SELECTED PUBLICATIONS

Citations: 61022 | H-index: 101

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

Big data in complex and social networks

MT Thai, W Wu, H Xiong
CRC Press, 2016


Database Systems for Advanced Applications

S Navathe, W Wu, S Shekhar, X Du, S Wang, H Xiong
Springer, 2016


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

J Wang, H Xiong, Y Ishikawa, J Xu, J Zhou
Springer, 2013


Proceedings of the 14th international conference on Web-Age Information Management

J Wang, H Xiong, Y Ishikawa, J Xu, J Zhou
Springer-Verlag, 2013


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

H Xiong, WB Lee
Springer-Verlag, 2011


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

H Xiong, WB Lee
Springer Science & Business Media, 2011


Encyclopedia of GIS

S Shekhar, H Xiong
Springer Science & Business Media, 2007


Generalizing the notion of support, in ‘KDD’04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining’

M Steinbach, PN Tan, H Xiong, V Kumar
ACM Press, 2004


Clustering and information retrieval

W Wu, H Xiong, S Shekhar
Springer Science & Business Media, 2003


Nature Highlights

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

H Li, Q Hu, Z Qiu, H Xiong, Y Hu, X Gao
Nature Communications 16 (1), 4665, 2025


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

Y Sun, H Zhu, L Wang, L Zhang, H Xiong
Nature Cities 1 (2), 150-163, 2024


Market-oriented job skill valuation with cooperative composition neural network

Y Sun, F Zhuang, H Zhu, Q Zhang, Q He, H Xiong
Nature communications 12 (1), 1992, 2021


Journal Papers

Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis

Z Qiao, X Yu, W Guo, X Luo, M Xiao, H Xiong
IEEE transactions on neural networks and learning systems, 2025 (TNNLS)


Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks

S Cui, Y Li, J Li, X Tang, B Su, F Xu, H Xiong
International Journal of Computer Vision 133 (7), 4134-4157, 2025 (IJCV)


A comprehensive survey of artificial intelligence techniques for talent analytics

C Qin, L Zhang, Y Cheng, R Zha, D Shen, Q Zhang, X Chen, Y Sun, C Zhu, ...
Proceedings of the IEEE, 2025 (Proc. IEEE)


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

J Li, Z Zang, Q Ji, C Sun, W Qiang, J Zhang, C Zheng, F Sun, H Xiong
International Journal of Computer Vision 133 (6), 3542-3567, 2025 (IJCV)


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

Y Sun, H Zhu, H Xiong
IEEE Transactions on Neural Networks and Learning Systems, 2025 (TNNLS)


Examination Process Modeling for Intelligent Patent Management: A Multi-aspect Neural Sequential Approach

H Wu, L Zhang, H Zhu, Q Liu, E Chen, H Xiong
ACM Transactions on Management Information Systems 16 (3), 1-23, 2025 (ACM TMIS)


On the Generalization and Causal Explanation in Self-Supervised Learning

W Qiang, Z Song, Z Gu, J Li, C Zheng, F Sun, H Xiong
International Journal of Computer Vision 133 (4), 1727-1754, 2025 (IJCV)


Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach

H Ma, M Li, C Qin, D Shen, H Zhu, X Zhang, H 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

Y Sun, Y Ji, H Zhu, F Zhuang, Q He, H Xiong
ACM Transactions on Information Systems 43 (2), 1-35, 2025 (ACM TOIS)


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

H Xin, Y Sun, C Wang, H Xiong
ACM Transactions on Information Systems, 2025 (ACM TOIS)


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

W Ju, Y Gu, Z Mao, Z Qiao, Y Qin, X Luo, H Xiong, M Zhang
Science China Information Sciences 68 (1), 112101, 2025 (SCIS)


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

Z Guan, JQ Yang, Y Yang, H Zhu, W Li, H Xiong
ACM Transactions on Knowledge Discovery from Data 19 (1), 1-20, 2024 (TKDD)


Towards task sampler learning for meta-learning

J Wang, W Qiang, X Su, C Zheng, F Sun, H Xiong
International Journal of Computer Vision 132 (12), 5534-5564, 2024 (IJCV)


Multi-dimensional ability diagnosis for machine learning algorithms

Q Liu, Z Gong, Z Huang, C Liu, H Zhu, Z Li, E Chen, H Xiong
Science China Information Sciences 67 (12), 229101, 2024 (SCIS)


TriMLP: A Foundational MLP-Like Architecture for Sequential Recommendation

Y Jiang, Y Xu, Y Yang, F Yang, P Wang, C Li, F Zhuang, H 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

X Zhang, S Xu, H Chen, Z Chen, F Zhuang, H Xiong, D Yu
IEEE Transactions on Knowledge and Data Engineering, 2024 (TKDE)


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

D Shen, C Qin, Q Zhang, H Zhu, H Xiong
IEEE Transactions on Neural Networks and Learning Systems, 2024 (TNNLS)


Manifold Constraint Regularization for Remote Sensing Image Generation

X Su, C Zheng, W Qiang, F Wu, J Zhao, F Sun, H Xiong
IEEE Transactions on Geoscience and Remote Sensing, 2024 (IEEE TGARS)


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

H Sun, Z Tang, M Cao, Y Wang, Z Yang, H Xue, R Xue, L He, H 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

C Zhao, H Zhao, H Zhu, Z Huang, N Feng, E Chen, H 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

Y Ye, H Zhu, T Cui, R Yu, L Zhang, H Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (11), 7255-7267, 2024 (TKDE)


Bilateral multi-behavior modeling for reciprocal recommendation in online recruitment

Z Zheng, X Hu, Z Qiu, Y Cheng, S Gao, Y Song, H Zhu, H 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

H Li, J Gu, X Lu, D Shen, Y Liu, YN Deng, G Shi, H Xiong
ACM Transactions on Information Systems 42 (5), 1-31, 2024 (ACM TOIS)


Bootstrapping on continuous-time dynamic graphs for crowd flow modeling

Y Xu, L Han, L Sun, B Du, C Liu, H 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

Q Wan, C Wan, K Xiao, H Xiong, D Liu, X Liu, R 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

M Xiao, D Wang, M Wu, K Liu, H Xiong, Y Zhou, Y Fu
ACM Transactions on Knowledge Discovery from Data 18 (4), 1-22, 2024 (TKDD)


Diffcharge: Generating ev charging scenarios via a denoising diffusion model

S Li, H Xiong, Y Chen
IEEE Transactions on Smart Grid 15 (4), 3936-3949, 2024


Dewp: Deep expansion learning for wind power forecasting

W Fan, Y Fu, S Zheng, J Bian, Y Zhou, H 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

X Yu, C Qin, D Shen, H Ma, L Zhang, X Zhang, H Zhu, H 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

Z Qiao, P Wang, P Wang, Z Ning, Y Fu, Y Du, Y Zhou, J Huang, XS Hua, ...
ACM Transactions on the Web 18 (2), 1-26, 2024


