Journal Papers

  1. Yuyang Xu, Haochao Ying*, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, and Hui Xiong. Time-aware Context-Gated Graph Attention Network for Clinical Risk Prediction, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  2. Hao Liu, Jindong Han, Yanjie Fu, Yanyan Li, Kai Chen, and Hui Xiong. Unified Route Representation Learning for Multi-Modal Transportation Recommendation with Spatiotemporal Pre-Training, VLDB Journal, 2022.
  3. Weijia Zhang, Hao Liu, Tong Xu, Fan Wang, Haoran Xin, Hua Wu, and Hui Xiong. RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  4. Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, and Hui Xiong. Towards Automatic Job Description Generation with Capability-Aware Neural Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  5. Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, and Hui Xiong. Heterogeneous Graph Representation Learning with Relation Awareness, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  6. Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, and Hui Xiong. Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  7. Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, and Hui Xiong. Graph-Grounded Goal Planning for Conversational Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  8. Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, and Hui Xiong. MANE: Organizational Network Embedding with Multiplex Attentive Neural Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022.
  9. Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu, and Hui Xiong. Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet-process-based Latent Factor Model, INFORMS Journal on Computing (IJOC), 2022.
  10. Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, and Yanjie Fu. Incremental Interactive Reinforcement Learning for Feature Selection With Deicision Tree in the Loop, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
  11. Junming Liu, Weiwei Chen, Jingyuan Yang, Hui Xiong, and Can Chen. Iterative Prediction-and-Optimization for E-logistics Distribution Network Design, INFORMS Journal on Computing (IJOC), 2021.
  12. Yue Qu, Chuanren Liu, Kai Zhang, Keli Xiao, Bo Jin, and Hui Xiong. Diagnostic Sparse Connectivity Networks with Regularization Template, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
  13. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, and Hui Xiong. Modeling the Impact of Person-Organization Fit on Talent Management with Structure-Aware Attentive Neural Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
  14. Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, and Hui Xiong. Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment, ACM Transactions on Information Systems (TOIS) 40 (1), 1-36, 2021.
  15. Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, and Hui Xiong. Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results, ACM Transactions on Information Systems (ACM TOIS), 2021.
  16. Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, and Hui Xiong. Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach, ACM Transactions on Information Systems (TOIS) 40 (4), 1-32, 2021.
  17. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qi Zhang, Qing He, and Hui Xiong. Market-oriented Job Skill Valuation with Cooperative Composition Neural Network, Nature Communications (NCOMMS), 2021.
  18. Zhou Yang, Heli Sun, Jianbin Huang, Zhongbin Sun, Hui Xiong, Shaojie Qiao, Ziyu Guan, Xiaolin Jia. An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization, IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(2): 203-217 (2020).
  19. Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, and Qing He. A Survey on Knowledge Graph-Based Recommendation Systems, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
  20. Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, and Hui Xiong. Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
  21. Tieyun Qian, Yile Liang, Qing Li, and Hui Xiong. Attribute Graph Neural Networks for Strict Cold Start Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
  22. Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, Hui Xiong, NCF: A Neural Context Fusion Approach to Raw Mobility Annotation, IEEE TRANSACTIONS ON MOBILE COMPUTING (TMC), 2020.
  23. Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie. Automatic Treatment Regimen Design, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
  24. Hao Liu, Yongxin Tong, Jindong Han, Panpan Zhang, Xinjiang Lu, and Hui Xiong, Incorporating Multi-Source Urban Data for Personalized and Context- Aware Multi-Modal Transportation Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
  25. Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, and Hui Xiong, Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
  26. Hengshu Zhu, Ying Sun, Wenjia Zhao, Fuzhen Zhuang, Baoshan Wang, Hui Xiong. Rapid Learning of Earthquake Felt Area and Intensity Distribution with Real-time Search Engine Queries, Nature Scientific Reports (NSR), 2020.
  27. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Enhong Chen, Hui Xiong An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment, ACM Transactions on Information Systems (ACM TOIS), 2020.
  28. Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo. Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach, ACM Transactions on Knowledge Discovery from Data (TKDD) 14(1): 10:1-10:27 (2020).
  29. Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong. Detecting Pickpocket Suspects from Large-Scale Public Transit Records, IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(3): 465-478 (2019).
  30. Xi Zhang, Xianhai Wang, Hongke Zhao, Patricia Ordez de Pablos, Yongqiang Sun, Hui Xiong. An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications, Scientometrics 119(3): 1311-1344 (2019).
  31. Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong. Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data, IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(3): 535-548 (2019).
  32. Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen. Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Network, IEEE Transactions on Mobile Computing (TMC), 2019.
  33. Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen. Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
  34. Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu. Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling, IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(10): 1926-1939 (2019).
  35. Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zhengyu Niu, Jia He, Qing He, Hui Xiong. Knowledge Triple Mining via Multi-Task Learning, Information Systems, 2018.
  36. Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong. Time-aware metric embedding with asymmetric projection for successive POI recommendation, World Wide Web (WWWJ), 2018.
  37. Jie Liu, Bin Liu, Yanchi Liu, Lina Feng, Huipeng Chen, Hui Xiong, Yalou Huang. Personalized Air Travel Prediction: A Multi-factor Perspective, ACM Transaction on Intelligent Systems and Technology (TIST), 2018.
  38. Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li. Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning, ACM Transactions on Management Information Systems (TMIS), 2018.
  39. Bowen Du, Wenjun Zhou, Chuanren Liu, Yifeng Cui, and Hui Xiong. Transit pattern detection using tensor factorization, INFORMS Journal on Computing (IJOC), 2018.
  40. Wenjun Zhou, Hui Xiong, Lian Duan, Keli Xiao, and Robert Mee. Paradoxical correlation pattern mining, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
  41. Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu. Intelligent Bus Routing with Heterogeneous Human Mobility Patterns, Knowledge and Information Systems (KAIS), 2017.
  42. Jingyuan Yang, Chuanren Liu, Mingfei Teng, Ji Chen, Hui Xiong. A Unified View of Social and Temporal Modeling for B2B Marketing Campaign Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017.
  43. Keli Xiao, Qi Liu, Chuanren Liu, and Hui Xiong. Price Shock Detection With an Influence-Based Model of Social Attention, ACM Transactions on Management Information Systems (TMIS), 9(1): NO. 2 (2017).
  44. Leilei Sun, Chonghui Guo, Chuanren Liu and Hui Xiong. Fast affinity propagation clustering based on incomplete similarity matrix, Knowledge and Information Systems, 51(3): 941-963 (2017).
  45. Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Xiaolin Li, Guoqing Chen. Fused latent models for assessing product return propensity in online commerce, Decision Support Systems, 91: 77-88 (2016).
  46. Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao. A Proactive Workflow Model for Healthcare Operation and Management, IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(3): 586-598 (2016).
  47. Hao Zhong, Chuanren Liu, Junwei Zhong and Hui Xiong. Which Startup to Invest in: A Personalized Portfolio Strategy, Annals of Operations Research (ANOR), pp 1-22 (2016).
  48. Bin Liu, Yao Wu, Neil Zhengqianag Gong, Junjie Wu, Hui Xiong, Martin Ester. Structural Analysis of User Choices for Mobile App Recommendation, ACM Transactions on Knowledge Discovery from Data (TKDD), 11(2): NO. 17 (2016).
