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 associate editor of IEEE TKDE, Distributed and Parallel Databases (DPD) and Data & Knowledge Engineering (DKE). 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. [TOIS] Yan Zhao, Liwei Deng, Kai Zheng*: AdaTaskRec: An Adaptive Task Recommendation Framework in Spatial Crowdsourcing. ACM Transactions on Information Systems (Accepted in April 2023)
  2. [TKDE] Yan Zhao, Jiaxin Liu, Yunchuan Li, Dalin Zhang, Christian S. Jensen, Kai Zheng*: Preference-aware Group Task Assignment in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Transactions on Knowledge and Data Engineering (Accepted in Apr 2023)
  3. [TKDE] Yan Zhao, Tinghao Lai, Ziwei Wang, Kaixuan Chen, Huan Li, and Kai Zheng*: Worker-Churn-based Task Assignment with Context-LSTM in Spatial Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering (Accepted in Feb 2023)
  4. [TKDE] Yan Zhao, Kai Zheng*, Yunchuan Li, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou: Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. IEEE Transactions on Knowledge and Data Engineering (Accepted in Nov 2022)
  5. [TKDE] Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, and Enhong Chen: Network Representation Lightening from Hashing to Quantization. IEEE Transactions on Knowledge and Data Engineering (Accepted in Jan 2022)
  6. [TKDE] Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng: DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering (Accepted in Jan 2022)
  7. [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)
  8. [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)
  9. [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)
  10. [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)
  11. [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)
  12. [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)
  13. [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)
  14. [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)
  15. [IS] Jin Chen, Defu Lian, Kai Zheng: Collaborative Filtering With Ranking-Based Priors on Unknown Ratings. IEEE Intelligent Systems 35(5): 38-49 (2020)
  16. [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)
  17. [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)
  18. [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)
  19. [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)
  20. [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)
  21. [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)
  22. [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)
  23. [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)
  24. [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)
  25. [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)
  26. [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)
  27. [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)
  28. [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)
  29. [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)
  30. [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)
  31. [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)
  32. [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)
  33. [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)
  34. [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)
  35. [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)
  36. [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)
  37. [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)
  38. [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)
  39. [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)
  40. [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)
  41. [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)
  42. [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)
  43. [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)
  44. [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)
  45. [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)
  46. [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)
  47. [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)
  48. [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] Xu Chen, Haitian Chen, Zibo Liang, Shuncheng Liu, Jinghong Wang, Kai Zeng, Han Su, Kai Zheng*: LEON: A New Framework for ML-Aided Query Optimization. VLDB 2023, Vancouver, Canada
  2. [VLDB] Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng*: BASE: Bridging the Gap between Cost and Latency for Query Optimization. VLDB 2023, Vancouver, Canada
  3. [SIGIR] Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng and Hongzhi Yin: Continuous Input Embedding Size Search For Recommender Systems. SIGIR 2023, Taipei
  4. [SIGIR] Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng and Hongzhi Yin: Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. SIGIR 2023, Taipei
  5. [ICDE] Shuncheng Liu, Yuyang Xia, Xu Chen, Jiandong Xie, Han Su, Kai Zheng*: Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle. ICDE 2023, California, USA
  6. [ICDE] Yue Cui, Shuhao Li, Wenjin Deng, Zhaokun Zhang, Jing Zhao, Kai Zheng, Xiaofang Zhou: ROI-demand Traffic Prediction: A Pre-train, Query and Fine-tune Framework. ICDE 2023, California, USA
