Kevin Kai Zheng (郑 凯)
Professor
School of Computer Science and Engineering
University of Electronic Science and Technology of China (UESTC)
My Google Scholar Page | My DBLP Page | My UESTC Homepage
Email: zhengkai@uestc.edu.cn
Address: Qingshuihe Campus:No.2006, Xiyuan Ave, West Hi-Tech Zone, 611731 | Chengdu, Sichuan, P.R.China
办公地址:成都市高新西区西源大道2006号,电子科技大学(清水河校区),主楼B1-406

Short Biography | 中文简介
Dr. Kai Zheng is a professor with University of Electronic Science and Technology of China (UESTC). He received Ph.D. (in 2012), Master (in 2009) and Bachelor (in 2006) degrees of Computer Science from The University of Queensland (UQ) (advised by Prof Xiaofang Zhou), Fudan University (advised by Prof Aoying Zhou) and Tongji University, respectively. Before joining UESTC, he has worked as Research Fellow (2012 - 2013) and ARC DECRA (Australian Research Council Discovery Early Career Research Award) Fellow (2014 - 2016) with the Data and Knowledge Engineering Group of UQ. His research interests include spatio-temporal databases, trajectory computing, spatial crowdsourcing, recommendation systems, as well as many other data-driven applications. He received a few best paper awards on international conferences including ICDE 2019 and 2015, APWeb-Waim 2017, WISE 2017. He served the General co-Chair of DASFAA 2017, Program co-Chair of APWeb 2016, and Program Committee for over 20 top-tier conferences including SIGMOD, PVLDB, ICDE, KDD, IJCAI, AAAI, WWW, etc. He is the editor of the Journal of Distributed and Parallel Databases (DPD) and the journal of Data & Knowledge Engineering (DKE), the guest editor for the Journal of WWW, Geoinformatica and Frontier of Computer Science. He has published over 140 peer-reviewed papers in top-tier conferences and journals in the area of Big Data Management. He is an IEEE senior member. He is a member of database committee and ubiquitous computing committee of China Computer Federation (CCF), and a member of intelligent service committee of Chinese Association for Artificial Intelligence (CAAI).

What's New


Books

Author: Ying Yan, Kai Zheng and Zhongxin Guo
Publisher: China Machine Press
ISBN: 9787111595113
Publish time: April 1st, 2018

Selected Journal Papers (* Corresponding author)
  1. [TKDE] Pengfei Ding, Guanfeng Liu, Yan Wang, Kai Zheng and Xiaofang Zhou: A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery. IEEE Transactions on Knowledge and Data Engineering (Accepted in October 2021)
  2. [TKDE] Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng*, Christian S. Jensen: SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply. IEEE Transactions on Knowledge and Data Engineering (Accepted in August 2021)
  3. [TKDE] Junhua Fang, Rong Zhang, Yan Zhao, Kai Zheng*, Xiaofang Zhou, Aoying Zhou: A-DSP: An Adaptive Join Algorithm for Dynamic Data Stream on Cloud System. IEEE Transactions on Knowledge and Data Engineering 33(5): 1861-1876 (2021)
  4. [TOIS] Yue Cui, Hao Sun, Yan Zhao, Hongzhi Yin, Kai Zheng*: Sequential-knowledge-aware Next POI Recommendation: A Meta-learning Approach. ACM Transactions on Information Systems (Accepted in April 2021)
  5. [TKDE] Defu Lian, Jin Chen, Kai Zheng*, Enhong Chen, Xiaofang Zhou: Ranking-based Implicit Regularization for One-Class Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering (Accepted in March 2021)
  6. [TOIS] Lei Guo, Hongzhi Yin, Tong Chen, Xiangliang Zhang, Kai Zheng: Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation. ACM Transactions on Information Systems (Accepted in March 2021)
  7. [TKDE] Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou: Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. IEEE Transactions on Knowledge and Data Engineering 33(4):1708-1721 (2021)
