Deep Clustering with Features from Self-Supervised Pretraining. - Xingzhi Zhou 002; Nevin L. Zhang (CoRR, 2022)

TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction. - Xingzhi Zhou 002; Xin Dong; Chunhao Li; Yuning Bai; Yulong Xu; Ka Chun Cheung; Simon See; Xinpeng Song; Runshun Zhang; Xuezhong Zhou; Nevin L. Zhang (BIBM, 2024)

Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank. - Xingzhi Zhou 002; Zhiliang Tian; Ka Chun Cheung; Simon See; Nevin L. Zhang (CoRR, 2024)

Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization. - Xingzhi Zhou 002; Zhiliang Tian; Boyang Zhang; Yibo Zhang; Ka Chun Cheung; Simon See; Hao Yang; Yun Zhou; Nevin L. Zhang (AAAI, 2025)

Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting. - Xingzhi Zhou 002; Boyang Zhang; Zhiliang Tian; Yibo Zhang; Xin Niu 002; Ka Chun Cheung; Simon See; Nevin L. Zhang (ICASSP, 2025)