Zheng Wang

According to our database, Zheng Wang authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Billiards Sports Analytics: Datasets and Tasks.

Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu

CoRR, 2024

Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback.

Zheng Wang, Bingzheng Gan, Wei Shi

Proceedings of the ACM on Web Conference 2024, 2024

Collectively Simplifying Trajectories in a Database: A Query Accuracy Driven Approach.

Zheng Wang, Cheng Long, Gao Cong, Christian S. Jensen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Similar Sports Play Retrieval With Deep Reinforcement Learning.

Zheng Wang, Cheng Long, Gao Cong

IEEE Trans. Knowl. Data Eng., April, 2023

Trajectory data simplification, similarity search and inference with deep learning

Zheng Wang

PhD thesis, 2023

Deep learning coordinated with level set-based auxiliary refinement for polyps segmentation.

Zheng Wang, Zhilin Yao, Shengsheng Wang, Xiaohui Zhang

Signal Image Video Process., 2023

Towards Designing and Learning Piecewise Space-Filling Curves.

Jiangneng Li, Zheng Wang, Gao Cong, Cheng Long, Han Mao Kiah, Bin Cui

Proc. VLDB Endow., 2023

The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data.

Tu Gu, Kaiyu Feng, Gao Cong, Cheng Long, Zheng Wang, Sheng Wang

Proc. ACM Manag. Data, 2023

Automated Spatio-Temporal Graph Contrastive Learning.

Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu

Proceedings of the ACM Web Conference 2023, 2023

LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications.

Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Multimedia, 2023

NeurSEG: A Segment Driven Deep Neural Model for Nested Named Entity Recognition.

Zheng Wang, Fei Li, Cheng Long

Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, 2023

Fashion-GPT: Integrating LLMs with Fashion Retrieval System.

Qianqian Chen, Tianyi Zhang, Maowen Nie, Zheng Wang, Shihao Xu, Wei Shi, Zhao Cao

Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, 2023

Urban Region Representation Learning with OpenStreetMap Building Footprints.

Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation.

Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han

Proceedings of the International Conference on Machine Learning, 2023

Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.

Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

On Predicting and Generating a Good Break Shot in Billiards Sports.

Qianru Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

On Inferring User Socioeconomic Status with Mobility Records.

Zheng Wang, Mingrui Liu, Cheng Long, Qianru Zhang, Jiangneng Li, Chunyan Miao

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A segment enhanced span-based model for nested named entity recognition.

Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Xinhua Zhu, Heyan Huang

Neurocomputing, 2021

Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks.

Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Error-Bounded Online Trajectory Simplification with Multi-Agent Reinforcement Learning.

Zheng Wang, Cheng Long, Gao Cong, Qianru Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Trajectory Simplification with Reinforcement Learning.

Zheng Wang, Cheng Long, Gao Cong

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Modularized Interaction Network for Named Entity Recognition.

Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu, Guoxiu He, Meihuizi Jia

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning.

Zheng Wang, Cheng Long, Gao Cong, Yiding Liu

Proc. VLDB Endow., 2020

An Efficient Approach for Measuring Semantic Similarity Combining WordNet and Wikipedia.

Fei Li, Lejian Liao, Lanfang Zhang, Xinhua Zhu, Bo Zhang, Zheng Wang

IEEE Access, 2020

Interaction-aware Kalman Neural Networks for Trajectory Prediction.

Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Dong Eui Chang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Interaction-aware Kalman Neural Networks for Trajectory Prediction.

Ce Ju, Zheng Wang, Cheng Long, Xiaoyu Zhang, Gao Cong, Dong Eui Chang

CoRR, 2019

Effective and Efficient Sports Play Retrieval with Deep Representation Learning.

Zheng Wang, Cheng Long, Gao Cong, Ce Ju

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Representation Learning for Spatial Graphs.

Zheng Wang, Ce Ju, Gao Cong, Cheng Long

CoRR, 2018