About Me

I obtained my PhD degree from the University of Hong Kong. Now I am a postdoc fellowship in Department of Biomedical Informatics of Medical School of Yale University under supervision of Prof.Liu Xiaofeng. Before that, I was a postdoc in Cambridge University under supervision of Prof.Lio Pietro (Proposer of the GAT network). During past several years, I also cooperated with Prof.Hongzhi Yin, Prof.Christian S Jensen and so on.

Research Interests

My research focuses on AI for biological science (JCTC 2026), LLM-driven time series and graph data mining (TKDE 2026, TOIS 2026, VLDBJ 2026, ICDE 2026, AAAI 2026, ICDE 2024). 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).

Research Interns Wanted

We are actively seeking highly motivated Research Interns with exceptional coding skills to join our team. Our research focuses on the exciting intersection of artificial intelligence and biological sciences, specifically targeting time series analysis, molecular analysis, and related AI applications. If you are passionate about leveraging cutting-edge machine learning to solve complex biological problems and possess a strong technical background, we would love to hear from you. Please send your CV and GitHub profile to reginazhang955@gmail.com. Besides, If you are intertested in my research, I am also ok to cooperate on research.

Selected Preprints (* denotes corresponding author)

  1. From Physics Constraints to Adaptive Discovery: OG-QIMP Enables Quantum-Informed Molecular Property Prediction
    Regina Zhang, Honggang Wen, Ming Li, Xiaojin Zhang, Qiang Yang, Siu-Ming Yiu, Pietro Lio, Kwok-Yan Lam.
    PDF
  2. 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
  3. 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
  4. 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

Selected Publications (* denotes corresponding author)

  1. M2rec: Multi-scale mamba for efficient sequential recommendation
    Regina Zhang*, Liang Qu, Honggang Wen, Dong Huang, Siu-Ming Yiu, Nguyen Quoc Viet Hung, Hongzhi Yin
    TKDE 2026 - (CORE rank A*)
    PDF
  2. A Systematic Survey and Benchmark of Deep Learning for Molecular Property Prediction in the Foundation Model Era
    Zongru Li, Xingsheng Chen, Honggang Wen, Regina Zhang*, Ming Li, Xiaojin Zhang, Hongzhi Yin, Qiang Yang, Kwok-Yan Lam, Pietro Lio, Siu-Ming Yiu
    Journal of Chemical Theory and Computation (JCTC 2026)- (Cover Paper, Top Journal in Chemistry)
    PDF
  3. Hmamba: Hyperbolic mamba for sequential recommendation
    Regina Zhang, Honggang Wen, Wei Yuan, Crystal Chen, Menglin Yang, Siu-Ming Yiu, Hongzhi Yin
    ACM Transactions on Information Systems (TOIS 2026)- (CORE rank A*)
    PDF
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. Billiards sports analytics: Datasets and tasks
    Regina Zhang, Zheng Wang, Cheng Long, Siu-Ming Yiu.
    TKDD 2025 - (CORE rank A)
    PDF
  10. Graph augmentation for recommendation.
    Regina Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S Jensen.
    ICDE 2024 - (CORE rank A*)
    PDF
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. Error-bounded online trajectory simplification with multi-agent reinforcement learning.
    Zheng Wang, Cheng Long, Gao Cong, Regina Zhang.
    SIGKDD 2022 - (CORE rank A*)
    PDF
  18. 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