yu, Huanhuan Cao, Jilei Tian
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (4), 1-27, 2014 (ACM TIST)


A general geographical probabilistic factor model for point of interest recommendation

Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao
IEEE Transactions on Knowledge and Data Engineering 27 (5), 1167-1179, 2014 (TKDE)


Toward personalized context recognition for mobile users: A semisupervised Bayesian HMM approach

Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (2), 1-29, 2014


Object-oriented travel package recommendation

Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (3), 1-26, 2014 (ACM TIST)


Popularity modeling for mobile apps: A sequential approach

Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen
IEEE transactions on cybernetics 45 (7), 1303-1314, 2014


An adaptive framework coping with dynamic target speed for device-free passive localization

Xiuyuan Zheng, Jie Yang, Yingying Chen, Hui Xiong
IEEE Transactions on Mobile Computing 14 (6), 1138-1150, 2014 (TMC)


Discovering urban functional zones using latent activity trajectories

Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 27 (3), 712-725, 2014 (TKDE)


Ranking metric anomaly in invariant networks

Yong Ge, Guofei Jiang, Min Ding, Hui Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (2), 1-30, 2014


Discovery of ranking fraud for mobile apps

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
IEEE Transactions on knowledge and data engineering 27 (1), 74-87, 2014 (TKDE)


K-means-based consensus clustering: A unified view

Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, Jian Chen
IEEE transactions on knowledge and data engineering 27 (1), 155-169, 2014 (TKDE)


Cost-aware collaborative filtering for travel tour recommendations

Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
ACM Transactions on Information Systems (TOIS) 32 (1), 1-31, 2014 (ACM TOIS)


Mobile app classification with enriched contextual information

Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian
IEEE Transactions on mobile computing 13 (7), 1550-1563, 2013 (TMC)


Understanding and enhancement of internal clustering validation measures

Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, Sen Wu
IEEE transactions on cybernetics 43 (3), 982-994, 2013


SAIL: Summation-based incremental learning for information-theoretic text clustering

Jie Cao, Zhiang Wu, Junjie Wu, Hui Xiong
IEEE Transactions on Cybernetics 43 (2), 570-584, 2013


Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification (vol 24, pg 2025, 2012)

Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 24 (12), 2301-2301, 2012 (TKDE)


A cocktail approach for travel package recommendation

Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu
IEEE Transactions on Knowledge and Data Engineering 26 (2), 278-293, 2012 (TKDE)


Detecting and tracking topics and events from web search logs

Hongyan Liu, Jun He, Yingqin Gu, Hui Xiong, Xiaoyong Du
ACM Transactions on Information Systems (TOIS) 30 (4), 1-29, 2012 (ACM TOIS)


Erratum to" Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification"

Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 24 (12), 2301-2301, 2012 (TKDE)


Adapting the right measures for pattern discovery: A unified view

Junjie Wu, Shiwei Zhu, Hui Xiong, Jian Chen, Jianming Zhu
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42, 2012


The minimum consistent subset cover problem: a minimization view of data mining

Byron J. Gao, Martin Ester, Hui Xiong, Jin-Yi Cai, Oliver Schulte
IEEE Transactions on Knowledge and Data Engineering 25 (3), 690-703, 2011 (TKDE)


A Generalization of Distance Functions for Fuzzy-Means Clustering With Centroids of Arithmetic Means

Junjie Wu, Hui Xiong, Chen Liu, Jian Chen
IEEE Transactions on Fuzzy Systems 20 (3), 557-571, 2011


Enhancing collaborative filtering by user interest expansion via personalized ranking

Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding, Jian Chen
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42, 2011


Mining distinction and commonality across multiple domains using generative model for text classification

Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering 24 (11), 2025-2039, 2011 (TKDE)


Multifocal learning for customer problem analysis

Yong Ge, Hui Xiong, Wenjun Zhou, Siming Li, Ramendra K. Sahoo
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 1-22, 2011 (ACM TIST)


Semantics-based automated service discovery

Aabhas V. Paliwal, Basit Shafiq, Jaideep Vaidya, Hui Xiong, Nabil R. Adam
IEEE Transactions on Services Computing 5 (2), 260-275, 2011 (IEEE TSC)


On the deep order-preserving submatrix problem: A best effort approach

Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao, Steven J. M. Jones
IEEE transactions on knowledge and data engineering 24 (2), 309-325, 2010 (TKDE)


Achieving guaranteed anonymity in gps traces via uncertainty-aware path cloaking

Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady
IEEE Transactions on Mobile Computing 9 (8), 1089-1107, 2010 (TMC)


Cross-domain learning from multiple sources: A consensus regularization perspective

Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi
IEEE Transactions on Knowledge and Data Engineering 22 (12), 1664-1678, 2009 (TKDE)


K-means Clustering Versus Validation Measures: A Data Distribution Perspective

Hui Xiong, Junjie Wu, Jian Chen
IEEE Transactions on Systems, Man, And Cybernetics—Part B: Cybernetics 39 (2), 2009


Information-theoretic distance measures for clustering validation: Generalization and normalization

Ping Luo, Hui Xiong, Guoxing Zhan, Junjie Wu, Zhongzhi Shi
IEEE Transactions on Knowledge and Data Engineering 21 (9), 1249-1262, 2008 (TKDE)