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

Z Yuan, J Liu, H Zhou, D Zhang, H Liu, N Zhu, H 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

H Sun, C Cao, X Chu, T Hu, J Lu, L He, Z Wang, H He, H Xiong
ACM Transactions on Intelligent Systems and Technology 14 (6), 1-21, 2023 (ACM TIST)


Hyobscure: Hybrid obscuring for privacy-preserving data publishing

X Han, Y Yang, J Wu, H 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

C Wang, H Zhu, C Zhu, C Qin, E Chen, H 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

T Wang, L Shen, Q Fan, T Xu, T Liu, H Xiong
IEEE Transactions on Services Computing 17 (3), 1001-1015, 2023 (IEEE TSC)


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

H Wu, G Zhu, Q Liu, H Zhu, H Wang, H Zhao, C Liu, E Chen, H 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

S Li, J Zhou, T Xu, L Huang, F Wang, H Xiong, W Huang, D Dou, H 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

D Shen, H Zhu, K Xiao, X Zhang, H 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

Z Ye, X Zhang, X Chen, H Xiong, D 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

C Qin, H Zhu, D Shen, Y Sun, K Yao, P Wang, H 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

Y Xu, E Wang, Y Yang, H Xiong
IEEE Transactions on Knowledge and Data Engineering 36 (2), 668-681, 2023 (TKDE)


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

W Qiang, J Li, B Su, J Fu, H Xiong, JR Wen
International Journal of Computer Vision 131 (5), 1211-1233, 2023 (IJCV)


Reinforced imitative graph learning for mobile user profiling

D Wang, P Wang, Y Fu, K Liu, H Xiong, CE 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

W Guo, N Jiang, D Farina, J Su, Z Wang, C Lin, H Xiong
IEEE Transactions on Human-Machine Systems 53 (3), 512-519, 2023


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

H Liu, Q Guo, H Zhu, Y Fu, F Zhuang, X Ma, H Xiong
ACM Transactions on Knowledge Discovery from Data 17 (5), 1-24, 2023 (TKDD)


Hierarchical interdisciplinary topic detection model for research proposal classification

M Xiao, Z Qiao, Y Fu, H Dong, Y Du, P Wang, H Xiong, Y 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

J Han, H Liu, H Zhu, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11515-11528, 2023 (TKDE)


Hyperbolic temporal network embedding

M Yang, M Zhou, H Xiong, I King
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11489-11502, 2022 (TKDE)


Semantic and structural view fusion modeling for social recommendation

K Yuan, G Liu, J Wu, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (11), 11872-11884, 2022 (TKDE)


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

D Wang, K Liu, H Xiong, Y Fu
IEEE Transactions on Big Data 9 (3), 832-844, 2022 (IEEE TBD)


HmcNet: A general approach for hierarchical multi-label classification

W Huang, E Chen, Q Liu, H Xiong, Z Huang, S Tong, D Zhang
IEEE Transactions on Knowledge and Data Engineering 35 (9), 8713-8728, 2022 (TKDE)


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

D Zhang, Y Liu, Z Yuan, Y Fu, H Chen, H 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

J Li, W Qiang, C Zheng, B Su, F Razzak, JR Wen, H 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

N Zhu, J Cao, X Lu, C Liu, H Liu, Y Li, X Luo, H 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

Y Yang, H Wei, H Zhu, D Yu, H Xiong, J Yang
IEEE Transactions on Cybernetics 54 (2), 890-902, 2022


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

Y Xu, H Ying, S Qian, F Zhuang, X Zhang, D Wang, J Wu, H 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

W Zhang, H Liu, H Xiong, T Xu, F Wang, H Xin, H 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

H Zhao, Y Cheng, X Zhang, H Zhu, Q Liu, H Xiong, W 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

H Liu, Q Guo, H Zhu, F Zhuang, S Yang, D Dou, H 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

Z Yao, D Kong, M Lu, X Bai, J Yang, H Xiong
IEEE Transactions on Big Data 9 (1), 280-293, 2022 (IEEE TBD)


Heterogeneous graph representation learning with relation awareness

L Yu, L Sun, B Du, C Liu, W Lv, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (6), 5935-5947, 2022 (TKDE)


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

H Liu, Y Li, Y Fu, H Mei, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (6), 6194-6208, 2022 (TKDE)


Real-time monocular joint perception network for autonomous driving

K Li, H Xiong, J Liu, Q Xu, J Wang
IEEE Transactions on Intelligent Transportation Systems 23 (9), 15864-15877, 2022 (IEEE TITS)


Graph-grounded goal planning for conversational recommendation

Z Liu, D Zhou, H Liu, H Wang, ZY Niu, H Wu, W Che, T Liu, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4923-4939, 2022 (TKDE)


Towards automatic job description generation with capability-aware neural networks

C Qin, K Yao, H Zhu, T Xu, D Shen, E Chen, H Xiong
IEEE Transactions on Knowledge and Data Engineering 35 (5), 5341-5355, 2022 (TKDE)


Adaptive model scheduling for resource-efficient data labeling

M Yuan, L Zhang, XY Li, LZ Yang, H Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (4), 1-22, 2022


MANE: Organizational network embedding with multiplex attentive neural networks

Y Ye, Z Dong, H Zhu, T Xu, X Song, R Yu, H 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

H Niu, H Zhu, Y Sun, X Lu, J Sun, Z Zhao, H Xiong, B 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

H Yu, Z Chen, X Zhang, X Chen, F Zhuang, H Xiong, X Cheng
IEEE transactions on mobile computing 22 (6), 3318-3332, 2021 (TMC)


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

C Wang, H Zhu, P Wang, C Zhu, X Zhang, E Chen, H 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

Y Yang, DW Zhou, DC Zhan, H Xiong, Y Jiang, J Yang
IEEE Transactions on Knowledge and Data Engineering 35 (4), 3575-3588, 2021 (TKDE)


Towards robust knowledge graph embedding via multi-task reinforcement learning

Z Zhang, F Zhuang, H Zhu, C Li, H Xiong, Q He, Y Xu
IEEE Transactions on Knowledge and Data Engineering 35 (4), 4321-4334, 2021 (TKDE)


A comprehensive survey on graph anomaly detection with deep learning

X Ma, J Wu, S Xue, J Yang, C Zhou, QZ Sheng, H Xiong, L Akoglu
IEEE transactions on knowledge and data engineering 35 (12), 12012-12038, 2021 (TKDE)


Automatic treatment regimen design

L Sun, C Liu, G Chen, C Guo, H Xiong, Y 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

Y Sun, F Zhuang, H Zhu, X Song, Q He, H Xiong
IEEE transactions on knowledge and data engineering 35 (3), 2809-2822, 2021 (TKDE)