  8. [TKDE] Xuanhao Chen, Yan Zhao, Guanfeng Liu, Rui Sun, Xiaofang Zhou, Kai Zheng*: Efficient Similarity-aware Influence Maximization in Geo-social Network. IEEE Transactions on Knowledge and Data Engineering (Accepted in December 2020)
  9. [IS] Jin Chen, Defu Lian, Kai Zheng: Collaborative Filtering With Ranking-Based Priors on Unknown Ratings. IEEE Intelligent Systems 35(5): 38-49 (2020)
  10. [TKDE] Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Xiaofang Zhou: Overcoming Data Sparsity in Group Recommendation. IEEE Transactions on Knowledge and Data Engineering (Accepted in September 2020)
  11. [TKDE] Yan Zhao, Kai Zheng*, Hongzhi Yin, Guanfeng Liu, Junhua Fang, Xiaofang Zhou: Preference-aware Task Assignment in Spatial Crowdsourcing: from Individuals to Groups. IEEE Transactions on Knowledge and Data Engineering (Accepted in August 2020)
  12. [TKDE] Meng Chen, Yan Zhao, Xiaohui Yu, Kai Zheng*: Modeling Spatial Trajectories with Attribute Representation Learning. IEEE Transactions on Knowledge and Data Engineering (Accepted in Jun 2020)
  13. [TKDE] Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye: Modeling Product's Visual and Functional Characteristics for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering (Accepted in Apr 2020)
  14. [TITS] Meng Chen, Yixuan Zuo, Xiaoyi Jia, Yang Liu, Xiaohui Yu, Kai Zheng: CEM: A Convolutional Embedding Model for Predicting Next Locations. IEEE Transactions on Intelligent Transportation Systems (Accepted in March 2020)
  15. [TKDE] Bolong Zheng, Kai Zheng*, Christian S. Jensen, Nguyen Quoc Viet Hung, Han Su, Guohui Li, Xiaofang Zhou: Answering Why-Not Group Spatial Keyword Queries. IEEE Transactions on Knowledge and Data Engineering 32(1): 26-39 (2020)
  16. [TKDE] Mingjun Xiao, Kai Ma, An Liu, Hui Zhao, Zhixu Li, Kai Zheng, Xiaofang Zhou: SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering 32(4): 782-796 (2020)
  17. [ACM TDS] Zhong Yang, Bolong Zheng, Guohui Li, Nguyen Quoc Viet Hung, Guanfeng Liu, Kai Zheng*: Searching Activity Trajectories by Exemplar. ACM/IMS Transactions on Data Science 1(3) (2020)
  18. [VLDBJ] Han Su, Shuncheng Liu, Bolong Zheng, Xiaofang Zhou, Kai Zheng*: A Survey of Trajectory Distance Measures and Performance Evaluation. VLDB Journal 29(1): 3-32 (2020)
  19. [TKDE] Yan Zhao, Kai Zheng*, Yang Li, Han Su, Jiajun Liu, Xiaofang Zhou: Destination-aware Task Assignment in Spatial Crowdsourcing: A Worker Decomposition Approach. IEEE Transactions on Knowledge and Data Engineering 32(12): 2336-2350 (2020)
  20. [TNNLS] Changsheng Li, Chong Liu, Lixin Duan, Peng Gao, Kai Zheng: Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 31(7): 2294-2303 (2020)
  21. [TKDE] Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou: Reference-based Framework for Spatio-temporal Trajectory Compression and Query Processing. IEEE Transactions on Knowledge and Data Engineering 32(11): 2227-2240 (2020)
  22. [TKDE] Shuo Shang, Lisi Chen, Kai Zheng*, Christian S. Jensen, Zhewei Wei, Panos Kalnis: Parallel Trajectory-to-Location Join. IEEE Transactions on Knowledge and Data Engineering 31(6): 1194-1207 (2019)
  23. [TOIS] Defu Lian, Kai Zheng*, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie: GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Transactions on Information Systems 36(3): 33:1-33:29 (2018)
  24. [VLDBJ] Lei Li, Kai Zheng*, Sibo Wang, Xiaofang Zhou: Go Slow to Go Fast: Minimal On-Road Time Route Scheduling with Parking Facilities Using Historical Trajectory. VLDB Journal 27(3): 321-345 (2018)
  25. [TKDE] Guanfeng Liu, Kai Zheng*, An Liu, Zhixu Li, Yan Wang, Xiaofang Zhou: MCS-GPM: Multi-Constrained Simulation Based Graph Pattern Matching in Contextual Social Graphs. IEEE Transactions on Knowledge and Data Engineering 30(6): 1050-1064 (2018)
  26. [VLDBJ] Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis: Parallel trajectory similarity joins in spatial networks. VLDB Journal 27(3): 395-420 (2018)