Conference Papers / Preprints

TIDE: Static-Context Guided Prompt Retrieval for Flood Inundation Forecasting under Missing Data

Jianping Zhu, Weijia Zhang, Hao Liu, Bo Jin, Xiaopeng Wei, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026 (KDD)


Beyond Black Boxes: An Energy-Based Unified Framework for Interpretable Stock Selection

Junren Xiao, Ruiyao Miao, Zixuan Yuan, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026 (KDD)


CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

Junjie Meng, Ranxu Zhang, Zi-an Zhang, Shujun Liu, Xiaoning Qi, Xiaozhou Xu, Yanyong Zhang, Hui Xiong, Chao Wang
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026 (KDD)


U-EHR: A Self-Evolving EHR Agent with Step-Level Credit Assignment and UCB-Guided Memory Retrieval

Hao Wu, Zihan Wang, Ziyang Rao, Heyi Lin, Jinjing Zhu, Qianyi Cai, Yi Zhou, An Lin, Hao Wang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026 (KDD)


SafeBuild-Bench: A Temporal-Robust Construction Safety Benchmark with Graph-Enhanced Data Mining

Yi Cui, Zilin Wang, Yijie Xu, Qianyi Cai, Huizai Yao, Shuai Jiang, Bingzhuo Zhong, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026 (KDD)


Aligning large language models with searcher preferences

Wei Wu, Peilun Zhou, Liyi Chen, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2026 (KDD)


SiLP: Enhancing Non-Dominant Language Capabilities with a Selective Bidirectional Language Projection Framework

Junpeng Liu, Jiuyi Li, Kaiyu Huang, Bo Jin, Degen Huang, Hui Xiong
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, 2026 (ACL)


GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery

Xi Chen, Chuan Qin, Jinpeng Li, Shasha Hu, Chao Wang, Hengshu Zhu, Hui Xiong
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, 2026 (ACL)


Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models

Wei Wu, Liyi Chen, Congxi Xiao, Tianfu Wang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics, 2026 (ACL)


Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV

Tianfu Wang, Liwei Deng, Xi Chen, Junyang Wang, Huiguo He, Zhengyu Hu, Wei Wu, Leilei Ding, Qilin Fan, Hui Xiong
International Conference on Learning Representations, 2026 (ICLR)


Towards generalizable PDE dynamics forecasting via physics-guided invariant learning

Siyang Li, Yize Chen, Yan Guo, Ming Huang, Hui Xiong
International Conference on Learning Representations, 2026 (ICLR)


Forest-Based Graph Learning for Semi-Supervised Node Classification

Jin Li, Shenghao Gao, Kaichen Zhang, Xinlong Chen, Ying Sun, Hui Xiong
International Conference on Learning Representations, 2026 (ICLR)


Beyond the known: An unknown-aware large language model for open-set text classification

Xi Chen, Chuan Qin, Ziqi Wang, Shasha Hu, Chao Wang, Hengshu Zhu, Hui Xiong
International Conference on Learning Representations, 2026 (ICLR)


ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map

Fuling Wang, Le Zhang, Jingbo Zhou, Jindong Han, Ying Sun, Chuan Qin, Hengshu Zhu, Hui Xiong
Proceedings of the ACM Web Conference, 2026 (WWW)


Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization

Qianyi Cai, Ziyue Qiao, Minghao Yang, Xiao Luo, Hui Xiong
Proceedings of the ACM Web Conference, 2026 (WWW)


VSI: Visual-Subtitle Integration for Keyframe Selection to Enhance Long Video Understanding

Jianxiang He, Meisheng Hong, Jungang Li, Weiyu Guo, Xuming Hu, Hui Xiong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 (CVPR)


From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing

Ling Wang, Yunfan Lu, Wenzong Ma, Huizai Yao, Pengteng Li, Hui Xiong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 (CVPR)


Less is more: Token-efficient video-qa via adaptive frame-pruning and semantic graph integration

Shaoguang Wang, Weiyu Guo, Ziyang Chen, Yijie Xu, Xuming Hu, Hui Xiong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 (CVPR)


Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning

Yin Wu, Zhengxuan Zhang, Jiayu Chen, Chang Xu, Yuyu Luo, Nan Tang, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2026 (AAAI)


OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting

Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
Proceedings of the AAAI Conference on Artificial Intelligence, 2026 (AAAI)


Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection

Huizai Yao, Sicheng Zhao, Pengteng Li, Yi Cui, Shuo Lu, Weiyu Guo, Yunfan Lu, Yijie Xu, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2026 (AAAI)


Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models

Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2026 (AAAI)


Multifractal Comparison of Billboard and AI-Generated Music

Kevin Kailun Zhang, Ying Sun, Hui Xiong
Proceedings of the 33rd ACM International Conference on Multimedia, 12419-12427, 2025 (ACM MM)


CitySculpt: 3D City Generation from Satellite Imagery with UV Diffusion

Xingbo Yao, Xuanmin Wang, Hui Xiong
Proceedings of the 33rd ACM International Conference on Multimedia, 9813-9821, 2025 (ACM MM)


Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis

Weiyu Guo, Ziyue Qiao, Ying Sun, Yijie Xu, Hui Xiong
Forty-second International Conference on Machine Learning, 2025 (ICML)


