
Bolei Zhou
Assistant Professor
Computer Science Department, University of California, Los Angeles
Office: 295D, Engineering VI, UCLA.
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My research is at the intersection of computer vision and robot learning, with a focus on developing efficient, interpretable, and generalizable AI agents (both embodied and virtual) that aligns with humans. I am also interested in understanding various human-centric properties of current AI models beyond their accuracy, such as explainability, interpretability, steerability, generalization, and safety. Some of the earlier works I co-authored are Class Activation Mapping (CAM), Places, ADE20K, Network Dissection.
See MetaDriverse for our recent work on robot learning and embodied AI.
See GenForce for our recent work on generative modeling and GenAI.
News
Jan 23, 2025 | Thank ONR for supporting our research via ONR Young Investigator Award, with news of UCLA, Samueli Engineering School, CS department. |
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Jul 31, 2024 | Check out the newest urban environment simulator MetaUrban for embodied AI research in micromobility. |
Jul 31, 2024 | My talk record at CVPR’24 Workshop on Autonomous Driving summarizes our effort of building the open-source simulation platform MetaDriverse for AI research and mobility. Slide is available. |
Jun 12, 2024 | CVPR’2024: give invited talks at Workshop on Autonomous Driving (WAD) on 06/17 AM and Workshop on Robot Visual Perception in Human Crowded Environments on 06/18 PM, and co-organize Workshop on Populating Empty Cities on 06/17 PM. |
Feb 13, 2024 | Thank NSF for supporting our research via NSF CAREER Award. |
Sep 12, 2023 | Thank Intel for supporting our research via Intel’s 2023 Rising Star Faculty Award. |
Apr 26, 2023 | Invited talks at workshops on coPerception: collaborative perception and learning at ICRA’23, end-to-end autonomous driving at CVPR’23, and secure and safe autonomous driving at CVPR’23, and BIRS workshop on 3D generative models. |
Mar 24, 2023 | Grateful to receive NSF award for supporting our research of developing our MetaDrive driving simulator into MetaDriverse, an open-source infrastructure for AI research on autonomous driving. |
Jan 9, 2023 | I summarize our effort of going from Network Dissection to Policy Dissection in the talk Discovering Interpretable Concepts in Deep Representations at IPAM Workshop on Explainable AI for the Sciences: Towards Novel Insights. |
Selected Publications
NeurIPS