  27. [TKDE] Bolong Zheng, Han Su, Wen Hua, Kai Zheng*, Xiaofang Zhou, Guohui Li: Efficient Clue-Based Route Search on Road Networks. IEEE Transactions on Knowledge and Data Engineering 29(9): 1846-1859 (2017)
  28. [TKDE] Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou: The Interaction Between Schema Matching and Record Matching in Data Integration. IEEE Transactions on Knowledge and Data Engineering 29(1): 186-199 (2017)
  29. [TKDE] Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, Xiaofang Zhou: Understand Short Texts by Harvesting and Analyzing Semantic Knowledge. IEEE Transactions on Knowledge and Data Engineering 29(3): 499-512 (2017)
  30. [TKDD] Wen-Yuan Zhu, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, Xiaofang Zhou: Exploiting Viral Marketing for Location Promotion in Location-Based Social Networks. ACM Transactions on Knowledge Discovery from Data 11(2): 25:1-25:28 (2016)
  31. [PR] Xinhang Song, Shuqiang Jiang, Luis Herranz, Yan Kong, Kai Zheng: Category co-occurrence modeling for large scale scene recognition. Pattern Recognition 59: 98-111 (2016)
  32. [TKDE] Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung: Adapting to User Interest Drift for POI Recommendation. IEEE Transactions on Knowledge and Data Engineering 28(10): 2566-2581 (2016)
  33. [TKDE] 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 27(3): 712-725 (2015)
  34. [TKDE] Haoji Hu, Kai Zheng, Xiaoling Wang, Aoying Zhou: GFilter: A General Gram Filter for String Similarity Search. IEEE Transactions on Knowledge and Data Engineering 27(4): 1005-1018 (2015)
  35. [TKDE] Shuo Shang, Kai Zheng, Christian S. Jensen, Bin Yang, Panos Kalnis, Guohe Li, Ji-Rong Wen: Discovery of Path Nearby Clusters in Spatial Networks. IEEE Transactions on Knowledge and Data Engineering 27(6): 1505-1518 (2015)
  36. [VLDBJ] Han Su, Kai Zheng*, Jiamin Huang, Haozhou Wang, Xiaofang Zhou: Calibrating trajectory data for spatio-temporal similarity analysis. VLDB Journal 24(1): 93-116 (2015)
  37. [TKDE] Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang, Xiaofang Zhou: Online Discovery of Gathering Patterns over Trajectories. IEEE Transactions on Knowledge and Data Engineering 26(8): 1974-1988 (2014)
  38. [VLDBJ] Shuo Shang, Ruogu Ding, Kai Zheng, Christian S. Jensen, Panos Kalnis, Xiaofang Zhou: Personalized trajectory matching in spatial networks. VLDB Journal 23(3): 449-468 (2014)
  39. [TMM] Zhigang Ma, Yi Yang, Nicu Sebe, Kai Zheng, Alexander G. Hauptmann: Multimedia Event Detection Using A Classifier-Specific Intermediate Representation. IEEE Transactions on Multimedia 15(7): 1628-1637 (2013)
  40. [TKDE] Kai Zheng, Zi Huang, Aoying Zhou, Xiaofang Zhou: Discovering the Most Influential Sites over Uncertain Data: A Rank-Based Approach. IEEE Transactions on Knowledge and Data Engineering 24(12): 2156-2169 (2012)
  41. [TODS] Kexin Xie, Ke Deng, Shuo Shang, Xiaofang Zhou, Kai Zheng: Finding Alternative Shortest Paths in Spatial Networks. ACM Transactions on Database Systems 37(4): 29:1-29:31 (2012)
  42. [VLDBJ] Kai Zheng, Xiaofang Zhou, Gabriel Pui Cheong Fung, Kexin Xie: Spatial query processing for fuzzy objects. VLDB Journal 21(5): 729-751 (2012)
Selected Conference Papers (* Corresponding author)
  1. [VLDB] Yue Cui, Kai Zheng*, Dingshan Cui, Jiandong Xie, Liwei Deng, Feiteng Huang and Xiaofang Zhou: METRO: A Generic Graph Neural Network Framework for Multivariate Time Series Forecasting. VLDB 2022, Sydney, Australia (code)
  2. [ICDM] Yunchuan Li, Yan Zhao and Kai Zheng: Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based Approach. ICDM 2021, Auckland, New Zealand
  3. [CIKM] Yue Cui, Chen Zhu, Guanyu Ye, Ziwei Wang and Kai Zheng*: Into the Unobservables: A Multi-range Encoder-decoder Framework for COVID-19 Prediction. CIKM 2021 (online)