  49. Yanjie Fu, Hui Xiong, Yong Ge, Yu Zheng, Zijun Yao, Zhi-Hua Zhou. Modeling of Geographical Dependencies for Real Estate Ranking, ACM Transactions on Knowledge Discovery from Data (TKDD), 11(1): NO. 11 (2016).
  50. Yanjie Fu, Hui Xiong, Xinjiang Lu, Jin Yang, Can Chen Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps, IEEE TRANSACTIONS ON MOBILE COMPUTING (TMC), 15(11): 2851-2864 (2016).
  51. Yanhong Guo, Wenjun Zhou, Chunyu Luo, Chuanren Liu, Hui Xiong. Instance-Based Credit Risk Assessment for Investment Decisions in P2P Lending, European Journal of Operational Research (EJOR), 249(2): 417-426 (2016)
  52. Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang. Temporal skeletonization on sequential data: patterns, categorization, and visualization, IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(1): 211-223 (2016)
  53. Xiuyuan Zheng, Jie Yang, Yingying Chen, Hui Xiong. An Adaptive Framework Coping with Dynamic Target Speed for Device-Free Passive Localization, IEEE Transactions on Mobile Computing (TMC), 14(6): 1138-1150 (2015)
  54. Bin Liu, Hui Xiong, Spiros Papadimitriou, Yanjie Fu, Zijun Yao. A General Geographical Probabilistic Factor Model for Point of Interest Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(5): 1167-1179 (2015).
  55. Nicholas Jing Yuan, Yu Zheng, Xing Xie, Yingzi Wang, Kai Zheng, Hui Xiong. Discovering Urban Functional ZonesUsing Latent Activity Trajectories. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(3): 712-725 (2015).
  56. Junjie Wu, Hongfu Liu, Hui Xiong, Jie Cao, Jian Chen. K-Means-Based Consensus Clustering: A Unified View. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(1): 155-169 (2015).
  57. Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen. Discovery of Ranking Fraud for Mobile Apps. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(1): 74-87 (2015).
    Datasets Available
  58. Yong Ge, Hui Xiong, Alexander Tuzhilin, and Qi Liu Cost-aware Collaborative Filtering for Travel Tour Recommendations, ACM Transactions on Information Systems (TIS), Volume 32 Issue 1, Article No.4, January 2014.
  59. Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen Popularity Modeling for Mobile Apps: A Sequential Approach IEEE Transactions on Cybernetics (TC) vol.PP, no.99, pp.1,1 (2014) .
    Datasets Available
  60. Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian Towards Personalized Context Recognition for Mobile Users: A Semi-Supervised Bayesian HMM Approach ACM Transactions on Knowledge Knowledge Discovery from Data (TKDD) 9(2): 1-29(2014)
  61. Tong Xu, Hengshu Zhu, Enhong Chen, Baoxing Huai, Hui Xiong, Jilei Tian Learning to Annotate via Social Interaction Analytics Knowledge and Information System Journal (KAIS) 41(2): 251-276 (2014).
  62. Liyang Tang, Zhiwei Ni, Hui Xiong, Hengshu Zhu Locating Targets Through Mention in Twitter World Wide Web Journal(WWWJ) (2014).
  63. Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu, A Cocktail Approach for Travel Package Recommendation, IEEE Transactions on Knowledge and Data Engineering (TKDE) 26(2): 278-293 (2014)
  64. Yong Ge, Guofei Jiang, Min Ding, Hui Xiong, Ranking Metric Anomaly in Invariant Networks,, ACM Transactions on Knowledge Discovery from Data (TKDD) 8(2): 1:30 (2014)
  65. Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian, Mobile App Classification with Enriched Contextual Information, IEEE Transactions on Mobile Computing (TMC) 13(7): 1550-1563 (2014)
  66. Hengshu Zhu, Enhong Chen, Hui Xiong, Kuifei Yu, Huanhuan Cao, Jilei Tian, Mining Mobile User Preferences for Personalized Context-Aware Recommendation, ACM Transaction on Intelligent Systems and Technology (TIST) 5(4): 1-27
  67. Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian, Ranking User Authority with Relevant Knowledge Categories for Expert Finding, World Wide Web Journal (WWWJ),2013.
  68. Jie Cao, Zhiang Wu, Junjie Wu, Hui Xiong, SAIL: Summation-bAsed Incremental Learning for Information-Theoretic Text Clustering, IEEE Transactions on Cybernetics (TC) , Vol. 43, No. 2, pp. 570-584, 2013.
  69. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, Sen Wu, Understanding and Enhancement of Internal Clustering Validation Measures, IEEE Transactions on Cybernetics (TC), Vol. 43, No. 3, pp. 982-994, 2013.
  70. Hongyan Liu, Jun He, Yingqin Gu, Hui Xiong, Xiaoyong Du, Detecting and Tracking Topics and Events from Web Search Logs, ACM Transactions on Information Systems(TOIS), Vol. 30, No. 4, 2012.
  71. Byron Gao, Martin Ester, Hui Xiong, Oliver Schulte, Jinyi Cai, The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 24, No. 2, pp. 309-325, 2012.
  72. Zhongmou Li, Hui Xiong, Yanchi Liu, Mining Blackhole and Volcano Patterns in Directed Graphs: A General Approach, Data Mining and Knowledge Discovery Journal (DMKD), pp. 577 - 602, 2012.
  73. Junjie Wu, Hui Xiong, Chen Liu, and Jian Chen. A Generalization of Distance Functions for Fuzzy c-Means Clustering, IEEE Transactions on Fuzzy Systems (TFS), Vol. 20, No. 3, pp. 557-571, 2012.
  74. Stephen France, Douglas Carroll, Hui Xiong, Distance Metrics for High Dimensional Nearest Neighborhood Recovery: Compression and Normalization, Information Sciences (IS), Vol. 184, Isse. 1, pp. 92-110, February, 2012.
  75. Aabhas Paliwal, Basit Shafiq, Jaideep Vaidya, Hui Xiong, and Nabil Adam, Semantics Based Automated Service Discovery, IEEE Transactions on Services Computing (TSC), Vol 5, No 2, pp.246-259, 2012.
  76. Junjie Wu, Shiwei Zhu, Hui Xiong, Jian Chen, and Jianming Zhu, Adapting the Right Measures for Pattern Discovery: A Unified View, IEEE Transactions on Systems, Man, and Cybernetics, Part B (TSMCB), Vol. 42, No 4, pp. 1203-1214, 2012.
  77. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong, Mining Distinction and Commonality across Multiple Domains using Generative Model for Text Classification, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 24, No. 11, pp. 2025 - 2039, November, 2012.
  78. Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding, Jian Chen, Enhancing Collaborative Filtering by User Interests Expansion via Personalized Ranking, IEEE Transactions on Systems, Man, and Cybernetics - Part B (TSMCB), Volume 42, Number 1, pp. 218-233, February, 2012.
  79. Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao, Steven J.M. Jones, On The Deep Order-Preserving Submatrix Problem: A Best-Effort Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 24, Number 1, pp. 309-325, January, 2012.
