Zheng Wang


Principal Researcher & Huawei TopMinds
Huawei Singapore Research Center

Office: The Metropolis Tower 1, North Buona Vista Drive, Singapore 138589
Email: wangzheng155@huawei.com, zheng011@e.ntu.edu.sg


Biography

I am currently a Principal Researcher and Huawei TopMinds at Huawei Singapore Research Center. Prior to that, I received my PhD degree from the School of Computer Science and Engineering, Nanyang Technological University in 2023, advised by Prof. Cheng Long and Prof. Gao Cong. I was a recipient of Honourable Mention for Outstanding PhD Thesis Award, WAIC Yunfan Award, Google PhD Fellowship, and AISG PhD Fellowship. I received my Master's degree from the Department of Computer Science, the University of Hong Kong in 2018, and Bachelor's degree from the School of Computer Science and Technology (Elite Class), Shandong University in 2016.


Research Interest

My research interests are broadly in data management, data mining and deep learning. My current topics are summarized as follows:

If you are interested in working with me as a research intern on large language/multimodal models, please contact me.

Experience

  • Huawei Singapore Research Center
    Principal Researcher and Huawei TopMinds, September 2022 - Present
  • Joint NTU-WeBank Research Center on Fintech, Nanyang Technological University
    Research Associate, August 2020 - July 2021
    Advisors: Prof. Cheng Long and Prof. Gao Cong
  • Data Management and Analytics Lab, Nanyang Technological University
    Research Associate, May 2018 - July 2020
    Advisors: Prof. Cheng Long and Prof. Gao Cong
  • Intelligent Driving Group, Baidu
    Algorithm Engineer, Nov 2017 - May 2018
  • System Group, The Chinese University of Hong Kong
    Research Intern, Jun 2017 - Nov 2017
    Advisors: Prof. Michael R. Lyu
  • Database Group, The University of Hong Kong
    Thesis: Continuous Spatial-Aware Community Search, Jan 2017 - Nov 2017
    Advisors: Prof. Reynold C.K. Cheng
  • Institute of Computing Technology, University of Chinese Academy of Science
    Visiting Student, Sep 2015 - Apr 2016
    Advisors: Dr. Xiaoming Sun
  • Graphics Group, The University of Hong Kong
    Research Intern, Jul 2015 - Aug 2015
    Advisors: Prof. Wenping Wang
  • Interdisciplinary Research Center, Shandong University
    Research Assistant, Sep 2014 - Jun 2015
    Advisors: Prof. Baoquan Chen
  • ACM-ICPC Lab, Shandong University
    Team Member, May 2013 - Jun 2014

Selected Publications

Full list of publications: [Google Scholar][DBLP] (* indicates that Zheng is the co-first author, # indicates that Zheng is the corresponding author)
  1. Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs [Paper][Slides]
    Zheng Wang, Zhongyang Li, Zeren Jiang, Dandan Tu, Wei Shi
    EMNLP 2024 (Main Conference, Long Paper)
  2. Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting [Paper]
    Chen Cai*, Zheng Wang*, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap
    EMNLP 2024 (Main Conference, Long Paper)
  3. M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions [Paper][Slides]
    Zheng Wang, Shu Xian Teo, Jieer Ouyang, Yongjun Xu, Wei Shi
    ACL 2024 (Main Conference, Long Paper)
  4. Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback [Paper][Slides][Media]
    Zheng Wang, Bingzheng Gan, Wei Shi
    WWW 2024 (Oral)
  5. 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)
  6. Billiards Sports Analytics: Datasets and Tasks [Paper]
    Qianru Zhang*, Zheng Wang*, Cheng Long, Siu-Ming Yiu
    TKDD 2024
  7. 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)
  8. 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)
  9. 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)
  10. 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%)
  11. Automated Spatio-Temporal Graph Contrastive Learning [Paper][Code]
    Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
    WWW 2023 (Oral)
  12. 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
  13. 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)
  14. 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)
  15. Similar Sports Play Retrieval with Deep Reinforcement Learning [Paper][Slides][Code]
    Zheng Wang, Cheng Long, Gao Cong
    TKDE 2022
  16. Trajectory Simplification with Reinforcement Learning [Paper][Technical Report][Slides][Code][Video]
    Zheng Wang, Cheng Long, Gao Cong
    ICDE 2021 (Oral)
  17. 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%)
  18. 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)
  19. 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 (Main Conference, Long Paper, Oral)
  20. 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)
  21. Interaction-aware Kalman Neural Networks for Trajectory Prediction [Paper]
    Ce Ju*, Zheng Wang*, Cheng Long, Xiaoyu Zhang, Dong Eui Chang
    IEEE IV 2020 (Oral)
  22. 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%)
  23. On Spatial-Aware Community Search [Paper]
    Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen
    TKDE 2018
  24. 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

Academia Services

  • Lead Organizer, Workshop on Information Seeking with Big Models
  • Lead Organizer, Workshop on Large Generative Models Meet Multimodal Applications
  • Session Chair: VLDB 2023, ICDE 2023-2024, CIKM 2022, SDM 2022
  • Conference PC Member
    • 2024: SIGMOD (Reproducibility), NeurIPS, WWW, EMNLP, ECCV, CIKM, SDM, MDM, BigData, DASFAA
    • 2023: SIGMOD (Reproducibility), KDD, NeurIPS, CIKM, DASFAA
    • 2022: KDD, OSDI (Artifact Evaluation), ATC (Artifact Evaluation), NeurIPS, CIKM
    • 2021: NeurIPS, AAAI
  • Journal Reviewer
    • TKDE, VLDBJ
  • Selected External Reviewer
    • SIGMOD, VLDB, ICDE, KDD, NeurIPS, AAAI, IJCAI, CIKM, ICDM, EMNLP

Teaching

  • Introduction to Databases (CZ2007), Teaching Assistant, 2022 Spring, NTU

Mentoring

  • Research Interns
    • Chen Cai (Nanyang Technological University, Aug 2023 - Jan 2024)
    • Yufan Zhao (National University of Singapore, May 2023 - Oct 2023)
    • Ramazan Rakhmatullin (University of Waterloo, May 2023 - Aug 2023)

Awards & Honors

  • Huawei TopMinds (2022), Future Star Award (2022), Innovation Competition (Silver Medal for 2023), Excellent Individual Award (2024)
  • Honourable Mention for Outstanding PhD Thesis Award, 2023
  • World Artificial Intelligence Conference (WAIC) Yunfan Award (15 selected world-wide), 2023
  • Nominated Schmidt Science Fellows, 2023
  • Google PhD Fellowship (sole winner from Asia in Structured Data and Database Management), 2021
  • AISG PhD Fellowship (one of top three NTU awardees), 2021-2023
  • Conference Travel Awards (WWW'23, KDD’21, VLDB’20, KDD’19)
  • Best Team Award in Baidu, 2017
  • Postgraduate Scholarship for Computer Science, The University of Hong Kong, 2016-2017
  • Outstanding Bachelor Thesis in SDU, 2016
  • Honorable Mention for Mathematical Contest in Modeling, 2015
  • Second Prize in Contemporary Undergraduate Mathematical Contest In Modeling, 2014
  • Honorable Mention in the ACM-ICPC Invitational Programming Contest Xian Site, 2014

Invited Talks

  • Large Generative Models Meet Multimodal Applications, Huawei Young Scholar Innovation Summit (2023)
  • Trajectory Data Simplification, Similarity Search and Inference with Deep Learning, HKBU (2022), WAIC (2023)