  4. [CIKM] Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng* and Han Su*: PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning. CIKM 2021 (online)
  5. [CIKM] Hao Sun, Changjie Yang, Liwei Deng, Fan Zhou, Feiteng Huang and Kai Zheng*: PeriodicMove: Shift-aware Human Mobility Recovery with Graph Neural Network. CIKM 2021 (online)
  6. [CIKM] Ziwei Wang, Yan Zhao, Xuanhao Chen and Kai Zheng*: Task Assignment with Worker Churn Prediction for Spatial Crowdsourcing. CIKM 2021 (online)
  7. [CIKM] Guanyu Ye, Yan Zhao, Xuanhao Chen and Kai Zheng*: Task Allocation with Geographic Partition in Spatial Crowdsourcing. CIKM 2021 (online)
  8. [KDD] Shuncheng Liu, Han Su, Yan Zhao, Kai Zeng and Kai Zheng*: Lane Change Scheduling for Autonomous Vehicle: A Prediction-and-Search Framework. SIGKDD 2021 (online)
  9. [IJCAI] Huimin Sun, Jiajie Xu*, Kai Zheng*, Pengpeng Zhao, Pingfu Chao and Xiaofang Zhou: MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation. IJCAI 2021 (online)
  10. [SIGIR] Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang and Kai Zheng: Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR 2021 (online)
  11. [ICDE] Yan Zhao, Kai Zheng*, Jiannan Guo, Bin Yang, Torben Bach Pedersen, Christian S. Jensen: Fairness-aware Task Assignment in Spatial Crowdsourcing: Game-Theoretic Approaches. ICDE 2021, Crete, Greece
  12. [WWW] Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian and Kai Zheng: Automated Creative Optimization for E-Commerce Advertising. WWW 2021, Ljubljana, Slovenia
  13. [AAAI] Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng: Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. AAAI 2021
  14. [ICDE] Yan Zhao, Jiannan Guo, Xuanhao Chen, Jianye Hao, Xiaofang Zhou, Kai Zheng*: Coalition-based Task Assignment in Spatial Crowdsourcing. ICDE 2021, Crete, Greece
  15. [CIKM] Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang and Kai Zheng*: Multi-modal Knowledge Graphs for Recommender Systems. CIKM 2020, Online
  16. [ICDE] Bolong Zheng, Chenze Huang, Christian S. Jensen, Lu Chen, Nguyen Quoc Viet Hung, Guanfeng Liu, Guohui Li, Kai Zheng*: Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing. ICDE 2020: 13-24, Dallas, Texas, USA
  17. [ICDE] Yan Zhao, Kai Zheng*, Yue Cui, Han Su, Feida Zhu, Xiaofang Zhou: Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach. ICDE 2020: 973-984, Dallas, Texas, USA
  18. [IJCAI] Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, and Chunxiao Xing: Discovering Subsequence Patterns for Next POI Recommendation. IJCAI 2020: 3216-3222, Yokohama, Japan
  19. [IJCAI] Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang: Bilinear Graph Neural Network with Neighbor Interactions. IJCAI 2020: 1452-1458, Yokohama, Japan
  20. [ICDM] Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, Kai Zheng*: DMFP: A Dynamic Multi-faceted Fine-grained Preference Model for Recommendation.ICDM 2019: 608-617, Beijing, China
  21. [ICDM] Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, Kai Zheng*: Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery.ICDM 2019: 140-149, Beijing, China
  22. [CIKM] Han Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng*: Personalized Route Description Based on Historical Trajectories. CIKM 2019: 79-88, Beijing, China
  23. [IJCAI] Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng*: Profit-driven Task Assignment in Spatial Crowdsourcing. IJCAI 2019: 1914-1920, Macau, China
  24. [IJCAI] Huizhao Wang, Guanfeng Liu, An Liu, Zhixu Li, Kai Zheng*: DMRAN:A Hierarchical Fine-Grained Attention-Based Network for Recommendation. IJCAI 2019: 3698-3704, Macau, China
  25. [KDD] Yue Cui, Liwei Deng, Yan Zhao, Vicent W. Zheng, Bin Yao, Kai Zheng*: Hidden POI Ranking with Spatial Crowdsourcing. SIGKDD 2019: 814-824, Anchorage, Alaska