  80. Wenjun Zhou, Hui Xiong, Checkpoint Evolution for Volatile Correlation Computing, Machine Learning, Volume 83, Number 1, pp. 103 - 131, 2011.
  81. Yong Ge, Hui Xiong, Wenjun Zhou, Siming Li and Ramendra Sahoo, Multi-focal Learning for Customer Problem Analysis, ACM Transaction on Intelligent Systems and Technology (TIST), Volume 2, Issue 3, April 2011.
  82. Xiaobin Ma, Chengyang Zhang, Shashi Shekhar, Yan Huang, and Hui Xiong, On Multi-type Reverse Nearest Neighbor Search, Data & Knowledge Engineering (DKE), Volume 70, Number 11, pp. 955-983, November 2011.
  83. Enhong Chen, Yanggang Lin, Hui Xiong, Qiming Luo, and Haiping Ma, Exploiting Probabilistic Topic Models to Improve Text Categorization under Class Imbalance, Information Processing and Management, Vol. 47, No. 2, pp. 202-214, March, 2011.
  84. Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi, Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization, Statistical Analysis and Data Mining, 4(1), pp. 100 - 114, 2011.
  85. Shiwei Zhu, Junjie Wu, Hui Xiong, and Guoping Xia, Scaling up Top-K Cosine Similarity Search, Data and Knowledge Engineering (DKE), Volume 70, Number 1, January 2011.
  86. Junjie Wu, Hui Xiong, Jian Chen, COG: Local Decomposition for Rare Class Analysis, Data Mining and Knowledge Discovery Journal, Vol. 20, No. 2, pp. 191 - 220, March, 2010.
  87. Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi, Crossdomain Learning From Multiple Sources: A Consensus Regularization Perspective, IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 22, Number 12, pp. 1664-1678, 2010.
  88. Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady, Achieving Guaranteed Anonymity in GPS Traces via Uncertainty-Aware Path Cloaking, IEEE Transactions on Mobile Computing (TMC), Volume 9, Number 8, pp. 1089-1107, August 2010. (selected as the Spotlight Paper for the August 2010 issue)
  89. Junjie Wu, Hua Yuan, Hui Xiong, Guoqing Chen, Validation of overlapping clustering: A random clustering perspective Information Science, 180 (22), pp. 4353 - 4369, 2010.
  90. Cui Yu, Rui Zhang, Yaochun Huang, Hui Xiong, High-dimensional kNN joins with incremental updates, The Geoinformatica, An International Journal on Advances of Computer Science for Geographic Information Systems, Volume 14, Number 1, pp. 55 - 82, January 2010.
  91. Xing Jiang, Hui Xiong, Chen Wang, Ah-Hwee Tan, Mining Globally Distributed Frequent Subgraphs in a Single Labeled Graph, Data & Knowledge Engineering, Vol. 68, No. 10, pp. 1034-1058, 2009.
  92. Hui Xiong, Junjie Wu, Jian Chen, K-means Clustering Versus Validation Measures: A Data Distribution Perspective, IEEE Transactions on Systems, Man, and Cybernetics --- Part B (TSMCB), Vol. 39, No. 2. (2009), pp. 318-331, 2009.
  93. Junjie Wu, Hui Xiong, Jian Chen, Towards Understanding Hierarchical Clustering: A Data Distribution Perspective, Neurocomputing, 72 (10 - 12), pp. 2319 - 2330, 2009.
  94. Ping Luo, Hui Xiong, Guoxing Zhan, Junjie Wu, Zhongzhi Shi, Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 21, No. 9, pp. 1249 - 1262, September, 2009.
  95. Hua Yuan, Guoqing Chen, Junjie Wu, and Hui Xiong, Towards Controlling Virus Propagation in Information Systems with Point-to-Group Information Sharing, Decision Support Systems (DSS), Volume 48, Issue 1, December, 2009.
  96. Hui Xiong, Michael Steinbach, Arifin Ruslim, Vipin Kumar, Characterizing Pattern Preserving Clustering, the Knowledge and Information Systems (KAIS) journal, Volume 19, Issue 3, pp. 311-336, June 2009.
  97. Junjie Wu, Jian Chen, Hui Xiong, Ming Xie, External validation measures for K-means clustering: A data distribution perspective, Expert Syst. Appl, Volume 36, Issue 3, pp. 6050-6061, 2009.
  98. Dihua Guo, Hui Xiong, Vijay Atluri, Nabil Adam, Object Discovery in High-Resolution Remote Sensing Imagery: A Semantic Perspective, the Knowledge and Information Systems (KAIS) journal, Volume 19, Issue 2, pp. 211 - 233, May 2009.
  99. Hui Xiong, Wenjun Zhou, Mark Brodie, Sheng Ma, TOP-K φ Correlation Computation, INFORMS Journal on Computing (IJOC), Vol. 20, No. 4, pp. 539-552,  2008.
  100. Tianming Hu, Sam Y. Sung, Hui Xiong, Qian Fu, Discovery of Maximum Length Frequent Itemsets, Information Sciences, Vol. 178, Issue 1, pp. 69 - 87, January 2008.

  101. Tianming Hu, Chew Lim Tan, Yong Tang, Sam Yuan Sung, Hui Xiong, Chao Qu, Coclustering Bipartite with Pattern Preservation for Topic Extraction, International Journal on Artificial Intelligence Tools (IJAIT), 17(1), pp. 87-107, 2008.
  102. Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, On the Strength of Hyperclique Patterns for Text Categorization, Information Sciences, Vol. 177, Issue 19, pp. 4040-4058, 2007.
  103. Yaochun Huang, Hui Xiong, Weili Wu, Ping Deng, Zhongnan Zhang, Mining Maximal Hyperclique Pattern: A Hybrid Search Strategy, Information Sciences, Vol. 177, Issue 3, pp. 703 - 721, February, 2007.
  104. Hui Xiong, Michael Steinbach, and Vipin Kumar, Privacy Leakage in Multi-relational Databases: A Semi-supervised Learning Perspective, VLDB Journal Special Issue on Privacy Preserving Data Management, Vol. 15, No. 4, pp. 388-402, November, 2006.
  105. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, and Vipin Kumar, TAPER: A Two-Step Approach for All-strong-pairs Correlation Query in Large Databases, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 18, No. 4, pp. 493-508, April 2006.
  106. Chris Ding, Xiaofeng He, Hui Xiong, H. Peng, and Steve, R. Holbrook, Transitive closure and metric inequality of weighted graphs: detecting protein interaction modules using cliques, International Journal Data Mining and Bioinformatics, Vol. 1, No. 2, pp. 162 - 177, 2006.
  107. Hui Xiong, Pang-Ning Tan, and Vipin Kumar, Hyperclique Pattern Discovery, Data Mining and Knowledge Discovery Journal, Vol. 13, No. 2, pp. 219-242, September 2006.
  108. Hui Xiong, Gaurav Pandey, Michael Steinbach, Vipin Kumar, Enhancing Data Analysis with Noise Removal, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 18, No. 3, pp. 304-319, March 2006.
  109. Yao Liu, Sam Y. Sung, Hui Xiong, A Cubic-Wise Balance Approach for Privacy Preservation in Data Cubes, Information Sciences, Vol. 176, Issue 9, pp. 1215-1240, May 2006.
