Publications

Journal ArticlesInproceedingsWorkshops
  1. Peng Zhang, Chuanren Liu (Corresponding Author), Kefeng Ning, Wenxiang Zhu, Yu Zhang. Prediction and Profiling of Audience Competition for Online Television SeriesACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020. 
  2. Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv. Predicting Temporal Sets with Deep Neural NetworksACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020. 
  3. Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma,Hui Xiong. Why We Go Where We Go: Profiling User Decisions on Choosing POIsInternational Joint Conference on Artificial Intelligence (IJCAI), 2020. 
  4. Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv. Dual Sequential Network for Temporal Sets PredictionACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020. 
  5. Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu. Adaptive Quantitative Trading: an Imitative Deep Reinforcement Learning ApproachAAAI Conference on Artificial Intelligence, 2020. 
  6. Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie. Automatic Treatment Regimen DesignIEEE Transactions on Knowledge and Data Engineering, January 2020. 
  7. Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo. Inferring Life-time Status of Point-of-Interest: A Multitask Multiclass ApproachACM Transactions on Knowledge Discovery from Data, 14(1):Article 10, January 2020. 
  8. Zhen Fang, Yang Li, Chuanren Liu (Corresponding Author), Wenxiang Zhu, Yu Zhang, Wenjun Zhou. Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time PacingIEEE International Conference on Data Mining (ICDM), 2019. 
  9. Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang. Exploiting Cognitive Structure for Adaptive Learning Recommender SystemsACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2019. 
  10. Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong. Detecting Pickpocket Suspects from Large-Scale Public Transit RecordsIEEE Transactions on Knowledge and Data Engineering, March 2019. 
  11. Bowen Du, Wenjun Zhou, Chuanren Liu, Yifeng Cui, Hui Xiong. Transit Pattern Detection Using Tensor Factorization INFORMS Journal on Computing, February 2019. 
  12. Jin Fang, Chuanren Liu, Yi Zhu. Sequence Clustering with Temporal Graph and Sequence RecoveryThe 2018 INFORMS Workshop on Data Science, November 2018. 
  13. Yuyue Chen, Chuanren Liu. Aggregation and Disaggregation of Information: A Holistic ViewDoctoral Student Forum in the 2017 IEEE International Conference on Data Mining, November 2017. 
  14. Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong. Exploiting the Contagious Effect for Employee Turnover PredictionAAAI Conference on Artificial Intelligence, 2019. 
  15. Sun, Leilei and Jin, Bo and Yang, Haoyu and Tong, Jianing and Liu, Chuanren and Xiong, Hui. Unsupervised EEG feature extraction based on echo state networkInformation Sciences, February 2019. 
  16. Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen. Product Supply Optimization for Crowdfunding CampaignsIEEE Transactions on Big Data, December 2018. 
  17. Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin. CADEN: A Context-Aware Deep Embedding Network for Financial Opinions MiningIEEE International Conference on Data Mining (ICDM), 2018. 
  18. Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu. Finding Similar Exercises in Online Education SystemsACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 1821-1830, 2018. 
  19. Bo Jin, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong. A Treatment Engine by Predicting Next-Period PrescriptionsACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 1608-1616, 2018. 
  20. Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du. Patent Litigation Prediction: A Convolutional Tensor Factorization ApproachInternational Joint Conference on Artificial Intelligence (IJCAI), 2018. 
  21. Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang. Confidence-aware Matrix Factorization for Recommender SystemsAAAI Conference on Artificial Intelligence (AAAI), 2018. 
  22. Chen Chu, Zhao Li, Beibei Xin, Fengchao Peng, Chuanren Liu, Remo Rohs, Qiong Luo, Jingren Zhou. Deep Graph Embedding for Ranking Optimization in E-commerceACM International Conference on Information and Knowledge Management (CIKM), 2018. 
  23. Jingyuan Yang, Chuanren Liu, Mingfei Teng, Ji Chen, Hui Xiong. A Unified View of Social and Temporal Modeling for B2B Marketing Campaign RecommendationIEEE Transactions on Knowledge and Data Engineering, May 2018. 
  24. Hao Zhong, Chuanren Liu (Corresponding Author), Junwei Zhong, Hui Xiong. Which Startup to Invest in: A Personalized Portfolio StrategyAnnals of Operations Research, April 2018. 
  25. Keli Xiao, Qi Liu, Chuanren Liu, Hui Xiong. Price shock detection with an influence-based model of social attentionACM Transactions on Management Information Systems, October 2017. 
  26. Kai Zhang, Chuanren Liu, Jie Zhang, Hui Xiong, Eric Xing, Jieping Ye. Randomization or Condensation? Linear-Cost Matrix Sketching Via Cascaded Compression SamplingACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 615-623, 2017. 
  27. Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong. Point-of-Interest Demand Modeling with Human Mobility PatternsACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 947-955, 2017. 
  28. Chuanren Liu, Hui Xiong, Spiros Papadimitriou, Yong Ge, Keli Xiao. A Proactive Workflow Model for Healthcare Operation and ManagementIEEE Transactions on Knowledge and Data Engineering, Nov 2016. 
  29. Leilei Sun, Chonghui Guo, Chuanren Liu, Hui Xiong. Fast Affinity Propagation Clustering based on Incomplete Similarity MatrixKnowledge and Information Systems, Aug 2016. 
  30. Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong. Unified Point-of-Interest Recommendation with Temporal Interval AssessmentACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Research Track:1015-1024, 2016. 
