Xingzhi Zhou

xingzhi.jpg

I am a 6-th-year Ph.D student at HKUST working with prof. Nevin L. Zhang. My research interests lie in the intersection of machine learning and computer vision. I am particularly interested in the following topics:

  • Test-time adaptation.
  • Vision-language models.
  • Generative models.

news

Dec 21, 2024 One paper was accepted by ICASSP 2025.
Dec 10, 2024 One paper was accepted by AAAI 2025.
Aug 16, 2024 One paper was accepted by BIBM 2024.

selected publications

  1. BIBM
    TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction
    Xingzhi Zhou, Xin Dong*, Chunhao Li, Yuning Bai, Yulong Xu, Ka Chun Cheung, Simon See, Xinpeng Song, Runshun Zhang, Xuezhong Zhou, and Nevin L. Zhang
    In IEEE International Conference on Bioinformatics and Biomedicine, 2024
  2. AAAI
    Test-Time Adaptation on Noisy Data via Model-pruning-based Filtering and Flatness-aware Entropy Minimization
    Xingzhi Zhou, Zhiliang Tian, Boyang Zhang, Yibo Zhang, Ka Chun Cheung, Simon See, Hao Yang, Yun Zhou, and Nevin L. Zhang
    In Association for the Advancement of Artificial Intelligence, 2025
  3. ICASSP
    Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting
    Xingzhi Zhou, Boyang Zhang, Zhiliang Tian, Yibo Zhang, Xin Niu, Ka Chun Cheung, Simon See, and Nevin L. Zhang
    In International Conference on Acoustics, Speech, and Signal Processing, 2025