  26. [KDD] Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu and Kai Zheng: Origin-Destination Matrix Prediction via Graph Convolution: A New Perspective of Passenger Demand Modeling. SIGKDD 2019: 1227-1235, Anchorage, Alaska
  27. [AAAI] Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang and Kai Zheng*: Preference-aware Task Assignment in Spatial Crowdsourcing. AAAI 2019: 2629-2636, Hawaiian, USA
  28. [AAAI] Xiao-Yu Zhang, Haichao Shi, Changsheng Li, Kai Zheng, Xiaobin Zhu, Lixin Duan: Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision. AAAI 2019: 9227-9234, Hawaiian, USA
  29. [AAAI] Jin Chen, Defu Lian, Kai Zheng: Improving One-Class Collaborative Filtering via Ranking-based Implicit Regularizer. AAAI 2019: 37-44, Hawaiian, USA
  30. [ICDE] Lisi Chen, Shuo Shang, Kai Zheng, Panos Kalnis: Cluster-based Subscription Matching for Geo-textual Data Streams. ICDE 2019: 890-901, Macau, China
  31. [ICDE] Hongzhi Yin, Qinyong Wang, Kai Zheng, Zhixu Li, Jiali Yang, Xiaofang Zhou: Social Influence-based Group Representation Learning for Group Recommendation. ICDE 2019: 566-577, Macau, China (Best Paper Award)
  32. [KDD] Yan Zhao, Shuo Shang, Yu Wang, Bolong Zheng, Quoc Viet Hung Nguyen and Kai Zheng*: REST: A Reference-based Framework for Spatio-temporal Trajectory Compression. KDD 2018: 2797-2806, London, UK
  33. [KDD] Defu Lian, Kai Zheng*, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang and Xing Xie: High-order Proximity Preserving Information Network Hashing. KDD 2018: 1744-1753, London, UK
  34. [IJCAI] Zhongjian Lv, Jiajie Xu, Kai Zheng*, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou: LC-RNN: A Deep Learning Model for Traffic Speed Prediction. IJCAI 2018: 3470-3476, Stockholm, Sweden
  35. [ICDE] Quoc Viet Hung Nguyen, Kai Zheng*, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Thanh Tam Nguyen, Bela Stantic: What-if Analysis with Conflicting Goals: Recommending Data Ranges for Exploration. ICDE 2018: 89-100, Paris, France
  36. [CIKM] Yan Zhao, Yang Li, Yu Wang, Han Su, Kai Zheng*: Destination-aware Task Assignment in Spatial Crowdsourcing. CIKM 2017: 297-306
  37. [CIKM] Meng Hu, Zhixu Li, Yongxin Shen, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao: CNN-IETS: A CNN-based Probabilistic Approach for Information Extraction by Text Segmentation. CIKM 2017: 1159-1168
  38. [CIKM] Jiabao Sun, Jiajie Xu, Kai Zheng, Chengfei Liu: Interactive Spatial Keyword Querying with Semantics. CIKM 2017: 1727-1736
  39. [VLDB] Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu: ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs. PVLDB 11(1): 14-26 (2017)
  40. [ICDM] Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng*, Victor S. Sheng, Hui Xiong: Exploiting Hierarchical Structures for POI Recommendation. ICDM 2017
  41. [ACM MM] Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng*, Hui Xiong: Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. ACM Multimedia 2017
  42. [KDD] Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao: Discrete Content-aware Matrix Factorization. KDD 2017: 325-334
  43. [VLDB] Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Kai Zheng, Panos Kalnis: Trajectory Similarity Join in Spatial Networks. PVLDB 10(11): 1178-1189 (2017)
  44. [WSDM] Huiwen Liu, Jiajie Xu, Kai Zheng*, Chengfei Liu, Lan Du, Xian Wu: Semantic-aware Query Processing for Activity Trajectories. WSDM 2017: 283-292
  45. [ICDE] Bolong Zheng, Kai Zheng*, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou, Guohui Li: Keyword-aware continuous kNN query on road networks. ICDE 2016: 871-882
  46. [ICDE] Jiajun Liu, Kun Zhao, Brano Kusy, Ji-Rong Wen, Kai Zheng, Raja Jurdak: Learning abstract snippet detectors with Temporal embedding in convolutional neural Networks. ICDE 2016: 895-905
