Yao Xiao

An incoming CS Ph.D. student @ UIUC

Curriculum Vitae
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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.

University of Illinois at Urbana-Champaign
UIUC
2022 – 2027
University of Southern California
USC
2020 – 2021
Fudan University
FDU
2014 – 2018

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

University of Southern California

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.

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

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.

Last Updated: 5/7/2022, 4:18:56 PM