  110. Yan Huang, Jian Pei, and Hui Xiong, Mining Co-location Patterns in Spatial Data Sets with Rare Events, the GeoInformatica, An International Journal on Advances of Computer Science for Geographic Information Systems, Vol. 10, Issue 3, pp. 239 - 260, September, 2006.
  111. Sam Y. Sung, Yao Liu, Hui Xiong, Peter Ng, Privacy Preservation for Data Cubes, Knowledge and Information Systems - An International Journal (KAIS), Vol. 9, No 1, pp. 38 - 61,  January 2006.
  112. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar, IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 17, No. 9,  pp. 1208-1222, September 2005.
  113. Yan Huang, Shashi Shekhar, and Hui Xiong (Corresponding Author), Discovering Co-location Patterns from Spatial Datasets: A General Approach, IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 16, No. 12,  pp. 1472-1485, December 2004.

Conference Papers

  1. Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, and Hui Xiong. DDR: Dialogue based Doctor Recommendation for Online Medical Service. The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Data Science Track)
  2. Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, and Hui Xiong. CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Data Science Track)
  3. Zhuoning Guo, Hao Liu , Le Zhang, Qi Zhang, Hengshu Zhu, and Hui Xiong. Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Data Science Track)
  4. Liangzhe Han, Xianjian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, and Hui Xiong. Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction. The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Research Track)
  5. Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, and Hui Xiong. Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting. The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Research Track)
  6. Weijia Zhang, Hao Liu , Jindong Han, Yong Ge, and Hui Xiong. Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing. The 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2022) (Research Track)
  7. Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, and Hui Xiong. CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2022).
  8. Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, and Hui Xiong. CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction. In Proceedings of the 29th World Wide Web Conference (WWW 2022).
  9. Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, and Hui Xiong. GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)
  10. Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, and Hui Xiong. Learning to Walk with Dual Agents for Knowledge Graph Reasoning. In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)
  11. Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, and Hui Xiong. Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
  12. Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, and Hui Xiong. Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. The 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
  13. Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, and Jianhui Ma. Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Research Track)
  14. Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, and Hui Xiong. Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Research Track)
  15. Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, and Hui Xiong. Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) Research Track)
  16. Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Hui Xiong, and Yisheng Lv. Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Research Track)
  17. Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, and Weifeng Lv. Representation Learning on Knowledge Graphs for Node Importance Estimation. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Research Track)
  18. Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Zuohui Fu, Fuzhen Zhuang, Hui Xiong, and Haifeng Chen. Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Research Track)
  19. Shengming Zhang, Hao Zhong, Zixuan Yuan, and Hui Xiong. Scalable Heterogeneous Graph Neural Networks for Predicting High-potential Early-stage Startups. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Research Track)
  20. Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, and Hui Xiong. MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Applied Data Science Track)
  21. Yuan Xia, Chunyu Wang, Zhenhui Shi, Jingbo Zhou, Chao Lu, Haifeng Huang, and Hui Xiong. Medical Entity Relation Verification with Large-scale MachineReading Comprehension. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Applied Data Science Track)
  22. Qi Zhang,Hengshu Zhu,Ying Sun,Hao Liu,Fuzhen Zhuang, and Hui Xiong. Talent Demand Forecasting with Attentive Neural Sequential Model. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2021) (Applied Data Science Track)
  23. Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, and Hui Xiong. Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. In Proceedings of the 28th World Wide Web Conference (WWW 2021), Ljubljana, 2021.
  24. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, and Hui Xiong. Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. In Proceedings of the 28th World Wide Web Conference (WWW 2021), Ljubljana, 2021.
  25. Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, and Hui Xiong. Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. In Proceedings of the 28th World Wide Web Conference (WWW 2021), Ljubljana, 2021.
  26. Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, andHui Xiong. A Multi-Agent Reinforcement Learning Framework for Intelligent Electric Vehicle Charging Recommendation. In Proceedings of the 28th World Wide Web Conference (WWW 2021), Ljubljana, 2021.
  27. Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, and Hui Xiong. Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  28. Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, and Hui Xiong. Community-Aware Multi-Task Transportation Demand Prediction. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  29. Jindong Han, Hao Liu, Hengshu Zhu, Dejing Dou, and Hui Xiong. Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  30. Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, and Hui Xiong. Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  31. Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxi Li, Hui Xiong, and Wancai Zhang. Informer: Beyond Efficient Transformer for Long Sequence Timer-Series Forecasting. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21 Best Paper Award), Virtual Conference, 2021.
  32. Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, and Hui Xiong. Out-of-Town Recommendation with Travel Intention Modeling. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Virtual Conference, 2021.
  33. Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, and Hui Xiong. Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).
  34. Hao Liu, Jindong Han, Yanjie Fu, Jingbo Zhou, Xinjiang Lu, and Hui Xiong. Multi-Modal Transportation Recommendation with Unified Route Representation Learning. In Proceedings of the VLDB Endowment, Copenhagen, Denmark, 2021
  35. Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, and Qing He. A Comprehensive Survey on Transfer Learning. In Proceedings of the IEEE (PIEEE 2020)
  36. Jin Xu, Jingbo Zhou, Yongpo Jia, Jian Li, and Hui Xiong. Adaptive Master-Slave Regularized Model for Unexpected Revenue Prediction Enhanced with Alternative Data. In Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE 2020)
  37. J Hu, B Yang, C Guo, CS Jensen, and Hui Xiong. Stochastic Origin-Destination Matrix Forecasting using Dual-Stage Graph Convolutional, Recurrent Neural Networks. In Proceedings of the 36th IEEE International Conference on Data Engineering (ICDE 2020), 1417-1428
  38. Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, and Hui Xiong. Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)
  39. Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong and Weifeng Lv. Predicting Temporal Sets with Deep Neural Networks. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)
  40. Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma and Hui Xiong. Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Applied Data Science Track)
  41. Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzheng Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, and Hui Xiong. Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Applied Data Science Track)
  42. Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu and Hui Xiong. Competitive Analysis for Points of Interest. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Research Track)
  43. Kaichen Zhang, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li and Hui Xiong. Geodemographic Influence Maximization. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2020), San Diego, California, USA, 2020. (Applied Data Science Track)
  44. Hui Luo, Jingbo Zhou, Zhifeng Bao, Shuangli Li, J. Shane Culpeppe, Haochao Ying, Hao Liu, and Hui Xiong. Spatial Object Recommendation with Hints: When Spatial Granularity Matters. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), Xi'an, China, 2020.
  45. Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, and Weifeng Lv. Dual Sequential Network for Temporal Sets Prediction. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), Xi'an, China, 2020.
  46. Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, and Hui Xiong. Spatio-Temporal Dual Graph Attention Networkfor Query-POI Matching. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2020), Xi'an, China, 2020.
  47. Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, and Hui Xiong. Why We Go Where We Go：Profiling User Decision on Choosing POIs. 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, 2020.
  48. Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, and Hui Xiong. Personalized Employee Tranining Course Recommendation with Career Development Awareness. In Proceedings of the 27th World Wide Web Conference (WWW 2020), Taipei, 2020.
  49. Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, and Hui Xiong. Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. In Proceedings of 13th ACM International Conference on Web Search and Data Mining (WSDM'20), 2020.