  7. [ICDE] Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James Yu: Uncertainty Quantification for Traffic Forecasting: A Unified Approach. ICDE 2023, California, USA
  8. [WSDM] Xuanhao Chen, Liwei Deng, Yan Zhao, Kai Zheng: Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation. WSDM 2023, Singapore
  9. [WSDM] Liwei Deng, Hao Sun, Yan Zhao, Shuncheng Liu, Kai Zheng: S^2TUL: A Semi-Supervised Framework for Trajectory-User Linking. WSDM 2023, Singapore
  10. [NeurIPS] Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen: Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. NeurIPS 2022, New Orleans, USA
  11. [CIKM] Jiandong Xie, Yue Cui, Feiteng Huang, Chao Liu and Kai Zheng: MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis. CIKM 2022, Atlanta, USA
  12. [CIKM] Yuyang Xia, Shuncheng Liu, Xu Chen, Zhi Xu, Kai Zheng and Han Su: RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning. CIKM 2022, Atlanta, USA
  13. [CIKM] Shuncheng Liu, Xu Chen, Ziniu Wu, Liwei Deng, Han Su and Kai Zheng*: HeGA: Heterogeneous Graph Aggregation Network for Trajectory Prediction in High-Density Traffic. CIKM 2022, Atlanta, USA
  14. [CIKM] Liwei Deng, Yan Zhao, Zidan Fu, Hao Sun, Shuncheng Liu and Kai Zheng*: Efficient Trajectory Similarity Computation with Contrastive Learning. CIKM 2022, Atlanta, USA
  15. [CIKM] Jiaxin Liu, Liwei Deng, Hao Miao, Yan Zhao and Kai Zheng*: Task Assignment with Federated Preference Learning in Spatial Crowdsourcing. CIKM 2022, Atlanta, USA
  16. [CIKM] Xuanlei Chen, Yan Zhao and Kai Zheng*: Task Publication Time Recommendation in Spatial Crowdsourcing. CIKM 2022, Atlanta, USA
  17. [CIKM] Shuncheng Liu, Xu Chen, Yan Zhao, Jin Chen, Rui Zhou and Kai Zheng*: Efficient Learning with Pseudo Labels for Query Cost Estimation. CIKM 2022, Atlanta, USA
  18. [CIKM] Tinghao Lai, Yan Zhao, Weizhu Qian and Kai Zheng*: Loyalty-based Task Assignment in Spatial Crowdsourcing. CIKM 2022, Atlanta, USA
  19. [KDD] Jin Chen, Guanyu Ye, Yan Zhao, Shuncheng Liu, Liwei Deng, Xu Chen, Rui Zhou, Kai Zheng*: Efficient Join Order Selection Learning with Graph-based Representation. SIGKDD 2022, Washington DC, USA
  20. [KDD] Yuan Xu, Jiajie Xu, Jing Zhao, Kai Zheng, An Liu, Lei Zhao, Xiaofang Zhou: MetaPTP: An Adaptive Meta-optimized Model for Personalized Spatial Trajectory Prediction. SIGKDD 2022, Washington DC, USA
  21. [IJCAI] Yu Fan, Jiajie Xu, Rui Zhou, Jianxin Li, Kai Zheng, Lu Chen, Chengfei Liu: MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation. IJCAI 2022, Vienna, Austria
  22. [ICDE] Xuanhao Chen, Yan Zhao, Kai Zheng*, Bin Yang, Christian S. Jensen: Influence-aware Task Assignment in Spatial Crowdsourcing. ICDE 2022, Kuala Lumpur, Malaysia (long version)
  23. [ICDE] Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Yan Zhao, Feiteng Huang, Kai Zheng: Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection. ICDE 2022, Kuala Lumpur, Malaysia
  24. [ICDE] Shuncheng Liu, Zhi Xu, Huimin Ren, Tianfu He, Boyang Han, Jie Bao, Kai Zheng*, Yu Zheng: Detecting Loaded Trajectories for Hazardous Chemicals Transportation. ICDE 2022, Kuala Lumpur, Malaysia
  25. [WWW] Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng* and Christian S. Jensen: Outlier Detection for Streaming Task Assignment in Crowdsourcing. WWW 2022, Lyon, France
  26. [WWW] Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng* and Enhong Chen: Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW 2022, Lyon, France
  27. [WWW] Jin Chen, Binbin Jin, Defu Lian, Kai Zheng* and Enhong Chen: Learning Recommenders for Implicit Feedback with Importance Resampling. WWW 2022, Lyon, France
  28. [VLDB] David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, and Christian S. Jensen: Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. VLDB 2022, Sydney, Australia
  29. [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)
  30. [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 (Best Paper Award Nomination)
  31. [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)
  32. [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)
  33. [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)
  34. [CIKM] Ziwei Wang, Yan Zhao, Xuanhao Chen and Kai Zheng*: Task Assignment with Worker Churn Prediction for Spatial Crowdsourcing. CIKM 2021 (online)
  35. [CIKM] Guanyu Ye, Yan Zhao, Xuanhao Chen and Kai Zheng*: Task Allocation with Geographic Partition in Spatial Crowdsourcing. CIKM 2021 (online)
  36. [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)
  37. [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)
  38. [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)
  39. [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
  40. [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
  41. [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
  42. [ICDE] Yan Zhao, Jiannan Guo, Xuanhao Chen, Jianye Hao, Xiaofang Zhou, Kai Zheng*: Coalition-based Task Assignment in Spatial Crowdsourcing. ICDE 2021, Crete, Greece
  43. [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