Unveiling the learning mind of language models: A cognitive framework and empirical study

Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
Advances in Neural Information Processing Systems 38, 173084-173133, 2025 (NeurIPS)


See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model

Pengteng Li, Pinhao Song, Wuyang Li, Huizai Yao, Weiyu Guo, Yijie Xu, Dugang Liu, Hui Xiong
Advances in Neural Information Processing Systems 38, 62098-62131, 2025 (NeurIPS)


Robust Explanations of Graph Neural Networks via Graph Curvatures

Yazheng Liu, Xi Zhang, Sihong Xie, Hui Xiong
Advances in Neural Information Processing Systems 38, 30680-30717, 2025 (NeurIPS)


Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning

Ruiyao Miao, Junren Xiao, Shiya Tsang, Hui Xiong, Ying Nian Wu
Advances in Neural Information Processing Systems 38, 144585-144637, 2025 (NeurIPS)


Learning to think: Information-theoretic reinforcement fine-tuning for llms

Jingyao Wang, Wenwen Qiang, Zeen Song, Changwen Zheng, Hui Xiong
Advances in Neural Information Processing Systems 38, 126208-126245, 2025 (NeurIPS)


GVPO: Group Variance Policy Optimization for Large Language Model Post-Training

Kaichen Zhang, Yuzhong Hong, Junwei Bao, Hongfei Jiang, Yang Song, Dingqian Hong, Hui Xiong
Advances in Neural Information Processing Systems 38, 165798-165820, 2025 (NeurIPS)


Multimodal 3D Genome Pre-training

Minghao Yang, Pengteng Li, Yan Liang, Qianyi Cai, Zhihang Zheng, Shichen Zhang, Pengfei Zhang, Zhi-An Huang, Hui Xiong
Advances in Neural Information Processing Systems 38, 130084-130111, 2025 (NeurIPS)


Logic-in-frames: Dynamic keyframe search via visual semantic-logical verification for long video understanding

Weiyu Guo, Ziyang Chen, Shaoguang Wang, Jianxiang He, Yijie Xu, Jinhui Ye, Ying Sun, Hui Xiong
Advances in Neural Information Processing Systems 38, 124389-124422, 2025 (NeurIPS)


ST360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation

Zidong Cao, Jinjing Zhu, Hao Ai, Lutao Jiang, Yuanhuiyi Lyu, Hui Xiong
The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 (NeurIPS)


Enhancing long-tail bundle recommendations utilizing composition pattern modeling

Tianhui Ma, Shuyao Wang, Zhi Zheng, Hui Xiong
Proceedings of the International Joint Conference on Artificial Intelligence, 2025 (IJCAI)


Structure-enhanced protein instruction tuning: Towards general-purpose protein understanding with llms

Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


Scirgen: Synthesize realistic and large-scale rag dataset for scientific research

Junyong Lin, Lu Dai, Ruiqian Han, Yijie Sui, Ruilin Wang, Xingliang Sun, Qinglin Wu, Min Feng, Hao Liu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


Scihorizon: Benchmarking ai-for-science readiness from scientific data to large language models

Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


Unleashing the power of pre-trained language models for irregularly sampled time series

Weijia Zhang, Chenlong Yin, Hao Liu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


A survey on deep learning based time series analysis with frequency transformation

Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


Llm-eraser: Optimizing large language model unlearning through selective pruning

Shengming Zhang, Le Zhang, Jingbo Zhou, Zhi Zheng, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


Instruction semantics enhanced dual-flow graph model for gpu error resilience prediction

Pengfei Yu, Jingjing Gu, Dazhong Shen, Xin Dong, Yang Liu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


LLMLight: Large language models as traffic signal control agents

Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


Joint Dependency and Conflicting Task Allocation in Collaboration-Aware Spatial Crowdsourcing

Jiajun Yao, Lei Yang, Hao Liu, Hui Xiong
2025 IEEE 41st International Conference on Data Engineering (ICDE), 3562-3574, 2025


Hierarchical time-aware mixture of experts for multi-modal sequential recommendation

Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong
Proceedings of the Web Conference, 2025 (WWW)


Automatic instruction data selection for large language models via uncertainty-aware influence maximization

Jindong Han, Hao Liu, Jun Fang, Naiqiang Tan, Hui Xiong
Proceedings of the Web Conference, 2025 (WWW)


Unleashing the power of large language model for denoising recommendation

Shuyao Wang, Zhi Zheng, Yongduo Sui, Hui Xiong
Proceedings of the Web Conference, 2025 (WWW)


Tc-llava: Rethinking the transfer of llava from image to video understanding with temporal considerations

Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2025 (AAAI)


Fusing pruned and backdoored models: Optimal transport-based data-free backdoor mitigation

Weilin Lin, Li Liu, Jianze Li, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2025 (AAAI)


Harnessing multimodal large language models for multimodal sequential recommendation

Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2025 (AAAI)


Scalable Pre-Training of Compact Urban Spatio-Temporal Predictive Models on Large-Scale Multi-Domain Data

Jindong Han, Hao Wang, Hui Xiong, Hao Liu
Proceedings of the VLDB Endowment 18 (7), 2149-2158, 2025 (PVLDB)


Seper: Measure retrieval utility through the lens of semantic perplexity reduction