  50. Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, and Enhong Chen. Large-Scale Talent Flow Embedding for Company Competitive Analysis. In Proceedings of the 27th World Wide Web Conference (WWW 2020), Taipei, 2020.
  51. Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, and Hui Xiong. Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York City, USA, 2020.
  52. Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, and Hui Xiong. SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York City, USA, 2020.
  53. Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, and Qing He. Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York City, USA, 2020.
  54. Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shengwen Yang, Dejing Dou, and Hui Xiong. Who will Win the Data Science Competition?, ACM Transactions on Knowledge Discovery from Data (ACM KDD), 2019.
  55. Hao Liu, Yongxin Tong, Panpan Zhang, Xinjiang Lu, Jianguo Duan and Hui Xiong. Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Applied Data Science Track)
  56. Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang and Hui Xiong. DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Applied Data Science Track)
  57. Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong and Hui Xiong. Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Applied Data Science Track)
  58. Pengyang Wang, Yanjie Fu, Xiaolin Li and Hui Xiong. Adversarial Substructured Representation Learning for Mobile User Profiling. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  59. Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang and Hui Xiong. A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  60. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He and Hui Xiong. The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  61. Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong and Yuan Jiang. Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  62. Jingbo Zhou, Shan Gou, Renjun Hu, Dongxiang Zhang, Jin Xu, Xuehui Wu, Airong Jiang and Hui Xiong. A Collaborative Learning Framework to Tag Refinement for Points of Interest. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  63. Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv and Hui Xiong. Multiple Relational Attention Network for Multi-task Learning. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2019), Anchorage, Alaska, USA, 2019. (Research Track)
  64. Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, and Hui Xiong. Exploiting the Contagious Effect for Employee Turnover Prediction. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019.
  65. Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, and Hui Xiong. Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2019). to appear.
  66. Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, and Enhong Chen. Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model. In Proceedings of the 26th World Wide Web Conference (WWW 2019), 2019.
  67. Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor Sheng, Zhiming Cui, Xiaofang Zhou, and Hui Xiong. Recurrent Convolutional Neural Network for Sequential Recommendation. In Proceedings of the 26th World Wide Web Conference (WWW 2019), 2019.
  68. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, and Hui Xiong. Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2018), Ann Arbor, MI, USA, 2018.
  69. Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, and Hui Xiong. Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  70. Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, and Hui Xiong. Representing Urban Functions through Zone Embedding with Human Mobility Patterns. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  71. Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, and Sanglu Lu. Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  72. Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, and Hui Xiong. A Joint Learning Approach to Intelligent Job Interview Assessment. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  73. Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, and Jian Wu. Sequential Recommender System based on Hierarchical Attention Networks. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden, July 13-19, 2018.
  74. Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, and Hui Xiong. Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI'18), Orleans, LA, USA, 2018.
  75. Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, and Hui Xiong. Dynamic Word Embeddings for Evolving Semantic Discovery. In Proceedings of 11th ACM International Conference on Web Search and Data Mining (WSDM'18), 2018.
  76. Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric Xing and Jieping Ye. Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  77. Hao Wang, Yanmei Fu, Qinyong Wang, Changying Du, Hongzhi Yin and Hui Xiong. A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Mobile Users. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  78. Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu and Hui Xiong. Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  79. Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun and Hui Xiong. Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  80. Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong. Point of Interest Demand Modeling with Human Mobility Patterns. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  81. Sen Yang, Xin Dong, Leilei Sun, Yichen Zhou, Richard A. Farneth, Hui Xiong, Randall S. Burd, Ivan Marsic. A Data-driven Process Recommender Framework. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  82. Yanjie Fu, Charu Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, and Hui Xiong. REMIX: Automated Exploration for Interactive Outlier Detection. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  83. Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong and Hongke Zhao. Prospecting the Career Development of Talents: A Survival Analysis Perspective. The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017), Halifax, Nova Scotia, Canada, 2017.
  84. Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S.Sheng, Kai Zheng, and Hui Xiong. Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. In Proceedings of 25th ACM International Conference on Multimedia (ACM MM’17), Mountain View, CA, USA, 2017.
  85. Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, and Hui Xiong. Exploiting Hierarchical Structures for POI Recommendation. In Proceedings of the 16th IEEE Conference on Data Mining (ICDM’17), Orleans, LA, USA, 2017.
  86. Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun and Hui Xiong. Learning to Recommend Accurate and Diverse Items. In Proceedings of the 26th World Wide Web Conference (WWW-17), 2016.
  87. Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu and Hui Xiong. Collaborative Company Profiling: Insights from an Employee’s Perspective. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), 2017.
  88. J Yang, C Liu, M Teng, M Liao, and Hui Xiong. Buyer targeting optimization: A unified customer segmentation perspective. In Proceedings of the IEEE International Conference on Big Data 2016, 2016.
  89. Xinjiang Lu, Zhiwen Yu, Leilei Sun, Chuanren Liu, Hui Xiong and Chu Guan. Characterizing the life cycle of point of interests using human mobility patterns. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), 2016.
  90. Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, and Hui Xiong. POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. In Proceedings of the 16th IEEE Conference on Data Mining (ICDM 2016), 2016.
  91. Yanjie Fu, Junming Liu, Xiaolin Li, Xinjiang Lu, Jingci Ming, Hui Xiong and Chu Guan. Service Usage Analysis in Mobile Messaging Apps: A Multi-Label Multi-View Perspective. In Proceedings of the 16th IEEE Conference on Data Mining (ICDM 2016), 2016.
  92. Hao Zhong, Chuanren Liu, Xinjiang Lu and Hui Xiong. TO BE OR NOT TO BE FRIENDS: Exploiting Prominent Social Ties for Startup Investment. In Proceedings of the 16th IEEE Conference on Data Mining (ICDM 2016), 2016.
  93. Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong. Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  94. Huang Xu, Jingyuan Yang, Zhiwen Yu, Hui Xiong, Hengshu Zhu. Talent Circle Detection in Job Transition Networks. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016..
  95. Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie. Trend Analysis of Recruitment Market with Sequential Latent Variable Model. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  96. Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie. Data-driven Automatic Treatment Regimen Development and Recommendation. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  97. Bowen Du, Chuanren Liu, Wenjun Zhou, Hui Xiong. Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit Records. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016..
  98. Yuan Zuo, Junjie Wu, Has Lin, Hui Xiong. Pseudo-Document-based Topic Modeling of Short Texts without Auxiliary Information. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016..
  99. Yanchi Liu, Chuanren Liu, Bin Liu,Meng Qu, Hui Xiong. Unified Point-of-Interest Recommendation with Temporal Interval Assessment. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  100. Junming Liu, Leilei Sun, Hui Xiong, Weiwei Chen. Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  101. Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu. Days on Markets: Measuring the Liquidity of Real Estate Markets. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
  102. Defu Lian, Yong Ge, Nicholas Yuan, Xing Xie, Hui Xiong. Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016.
  103. Zijun Yao, Yanjie Fu, Bin Liu, Hui Xiong. The Impact of Community Safety on House Ranking. In Proceedings of 2016 SIAM International Conference on Data Mining (SDM 2016), 2016.