Learning a hierarchical intent model for next-item recommendation

N Zhu, J Cao, X Lu, H Xiong
ACM Transactions on Information Systems (TOIS) 40 (2), 1-28, 2021 (ACM TOIS)


Automated feature selection: A reinforcement learning perspective

K Liu, Y Fu, L Wu, X Li, C Aggarwal, H 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

W Qiang, J Li, C Zheng, B Su, H 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

D Shen, C Qin, H Zhu, T Xu, E Chen, H Xiong
ACM Transactions on Information Systems (TOIS) 40 (1), 1-36, 2021 (ACM TOIS)


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

Y Yang, H Wei, ZQ Sun, GY Li, Y Zhou, H Xiong, J Yang
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (2), 1-27, 2021


Platform-oriented event time allocation

H Sun, N Wang, J Jia, J Huang, H Xiong, L He, X Liu, S Zhang, S Qiao, ...
IEEE Transactions on Knowledge and Data Engineering 35 (3), 2930-2942, 2021 (TKDE)


Learning adaptive embedding considering incremental class

Y Yang, ZQ Sun, H Zhu, Y Fu, Y Zhou, H Xiong, J 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

W Fan, K Liu, H Liu, Y Ge, H Xiong, Y 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

K Li, H Xiong, D Yu, J Liu, Y Guo, J 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

Q Zhang, H Zhu, Q Liu, E Chen, H Xiong
ACM Transactions on Information Systems (TOIS) 39 (3), 1-32, 2021 (ACM TOIS)


Exploiting network fusion for organizational turnover prediction

M Teng, H Zhu, C Liu, H 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

Y Yang, JQ Yang, R Bao, DC Zhan, H Zhu, XR Gao, H Xiong, J Yang
IEEE Transactions on Knowledge and Data Engineering 35 (1), 211-224, 2021 (TKDE)


Diagnostic sparse connectivity networks with regularization template

Y Qu, C Liu, K Zhang, K Xiao, B Jin, H 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

J Zhou, T Huang, S Li, R Hu, Y Liu, Y Fu, H Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (12), 5681-5692, 2021 (TKDE)


Anti-Interpolation: An Attack Facilitator Hiding Adversaries Into Images

J Chen, H Xiong, H Zheng, Z Ming, Y Liu
IEEE Transactions on Circuits and Systems II: Express Briefs 68 (7), 2670-2674, 2021


Smoothing adversarial training for GNN

J Chen, X Lin, H Xiong, Y Wu, H Zheng, Q Xuan
IEEE Transactions on Computational Social Systems 8 (3), 618-629, 2020


Detect professional malicious user with metric learning in recommender systems

Y Xu, Y Yang, E Wang, F Zhuang, H Xiong
IEEE Transactions on Knowledge and Data Engineering 34 (9), 4133-4146, 2020 (TKDE)


Attribute graph neural networks for strict cold start recommendation

T Qian, Y Liang, Q Li, H 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

W Zhang, H Liu, Y Liu, J Zhou, T Xu, H 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

Y Wang, T Xu, X Niu, C Tan, E Chen, H Xiong
IEEE Transactions on Mobile Computing 21 (6), 2228-2242, 2020 (TMC)


A survey on knowledge graph-based recommender systems

Q Guo, F Zhuang, C Qin, H Zhu, X Xie, H Xiong, Q 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

R Hu, Y Liu, Y Li, J Zhou, S Ma, H 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

H Xiong, CJ Lin
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (5), 1-2, 2020


A comprehensive survey on transfer learning

F Zhuang, Z Qi, K Duan, D Xi, Y Zhu, H Zhu, H Xiong, Q He
Proceedings of the IEEE 109 (1), 43-76, 2020 (Proc. IEEE)


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

K Yuan, G Liu, J Wu, H Xiong
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (5), 1-22, 2020 (ACM TIST)


: A Neural Context Fusion Approach to Raw Mobility Annotation

R Hu, J Zhou, X Lu, H Zhu, S Ma, H 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

Y Xu, Y Yang, E Wang, J Han, F Zhuang, Z Yu, H Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-25, 2020


Enhancing employer brand evaluation with collaborative topic regression models

H Lin, H Zhu, J Wu, Y Zuo, C Zhu, H Xiong
ACM Transactions on Information Systems (TOIS) 38 (4), 1-33, 2020 (ACM TOIS)


Deep subdomain adaptation network for image classification

Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q 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

J Gu, Q Zhou, J Yang, Y Liu, F Zhuang, Y Zhao, H 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

H Liu, Y Tong, J Han, P Zhang, X Lu, H 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

C Qin, H Zhu, T Xu, C Zhu, C Ma, E Chen, H 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

X Lu, Z Yu, C Liu, Y Liu, H Xiong, B Guo
ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (1), 1-27, 2020


Product quantized collaborative filtering

D Lian, X Xie, E Chen, H 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

J Chen, H Zheng, H Xiong, Y Wu, X Lin, S Ying, Q Xuan
Science China. Information Sciences 62 (9), 199104, 2019 (SCIS)


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

Y Yang, DC Zhan, YF Wu, ZB Liu, H Xiong, Y Jiang
IEEE Transactions on Knowledge and Data Engineering 33 (2), 682-695, 2019 (TKDE)


Ekt: Exercise-aware knowledge tracing for student performance prediction

Q Liu, Z Huang, Y Yin, E Chen, H Xiong, Y Su, G Hu
IEEE Transactions on Knowledge and Data Engineering 33 (1), 100-115, 2019 (TKDE)


Recurrent convolutional neural network for sequential recommendation

C Xu, P Zhao, Y Liu, J Xu, VSS S. Sheng, Z Cui, X Zhou, H Xiong
Proceedings of the Web Conference, 2019 (WWW)


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

L Zhang, H Zhu, T Xu, C Zhu, C Qin, H Xiong, E Chen
Proceedings of the Web Conference, 2019 (WWW)


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

T Xu, H Zhu, H Xiong, H Zhong, E 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

Z Yang, H Sun, J Huang, Z Sun, H Xiong, S Qiao, Z Guan, X 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

B Du, Y Cui, Y Fu, R Zhong, H 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

H Xu, Z Yu, J Yang, H Xiong, H Zhu
IEEE Transactions on Knowledge and Data Engineering 31 (10), 1926-1939, 2018 (TKDE)


Exploiting the dynamic mutual influence for predicting social event participation

T Xu, H Zhu, H Zhong, G Liu, H Xiong, E 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

Y Fu, G Liu, Y Ge, P Wang, H Zhu, C Li, H Xiong
IEEE transactions on knowledge and data engineering 31 (3), 535-548, 2018 (TKDE)


Detecting pickpocket suspects from large-scale public transit records

B Du, C Liu, W Zhou, Z Hou, H 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.

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


Personalized Air Travel Prediction: A Multi-factor Perspective.

YH Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong
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.

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


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

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


Paradoxical Correlation Pattern Mining.