  31. Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie. Data-driven Automatic Treatment Regimen Development and RecommendationACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Research Track:1865-1874, 2016. 
  32. Bowen Du, Chuanren Liu, Wenjun Zhou, Zhenshan Hou, Hui Xiong. Catch Me If You Can: Detecting Pickpocket Suspects from Large-Scale Transit RecordsACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Applied Data Science Track:87-96, 2016. 
  33. Yanhong Guo, Wenjun Zhou, Chunyu Luo, Chuanren Liu, Hui Xiong. Instance-Based Credit Risk Assessment for Investment Decisions in P2P LendingEuropean Journal of Operational Research, 249(2):417-426, March 2016. 
  34. Yanchi Liu; Chuanren Liu; Nicholas Jing Yuan; Lian Duan; Yanjie Fu; Hui Xiong; Songhua Xu; Junjie Wu. Intelligent Bus Routing with Heterogeneous Human Mobility PatternsKnowledge and Information Systems, Feb 2016. 
  35. Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang. Temporal Skeletonization on Sequential Data: Patterns, Categorization, and VisualizationIEEE Transactions on Knowledge and Data Engineering, 28(1):211-223, Jan 2016. 
  36. Jingyuan Yang, Chuanren Liu, Mingfei Teng, Hui Xiong. Exploiting Temporal and Social Factors for B2B Marketing Campaign RecommendationsIEEE International Conference on Data Mining (ICDM), Regular paper:499 - 508, 2015. 
  37. Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie. Mining Indecisiveness in Customer BehaviorsThe 15th IEEE International Conference on Data Mining (ICDM 2015), Regular paper:705-714, 2015. 
  38. Chuanren Liu, Fei Wang, Jianying Hu, Hui Xiong. Temporal Phenotyping from Longitudinal Electronic Health Records: A Graph Based FrameworkThe 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), Research track:705-714, 2015. 
  39. Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen. Popularity Modeling for Mobile Apps: A Sequential ApproachIEEE Transactions on Cybernetics, 45(7):1303-1314, July 2015. 
  40. Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang. Temporal Skeletonization on Sequential Data: Patterns, Categorization, and VisualizationThe 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), Research track:1336-1345, 2014. Demo 
  41. Chuanren Liu, Yong Ge, Hui Xiong, Keli Xiao, Wei Geng, Matt Perkins. Proactive Workflow Modeling by Stochastic Processes with Application to Healthcare Operation and ManagementThe 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2014), Industry track:1593-1602, 2014. 
  42. Tianming Hu, Chuanren Liu (Corresponding Author), Jing Sun, Hui Xiong, Sam Yuan Sung, Peter A. Ng. High Dimensional Clustering: A Clique Based Hypergraph Partitioning FrameworkKnowledge and Information Systems, 39(1):61-88, April 2014. 
  43. Chuanren Liu, Tianming Hu, Yong Ge, Hui Xiong. Finding Well-Clusterable Subspaces for High Dimensional Data: A Numerical One-Dimension ApproachThe 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), 311-323, 2014. 
  44. Qi Liu, Zheng Dong, Chuanren Liu, Enhong Chen, Xing Xie. Social Marketing Meets Targeted Cus- tomers: A Typical User Selection and Coverage PerspectiveThe 14th IEEE International Conference on Data Mining (ICDM 2014), 350-359, 2014. 
  45. Yanchi Liu, Chuanren Liu, Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong. Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus RoutingThe 14th IEEE International Conference on Data Mining (ICDM 2014), 360-369, 2014. 
  46. Chuanren Liu, Jianjun Xie, Yong Ge, Hui Xiong. Stochastic Unsupervised Learning on Unlabeled DataJournal of Machine Learning Research, W&CP(27):111-122, 2012. 
  47. Chuanren Liu, Hui Xiong, Yong Ge, Wei Geng, Matt Perkins. A Stochastic Model for Context-Aware Anomaly Detection in Indoor Location TracesThe 12th IEEE International Conference on Data Mining (ICDM 2012), 449-458, 2012. 
  48. Chuanren Liu, Hui Xiong. Data Mining for Enhancement of Health Care ManagementDoctoral Student Forum in the 2012 SIAM International Conference on Data Mining, April 2012. 
  49. Chuanren Liu, Tianming Hu, Yong Ge, and Hui Xiong. Which Distance Metric is Right: An Evolutionary K-Means ViewThe 12th SIAM International Conference on Data Mining (SDM 2012), 907-918, 2012. 
  50. Yong Ge, Hui Xiong, Chuanren Liu, and Zhihua Zhou. A Taxi Driving Fraud Detection SystemThe 11th IEEE International Conference on Data Mining (ICDM 2011), 181-190, 2011. 
  51. Yong Ge, Chuanren Liu, Hui Xiong, Jian Chen. A taxi business intelligent systemThe 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), Demonstration track:735-738, 2011. 
  52. Tianming Hu, Chuanren Liu, Jing Sun, Sam Yuan Sung, and Peter A. Ng. Pairwise Constrained Clustering with Group Similarity-Based PatternsThe 9th International Conference on Machine Learning and Applications (ICMLA 2010), 260-265, 2010. 
  53. Tianming Hu, Ji Ouyang, Chao Qu, and Chuanren Liu. Initialization of the Neighborhood EM Algorithm for Spatial ClusteringThe 5th International Conference on Advanced Data Mining and Applications (ADMA 2009), 487-495, 2009.