  47. [ICDE] Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Wasim Sadiq: Discovering interpretable geo-social communities for user behavior prediction. ICDE 2016: 942-953
  48. [ICDE] Jialong Han, Kai Zheng, Aixin Sun, Shuo Shang, Ji-Rong Wen: Discovering Neighborhood Pattern Queries by sample answers in knowledge base. ICDE 2016: 1014-1025
  49. [WWW] Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui: Exploiting Dining Preference for Restaurant Recommendation. WWW 2016: 725-735
  50. [UbiComp] Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui: Mining consumer impulsivity from offline and online behavior. UbiComp 2015: 1281-1292
  51. [ICDE] An Liu, Kai Zheng*, Lu Li, Guanfeng Liu, Lei Zhao, Xiaofang Zhou: Efficient secure similarity computation on encrypted trajectory data. ICDE 2015: 66-77
  52. [ICDE] Guanfeng Liu, Kai Zheng*, Yan Wang, Mehmet A. Orgun, An Liu, Lei Zhao, Xiaofang Zhou: Multi-Constrained Graph Pattern Matching in large-scale contextual social graphs. ICDE 2015: 351-362
  53. [ICDE] Kai Zheng, Han Su, Bolong Zheng, Shuo Shang, Jiajie Xu, Jiajun Liu, Xiaofang Zhou: Interactive Top-k Spatial Keyword queries. ICDE 2015: 423-434
  54. [ICDE] Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, Xiaofang Zhou: Short text understanding through lexical-semantic analysis. ICDE 2015: 495-506 (Best Paper Award)
  55. [ICDE] Han Su, Kai Zheng*, Kai Zeng, Jiamin Huang, Shazia Wasim Sadiq, Nicholas Jing Yuan, Xiaofang Zhou: Making sense of trajectory data: A partition-and-summarization approach. ICDE 2015: 963-974
  56. [ICDE] Bolong Zheng, Nicholas Jing Yuan, Kai Zheng*, Xing Xie, Shazia Wasim Sadiq, Xiaofang Zhou: Approximate keyword search in semantic trajectory database. ICDE 2015: 975-986
  57. [SIGKDD] Wen-Yuan Zhu, Wen-Chih Peng, Ling-Jyh Chen, Kai Zheng, Xiaofang Zhou: Modeling User Mobility for Location Promotion in Location-based Social Networks. KDD 2015: 1573-1582
  58. [SIGMOD] Wen Hua, Kai Zheng*, Xiaofang Zhou: Microblog Entity Linking with Social Temporal Context. SIGMOD Conference 2015: 1761-1775
  59. [WWW] Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou: A Novelty-Seeking based Dining Recommender System. WWW 2015: 1362-1372
  60. [CIKM] Haozhou Wang, Kai Zheng*, Jiajie Xu, Bolong Zheng, Xiaofang Zhou, Shazia Wasim Sadiq: SharkDB: An In-Memory Column-Oriented Trajectory Storage. CIKM 2014: 1409-1418
  61. [ICDE] Han Su, Kai Zheng*, Jiamin Huang, Hoyoung Jeung, Lei Chen, Xiaofang Zhou: CrowdPlanner: A crowd-based route recommendation system. ICDE 2014: 1144-1155
  62. [ICDE] Kai Zheng, Shuo Shang, Nicholas Jing Yuan, Yi Yang: Towards efficient search for activity trajectories. ICDE 2013: 230-241
  63. [ICDE] Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang: On discovery of gathering patterns from trajectories. ICDE 2013: 242-253
  64. [SIGMOD] Han Su, Kai Zheng*, Haozhou Wang, Jiamin Huang, Xiaofang Zhou: Calibrating trajectory data for similarity-based analysis. SIGMOD Conference 2013: 833-844
  65. [EDBT] Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, Panos Kalnis: User oriented trajectory search for trip recommendation. EDBT 2012: 156-167
  66. [ICDE] Kai Zheng, Yu Zheng, Xing Xie, Xiaofang Zhou: Reducing Uncertainty of Low-Sampling-Rate Trajectories. ICDE 2012: 1144-1155
  67. [EDBT] Kai Zheng, Goce Trajcevski, Xiaofang Zhou, Peter Scheuermann: Probabilistic range queries for uncertain trajectories on road networks. EDBT 2011: 283-294
  68. [SIGMOD] Kai Zheng, Gabriel Pui Cheong Fung, Xiaofang Zhou: K-nearest neighbor search for fuzzy objects. SIGMOD Conference 2010: 699-710
Technical Report
  1. Yue Cui, Jiandong Xie, Kai Zheng*: Historical Inertia: An Neglected but Powerful Baseline for Long Sequence Time-series Forecasting. CIKM 2021 (short)
Honors and Awards
Professional Activities