  104. Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu. Exploring the Impact of Dynamic Mutual Influence on Social Event Participation. In Proceedings of 2015 SIAM International Conference on Data Mining (SDM-15), 2015.,
  105. Chu Guan, Xinjiang Lu, Xiaolin Li, Enhong Chen, Wenjun Zhou, Hui Xiong. Discovery of College Students in Financial Hardship. In Proceedings of the 15th IEEE Conference on Data Mining (ICDM 2015), 2015.,
  106. Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie. Mining Indecisiveness in Customer Behaviors. In Proceedings of the 15th IEEE Conference on Data Mining (ICDM 2015), 2015.
  107. Constantine Alexander Vitt, Hui Xiong. The Impact of Patent Activities on Stock Dynamics in the High-Tech Sector. In Proceedings of the 15th IEEE Conference on Data Mining (ICDM 2015), 2015.
  108. Jingyuan Yang, Chuanren Liu, Mingfei Teng, Hui Xiong, March Liao, Vivian Zhu. Exploiting Temporal and Social Factors for B2B Marketing Campaign Recommendations. In Proceedings of the 15th IEEE Conference on Data Mining (ICDM 2015), 2015.
  109. Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, Jingyuan Yang, Hui Xiong, Hao Zhong, Yanjie Fu. Station Site Optimization in Bike Sharing Systems. In Proceedings of the 15th IEEE Conference on Data Mining (ICDM 2015), 2015.
  110. Huang Xu, Zhiwen Yu, Hui Xiong, Bin Guo, Hengshu Zhu. Learning Career Mobility and Human Activity Patterns for Job Change Analysis. In Proceedings of the 15th IEEE Conference on Data Mining (ICDM 2015), 2015.
  111. Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He. Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. In Proceedings of the 15th IEEE Conference on Data Mining (ICDM 2015), 2015.
  112. Chuanren Liu, Fei Wang, Jianying Hu and Hui Xiong. Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based Framework. The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), 2015.
  113. Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu. Real Estate Ranking via Mixed Land-use Latent Models. The 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), 2015.
  114. Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, and Hui Xiong. Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference, In Proceedings of the Eighth International Conference on Web Search and Data Mining (WSDM 2015), (Full Paper, 16.4% acceptance), 2015.
  115. Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen. Mobile App Recommendation with Security and Privacy Awareness. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  116. Yanjie Fu, Hui Xiong, Yong Ge, Zijun Yao, Yu Zheng, Zhihua Zhou. Exploiting Geographic Dependencies for Real Estate Appraisal: A Mutual Perspective of Ranking and Clustering. The 20th SIGKDD conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  117. Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong. A Cost-Effective Recommender System for Taxi Drivers. 2014 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  118. Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang. Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  119. Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins. Proactive Workflow Modeling by Stochastic Processes with Application to Healthcare Operation and Management. The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), 2014.
  120. Yanjie Fu, Yong Ge, Zijun Yao, Yu Zheng, Yanchi Liu, Hui Xiong. Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM 2014), Shenzhen, China, 2014.
  121. Yanchi Liu, Chuanren Liu, Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong. Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM 2014), Shenzhen, China, 2014.
  122. Bo Jin, Yong Ge, Hengshu Zhu, Guo Li, Hui Xiong, Chao Zhang Technology Prospecting for High Tech Companies through Patent Mining. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM 2014), Shenzhen, China, 2014.
  123. Liang Wu, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li, Hui Xiong. Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM 2014), Shenzhen, China, 2014.
  124. Guannan Liu, Yanjie Fu, Tong Xu, Hui Xiong, Guoqing Chen. Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM 2014), Shenzhen, China, 2014.
  125. Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong. Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. In Proceedings of the 14th IEEE Conference on Data Mining (ICDM 2014), Shenzhen, China, 2014.
  126. Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan. Predicting the Popularity of Online Serials with Autoregressive Models. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014). to appear.
  127. Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu. Influence Maximization over Large-Scale Social Networks: A Linear Approach with Bound. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014). to appear.
  128. Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He Multi-task Multi-view Learning for Heterogeneous Tasks. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014).
  129. Yanjie Fu, Bin Liu, Yong Ge, Zijun Yao, Hui Xiong. User Preference Learning With Multiple Information Fusion For Restaurant Recommendation. Proceedings of 2014 SIAM International Conference on Data Mining (SDM 2014), Accepted, 2014.
  130. Bin Liu, Yanjie Fu, Zijun Yao, Hui Xiong. Learning Geographical Preferences for Point-of-Interest Recommendation. In Proceedings of 2013 ACM SIGKDD International Conference on Knoweldge Discovery and Data Mining (KDD 2013). to Appear, 2013.
  131. Junjie Wu, Hongfu Liu, Hui Xiong. A Theoretic Framework of K-means-based Consensus Clustering. In Proceedings of 23rd Internationa Joint Conference on Artificial Intelligence (JICAI 2013), Oral Presentation, 2013.
  132. Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, PageRank with Priori: An Influence Propagation Perspective. In Proceedings of 23rd Internationa Joint Conference on Artificial Intelligence (IJCAI 2013), Oral Presentation, 2013.
  133. Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen. Ranking Fraud Detection for Mobile Apps: A Holistic View. Proceedings of the 22nd ACM Conference on Information and Knowledge Management (CIKM 2013)) to Appear, 2013.
  134. Bin Liu, Hui Xiong. Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness. In Proceedings of 2013 SIAM International Conference on Data Mining (SDM 2013) to Appear, 2013.
  135. Ruilin Liu, Hui (Wendy) Wang, Philippos Mordohai, Hui Xiong. Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers. In Proceedings of 2013 SIAM International Conference on Data Mining (SDM 2013). to Appear, 2013.
  136. Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins. A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location Traces. In Proceedings of the 12th IEEE Conference on Data Mining (ICDM 2012), to appear, 2012.
  137. Hengshu Zhu, Kuifei Yu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. Mining Personal Context-Aware Preferences for Mobile Users. In Proceedings of the 12th IEEE Conference on Data Mining (ICDM 2012), to appear, 2012.
  138. Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. Exploiting Enriched Contextual Information for Mobile App Classification. In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012), Hawaii, USA, pp. 1617 - 1621, 2012
  139. Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong. Which Distance Metric is Right: An Evolutionary K-Means View. In Proceedings of the 2012 SIAM International Conference on Data Mining (SDM 2012). pp. 907 - 918, 2012.
  140. Xueying Li, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. BP-Growth: Searching Strategies for Efficient Behavior Pattern Mining. the 13th IEEE International Conference on Mobile Data Management (MDM 2012). pp. 238 - 247, 2012.
  141. Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen, Cost-aware Travel Tour Recommendation, the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), to appear, 2011.
  142. Chunyu Luo, Hui Xiong, Wenjun Zhou, Yanhong Guo, Guishi Deng, Enhancing Investment Decision in P2P Lending: An Investor Composition Perspective, the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), pp. 292 - 300, 2011.
  143. Yong Ge, Hui Xiong, Chuanren Liu, and Zhi-Hua Zhou, A Taxi Driving Fraud Detection System, the 11th IEEE International Conference on Data Mining (ICDM 2011) (ICDM 2011), 181-190, 2011.
  144. Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong, Personalized Travel Package Recommendation, the 11th IEEE International Conference on Data Mining (ICDM 2011) (ICDM 2011), pp. 407-416, 2011. (ICDM Best Research Paper Award).
