A Unified Domain Adaptation Framework with Distinctive Divergence Analysis. - Zhiri Yuan; Xixu Hu; Qi Wu 009; Shumin Ma; Cheuk Hang Leung; Xin Shen 003; Yiyan Huang (Trans. Mach. Learn. Res., 2022)

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. - Kaijie Zhu; Xixu Hu; Jindong Wang 001; Xing Xie 001; Ge Yang 002 (ICCV, 2023)

Frustratingly Easy Model Generalization by Dummy Risk Minimization. - Juncheng Wang; Jindong Wang 001; Xixu Hu; Shujun Wang; Xing Xie 001 (CoRR, 2023)

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning. - Wang Lu; Xixu Hu; Jindong Wang 001; Xing Xie 001 (IEEE Data Eng. Bull., 2023)

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization. - Xixu Hu; Runkai Zheng; Jindong Wang 001; Cheuk Hang Leung; Qi Wu 009; Xing Xie 001 (ECCV (54), 2024)

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. - Jindong Wang 001; Xixu Hu; Wenxin Hou; Hao Chen 102; Runkai Zheng; Yidong Wang; Linyi Yang; Wei Ye 004; Haojun Huang; Xiubo Geng; Binxing Jiao; Yue Zhang 004; et al. (IEEE Data Eng. Bull., 2024)

Deep Into the Domain Shift: Transfer Learning Through Dependence Regularization. - Shumin Ma; Zhiri Yuan; Qi Wu 009; Yiyan Huang; Xixu Hu; Cheuk Hang Leung; Dongdong Wang; Zhixiang Huang (IEEE Trans. Neural Networks Learn. Syst., 2024)