Yao Xiao | Sun Yat-sen University

About Me

I am currently an EngD student at Sun Yat-sen University, supervised by Prof. Liang Lin and Prof. Pengxu Wei. I am a member of HCP Lab (Human-Cyber-Physical Intelligence Integration Lab) leaded by Prof. Liang Lin. Before that, I received the MEng and BEng in Computer Science and Technology at Sun Yat-sen University in 2023 and 2020, respectively, advised by Prof. Liang Lin, Prof. Cong Liu, and Prof. Pengxu Wei.

Research Interests

My general research interest is to build trustworthy deep learning systems for computer vision and beyond. Specifically, I am focusing on:

Machine Learning: adversarial robustness, domain adaptation, causality in deep learning
AI Generated Content (AIGC): controllable image/video generation, detection/evaluation of AIGC

News

[Mar. 2023] One paper on adversarially robust source-free domain adaptation is accepted to ICME 2023.
[Mar. 2023] One paper on large model fine-tuning and causality is accepted to CVPR 2023.

Publications

ICME

Adversarially Robust Source-free Domain Adaptation with Relaxed Adversarial Training

Yao Xiao, Pengxu Wei, Cong Liu, Liang Lin

IEEE International Conference on Multimedia and Expo (ICME), 2023.

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CVPR

Masked Images Are Counterfactual Samples for Robust Fine-tuning

Yao Xiao, Ziyi Tang, Pengxu Wei, Cong Liu, Liang Lin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

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Services

I serve as conference reviewer for ICML, ICLR, NeurIPS, SIGKDD, ICME, and journal reviewer for IEEE TNNLS.