RM Wenjun Zhou, Hui Xiong, Lian Duan, Keli Xiao
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

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


An influence propagation view of pagerank

Q Liu, B Xiang, NJ Yuan, E Chen, H Xiong, Y Zheng, Y Yang
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-30, 2017


Modeling buying motives for personalized product bundle recommendation

G Liu, Y Fu, G Chen, H Xiong, C Chen
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-26, 2017


A unified framework for metric transfer learning

Y Xu, SJ Pan, H Xiong, Q Wu, R Luo, H Min, H Song
IEEE Transactions on Knowledge and Data Engineering 29 (6), 1158-1171, 2017 (TKDE)


A Unified Framework for Concurrent Pedestrian and Cyclist Detection.

KL Xiaofei Li, Lingxi Li, Fabian Flohr, Jianqiang Wang, Hui Xiong, Bernhard ...
IEEE Transactions on Intelligent Transportation Systems 18 (2), 269-281, 2017 (IEEE TITS)


A proactive workflow model for healthcare operation and management

C Liu, H Xiong, S Papadimitriou, Y Ge, K Xiao
IEEE transactions on knowledge and data engineering 29 (3), 586-598, 2016 (TKDE)


Structural analysis of user choices for mobile app recommendation

B Liu, Y Wu, NZ Gong, J Wu, H Xiong, M Ester
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (2), 1-23, 2016


Modeling of geographic dependencies for real estate ranking

Y Fu, H Xiong, Y Ge, Y Zheng, Z Yao, ZH 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

Y Fu, H Xiong, X Lu, J Yang, C Chen
IEEE Transactions on Mobile Computing 15 (11), 2851-2864, 2016 (TMC)


Occupancy-Based Frequent Pattern Mining*

L Zhang, P Luo, L Tang, E Chen, Q Liu, M Wang, H Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (2), 1-33, 2015


Mining mobile user preferences for personalized context-aware recommendation

H Zhu, E Chen, H Xiong, K Yu, H Cao, J 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

B Liu, H Xiong, S Papadimitriou, Y Fu, Z 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

B Huai, E Chen, H Zhu, H Xiong, T Bao, Q Liu, J Tian
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (2), 1-29, 2014


Object-oriented travel package recommendation

C Tan, Q Liu, E Chen, H Xiong, X Wu
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (3), 1-26, 2014 (ACM TIST)


Popularity modeling for mobile apps: A sequential approach

H Zhu, C Liu, Y Ge, H Xiong, E Chen
IEEE transactions on cybernetics 45 (7), 1303-1314, 2014


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

X Zheng, J Yang, Y Chen, H Xiong
IEEE Transactions on Mobile Computing 14 (6), 1138-1150, 2014 (TMC)


Discovering urban functional zones using latent activity trajectories

NJ Yuan, Y Zheng, X Xie, Y Wang, K Zheng, H Xiong
IEEE Transactions on Knowledge and Data Engineering 27 (3), 712-725, 2014 (TKDE)


Ranking metric anomaly in invariant networks

Y Ge, G Jiang, M Ding, H Xiong
ACM Transactions on Knowledge Discovery from Data (TKDD) 8 (2), 1-30, 2014


Discovery of ranking fraud for mobile apps

H Zhu, H Xiong, Y Ge, E Chen
IEEE Transactions on knowledge and data engineering 27 (1), 74-87, 2014 (TKDE)


K-means-based consensus clustering: A unified view

J Wu, H Liu, H Xiong, J Cao, J Chen
IEEE transactions on knowledge and data engineering 27 (1), 155-169, 2014 (TKDE)


Cost-aware collaborative filtering for travel tour recommendations

Y Ge, H Xiong, A Tuzhilin, Q Liu
ACM Transactions on Information Systems (TOIS) 32 (1), 1-31, 2014 (ACM TOIS)


Mobile app classification with enriched contextual information

H Zhu, E Chen, H Xiong, H Cao, J Tian
IEEE Transactions on mobile computing 13 (7), 1550-1563, 2013 (TMC)


Understanding and enhancement of internal clustering validation measures

Y Liu, Z Li, H Xiong, X Gao, J Wu, S Wu
IEEE transactions on cybernetics 43 (3), 982-994, 2013


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

J Cao, Z Wu, J Wu, H 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)

F Zhuang, P Luo, Z Shen, Q He, Y Xiong, Z Shi, H Xiong
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 24 (12), 2301-2301, 2012 (TKDE)


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

F Zhuang, P Luo, Z Shen, Q He, Y Xiong, Z Shi, H Xiong
IEEE Transactions on Knowledge & Data Engineering 24 (12), 2301-2301, 2012


A cocktail approach for travel package recommendation

Q Liu, E Chen, H Xiong, Y Ge, Z Li, X Wu
IEEE Transactions on Knowledge and Data Engineering 26 (2), 278-293, 2012 (TKDE)


Detecting and tracking topics and events from web search logs

H Liu, J He, Y Gu, H Xiong, X Du
ACM Transactions on Information Systems (TOIS) 30 (4), 1-29, 2012 (ACM TOIS)


Adapting the right measures for pattern discovery: A unified view

J Wu, S Zhu, H Xiong, J Chen, J 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

BJ Gao, M Ester, H Xiong, JY Cai, O 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

J Wu, H Xiong, C Liu, J Chen
IEEE Transactions on Fuzzy Systems 20 (3), 557-571, 2011


Enhancing collaborative filtering by user interest expansion via personalized ranking

Q Liu, E Chen, H Xiong, CHQ Ding, J 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

F Zhuang, P Luo, Z Shen, Q He, Y Xiong, Z Shi, H Xiong
IEEE Transactions on Knowledge and Data Engineering 24 (11), 2025-2039, 2011 (TKDE)


Multifocal learning for customer problem analysis

Y Ge, H Xiong, W Zhou, S Li, R Sahoo
ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 1-22, 2011 (ACM TIST)


Semantics-based automated service discovery

AV Paliwal, B Shafiq, J Vaidya, H Xiong, N Adam
IEEE Transactions on Services Computing 5 (2), 260-275, 2011 (IEEE TSC)


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

BJ Gao, OL Griffith, M Ester, H Xiong, Q Zhao, SJM 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

B Hoh, M Gruteser, H Xiong, A Alrabady
IEEE Transactions on Mobile Computing 9 (8), 1089-1107, 2010 (TMC)


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

F Zhuang, P Luo, H Xiong, Y Xiong, Q He, Z Shi
IEEE Transactions on Knowledge and Data Engineering 22 (12), 1664-1678, 2009 (TKDE)


Senior Member, IEEE, Junjie Wu, and Jian Chen, Fellow, IEEE K-means Clustering Versus Validation Measures: A Data Distribution Perspective IEEE Transactions on Systems, Man and …

H Xiong
IEEE Transactions on Systems, Man, And Cybernetics—Part B: Cybernetics 39 (2), 2009