Lu Dai, Yijie Xu, Jinhui Ye, Hao Liu, Hui Xiong
International Conference on Learning Representations, 2025 (ICLR)


Towards continuous reuse of graph models via holistic memory diversification

Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong
International Conference on Learning Representations, 2025 (ICLR)


RGB-Event ISP: The Dataset and Benchmark

Yunfan Lu, Yanlin Qian, Ziyang Rao, Junren Xiao, Liming Chen, Hui Xiong
International Conference on Learning Representations, 2025 (ICLR)


Unveiling and mitigating backdoor vulnerabilities based on unlearning weight changes and backdoor activeness

Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong
Advances in Neural Information Processing Systems 37, 42097-42122, 2024 (NeurIPS)


Improving gloss-free sign language translation by reducing representation density

Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong
Advances in Neural Information Processing Systems 37, 107379-107402, 2024 (NeurIPS)


Improved bayes regret bounds for multi-task hierarchical bayesian bandit algorithms

Jiechao Guan, Hui Xiong
Advances in Neural Information Processing Systems 37, 72964-72999, 2024 (NeurIPS)


Resource-aware federated self-supervised learning with global class representations

Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
Advances in Neural Information Processing Systems 37, 10008-10035, 2024 (NeurIPS)


Parsimony or capability? decomposition delivers both in long-term time series forecasting

Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor W. Tsang, Hui Xiong
Advances in Neural Information Processing Systems 37, 66687-66712, 2024 (NeurIPS)


Tackling uncertain correspondences for multi-modal entity alignment

Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong
Advances in Neural Information Processing Systems 37, 119386-119410, 2024 (NeurIPS)


Plan-on-graph: Self-correcting adaptive planning of large language model on knowledge graphs

Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong
Advances in Neural Information Processing Systems 37, 37665-37691, 2024 (NeurIPS)


Job-SDF: A multi-granularity dataset for job skill demand forecasting and benchmarking

Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
Advances in Neural Information Processing Systems 37, 129329-129356, 2024 (NeurIPS)


Spgesture: Source-free domain-adaptive semg-based gesture recognition with jaccard attentive spiking neural network

Weiyu Guo, Ying Sun, Yijie Xu, Ziyue Qiao, Yongkui Yang, Hui Xiong
Advances in Neural Information Processing Systems 37, 36717-36747, 2024 (NeurIPS)


DTP-M3Net: Monocular Multiclass Multistage Vulnerable Road User Detection, Tracking and Prediction for Autonomous Driving

Hui Xiong, Fang Zhang, Xuzhi Fang, Heye Huang, Quan Yuan, Qinggui Pan, Dezhao Zhang
2024 IEEE 27th International Conference on Intelligent Transportation, 2024


Killing two birds with one stone: Cross-modal reinforced prompting for graph and language tasks

Wenyuan Jiang, Wenwei Wu, Le Zhang, Zixuan Yuan, Jian Xiang, Jingbo Zhou, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Crosslight: Offline-to-online reinforcement learning for cross-city traffic signal control

Qian Sun, Rui Zha, Le Zhang, Jingbo Zhou, Yu Mei, Zhiling Li, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Refound: Crafting a foundation model for urban region understanding upon language and visual foundations

Congxi Xiao, Jingbo Zhou, Yixiong Xiao, Jizhou Huang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Pail: Performance based adversarial imitation learning engine for carbon neutral optimization

Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Urban foundation models: A survey

Weijia Zhang, Jindong Han, Zhao Xu, Hang Ni, Hao Liu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Interpretable cascading mixture-of-experts for urban traffic congestion prediction

Wenzhao Jiang, Jindong Han, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Optimized cost per click in online advertising: A theoretical analysis

Kaichen Zhang, Zixuan Yuan, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Comet: Nft price prediction with wallet profiling

Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Irregular traffic time series forecasting based on asynchronous spatio-temporal graph convolutional networks

Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Graph signal diffusion model for collaborative filtering

Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024 (SIGIR)


Unifying graph retrieval and prompt tuning for graph-grounded text classification

Le Dai, Yu Yin, Enhong Chen, Hui Xiong
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024 (SIGIR)


Mirror: A multi-view reciprocal recommender system for online recruitment

Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024 (SIGIR)


Afdgcf: Adaptive feature de-correlation graph collaborative filtering for recommendations

Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024 (SIGIR)


Irregular multivariate time series forecasting: A transformable patching graph neural networks approach

Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong
Forty-first International Conference on Machine Learning, 2024 (ICML)


Scaling up multivariate time series pre-training with decoupled spatial-temporal representations

Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen
2024 IEEE 40th International Conference on Data Engineering (ICDE), 667-678, 2024


Unleashing the power of knowledge graph for recommendation via invariant learning

Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong
Proceedings of the Web Conference, 2024 (WWW)


Collaboration-aware hybrid learning for knowledge development prediction

Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong
Proceedings of the Web Conference, 2024 (WWW)


Harnessing large language models for text-rich sequential recommendation

Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong
Proceedings of the Web Conference, 2024 (WWW)


Temporal graph contrastive learning for sequential recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2024 (AAAI)


Self-paced unified representation learning for hierarchical multi-label classification

Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2024 (AAAI)


