Zheng Wang's Homepage

Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback [Paper][Slides][Media]
Zheng Wang, Bingzheng Gan, Wei Shi
WWW 2024 (Oral)
Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach [Paper][Technical Report][Code]
Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen
ICDE 2024 (Oral, Directly accepted without revision)
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data [Paper][Code]
Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang
SIGMOD 2023 (Oral)
Towards Designing and Learning Piecewise Space-Filling Curves [Paper][Code]
Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui
PVLDB 2023 (Oral)
Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning [Paper][Technical Report][Code]
Qianru Zhang*, Zheng Wang*, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
ICDE 2023 (Oral)
Urban Region Representation Learning with OpenStreetMap Building Footprints [Paper][Code]
Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang
KDD 2023 (Oral, Acceptance Rate: 313/1416 = 22.1%)
Automated Spatio-Temporal Graph Contrastive Learning [Paper][Code]
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
WWW 2023 (Oral)
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation [Paper][Code]
Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu-Ming Yiu, Ruihua Han
ICML 2023
On Predicting and Generating a Good Break Shot in Billiards Sports [Paper][Appendix][Code&Dataset]
Qianru Zhang*, Zheng Wang*, Cheng Long, Siu-Ming Yiu
SDM 2022 (Oral)
On Inferring User Socioeconomic Status with Mobility Records [Paper][Slides][Code][Video]
Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao
BigData 2022 (Oral)
Similar Sports Play Retrieval with Deep Reinforcement Learning [Paper][Slides][Code]
Zheng Wang, Cheng Long, Gao Cong
TKDE 2022
Trajectory Simplification with Reinforcement Learning [Paper][Technical Report][Slides][Code][Video]
Zheng Wang, Cheng Long, Gao Cong
ICDE 2021 (Oral)
Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning [Paper][Slides][Code][Video]
Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang
KDD 2021 (Oral, Acceptance Rate: 238/1541 = 15.4%)
Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks [Paper]
Fei Li, Zheng Wang^#, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu
WWW 2021 (Oral)
Modularized Interaction Network for Named Entity Recognition [Paper]
Fei Li, Zheng Wang^#, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu, Guoxiu He, Meihuizi Jia
ACL 2021 (Long Paper, Oral)
Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning [Paper][Technical Report][Slides][Code][Video]
Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
PVLDB 2020 (Oral)
Interaction-aware Kalman Neural Networks for Trajectory Prediction [Paper]
Ce Ju*, Zheng Wang*, Cheng Long, Xiaoyu Zhang, Dong Eui Chang
IEEE IV 2020 (Oral)
Effective and Efficient Sports Play Retrieval with Deep Representation Learning [Paper][Slides][Code][Video]
Zheng Wang, Cheng Long, Gao Cong, Ce Ju
KDD 2019 (Oral, Acceptance Rate: 110/1200 = 9.2%)
On Spatial-Aware Community Search [Paper]
Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen
TKDE 2018
Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising [Paper]
Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun
AAAI 2017