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

P Luo, H Xiong, G Zhan, J Wu, Z Shi
IEEE Transactions on Knowledge and Data Engineering 21 (9), 1249-1262, 2008 (TKDE)


TAPER: A two-step approach for all-strong-pairs correlation query in large databases

H Xiong, S Shekhar, PM Tan, V Kumar
IEEE Transactions on Knowledge and Data Engineering 18 (4), 493-508, 2006 (TKDE)


Enhancing data analysis with noise removal

H Xiong, G Pandey, M Steinbach, V Kumar
IEEE transactions on knowledge and data engineering 18 (3), 304-319, 2006 (TKDE)


Discovering colocation patterns from spatial data sets: a general approach

Y Huang, S Shekhar, H Xiong
IEEE Transactions on Knowledge and data engineering 16 (12), 1472-1485, 2004 (TKDE)


Conference Papers / Preprints

Multifractal Comparison of Billboard and AI-Generated Music

KK Zhang, Y Sun, H 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

X Yao, X Wang, H 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

W Guo, Z Qiao, Y Sun, Y Xu, H Xiong
Forty-second International Conference on Machine Learning, 2025 (ICML)


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

Z Cao, J Zhu, H Ai, L Jiang, Y Lyu, H Xiong
The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 (NeurIPS)


Enhancing long-tail bundle recommendations utilizing composition pattern modeling

T Ma, S Wang, Z Zheng, H Xiong
Proceedings of the International Joint Conference on Artificial Intelligence, 2025 (IJCAI)


The 6th International Workshop on Talent and Management Computing (TMC 2025)

H Zhu, Y Ge, H Xiong, EP Lim
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 (KDD)


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

W Wu, C Wang, L Chen, M Yin, Y Zhu, K Fu, J Ye, H Xiong, Z 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

J Lin, L Dai, R Han, Y Sui, R Wang, X Sun, Q Wu, M Feng, H Liu, H 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

C Qin, X Chen, C Wang, P Wu, X Chen, Y Cheng, J Zhao, M Xiao, X Dong, ...
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

W Zhang, C Yin, H Liu, H 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

K Yi, Q Zhang, W Fan, L Cao, S Wang, H He, G Long, L Hu, Q Wen, ...
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

S Zhang, L Zhang, J Zhou, Z Zheng, H 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

P Yu, J Gu, D Shen, X Dong, Y Liu, H 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

S Lai, Z Xu, W Zhang, H Liu, H 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

J Yao, L Yang, H Liu, H Xiong
2025 IEEE 41st International Conference on Data Engineering (ICDE), 3562-3574, 2025


Llm-powered multi-agent framework for goal-oriented learning in intelligent tutoring system

T Wang, Y Zhan, J Lian, Z Hu, NJ Yuan, Q Zhang, X Xie, H Xiong
Proceedings of the Web Conference, 2025 (WWW)


Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation

S Zhang, L Chen, D Shen, C Wang, H Xiong
Proceedings of the Web Conference, 2025 (WWW)


Automatic Instruction Data Selection for Large Language Models via Uncertainty-Aware Influence Maximization

J Han, H Liu, J Fang, N Tan, H Xiong
Proceedings of the Web Conference, 2025 (WWW)


Unleashing the Power of Large Language Model for Denoising Recommendation

S Wang, Z Zheng, Y Sui, H Xiong
Proceedings of the Web Conference, 2025 (WWW)


TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations

M Gao, J Liu, M Li, J Xie, Q Liu, K Zhao, X Chen, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2025 (AAAI)


Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation

W Lin, L Liu, J Li, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2025 (AAAI)


Harnessing multimodal large language models for multimodal sequential recommendation

Y Ye, Z Zheng, Y Shen, T Wang, H Zhang, P Zhu, R Yu, K Zhang, H 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

J Han, H Wang, H Xiong, H Liu
Proceedings of the VLDB Endowment 18 (7), 2149-2158, 2025 (PVLDB)


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

W Lin, L Liu, S Wei, J Li, H Xiong
Advances in Neural Information Processing Systems 37, 42097-42122, 2024 (NeurIPS)


Improving gloss-free sign language translation by reducing representation density

J Ye, X Wang, W Jiao, J Liang, H Xiong
Advances in Neural Information Processing Systems 37, 107379-107402, 2024 (NeurIPS)


Improved Bayes regret bounds for multi-task hierarchical Bayesian bandit algorithms

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


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

M Li, X Zhang, Q Wang, T Liu, R Wu, W Wang, F Zhuang, H Xiong, D Yu
Advances in Neural Information Processing Systems 37, 10008-10035, 2024 (NeurIPS)


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

J Deng, F Ye, D Yin, X Song, I Tsang, H Xiong
Advances in Neural Information Processing Systems 37, 66687-66712, 2024 (NeurIPS)


Tackling uncertain correspondences for multi-modal entity alignment

L Chen, Y Sun, S Zhang, Y Ye, W Wu, H 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

L Chen, P Tong, Z Jin, Y Sun, J Ye, H 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

X Chen, C Qin, C Fang, C Wang, F Zhuang, H Zhu, H 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

W Guo, Y Sun, Y Xu, Z Qiao, Y Yang, H 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

H Xiong, F Zhang, X Fang, H Huang, Q Yuan, Q Pan, D 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

W Jiang, W Wu, L Zhang, Z Yuan, J Xiang, J Zhou, H 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

Q Sun, R Zha, L Zhang, J Zhou, Y Mei, Z Li, H 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

C Xiao, J Zhou, Y Xiao, J Huang, H 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

Y Ye, LA Tang, H Wang, R Yu, W Yu, E He, H Chen, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Urban foundation models: A survey

W Zhang, J Han, Z Xu, H Ni, H Liu, H 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

W Jiang, J Han, H Liu, T Tao, N Tan, H 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

K Zhang, Z Yuan, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Comet: Nft price prediction with wallet profiling

T Wang, L Deng, C Wang, J Lian, Y Yan, NJ Yuan, Q Zhang, H 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

W Zhang, L Zhang, J Han, H Liu, Y Fu, J Zhou, Y Mei, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024 (KDD)


Pre-dygae: Pre-training enhanced dynamic graph autoencoder for occupational skill demand forecasting

X Chen, C Qin, Z Wang, Y Cheng, C Wang, H Zhu, H Xiong
Proceedings of the International Joint Conference on Artificial Intelligence, 2024 (IJCAI)


Graph signal diffusion model for collaborative filtering

Y Zhu, C Wang, Q Zhang, H 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

L Dai, Y Yin, E Chen, H 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

Z Zheng, X Hu, S Gao, H Zhu, H 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

W Wu, C Wang, D Shen, C Qin, L Chen, H 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

W Zhang, C Yin, H Liu, X Zhou, H Xiong
Forty-first International Conference on Machine Learning, 2024 (ICML)


