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香港中文大学信息工程系老师教授导师介绍简介- Bolei Zhou

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Bolei Zhou

Assistant Professor
Computer Science Department, University of California, Los Angeles
Office: 295D, Engineering VI, UCLA

I study interpretable human-AI interaction for computer vision and machine autonomy. I am also interested in understanding various human-centric properties of current AI models beyond their accuracy, such as explainability, interpretability, steerability, generalization, fairness and bias.

Some of the earlier works I co-authored are Class Activation Mapping (CAM), Places, ADE20K, Network Dissection.

News

Jan 2, 2022	After wonderful 3 years at CUHK, I moved to UCLA CS to continue my academic journey.
Nov 2, 2021	MetaDrive simulator is released, facilitating generalizable RL and machine autonomy research.
Oct 8, 2021	honored to be in the ICCV Mentors and the PhD Consortium. Come to join Mentorship Social Session.
Oct 8, 2021	I gave a tutorial talk on Human-centric AI at ICCV’21 Tutorial on Trustworthy and Explainable Computer Vision, I also shared the story of my rejection experiences at ICCV@SSLL workshop.
Sep 29, 2021	Two papers are accepted to NeurIPS’21, one on efficient GAN training and the other on Multi-Agent RL.
Sep 15, 2021	Expert Guided Policy Optimization is accepted to the 5th Conference on Robot Learning (CoRL).
Sep 10, 2021	Homepage is rebuilt through Jekyll

Selected Publications

ICLR

Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization

Quanyi Li, Zhenghao Peng, and Bolei Zhou

International Conference on Learning Representations (ICLR) , 2022

NeurIPS

Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization

Zhenghao Peng, Quanyi Li, Chunxiao Liu, and Bolei Zhou

Neural Information Processing Systems (NeurIPS) , 2021
NeurIPS

Data-Efficient Instance Generation from Instance Discrimination

Ceyuan Yang, Yujun Shen, Yinghao Xu, and Bolei Zhou

Neural Information Processing Systems (NeurIPS) , 2021
CoRL

Safe Driving via Expert Guided Policy Optimization

Zhenghao Peng*, Quanyi Li*, Chunxiao Liu, and Bolei Zhou

Conference on Robot Learning (CoRL) , 2021
CVPR Oral

Closed-form factorization of latent semantics in GANs

Yujun Shen, and Bolei Zhou

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral) , 2021
CVPR Oral

Generative hierarchical features from synthesizing images

Yinghao Xu, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, and Bolei Zhou

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Oral) , 2021
IJCV

Semantic hierarchy emerges in deep generative representations for scene synthesis

Ceyuan Yang, Yujun Shen, and Bolei Zhou

International Journal of Computer Vision (IJCV) , 2021
TPAMI

InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs

Yujun Shen, Ceyuan Yang, Xiaoou Tang, and Bolei Zhou

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2020
PNAS

Understanding the role of individual units in a deep neural network

David Bau, Jun-Yan Zhu, Hendrik Strobelt, Agata Lapedriza, Bolei Zhou, and Antonio Torralba

Proceedings of the National Academy of Sciences (PNAS) , 2020

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