Event camera demosaicing via swin transformer and pixel-focus loss

Yunfan Lu, Yijie Xu, Wenzong Ma, Weiyu Guo, Hui Xiong
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024 (CVPR)


Bigst: Linear complexity spatio-temporal graph neural network for traffic forecasting on large-scale road networks

Jindong Han, Weijia Zhang, Hao Liu, Tao Tao, Naiqiang Tan, Hui Xiong
Proceedings of the VLDB Endowment 17 (5), 1081-1090, 2024 (PVLDB)


UUKG: unified urban knowledge graph dataset for urban spatiotemporal prediction

Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong
Advances in neural information processing systems 36, 62442-62456, 2023 (NeurIPS)


Interactive interior design recommendation via coarse-to-fine multimodal reinforcement learning

He Zhang, Ying Sun, Weiyu Guo, Yafei Liu, Haonan Lu, Xiaodong Lin, Hui Xiong
Proceedings of the 31st ACM international conference on multimedia, 6472-6480, 2023 (ACM MM)


Community-based dynamic graph learning for popularity prediction

Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Qtiah-gnn: Quantity and topology imbalance-aware heterogeneous graph neural network for bankruptcy prediction

Yucheng Liu, Zipeng Gao, Xiangyang Liu, Pengfei Luo, Yang Yang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


iETA: A robust and scalable incremental learning framework for time-of-arrival estimation

Jindong Han, Hao Liu, Shui Liu, Xi Chen, Naiqiang Tan, Hua Chai, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Recruitpro: A pretrained language model with skill-aware prompt learning for intelligent recruitment

Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Hierarchical reinforcement learning for dynamic autonomous vehicle navigation at intelligent intersections

Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Hyperbolic graph neural networks: A tutorial on methods and applications

Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Theoretical convergence guaranteed resource-adaptive federated learning with mixed heterogeneity

Yangyang Wang, Xiao Zhang, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Spatial heterophily aware graph neural networks

Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Homogcl: Rethinking homophily in graph contrastive learning

Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Graphsha: Synthesizing harder samples for class-imbalanced node classification

Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Multi-temporal relationship inference in urban areas

Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Seq-HGNN: learning sequential node representation on heterogeneous graph

Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 (SIGIR)


Resuformer: Semantic structure understanding for resumes via multi-modal pre-training

Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong
2023 IEEE 39th International Conference on Data Engineering (ICDE), 3154-3167, 2023


A contextual master-slave framework on urban region graph for urban village detection

Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong
2023 IEEE 39th International Conference on Data Engineering (ICDE), 736-748, 2023


Summarizing vehicle driving decision-making methods on vulnerable road user collision avoidance

Quan Yuan, Yiwei Gao, Jiangqi Zhu, Hui Xiong, Qing Xu, Jianqiang Wang
Digital Transportation and Safety 2 (1), 23-35, 2023


Cloth2body: Generating 3d human body mesh from 2d clothing

Lu Dai, Liqian Ma, Shenhan Qian, Hao Liu, Ziwei Liu, Hui Xiong
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)


Autost: Towards the universal modeling of spatio-temporal sequences

Jianxin Li, Shuai Zhang, Hui Xiong, Haoyi Zhou
Advances in Neural Information Processing Systems 35, 20498-20510, 2022 (NeurIPS)


Metamask: Revisiting dimensional confounder for self-supervised learning

Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
Advances in Neural Information Processing Systems 35, 38501-38515, 2022 (NeurIPS)


Multi-agent graph convolutional reinforcement learning for dynamic electric vehicle charging pricing

Weijia Zhang, Hao Liu, Jindong Han, Yong Ge, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022 (KDD)


Cat: Beyond efficient transformer for content-aware anomaly detection in event sequences

Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022 (KDD)


Talent demand-supply joint prediction with dynamic heterogeneous graph enhanced meta-learning

Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022 (KDD)


Ddr: Dialogue based doctor recommendation for online medical service

Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022 (KDD)


Continuous-time and multi-level graph representation learning for origin-destination demand prediction

Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022 (KDD)


Learning the evolutionary and multi-scale graph structure for multivariate time series forecasting

Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022 (KDD)


Captor: A crowd-aware pre-travel recommender system for out-of-town users

Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2022 (SIGIR)


Interventional contrastive learning with meta semantic regularizer

Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
International conference on machine learning, 18018-18030, 2022 (ICML)


Metaug: Contrastive learning via meta feature augmentation

Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
International conference on machine learning, 12964-12978, 2022 (ICML)


Learning to walk with dual agents for knowledge graph reasoning

Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 (AAAI)


Geomgcl: Geometric graph contrastive learning for molecular property prediction

Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 (AAAI)


Knowledge enhanced person-job fit for talent recruitment

Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong
2022 IEEE 38th International Conference on Data Engineering (ICDE), 3467-3480, 2022


CBR: context bias aware recommendation for debiasing user modeling and click prediction

Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong
Proceedings of the Web Conference, 2022 (WWW)


Topic modeling revisited: A document graph-based neural network perspective

Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong
Advances in neural information processing systems 34, 14681-14693, 2021 (NeurIPS)


Discerning decision-making process of deep neural networks with hierarchical voting transformation

Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong
Advances in Neural Information Processing Systems 34, 17221-17234, 2021 (NeurIPS)