  145. Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu. Collaborative Filtering with Collective Training, the 5th ACM International Conference on Recommender Systems, pp. 281 - 284, Chicago, US, October, 2011.
  146. Hengshu Zhu, Huanhuan Cao, Hui Xiong, Enhong Chen, Jilei Tian, Towards Expert Finding by Leveraging Relevant Categories in Authority Ranking, The 20th ACM Conference on Information and Knowledge Management (CIKM 11), pp. 2221 - 2224, Glasgow, 2011.
  147. Yong Ge, Hui Xiong, Alexander Tuzhilin, Keli Xiao, Marco Gruteser,Michael J. Pazzani, An Energy-Efficient Mobile Recommender System , the 16th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2010), pp. 899 - 908, 2010. (Accepted for full presentation).
  148. Yong Ge, Hui Xiong, Zhi-Hua Zhou, Hasan Ozdemir, Jannite Yu, and K.C. Lee, TOP-EYE: Top-k Evolving Trajectory Outlier Detection, the 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp 1733-1736, 2010.
  149. Zhongmou Li, Hui Xiong , Yanchi Liu, Aoying Zhou, Detecting Blackholes and Volcanoes in Directed Networks, the 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 294 - 303, 2010.
  150. Tengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, and Hui Xiong, An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users, the 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 38 - 47, 2010.
  151. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, and Junjie Wu, Understanding of Internal Clustering Validation Measures, the 10th IEEE International Conference on Data Mining (ICDM 2010), pp. 911 - 916, 2010.
  152. Qi liu, Enhong Chen, Hui Xiong and Chris Ding, Exploiting User Interests for Collaborative Filtering: Interests Expansion via Personalized Ranking, the 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp. 1697 - 1700, 2010.
  153. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong, Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification, the 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp. 359-368, 2010.
  154. Wenjun Zhou, Hui Xiong, Yong Ge, Jannite Yu, Hasan Ozdemir, and K.C.Lee, Direction Clustering for Characterizing Movement Patterns, the 2010 IEEE International Conference on Information Reuse and Integration (IRI'10), to appear, 2010.
  155. Jie Yang, Yong Ge, Hui Xiong, Yingying Chen, and Hongbo Liu, Performing Joint Learning for Passive Intrusion Detection in Pervasive Wireless Environments, the 29th IEEE Conference on Computer Communications, (IEEE INFOCOM 2010), pp. 767-775, 2010.
  156. Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi, Exploiting Associations between Word Clusters and Document Classes for Cross-domain Text Categorization, SIAM International Conf. on Data Mining, (SDM 2010), pp. 13 - 24, 2010.
  157. Junjie Wu, Hui Xiong, Jian Chen, Adapting the Right Measures for K-means Clustering, the 15th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2009), pp. 877 - 886, 2009. (Accepted for Regular Presentation).
  158. Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra Sahoo, Xiaofeng Gao, Weili Wu, Multi-focal Learning and Its Application to Customer Service Support, the 15th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2009), pp. 349 - 358, 2009. (Accepted for Regular Presentation).
  159. Wenjun Zhou, Hui Xiong, Efficient Discovery of Confounders in Large Data Sets, the 2009 IEEE International Conference on Data Mining, (ICDM 2009), 2009. (Accepted as a Regular Paper)
  160. Xiaobin Ma, Shashi Shekhar, Hui Xiong, Multi-Type Nearest Neighbor Queries On Spatial-Temproal Road Networks With Time Window Constraints, ACM-GIS 2009 International Symposium on Advances in Geographic Information Systems, (ACM GIS 2009), pp. 484 - 487, 2009.
  161. Huanhuan Cao, Enhong Chen, Jie Yang, Hui Xiong, Enhancing Recommender Systems Under Volatile User Interest Drifts, the 18th ACM Conference on information and Knowledge Management, (CIKM 2009), pp 1257 - 1266,, 2009.
  162. Tieyun Qian, Qing Li, Liu Bing, Hui Xiong, Jaideep Srivastava, What's Behind Topic Formation and Development: A Perspective of Community Core Groups, the 18th ACM Conference on information and Knowledge Management, (CIKM 2009), 1843 - 1846, 2009.
  163. Wenjun Zhou, Hui Xiong, Volatile Correlation Computation: A Checkpoint View, the 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2008), pp. 848 - 856. (Best Student Paper Award Runner-Up).
  164. Junjie Wu, Hui Xiong, Jian Chen, SAIL: Summation-based Incremental Learning for Information-Theoretic Clustering, the 14th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2008), pp. 740 - 748, 2008.
  165. Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He, Transfer Learning From Multiple Source Domains via Consensus Regularization, ACM 17th Conference on information and Knowledge Management, (ACM CIKM 2008), pp. 103 - 112, 2008.
  166. Nabil R. Adam, Vijay Atluri, Soon Ae Chun, John Ellenberger, Basit Shafiq, Jaideep Vaidya, Hui Xiong, Secure information sharing and analysis for effective emergency management, DG.O 2008, pp. 407-408, 2008
  167. Tianming Hu, Hui Xiong, Wenjun Zhou, Sam Yuan Sung, Hangzai Luo, Hypergraph Partitioning for Document Clustering: A Unified Clique Perspective, In the 31st Annual International ACM SIGIR Conference, (SIGIR 2008), pp. 871-872, 2008
  168. Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong, Adaptive Label-Driven Scaling for Latent Semantic Indexing, In the 31st Annual International ACM SIGIR Conference, (SIGIR 2008), pp. 827-828, 2008.
  169. Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren, Genetic-Guided Semi-Supervised Clustering Algorithm with Instance-Level Constraints, in Proceedings of the Genetic and Evolutionary Computation Conference, (GECCO 2008), 2008, to appear.
  170. Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren, Data clustering Using Virtual Population based Incremental Learning Algorithm with Similarity Matrix Encoding Strategy, in Proceedings of the Genetic and Evolutionary Computation Conference, (GECCO 2008), 2008, to appear.
  171. Tianming Hu, Hui Xiong, Xueqing Gong, and Sam Yuan Sung, ANEMI: An Adaptive Neighborhood Expectation-Maximization Algorithm with Spatial Augmented Initialization, in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2008), pp. 160 - 171, 2008.
  172. Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou, A Generalization of Proximity Functions for K-means, the 2007 IEEE International Conference on Data Mining, (ICDM 2007), pp. 361 - 370, 2007.
  173. Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra Sahoo, Failure Prediction in IBM BlueGene/L Event Logs, the 2007 IEEE International Conference on Data Mining, (ICDM 2007), pp. 583 - 588, 2007.
  174. Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady, Preserving Privacy in GPS Traces via Uncertainty-Aware Path Cloaking, the 14th ACM Conference on Computer and Communication Security, (ACM CCS 2007), pp. 161 - 171, 2007.
  175. Ping Luo, Hui Xiong, Kevin Lu, Zhongzhi Shi, Distributed Classification in Peer-to-Peer Networks, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2007), pp. 968 - 976, 2007.
  176. Junjie Wu, Hui Xiong, Wu Peng, Jian Chen, Local Decomposition for Rare Class Analysis, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2007), pp. 814 - 823, 2007.
