About Me

I obtained my PhD degree from the University of Hong Kong under the supervision of Prof. Siu-Ming Yiu. Now I am a postdoc fellowship in Computing and Data Science at Nanyang Technological University, advised by Prof. Kwok-Yan Lam. During past several years, I also cooperated with Prof.Hongzhi Yin, Prof.Christian S Jensen and Prof. Pietro Lio.

Research Interests

My research focuses on LLM-driven time series, graph data mining, AI for biological science. I have conducted spatial-temporal data ming research (TKDE 2025, TKDD 2025, WWW 2023, ICML 2023, ICDE 2023), some research on time series (AAAI 2025) and efficient machine learning (Neurips 2025 and EMNLP 2025).

Selected Preprints (* denotes corresponding author)

  1. Time Series Analysis in Frequency Domain: A Survey of Open Challenges, Opportunities and Benchmarks
    Regina Zhang, Yuting Sun, Honggang Wen, Peng Yang, Xinzhu Li, Ming Li, Pietro Lio, Kwok-Yan Lam, Siu-Ming Yiu, Hongzhi Yin.
    PDF
  2. From Prompts to Agents: A Comprehensive Survey of LLM-Driven Time Series Analysis
    Regina Zhang, Si Qi Goh, Xingsheng Chen, Zongru Li, Honggang Wen, Jiale Guo and Menglin Yang and Hongzhi Yin and Qiang Yang and Siu-Ming Yiu and Kwok-Yan Lam.
    PDF
  3. A Comprehensive Survey on Benchmarks and Solutions in Software Engineering of LLM-Empowered Agentic System
    Jiale Guo, Suizhi Huang, Mei Li, Dong Huang, Xingsheng Chen, Regina Zhang*, Zhijiang Guo, Han Yu, Siu-Ming Yiu, Pietro Lio, Kwok-Yan Lam.
    PDF
  4. HMamba: Hyperbolic Mamba for Sequential Recommendation
    Regina Zhang, Honggang Wen, Wei Yuan, Crystal Chen, Menglin Yang, Siu-Ming Yiu, Hongzhi Yin.
    PDF

Selected Publications (* denotes corresponding author)

  1. AutoHFormer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction
    Regina Zhang, Honggang Wen, Ming Li, Dong Huang, Siu-Ming Yiu, Christian S Jensen, Pietro Liò.
    ICDE 2026 - (CORE rank A*)
    PDF
  2. Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward
    Han Weng, Puzhen Wu, Cui Longjie, Yi Zhan, Boyi Liu, Yuanfeng Song, Dun Zeng, Yingxiang Yang, Regina Zhang, Dong Huang, Xiaoming Yin, Yang Sun, Xing Chen.
    EMNLP 2025 - (CORE rank A*)
    PDF
  3. HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning
    Regina Zhang, Xinyi Gao, Haixin Wang, Dong Huang, Siu-Ming Yiu, Hongzhi Yin.
    CIKM 2025 - (CORE rank A)
    PDF
  4. A survey on point-of-interest recommendation: Models, architectures, and security
    Regina Zhang, Peng Yang, Junliang Yu, Haixin Wang, Xingwei He, Siu-Ming Yiu, Hongzhi Yin.
    TKDE 2025 - (CORE rank A*)
    PDF
  5. Efficient traffic prediction through spatio-temporal distillation
    Regina Zhang, Xinyi Gao, Haixin Wang, Siu Ming Yiu, Hongzhi Yin.
    AAAI 2025 (Oral) - (CORE rank A*)
    PDF
  6. Billiards sports analytics: Datasets and tasks
    Regina Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu.
    TKDD 2025 - (CORE rank A)
    PDF
  7. Graph augmentation for recommendation.
    Regina Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S Jensen.
    ICDE 2024 - (CORE rank A*)
    PDF
  8. Improving factual error correction by learning to inject factual errors.
    Xingwei He, Regina Zhang, A-Long Jin, Jun Ma, Yuan Yuan, Siu Ming Yiu.
    AAAI 2024 - (CORE rank A*)
    PDF
  9. Online anomalous subtrajectory detection on road networks with deep reinforcement learning.
    Regina Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi.
    ICDE 2023 - (CORE rank A*)
    PDF
  10. Spatial-temporal graph learning with adversarial contrastive adaptation.
    Regina Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu-Ming Yiu, Ruihua Han.
    ICML 2023 - (CORE rank A*)
    PDF
  11. Automated spatio-temporal graph contrastive learning.
    Regina Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu.
    WWW 2023 - (CORE rank A*)
    PDF
  12. RDA: An accelerated collision free motion planner for autonomous navigation in cluttered environments.
    Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Regina Zhang, Yonina C Eldar, Qi Hao, Jia Pan.
    IEEE Robotics and Automation Letters 2023 - (CORE rank A)
    PDF
  13. On predicting and generating a good break shot in billiards sports.
    Regina Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu.
    SDM 2022 - (CORE rank A)
    PDF
  14. Error-bounded online trajectory simplification with multi-agent reinforcement learning.
    Zheng Wang, Cheng Long, Gao Cong, Regina Zhang.
    SIGKDD 2022 - (CORE rank A*)
    PDF
  15. Building auto-encoder intrusion detection system based on random forest feature selection.
    XuKui Li, Wei Chen, Regina Zhang, Lifa Wu.
    Computer&security 2020 - (CORE rank A)
    PDF

Professional Activities

  • Reviewer for conferences and journals
    2025: Neurips, TKDE, AAAI, Scientific Reports
    2024: WWW, ICLR, ICML, AAAI
    2023: WWW, ICML
    2022: SDM

Invited Talks and Conference Talks

  • Invited Talks
    2025: University of Cambridge, UK
    2024: Cornel University, US
  • Conference Talks
    2025: CIKM, Korea
    2025: AAAI, US
    2024: ICDE, Europe
    2023: ICDE,WWW, US
    2022: SDM

Honors & Awards

  • 2020 - 2024 Postgraduate Scholarship, PhD
  • 2024 Baidu Top 40 researchers worldwild