Roadside pedestrian motion prediction using Bayesian methods and particle filter

Qing Xu, Haoran Wu, Jianqiang Wang, Hui Xiong, Jinxin Liu, Keqiang Li
IET Intelligent Transport Systems 15 (9), 1167-1182, 2021


Domain-oriented language modeling with adaptive hybrid masking and optimal transport alignment

Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Representation learning on knowledge graphs for node importance estimation

Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Attentive heterogeneous graph embedding for job mobility prediction

Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Modeling context-aware features for cognitive diagnosis in student learning

Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


TMC 2021: 2021 International Workshop on Talent and Management Computing

Hui Xiong, Hengshu Zhu, Tong Xu, Xi Zhang
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Scalable heterogeneous graph neural networks for predicting high-potential early-stage startups

Shengming Zhang, Hao Zhong, Zixuan Yuan, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Talent demand forecasting with attentive neural sequential model

Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Dynamic and multi-faceted spatio-temporal deep learning for traffic speed forecasting

Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Medical entity relation verification with large-scale machine reading comprehension

Yuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Structure-aware interactive graph neural networks for the prediction of protein-ligand binding affinity

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


MugRep: A multi-task hierarchical graph representation learning framework for real estate appraisal

Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


A trend-aware investment target recommendation system with heterogeneous graph

Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong
Proceedings of the International Joint Conference on Artificial Intelligence, 2021 (IJCAI)


Community-aware multi-task transportation demand prediction

Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Out-of-town recommendation with travel intention modeling

Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Joint air quality and weather prediction based on multi-adversarial spatiotemporal networks

Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Informer: Beyond efficient transformer for long sequence time-series forecasting

Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Coupled layer-wise graph convolution for transportation demand prediction

Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Self-supervised prototype representation learning for event-based corporate profiling

Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Description generation for points of interest

Meng Zhou, Jingbo Zhou, Yanjie Fu, Zhaochun Ren, Xiaoli Wang, Hui Xiong
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2213-2218, 2021


Cost-effective and interpretable job skill recommendation with deep reinforcement learning

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong
Proceedings of the Web Conference, 2021 (WWW)


Variable interval time sequence modeling for career trajectory prediction: Deep collaborative perspective

Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong
Proceedings of the Web Conference, 2021 (WWW)


Incremental spatio-temporal graph learning for online query-poi matching

Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong
Proceedings of the Web Conference, 2021 (WWW)


Intelligent electric vehicle charging recommendation based on multi-agent reinforcement learning

Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
Proceedings of the Web Conference, 2021 (WWW)


Fast and robust approaches for lane detection using multi‐camera fusion in complex scenes

Hui Xiong, Dameng Yu, Jinxin Liu, Heye Huang, Qing Xu, Jianqiang Wang, Keqiang Li
IET Intelligent Transport Systems 14 (12), 1582-1593, 2020


Multi-modal transportation recommendation with unified route representation learning

Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, Hui Xiong
Proceedings of the VLDB Endowment 14 (3), 342-350, 2020 (PVLDB)


Enterprise cooperation and competition analysis with a sign-oriented preference network

Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Intelligent exploration for user interface modules of mobile app with collective learning

Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Competitive analysis for points of interest

Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Polestar: An intelligent, efficient and national-wide public transportation routing engine

Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Geodemographic influence maximization

Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Predicting temporal sets with deep neural networks

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Spatio-temporal dual graph attention network for query-poi matching

Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR)


Dual sequential network for temporal sets prediction

Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR)


Spatial object recommendation with hints: When spatial granularity matters

Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpepper, Haochao Ying, Hao Liu, Hui Xiong
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 (SIGIR)


KM 3.0: Knowledge management computing under digital economy

Xuyan Wang, Xi Zhang, Hui Xiong, Patricia Ordóñez de Pablos
Knowledge, People, and Digital Transformation: Approaches for a Sustainable, 2020


An adaptive master-slave regularized model for unexpected revenue prediction enhanced with alternative data

Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, Hui Xiong
2020 IEEE 36th International Conference on Data Engineering (ICDE), 601-612, 2020


Stochastic origin-destination matrix forecasting using dual-stage graph convolutional, recurrent neural networks

Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong
2020 IEEE 36th International conference on data engineering (ICDE), 1417-1428, 2020


Exploiting aesthetic preference in deep cross networks for cross-domain recommendation

Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong
Proceedings of the Web Conference, 2020 (WWW)


Personalized employee training course recommendation with career development awareness

Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
Proceedings of the Web Conference, 2020 (WWW)


Large-scale talent flow embedding for company competitive analysis

Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen
Proceedings of the Web Conference, 2020 (WWW)


Comprehensive and efficient data labeling via adaptive model scheduling

Mu Yuan, Lan Zhang, Xiang-Yang Li, Hui Xiong
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1858-1861, 2020


Relational graph neural network with hierarchical attention for knowledge graph completion

Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 (AAAI)


Setrank: A setwise bayesian approach for collaborative ranking from implicit feedback

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 (AAAI)


Semi-supervised hierarchical recurrent graph neural network for city-wide parking availability prediction

Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 (AAAI)


An integrated approach to probabilistic vehicle trajectory prediction via driver characteristic and intention estimation

Jinxin Liu, Yugong Luo, Hui Xiong, Tinghan Wang, Heye Huang, Zhihua Zhong
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3526-3532, 2019