  177. Wei Tang, Hui Xiong, Shi Zhong, Jie Wu, Enhancing Semi-Supervised Clustering: A Feature Projection Perspective, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2007), pp. 707 - 716, 2007.
  178. Byron Gao, Martin Ester, Jinyi Cai, Oliver Schulte, and Hui Xiong, the Minimum Consistent Subset Cover Problem and its Applications in Data Mining, the 13th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2007), pp. 310 - 319,  2007.
  179. Tianming Hu, Hui Xiong, Sam Y. Sung, Co-Preserving Patterns in Bipartite Partitioning for Topic Identification, in Proceedings of the Seventh SIAM International Conference on Data Mining, (SDM 2007), pp. 509 - 514, 2007.
  180. Michael Steinbach, Pang-Ning Tan, Hui Xiong, and Vipin Kumar, Objective Measures for Association Pattern Analysis, Proceedings of the Joint Summer Research Conference on Machine and Statistical Learning: Prediction and Discovery, AMS Contemporary Mathematics (CONM) book series, 2007.
  181. Dihua Guo, Hui Xiong, Vijay Atluri, Nabil Adam, Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery, in Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2007), pp. 71 - 83, 2007.
  182. Hui Xiong, Mark Brodie, Sheng Ma, TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases, the 2006 IEEE International Conference on Data Mining, (ICDM 2006), pp. 1162-1166, 2006.
  183. Hui Xiong, Junjie Wu, Jian Chen, K-means Clustering versus Validation Measures: A Data Distribution Perspective, the 12th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2006), pp. 779-784, 2006.
  184. Aabhas Paliwal, Nabil Adam, and Hui Xiong, Web Service Discovery via Semantic Association Ranking and Hyperclique Pattern Discovery, the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, (WI 2006), pp. 649-652, 2006.
  185. Xiaobin Ma, Shashi Shekhar, Hui Xiong, Pusheng Zhang, Exploiting Page-Level Upper Bound for Multi-Type Nearest Neighbor Queries, ACM-GIS 2006 International Symposium on Advances in Geographic Information Systems, (ACM GIS 2006), pp. 179-186, 2006.
  186. Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, Adapting Association Patterns for Text Categorization: Weakness and enhancements, ACM Conference on information and Knowledge Management, (ACM CIKM 2006), pp. 782-783, 2006.
  187. Yaochun Huang, Hui Xiong, Weili Wu, Sam, Y. Sung, Mining Quantitative Maximal Hyperclique Patterns: A Summary of Results, Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2006), pp. 552-556, 2006.
  188. Gyorgy Simon, Hui Xiong, Eric Eilertson, and Vipin Kumar, Scan Detection: A Data Mining Approach, SIAM International Conf. on Data Mining, (SDM 2006), pp. 118-129, (Acceptance rate = 16%), 2006.
  189. Hui Xiong, Michael Steinbach, and Vipin Kumar, Privacy Leakage in Multi-relational Databases via Pattern based Semi-supervised Learning, in Proc. of the ACM Conference on information and Knowledge Management, (ACM CIKM 2005), pp. 355-356, Bremen, Germany, 2005.
  190. Hui Xiong, X. He, Chris Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook, Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery, in Proc. of the Pacific Symposium on Biocomputing, (PSB 2005), pp. 221-232, 2005.
  191. Yaochun Huang, Hui Xiong, Weili Wu, and Zhongnan Zhang, A Hybrid Approach for Mining Maximal Hyperclique Patterns, in Proc. of the 16th IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI), pp. 354-361,2004.
  192. Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar, Generalizing the Notion of Support, in Proc. of the Tenth ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2004), pp. 689 - 694, Seattle, USA, 2004.
  193. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar, IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition, in Proc. of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD 2004), pp. 364 - 373, Seattle, USA, 2004 (Acceptance rate = 40/337=12%).
  194. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, and Vipin Kumar, Exploiting a Support-based Upper Bound of Pearson's Correlation Coefficient for Efficiently Identifying Strongly Correlated Pairs, in Proc. of the Tenth ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining, (KDD 2004), pp. 334 - 343, Seattle, USA, 2004. (Acceptance Rate=40/337=12%).
  195. Hui Xiong, Michael Steinbach, Pang-Ning Tan, and Vipin Kumar, HICAP: Hierarchical Clustering with Pattern Preservation, in Proc. 2004 SIAM International Conf. on Data Mining, (SDM 2004), pp. 279 - 290, Florida, USA, 2004.
  196. Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, X. Ma, J. Yoo, A Framework for Discovering Co-location Patterns in Data Sets with Extended Spatial Objects, in Proc. 2004 SIAM Int'l Conf. on Data Mining, (SDM 2004), pp. 78 - 89, Florida, USA, 2004.
  197. Yao Liu, Sam Y. Sung, Hui Xiong, Peter Ng, Data Declustering with Replication, in Proc. of the 9th International Conference on Database Systems for Advanced Applications (DASFAA 2004), pp. 682 - 693, Korea, 2004.
  198. Hui Xiong, Pang-Ning Tan, and Vipin Kumar, Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution, In Proc. of the Third IEEE International Conference on Data Mining, (ICDM 2003), pp. 387-394, Melbourne, Florida, USA, 2003. (Acceptance Rate = 58/501 = 12%). (Also in Technical Report TR-03-006 Mining Hyperclique Patterns with Confidence Pruning, January 2003).
  199. Jinmei Xu, Hui Xiong, Sam Y. Sung, and Vipin Kumar, A New Clustering  Algorithm for Transaction Data Via Caucus, in Proc. 2003 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2003), pp. 551-562, Korea 2003.
  200. Yan Huang, Hui Xiong, Shashi Shekhar, and Jian Pei, Mining Confident Co-location Rules without A Support Threshold, in Proc. 2003 ACM Symposium on Applied Computing (ACM SAC 2003), pp. 497-501, Melbourne, FL, March 2003.
  201. Hui Xiong, Sam Y. Sung, and S. Huang, Adapting the Right Web Pages to the Right Users, In Proc. of the First SPIE International Conference on Data Mining and Knowledge Discovery, USA, 2000.

Magazine Articles

  1. Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady. Enhancing Security and Privacy in Traffic-Monitoring Systems, IEEE Pervasive Computing, Vol. 5, No. 4, pp. 38-46, Oct-Dec, 2006.
  2. Xiaojun Quan, Hui Xiong, Wenyu Dou, Liu Wenyin, Yong Ge. Link Graph Analysis for Business Site Selection, IEEE Computer, accepted, 2011.

Workshop Papers

  1. Yinglung Liang, Yanyong Zhang, Hui Xiong, and Ramendra K. Sahoo. An adaptive semantic filter for blue gene/l failure log analysis. In Proceedings of the Workshop on System Management Techniques, Processes and Services (SMTPS) in conjunction with the Twenty-first International Parallel and Distributed Processing Symposium (IPDPS 2007), pages 1 - 8, Long Beach, California, USA, March 26-30, 2007. IEEE.

Demo Papers

  1. Yong Ge, Chuanren Liu, Hui Xiong, A Taxi Business Intelligence System, the 17th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining (KDD 2011), to appear,2011.