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

R Zha, L Zhang, S Li, J Zhou, T Xu, H Xiong, E Chen
2024 IEEE 40th International Conference on Data Engineering (ICDE), 667-678, 2024


Unleashing the power of knowledge graph for recommendation via invariant learning

S Wang, Y Sui, C Wang, H Xiong
Proceedings of the Web Conference, 2024 (WWW)


Collaboration-aware hybrid learning for knowledge development prediction

L Chen, C Qin, Y Sun, X Song, T Xu, H Zhu, H Xiong
Proceedings of the Web Conference, 2024 (WWW)


Harnessing large language models for text-rich sequential recommendation

Z Zheng, W Chao, Z Qiu, H Zhu, H Xiong
Proceedings of the Web Conference, 2024 (WWW)


Temporal graph contrastive learning for sequential recommendation

S Zhang, L Chen, C Wang, S Li, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2024 (AAAI)


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

Z Yuan, H Liu, H Zhou, D Zhang, X Zhang, H Wang, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2024 (AAAI)


Event camera demosaicing via swin transformer and pixel-focus loss

Y Lu, Y Xu, W Ma, W Guo, H 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

J Han, W Zhang, H Liu, T Tao, N Tan, H Xiong
Proceedings of the VLDB Endowment 17 (5), 1081-1090, 2024 (PVLDB)


UUKG: unified urban knowledge graph dataset for urban spatiotemporal prediction

Y Ning, H Liu, H Wang, Z Zeng, H Xiong
Advances in neural information processing systems 36, 62442-62456, 2023 (NeurIPS)


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

H Zhang, Y Sun, W Guo, Y Liu, H Lu, X Lin, H Xiong
Proceedings of the 31st ACM International Conference on Multimedia, 6472-6480, 2023 (ACM MM)


Community-based dynamic graph learning for popularity prediction

S Ji, X Lu, M Liu, L Sun, C Liu, B Du, H 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

Y Liu, Z Gao, X Liu, P Luo, Y Yang, H 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

J Han, H Liu, S Liu, X Chen, N Tan, H Chai, H 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

C Fang, C Qin, Q Zhang, K Yao, J Zhang, H Zhu, F Zhuang, H 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

Q Sun, L Zhang, H Yu, W Zhang, Y Mei, H 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

M Zhou, M Yang, B Xiong, H Xiong, I 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

Y Wang, X Zhang, M Li, T Lan, H Chen, H Xiong, X Cheng, D Yu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Spatial heterophily aware graph neural networks

C Xiao, J Zhou, J Huang, T Xu, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Homogcl: Rethinking homophily in graph contrastive learning

WZ Li, CD Wang, H Xiong, JH 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

WZ Li, CD Wang, H Xiong, JH Lai
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2023 (KDD)


Multi-temporal relationship inference in urban areas

S Li, J Zhou, J Liu, T Xu, E Chen, H 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

C Du, K Yao, H Zhu, D Wang, F Zhuang, H 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

K Yao, J Zhang, C Qin, X Song, P Wang, H Zhu, H 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

C Xiao, J Zhou, J Huang, H Zhu, T Xu, D Dou, H 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

Q Yuan, Y Gao, J Zhu, H Xiong, Q Xu, J Wang
Digital Transportation and Safety 2 (1), 23-35, 2023


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

L Dai, L Ma, S Qian, H Liu, Z Liu, H Xiong
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 (ICCV)


Autost: Towards the universal modeling of spatio-temporal sequences

J Li, S Zhang, H Xiong, H Zhou
Advances in Neural Information Processing Systems 35, 20498-20510, 2022 (NeurIPS)


Metamask: Revisiting dimensional confounder for self-supervised learning

J Li, W Qiang, Y Zhang, W Mo, C Zheng, B Su, H Xiong
Advances in Neural Information Processing Systems 35, 38501-38515, 2022 (NeurIPS)


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

W Zhang, H Liu, J Han, Y Ge, H 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

S Zhang, Y Liu, X Zhang, W Cheng, H Chen, H 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

Z Guo, H Liu, L Zhang, Q Zhang, H Zhu, H 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

Z Zheng, Z Qiu, H Xiong, X Wu, T Xu, E Chen, X 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

L Han, X Ma, L Sun, B Du, Y Fu, W Lv, H 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

J Ye, Z Liu, B Du, L Sun, W Li, Y Fu, H 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

H Xin, X Lu, N Zhu, T Xu, D Dou, H 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

W Qiang, J Li, C Zheng, B Su, H Xiong
International conference on machine learning, 18018-18030, 2022 (ICML)


Metaug: Contrastive learning via meta feature augmentation

J Li, W Qiang, C Zheng, B Su, H Xiong
International conference on machine learning, 12964-12978, 2022 (ICML)


Learning to walk with dual agents for knowledge graph reasoning

D Zhang, Z Yuan, H Liu, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 (AAAI)


Geomgcl: Geometric graph contrastive learning for molecular property prediction

S Li, J Zhou, T Xu, D Dou, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 (AAAI)


Knowledge enhanced person-job fit for talent recruitment

K Yao, J Zhang, C Qin, P Wang, H Zhu, H 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

Z Zheng, Z Qiu, T Xu, X Wu, X Zhao, E Chen, H Xiong
Proceedings of the Web Conference, 2022 (WWW)


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

D Shen, C Qin, C Wang, Z Dong, H Zhu, H Xiong
Advances in neural information processing systems 34, 14681-14693, 2021 (NeurIPS)


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

Y Sun, H Zhu, C Qin, F Zhuang, Q He, H Xiong
Advances in Neural Information Processing Systems 34, 17221-17234, 2021 (NeurIPS)


Roadside pedestrian motion prediction using Bayesian methods and particle filter

Q Xu, H Wu, J Wang, H Xiong, J Liu, K Li
IET Intelligent Transport Systems 15 (9), 1167-1182, 2021


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

D Zhang, Z Yuan, Y Liu, H Liu, F Zhuang, H Xiong, H 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

H Huang, L Sun, B Du, C Liu, W Lv, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Attentive heterogeneous graph embedding for job mobility prediction

L Zhang, D Zhou, H Zhu, T Xu, R Zha, E Chen, H 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

Y Zhou, Q Liu, J Wu, F Wang, Z Huang, W Tong, H Xiong, E Chen, J 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

H Xiong, H Zhu, T Xu, X 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

S Zhang, H Zhong, Z Yuan, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2021 (KDD)


Talent demand forecasting with attentive neural sequential model

Q Zhang, H Zhu, Y Sun, H Liu, F Zhuang, H 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

L Han, B Du, L Sun, Y Fu, Y Lv, H 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

Y Xia, C Wang, Z Shi, J Zhou, C Lu, H Huang, H 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

S Li, J Zhou, T Xu, L Huang, F Wang, H Xiong, W Huang, D Dou, H 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

W Zhang, H Liu, L Zha, H Zhu, J Liu, D Dou, H 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