Leverage of limb detection in pose estimation for vulnerable road users

Sijia Wang, Fabian B. Flohr, Hui Xiong, Tuopu Wen, Baofeng Wang, Mengmeng Yang, Diange Yang
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 528-534, 2019


Inferring mood instability via smartphone sensing: A multi-view learning approach

Xiao Zhang, Fuzhen Zhuang, Wenzhong Li, Haochao Ying, Hui Xiong, Sanglu Lu
Proceedings of the 27th ACM International Conference on Multimedia, 1401-1409, 2019 (ACM MM)


Adversarial substructured representation learning for mobile user profiling

Pengyang Wang, Yanjie Fu, Hui Xiong, Xiaolin Li
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


Adaptive deep models for incremental learning: Considering capacity scalability and sustainability

Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


Multiple relational attention network for multi-task learning

Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


A collaborative learning framework to tag refinement for points of interest

Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Airong Jiang, Ying Li, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


Co-prediction of multiple transportation demands based on deep spatio-temporal neural network

Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


The impact of person-organization fit on talent management: A structure-aware convolutional neural network approach

Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


Hydra: A personalized and context-aware multi-modal transportation recommendation system

Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


Duerquiz: A personalized question recommender system for intelligent job interview

Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


A hierarchical career-path-aware neural network for job mobility prediction

Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


Modelling of bi-directional spatio-temporal dependence and users’ dynamic preferences for missing poi check-in identification

Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 (AAAI)


Incomplete label multi-task deep learning for spatio-temporal event subtype forecasting

Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 (AAAI)


Joint representation learning for multi-modal transportation recommendation

Hao Liu, Ting Li, Renjun Hu, Yanjie Fu, Jingjing Gu, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 (AAAI)


Exploiting the contagious effect for employee turnover prediction

Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 (AAAI)


A Comprehensive Survey on Transfer Learning

Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
A comprehensive survey on transfer learning. CoRR, abs/1911.02685 3, 2019


Preliminary establishment and analysis of automated driving benchmark in China

Hui Xiong, Yinghan Wang, Qiang Ge, Ziqing Gu, Mingyang Cui, Jianqiang Wang, Keqiang Li, Qing Xu
Proceedings of the Web Conference, 2019 (WWW)


On-board pedestrian and cyclist recognition using deep learning methods

Wenqiang Chen, Hui Xiong, Keqiang Li, Xiaofei Li, Dezhao Zhang
18th COTA international conference of transportation professionals, 169-175, 2018


A location-sentiment-aware recommender system for both home-town and out-of-town users

Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017 (KDD)


Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation.

Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong
ACM Multimedia, 916-924, 2017 (ACM MM)


Characterizing the life cycle of point of interests using human mobility patterns

Xinjiang Lu, Zhiwen Yu, Leilei Sun, Chuanren Liu, Hui Xiong, Chu Guan
Proceedings of the International Joint Conference on Artificial Intelligence, 2016 (IJCAI)


Topic modeling of short texts: A pseudo-document view

Yuan Zuo, Junjie Wu, Hui Zhang, Hao Lin, Fei Wang, Ke Xu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Recruitment market trend analysis with sequential latent variable models

Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Unified point-of-interest recommendation with temporal interval assessment

Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Talent circle detection in job transition networks

Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Days on market: Measuring liquidity in real estate markets

Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Data-driven automatic treatment regimen development and recommendation

Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Catch me if you can: Detecting pickpocket suspects from large-scale transit records

Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Taxi driving behavior analysis in latent vehicle-to-vehicle networks: A social influence perspective

Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Rebalancing bike sharing systems: A multi-source data smart optimization

Junming Liu, Leilei Sun, Weiwei Chen, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Temporal phenotyping from longitudinal electronic health records: A graph based framework

Chuanren Liu, Fei Wang, Jianying Hu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015 (KDD)


Real estate ranking via mixed land-use latent models

Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015 (KDD)


Multi-source information fusion for personalized restaurant recommendation

Jing Sun, Yun Xiong, Yangyong Zhu, Junming Liu, Chu Guan, Hui Xiong
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015 (SIGIR)


Temporal skeletonization on sequential data: patterns, categorization, and visualization

Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014 (KDD)


Proactive workflow modeling by stochastic processes with application to healthcare operation and management

Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014 (KDD)


A cost-effective recommender system for taxi drivers

Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014 (KDD)


Mobile app recommendations with security and privacy awareness

Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014 (KDD)


Exploiting geographic dependencies for real estate appraisal: A mutual perspective of ranking and clustering

Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhi-Hua Zhou
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014 (KDD)


Learning geographical preferences for point-of-interest recommendation

Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013 (KDD)


Enhancing investment decisions in P2P lending: An investor composition perspective

Chunyu Luo, Hui Xiong, Wenjun Zhou, Yanhong Guo, Guishi Deng
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011 (KDD)


Cost-aware travel tour recommendation

Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011 (KDD)


A taxi business intelligence system

Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011 (KDD)


Clustering high-frequency stock data for trading volatility analysis

Xiao-Wei Ai, Tianming Hu, Xi Li, Hui Xiong
2010 Ninth International Conference on Machine Learning and Applications, 2010 (ICML)


An energy-efficient mobile recommender system

Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser, Michael J. Pazzani
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010 (KDD)


