I am a Ph.D student in the Institute of Artificial Intelligence, Beihang University (BUAA), China, and my PhD supervisor is Xingxing Wei. Before that, I received B.S. degree in the School of Computer Science and Engineering, Beihang University (BUAA), China.
My research interest includes, MLLMs safety, knowledge distillation, adversarial attack, adversarial robustness in machine learning.
π» Experience
- 2022.09 - present, Ph.D Student, the Institute of Artificial Intelligence, Beihang University (BUAA).
- 2021.09 - 2022.07, M.S. Student, the School of Computer Science and Engineering, Beihang University (BUAA).
- 2017.09 - 2021.07, B.S. Student, the School of Computer Science and Engineering, Beihang University (BUAA).
π₯ News
- 2025.04: I will serve as a reviewer for NeurIPS 2025.
- 2025.02: I will serve as a reviewer for ICCV 2025.
- 2025.01: Β ππ I have been selected for Young Talent Support Project Doctoral Program of the China Association for Science and Technology.
- 2024.12: Β ππ I have been awarded the highest honor for students (the Shen Yuan Medal) at Beihang University.
- 2024.12: I will serve as a reviewer for TNNLS.
- 2024.11: I will serve as a reviewer for CVPR 2025.
- 2024.09: Β ππ a paper on Adversarial Robustness are accepted to NeurIPS 2024.
- 2024.06: Β ππ Two papers on Adversarial Robustness are accepted to TPAMI 2024.
- 2023.11: I will serve as a reviewer for CVPR 2024.
π Publications
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
Shiji Zhao, Xizhe Wang, Ranjie Duan and Xingxing Wei (Supervisor).
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Mitigating Accuracy-Robustness Trade-Off Via Balanced Multi-Teacher Adversarial Distillation
Shiji Zhao, Xizhe Wang, and Xingxing Wei (Supervisor).
IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Revisiting the Trade-Off Between Accuracy and Robustness Via Weight Distribution of Filters
Xingxing Wei (Supervisor), Shiji Zhao, and Bo Li.
IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Boosting adversarial transferability with learnable patch-wise masks
Xingxing Wei (Supervisor), and Shiji Zhao.
IEEE Transactions on Multimedia (TMM), 2023
Enhanced accuracy and robustness via multi-teacher adversarial distillation
Shiji Zhao, Jie Yu, zhenlong Sun, Bo Zhang, Xingxing Wei (Supervisor).
European Conference on Computer Vision (ECCV), 2022