Fan Zhang

Fan Zhang

Hong Kong University of Science and Technology

I am currently a postdoctoral associate in the Department of Mathematics at Hong Kong University of Science and Technology, jointly advised by Prof. Can Yang and Prof. Jianping Gan. I completed my Ph.D. at the University of Electronic Science and Technology of China, under the supervision of Prof. Wenyu Chen and Prof. Hong Qu. I received my Bachelor degree at the University of Electronic Science and Technology of China, advised by Prof. Hancong Duan.

My research interests include:

  1. AI for Scientific Discovery: discover scientific concept from noisy observational data, with application in Ocean and life science.
  2. Reinforcement Learning: offline reinforcement learning, multi-agent reinforcement learning.

🔥 News

  • 2023.10: 🎉 Join YangLab@HKUST as Postdoctoral Associate.

📝 Publications

Preprints

  • AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal oceans

    Fan Zhang, Hiusuet Kung, Fa Zhang, Can Yang#, Jianping Gan#.

  • GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks. [arxiv]

    Fan Zhang, Xin Zhang#.

  • Pessimistic Auxiliary Policy for Offline Reinforcement Learning. [under review]

    Chunlong Fu, Fan Zhang# , Luo Tong, Xin Zhang, Siying Wang, Guofang Liu, Teng Sheng

  • Inhibiting Error Exacerbation in Offline Reinforcement Learning with Data Sparsity. [major revision]

    Fan Zhang, Wenyu Chen, Siying Wang, Xin Zhang, Jiayin Li, Malu Zhang.

  • Taming the heterogeneous dynamics in ocean chlorophyll-a concentration prediction with a deep learning model.

    Fa Zhang, Hiusuet Kung, Fan Zhang, Zhiwei Wang, Can Yang#, Jianping Gan#.

Publications

  • Class-Agnostic Counting and Localization with Feature Augmentation and Scale-Adaptive Aggregation. [Knowledge-Based Systems]

    Chao Zhai, Yuhui Du, Hong Qu, Tianlei Wang, Fan Zhang, Mingsheng Fu, Wenyu Chen#.

    Knowledge-Based Systems, 2024, 112104

  • QDAP: Downsizing adaptive policy for cooperative multi-agent reinforcement learning. [Knowledge-Based Systems]

    Zhitong Zhao, Ya Zhang, Siying Wang, Fan Zhang, Malu Zhang, Wenyu Chen.

    Knowledge-Based Systems, 2024, 294: 111719

  • A novel self-supervised representation learning framework based on time-frequency alignment and interaction for mechanical fault diagnosis. [Knowledge-Based Systems]

    Daxing Fu, Jie Liu, Hao Zhong, Xin Zhang#, Fan Zhang.

    Knowledge-Based Systems, 2024: 111846

  • A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals. [Advanced Engineering Informatics]

    Xin Zhang, Li Jiang, Lei Wang, Tianao Zhang, Fan Zhang.

    Advanced Engineering Informatics, 2024, 60: 102365

  • Regularization-Adapted Anderson Acceleration for multi-agent reinforcement learning. [Knowledge-Based Systems]

    Siying Wang, Wenyu Chen, Liwei Huang, Fan Zhang, Zhitong Zhao, Hong Qu#.

    Knowledge-Based Systems. 2023, 275: 110709.

  • Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information. [IEEE Transactions on Systems, Man, and Cybernetics: Systems]

    Fan Li, Hong Qu#, Mingsheng Fu, Liyan Zhang, Fan Zhang, Wenyu Chen, Ruixuan Sun, Haixian Zhang.

    IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2023, 53(2): 882-896.

  • Improving Exploration in Actor-Critic with Weakly-pessimistic Value Estimation and Optimistic Policy Optimization. [IEEE Transactions on Neural Networks and Learning Systems]

    Fan Li, Mingsheng Fu#, Wenyu Chen, Fan Zhang, Haixian Zhang, Hong Qu#, Zhang Yi.

    IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3215596.

  • An Attention-Based Interactive Learning-to-Rank Model for Document Retrieval. [IEEE Transactions on Systems, Man, and Cybernetics: Systems]

    Fan Zhang, Wenyu Chen, Mingsheng Fu, Fan Li, Hong Qu#, Zhang Yi.

    IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2022, 52(9): 5770-5782.

💻 Professional Experience

  • 2023.10 - Now, Postdoctoral Associate, The Hong Kong University of Science and Technology.

🎓 Education

  • 2017.09 - 2023.08, Ph.D. in Computer Science and Technology, The University of Electronic Science and Technology of China.
  • 2013.09 - 2017.06, B.Sc. in Computer Science and Technology, The University of Electronic Science and Technology of China.

💬 Service

Invited Journal Reviewer:

  • IEEE Transactions on Cybernetics, Advanced Engineering Informatics, Neurocomputing

Invited Conference Reviewer:

  • IJCNN (2021, 2022)

📖 Teaching

  • 2019.09-2020.06, Finite Automata Theory, Teaching Assistant, UESTC.