Multi-focal learning and its application to customer service support

Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo, Xiaofeng Gao, Weili Wu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009 (KDD)


Adapting the right measures for k-means clustering

Junjie Wu, Hui Xiong, Jian Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009 (KDD)


SAIL: Summation-based incremental learning for information-theoretic clustering

Junjie Wu, Hui Xiong, Jian Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008 (KDD)


Volatile correlation computation: a checkpoint view

Wenjun Zhou, Hui Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008 (KDD)


Patents

Agent training method, electronic device and storage medium

Yu Shi, Jingbo Zhou, Le Zhang, Hui Xiong
US Patent App. 19/310,720, 2025


Deoforant ball for shoes

Hui Xiong
US Patent App. 19/094,225, 2025


Data processing method

Siyuan Hao, Le Zhang, Le Dai, Jingbo Zhou, Shengming Zhang, Chuan Qin, Hui Xiong
US Patent App. 18/741,744, 2024


Method and apparatus for controlling traffic light, method and apparatus for navigating unmanned vehicle, and method and apparatus for training model

Qian Sun, Le Zhang, Jingbo Zhou, Hui Xiong, Weijia Zhang, Huan Yu, Yu Mei, Weicen Ling
US Patent App. 18/503,538, 2024


Cross-regional talent flow intention analysis method, electronic device, and storage medium

Ying Sun, Hengshu Zhu, Chuan Qin, Peng Wang, Hui Xiong
US Patent App. 17/945,168, 2023


Method and Apparatus for Training Information Adjustment Model of Charging Station, and Storage Medium

Weijia Zhang, Le Zhang, Hao Liu, Jindong Han, Chuan Qin, Hengshu Zhu, Hui Xiong
US Patent App. 18/125,327, 2023


Method of training model and method of determining asset valuation

Ji Liu, Sunjie Yu, Weijia Zhang, Hao Liu, Hengshu Zhu, Dejing Dou, Hui Xiong
US Patent App. 18/088,872, 2023


Conversational recommendation method, method of training model, device and medium

Zeming Liu, Hao Liu, Zhengyu Niu, Hua Wu, Haifeng Wang, Hui Xiong
US Patent App. 18/059,386, 2023


Interpretation method for neural network model, electronic device and storage medium

Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Hui Xiong
US Patent App. 18/070,775, 2023


Method and apparatus for training path representation model

Qi Zhang, Hengshu Zhu, Peng Wang, Hao Liu, Hui Xiong
US Patent App. 17/900,649, 2022


Information processing method and device

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Hui Xiong, Dejing Dou
US Patent App. 17/565,910, 2022


Method of training prediction model for determining molecular binding force

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
US Patent App. 17/570,416, 2022


Method and Device for Determining Correlation Between Drug and Target, and Electronic Device

Shuangli Li, Jingbo Zhou, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou
US Patent App. 17/570,505, 2022


Point-of-interest recommendation

Hao Liu, Weijia Zhang, Dejing Dou, Hui Xiong
US Patent App. 17/531,132, 2022


Travel recommendation method, electronic device, and storage medium

Hao Liu, Ding Zhou, Tong Xu, Hui Xiong
US Patent App. 17/533,441, 2022


Intelligent recommendation method and apparatus, model training method and apparatus, electronic device, and storage medium

Weijia Zhang, Hao Liu, Dejing Dou, Hui Xiong
US Patent App. 17/445,905, 2021


Method and apparatus for recommending point of interest, device, and medium

Jingbo Zhou, Hui Xiong
US Patent App. 17/386,302, 2021


Training method and apparatus of poi recommendation model of interest points, and electronic device

Jingbo Zhou, Hui Xiong
US Patent App. 17/347,418, 2021


Parking lot free parking space predicting method, apparatus, electronic device and storage medium

Weijia Zhang, Hao Liu, Hui Xiong
US Patent App. 17/024,421, 2021


Land usage property identification method, apparatus, electronic device and storage medium

Xinjiang Lu, Shangfo Huang, Hui Xiong
US Patent App. 17/208,671, 2021


Method, apparatus, device and storage medium for judging permanent area change

Yanyan Li, Jianguo Duan, Hui Xiong
US Patent App. 17/022,269, 2021


Quantitative analysis method and apparatus for user decision-making behavior

Xinjiang Lu, Renjun Hu, Hui Xiong
US Patent App. 17/128,904, 2021


Method and apparatus for recommending a travel plan, device and storage medium

Hao Liu, Hui Xiong
US Patent App. 16/864,458, 2021


Method and apparatus for determining hybrid travel route, device and storage medium

Hao Liu, Jianguo Duan, Hui Xiong
US Patent App. 16/880,156, 2021


Method, Apparatus, Computer Device and Readable Storage Medium for Processing Position Information

Yanyan Li, Jianguo Duan, Hui Xiong
US Patent App. 16/813,782, 2021


Method for Building User Visit Inference Model, Apparatus and Storage Medium

Yanyan Li, Renjun Hu, Jianguo Duan, Airong Jiang, Hui Xiong
US Patent App. 16/654,343, 2020


Computer-assisted interview method and device based on artificial intelligence, and storage medium

Dazhong Shen, Hengshu Zhu, Chao Ma, Chen Zhu, Hui Xiong
US Patent App. 16/406,893, 2019