M Chen, C Wang, C Qin, T Xu, J Ma, E Chen, H Xiong
Proceedings of the International Joint Conference on Artificial Intelligence, 2021 (IJCAI)


Community-aware multi-task transportation demand prediction

H Liu, Q Wu, F Zhuang, X Lu, D Dou, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Out-of-town recommendation with travel intention modeling

H Xin, X Lu, T Xu, H Liu, J Gu, D Dou, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


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

J Han, H Liu, H Zhu, H Xiong, D Dou
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


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

H Zhou, S Zhang, J Peng, S Zhang, J Li, H Xiong, W Zhang
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Coupled layer-wise graph convolution for transportation demand prediction

J Ye, L Sun, B Du, Y Fu, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


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

Z Yuan, H Liu, R Hu, D Zhang, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI)


Description generation for points of interest

M Zhou, J Zhou, Y Fu, Z Ren, X Wang, H Xiong
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2213-2218, 2021


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

Y Sun, F Zhuang, H Zhu, Q He, H Xiong
Proceedings of the Web Conference, 2021 (WWW)


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

C Wang, H Zhu, Q Hao, K Xiao, H Xiong
Proceedings of the Web Conference, 2021 (WWW)


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

Z Yuan, H Liu, J Liu, Y Liu, Y Yang, R Hu, H Xiong
Proceedings of the Web Conference, 2021 (WWW)


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

W Zhang, H Liu, F Wang, T Xu, H Xin, D Dou, H Xiong
Proceedings of the Web Conference, 2021 (WWW)


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

H Xiong, D Yu, J Liu, H Huang, Q Xu, J Wang, K Li
IET Intelligent Transport Systems 14 (12), 1582-1593, 2020


Multi-modal transportation recommendation with unified route representation learning

H Liu, J Han, Y Fu, J Zhou, X Lu, H Xiong
Proceedings of the VLDB Endowment 14 (3), 342-350, 2020 (PVLDB)


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

L Dai, Y Yin, C Qin, T Xu, X He, E Chen, H 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

J Zhou, Z Tang, M Zhao, X Ge, F Zhuang, M Zhou, L Zou, C Yang, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Competitive analysis for points of interest

S Li, J Zhou, T Xu, H Liu, X Lu, H 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

H Liu, Y Li, Y Fu, H Mei, J Zhou, X Ma, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Geodemographic influence maximization

K Zhang, J Zhou, D Tao, P Karras, Q Li, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2020 (KDD)


Predicting temporal sets with deep neural networks

L Yu, L Sun, B Du, C Liu, H Xiong, W 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

Z Yuan, H Liu, Y Liu, D Zhang, F Yi, N Zhu, H 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

L Sun, Y Bai, B Du, C Liu, H Xiong, W 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

H Luo, J Zhou, Z Bao, S Li, JS Culpepper, H Ying, H Liu, H 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

X Wang, X Zhang, H Xiong, PO 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

J Xu, J Zhou, Y Jia, J Li, X Hui
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

J Hu, B Yang, C Guo, CS Jensen, H Xiong
2020 IEEE 36th International conference on data engineering (ICDE), 1417-1428, 2020


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

J Liu, P Zhao, F Zhuang, Y Liu, VS Sheng, J Xu, X Zhou, H Xiong
Proceedings of the Web Conference, 2020 (WWW)


Personalized employee training course recommendation with career development awareness

C Wang, H Zhu, C Zhu, X Zhang, E Chen, H Xiong
Proceedings of the Web Conference, 2020 (WWW)


Large-scale talent flow embedding for company competitive analysis

L Zhang, T Xu, H Zhu, C Qin, Q Meng, H Xiong, E Chen
Proceedings of the Web Conference, 2020 (WWW)


Comprehensive and efficient data labeling via adaptive model scheduling

M Yuan, L Zhang, XY Li, H Xiong
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1858-1861, 2020


Relational graph neural network with hierarchical attention for knowledge graph completion

Z Zhang, F Zhuang, H Zhu, Z Shi, H Xiong, Q He
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 (AAAI)


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

C Wang, H Zhu, C Zhu, C Qin, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 (AAAI)


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

W Zhang, H Liu, Y Liu, J Zhou, H 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

J Liu, Y Luo, H Xiong, T Wang, H Huang, Z Zhong
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3526-3532, 2019


Leverage of limb detection in pose estimation for vulnerable road users

S Wang, FB Flohr, H Xiong, T Wen, B Wang, M Yang, D Yang
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 528-534, 2019


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

X Zhang, F Zhuang, W Li, H Ying, H Xiong, S Lu
Proceedings of the 27th ACM International Conference on Multimedia, 1401-1409, 2019 (ACM MM)


Adversarial substructured representation learning for mobile user profiling

P Wang, Y Fu, H Xiong, X 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

Y Yang, DW Zhou, DC Zhan, H Xiong, Y Jiang
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019 (KDD)


Multiple relational attention network for multi-task learning

J Zhao, B Du, L Sun, F Zhuang, W Lv, H 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

J Zhou, S Gou, R Hu, D Zhang, J Xu, A Jiang, Y Li, H 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

J Ye, L Sun, B Du, Y Fu, X Tong, H 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

Y Sun, F Zhuang, H Zhu, X Song, Q He, H 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

H Liu, Y Tong, P Zhang, X Lu, J Duan, H 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

C Qin, H Zhu, C Zhu, T Xu, F Zhuang, C Ma, J Zhang, H 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

Q Meng, H Zhu, K Xiao, L Zhang, H 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

D Xi, F Zhuang, Y Liu, J Gu, H Xiong, Q He
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 (AAAI)


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

Y Gao, L Zhao, L Wu, Y Ye, H Xiong, C Yang
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 (AAAI)


Joint representation learning for multi-modal transportation recommendation

H Liu, T Li, R Hu, Y Fu, J Gu, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 (AAAI)


Exploiting the contagious effect for employee turnover prediction

M Teng, H Zhu, C Liu, C Zhu, H Xiong
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 (AAAI)


Qing He

F Zhuang, Z Qi, K Duan, D Xi, Y Zhu, H Zhu, H Xiong
A comprehensive survey on transfer learning. CoRR, abs/1911.02685 3, 2019


Preliminary establishment and analysis of automated driving benchmark in China

X Hui, Y Wang, Q Ge, Z Gu, M Cui, J Wang, K Li, Q Xu
Proceedings of the Web Conference, 2019 (WWW)


On-board pedestrian and cyclist recognition using deep learning methods

W Chen, H Xiong, K Li, X Li, D 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

H Wang, Y Fu, Q Wang, H Yin, C Du, H 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.

