Yao Xiao

An incoming CS Ph.D. student @ UIUC

Email: ava.xyao@gmail.com

About Me

I am an incoming Ph.D. student in Computer Science at the University of Illinois at Urbana-Champaign, and my advisor will be Prof. Derek Hoiem.

I obtained my master's degree from the University of Southern California, advised by Prof. Laurent Itti and Prof. Ram Nevatia. Before that, I got my B.S. degree from Fudan University.

My research interests mainly lie in computer vision, especially in:

• Humanoid Neural Network: guide models to become more human-like; simulate human learning ability; give insights into how humans perceive this world.

• Robustness: real-world robust learning systems; robustness to image distortions and adversarial examples.

• Explainable Artificial Intelligence: transparent, explainable, and controllable representation learning.

News

Selected Publications

Contributions of Shape, Texture, and Color in Visual Recognition

Yao Xiao*, Zhi Xu*, Yunhao Ge*, Xingrui Wang, Laurent Itti.

Under review.

PatchZero: Task-agnostic Defense for Adversarial Patch Attacks

Ke Xu*, Yao Xiao*, Zhaoheng Zheng, Kaijie Cai, Ram Nevatia.

Under review.

CVPR 2021

A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts

Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti and Ziyan Wu.

IEEE/ CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[Bibtex] [Paper] [Code] [Website] [Video]

@inproceedings{ge2021peek, title={A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts}, author={Ge, Yunhao and Xiao, Yao and Xu, Zhi and Zheng, Meng and Karanam, Srikrishna and Chen, Terrence and Itti, Laurent and Wu, Ziyan}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={2195--2204}, year={2021} }

ACII 2021, Oral

Contrastive Learning for Domain Transfer in Cross-Corpus Emotion Recognition

Yufeng Yin, Liupei Lu, Yao Xiao, Zhi Xu, Kaijie Cai, Haonan Jiang, Jonathan Gratch, Mohammad Soleymani.

The 9th International Conference on Affective Computing & Intelligent Interaction (ACII) 2021. Oral, acceptance rate 23.6%.

[Bibtex] [Paper] [Code] [Video]

@INPROCEEDINGS{9597453, author={Yin, Yufeng and Lu, Liupei and Xiao, Yao and Xu, Zhi and Cai, Kaijie and Jiang, Haonan and Gratch, Jonathan and Soleymani, Mohammad}, booktitle={2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)}, title={Contrastive Learning for Domain Transfer in Cross-Corpus Emotion Recognition}, year={2021}, volume={}, number={}, pages={1-8}, doi={10.1109/ACII52823.2021.9597453} }

→ Full list

Research Experiences

IRIS Computer Vision Lab, USC, Los Angeles, CA Research Assistant. May 2021 – May 2022 Advisor: Prof. Ram Nevatia

iLab, USC, Los Angeles, CA Research Assistant. August 2020 – December 2021 Advisor: Prof. Laurent Itti

Intelligent Human Perception Lab, USC, Los Angeles, CA Research Assistant. March 2021 – May 2021 Advisor: Prof. Mohammad Soleymani

Blog

A place to record my feelings, exploration, growth, and learning materials. I intend to be casual here, so I decided to use Mandarin for some posts.

• NEW [04/27/2022] An Excerpt from Crafting Your Research Future

This is an excerpt from Crafting Your Research Future: A Guide to Successful Masters and PhD Degrees in Science Engineering.

• [01/21/2022] 2022 Fall CS PhD申请总结

An article summarizing the experience during my CS PhD application process.

→ Full list

Academic Service

Reviewer

• Conference: CVPR 2022, TCV@CVPR 2022, AIBSD@AAAI 2022.

• Journal: IEEE Access.