Xixu Hu

According to our database, Xixu Hu authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization.

Juncheng Wang, Lei Shang, Ziqi Liu, Wang Lu, Xixu Hu, Zhe Hu, Jindong Wang, Shujun Wang

CoRR, October, 2025

2024

Deep Into the Domain Shift: Transfer Learning Through Dependence Regularization.

Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang, Zhixiang Huang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.

Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie

IEEE Data Eng. Bull., 2024

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.

Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.

Wang Lu, Xixu Hu, Jindong Wang, Xing Xie

IEEE Data Eng. Bull., 2023

Frustratingly Easy Model Generalization by Dummy Risk Minimization.

Juncheng Wang, Jindong Wang, Xixu Hu, Shujun Wang, Xing Xie

CoRR, 2023

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.

Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Unified Domain Adaptation Framework with Distinctive Divergence Analysis.

Zhiri Yuan, Xixu Hu, Qi Wu, Shumin Ma, Cheuk Hang Leung, Xin Shen, Yiyan Huang

Trans. Mach. Learn. Res., 2022