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


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

X Lu, Z Yu, L Sun, C Liu, H Xiong, C Guan
Proceedings of the International Joint Conference on Artificial Intelligence, 2016 (IJCAI)


Topic modeling of short texts: A pseudo-document view

Y Zuo, J Wu, H Zhang, H Lin, F Wang, K Xu, H 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

C Zhu, H Zhu, H Xiong, P Ding, F 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

Y Liu, C Liu, B Liu, M Qu, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Talent circle detection in job transition networks

H Xu, Z Yu, J Yang, H Xiong, H 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

H Zhu, H Xiong, F Tang, Q Liu, Y Ge, E Chen, Y Fu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 (KDD)


Data-driven automatic treatment regimen development and recommendation

L Sun, C Liu, C Guo, H Xiong, Y 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

B Du, C Liu, W Zhou, Z Hou, H 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

T Xu, H Zhu, X Zhao, Q Liu, H Zhong, E Chen, H 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

J Liu, L Sun, W Chen, H 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

C Liu, F Wang, J Hu, H 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

Y Fu, G Liu, S Papadimitriou, H Xiong, Y Ge, H Zhu, C Zhu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015 (KDD)


Multi-source information fusion for personalized restaurant recommendation

J Sun, Y Xiong, Y Zhu, J Liu, C Guan, H 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

C Liu, K Zhang, H Xiong, G Jiang, Q 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

C Liu, Y Ge, H Xiong, K Xiao, W Geng, M Perkins
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014 (KDD)


A cost-effective recommender system for taxi drivers

M Qu, H Zhu, J Liu, G Liu, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014 (KDD)


Mobile app recommendations with security and privacy awareness

H Zhu, H Xiong, Y Ge, E 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

Y Fu, H Xiong, Y Ge, Z Yao, Y Zheng, ZH Zhou
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014 (KDD)


Learning geographical preferences for point-of-interest recommendation

B Liu, Y Fu, Z Yao, H 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

C Luo, H Xiong, W Zhou, Y Guo, G Deng
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011 (KDD)


Cost-aware travel tour recommendation

Y Ge, Q Liu, H Xiong, A Tuzhilin, J Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011 (KDD)


A taxi business intelligence system

Y Ge, C Liu, H Xiong, J 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

XW Ai, T Hu, X Li, H Xiong
2010 Ninth International Conference on Machine Learning and Applications, 2010 (ICML)


An energy-efficient mobile recommender system

Y Ge, H Xiong, A Tuzhilin, K Xiao, M Gruteser, M 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

Y Ge, H Xiong, W Zhou, R Sahoo, X Gao, W Wu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009 (KDD)


Adapting the right measures for k-means clustering

J Wu, H Xiong, J 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

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


Volatile correlation computation: a checkpoint view

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


Enhancing semi-supervised clustering

W Tang, H Xiong, S Zhong, J Wu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007 (KDD)


The minimum consistent subset cover problem and its applications in data mining

BJ Gao, M Ester, JY Cai, O Schulte, H Xiong
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007 (KDD)


Local decomposition for rare class analysis

J Wu, H Xiong, P Wu, J Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007 (KDD)


Distributed classification in peer-to-peer networks

P Luo, H Xiong, K Lü, Z Shi
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007 (KDD)


Enhancing semi-supervised clustering: a feature projection perspective

W Tang, H Xiong, S Zhong, J Wu
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007 (KDD)


K-means clustering versus validation measures: a data distribution perspective

H Xiong, J Wu, J Chen
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006 (KDD)


Generalizing the notion of support

M Steinbach, PN Tan, H Xiong, V Kumar
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004 (KDD)


Exploiting a support-based upper bound of pearson's correlation coefficient for efficiently identifying strongly correlated pairs

H Xiong, S Shekhar, PN Tan, V Kumar
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004 (KDD)


IDR/QR: an incremental dimension reduction algorithm via QR decomposition

JY Ye, Q Li, H Xiong, H Park, R Janardan, V Kumar
Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004 (KDD)


Robust Explanations of Graph Neural Networks via Graph Curvatures

Y Liu, X Zhang, S Xie, H Xiong
The Thirty-ninth Annual Conference on Neural Information Processing Systems, 0 (NeurIPS)


Patents

Agent training method, electronic device and storage medium

Y Shi, L Zhang, H Xiong
US Patent App. 19/310,720, 2025


Deoforant ball for shoes

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


Data processing method

HAO Siyuan, L Zhang, Z Jingbo, S Zhang, C Qin, H 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

Q Sun, L Zhang, H Xiong, W Zhang, H Yu, Y Mei, W LING
US Patent App. 18/503,538, 2024


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

Y Sun, H Zhu, C Qin, P Wang, H Xiong
US Patent App. 17/945,168, 2023


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

W Zhang, L Zhang, H Liu, J Han, C Qin, H Zhu, H Xiong
US Patent App. 18/125,327, 2023


Method of training model and method of determining asset valuation

J Liu, YU Sunjie, W Zhang, H Liu, H Zhu, D Dou, H Xiong
US Patent App. 18/088,872, 2023


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

Z Liu, H Liu, H Wu, H Wang, H Xiong
US Patent App. 18/059,386, 2023


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

Y Sun, H Zhu, C Qin, F Zhuang, H Xiong
US Patent App. 18/070,775, 2023


Method and apparatus for training path representation model

Q Zhang, H Zhu, P Wang, H Liu, H Xiong
US Patent App. 17/900,649, 2022


Information processing method and device

LI Shuangli, Z Jingbo
US Patent App. 17/565,910, 2022


Method of training prediction model for determining molecular binding force

LI Shuangli, Z Jingbo
US Patent App. 17/570,416, 2022


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

LI Shuangli, Z Jingbo
US Patent App. 17/570,505, 2022


Point-of-interest recommendation

H Liu, W Zhang, D Dou, H Xiong
US Patent App. 17/531,132, 2022


Travel recommendation method, electronic device, and storage medium

H Liu, D Zhou, T Xu, H Xiong
US Patent App. 17/533,441, 2022


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

W Zhang, H Liu, D Dou, H Xiong
US Patent App. 17/445,905, 2021


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

Z Jingbo, H Xiong
US Patent App. 17/386,302, 2021


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

Z Jingbo, H Xiong
US Patent App. 17/347,418, 2021


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

W Zhang, H Liu, H Xiong
US Patent App. 17/024,421, 2021


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

LU Xinjiang, S Huang, H Xiong
US Patent App. 17/208,671, 2021


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

YY Li, J Duan, H Xiong
US Patent App. 17/022,269, 2021


Quantitative analysis method and apparatus for user decision-making behavior

LU Xinjiang, HU Renjun
US Patent App. 17/128,904, 2021


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

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


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

H Liu, J Duan, H Xiong
US Patent App. 16/880,156, 2021


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

YY Li, J Duan, H Xiong
US Patent App. 16/813,782, 2021


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

YY Li, HU Renjun, J Duan, A JIANG, H Xiong
US Patent App. 16/654,343, 2020


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

D Shen, H Zhu, C Ma, C Zhu, H Xiong
US Patent App. 16/406,893, 2019