  44. [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
  45. [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
  46. [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
  47. [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
  48. [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
  49. [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
  50. [CIKM] Han Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng*: Personalized Route Description Based on Historical Trajectories. CIKM 2019: 79-88, Beijing, China
  51. [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
  52. [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
  53. [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
  54. [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
  55. [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
  56. [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
  57. [AAAI] Jin Chen, Defu Lian, Kai Zheng: Improving One-Class Collaborative Filtering via Ranking-based Implicit Regularizer. AAAI 2019: 37-44, Hawaiian, USA
  58. [ICDE] Lisi Chen, Shuo Shang, Kai Zheng, Panos Kalnis: Cluster-based Subscription Matching for Geo-textual Data Streams. ICDE 2019: 890-901, Macau, China
  59. [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)
  60. [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
  61. [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
  62. [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
  63. [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
  64. [CIKM] Yan Zhao, Yang Li, Yu Wang, Han Su, Kai Zheng*: Destination-aware Task Assignment in Spatial Crowdsourcing. CIKM 2017: 297-306
  65. [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
  66. [CIKM] Jiabao Sun, Jiajie Xu, Kai Zheng, Chengfei Liu: Interactive Spatial Keyword Querying with Semantics. CIKM 2017: 1727-1736
  67. [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)
  68. [ICDM] Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng*, Victor S. Sheng, Hui Xiong: Exploiting Hierarchical Structures for POI Recommendation. ICDM 2017
  69. [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
  70. [KDD] Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao: Discrete Content-aware Matrix Factorization. KDD 2017: 325-334
  71. [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)
  72. [WSDM] Huiwen Liu, Jiajie Xu, Kai Zheng*, Chengfei Liu, Lan Du, Xian Wu: Semantic-aware Query Processing for Activity Trajectories. WSDM 2017: 283-292
  73. [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
  74. [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
  75. [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
  76. [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
  77. [WWW] Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui: Exploiting Dining Preference for Restaurant Recommendation. WWW 2016: 725-735
  78. [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
  79. [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
  80. [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
  81. [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
  82. [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)
  83. [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
  84. [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
  85. [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
  86. [SIGMOD] Wen Hua, Kai Zheng*, Xiaofang Zhou: Microblog Entity Linking with Social Temporal Context. SIGMOD Conference 2015: 1761-1775
  87. [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
  88. [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
  89. [ICDE] Han Su, Kai Zheng*, Jiamin Huang, Hoyoung Jeung, Lei Chen, Xiaofang Zhou: CrowdPlanner: A crowd-based route recommendation system. ICDE 2014: 1144-1155
  90. [ICDE] Kai Zheng, Shuo Shang, Nicholas Jing Yuan, Yi Yang: Towards efficient search for activity trajectories. ICDE 2013: 230-241
  91. [ICDE] Kai Zheng, Yu Zheng, Nicholas Jing Yuan, Shuo Shang: On discovery of gathering patterns from trajectories. ICDE 2013: 242-253
  92. [SIGMOD] Han Su, Kai Zheng*, Haozhou Wang, Jiamin Huang, Xiaofang Zhou: Calibrating trajectory data for similarity-based analysis. SIGMOD Conference 2013: 833-844
  93. [EDBT] Shuo Shang, Ruogu Ding, Bo Yuan, Kexin Xie, Kai Zheng, Panos Kalnis: User oriented trajectory search for trip recommendation. EDBT 2012: 156-167
  94. [ICDE] Kai Zheng, Yu Zheng, Xing Xie, Xiaofang Zhou: Reducing Uncertainty of Low-Sampling-Rate Trajectories. ICDE 2012: 1144-1155
  95. [EDBT] Kai Zheng, Goce Trajcevski, Xiaofang Zhou, Peter Scheuermann: Probabilistic range queries for uncertain trajectories on road networks. EDBT 2011: 283-294
  96. [SIGMOD] Kai Zheng, Gabriel Pui Cheong Fung, Xiaofang Zhou: K-nearest neighbor search for fuzzy objects. SIGMOD Conference 2010: 699-710
Technical Report
  1. Yan Zhao, Liwei Deng, Xuanhao Chen, Chenjuan Guo, Bin Yang, Tung Kieu, Feiteng Huang, Torben Bach Pedersen, Kai Zheng, and Christian S. Jensen. A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis. arXiv preprint arXiv:2209.04635 (2022)
  2. 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