Jack He

Harmonizing Minds, Embodying Intelligence.

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Los Angeles, CA, 90024

📧: jackhe313@ucla.edu

About me

Hi, This is Jack He, a senior-year undergraduate student majoring in Computer Science and Applied Mathematics at UCLA.

I am currently conducting research in Prof. Bolei Zhou’s lab and Prof. Cho-Jui Hsieh’s lab, with my interests spanning across Embodied AI, Computer Vision, Generative Models, and General Machine Learning.

My Chinese name 何喆 is pronounced as Hé Zhé in Pinyin, a more natural-sounding English pronunciation guide would be “Huh Zhuh.”

news

Feb 27, 2025 We’re excited to announce that our paper, Towards Autonomous Micromobility through Scalable Urban Simulation, has been accepted to CVPR 2025! 🎉🚀
Jan 22, 2025 We’re excited to announce that our paper, MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility, has been accepted to ICLR 2025 (Spotlight)! 🎉🚀 We can’t wait to share our work and hear the community’s feedback.
Sep 27, 2024 Our paper, MetaUrban: MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility, has been successfully submitted to ICLR 2025! 🎉🚀 We’re thrilled to share this milestone and eagerly await the feedback from the community.
Jul 31, 2024 After 1.5 years of dedicated research, our paper Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models has been submitted to TMLR 2024. 🚀 You can also check out our findings on arXiv.
Jul 01, 2024 I will be the TA for CS97: Introduction of Generative AI in 2024 Summer

selected publications

  1. CVPR Highlight
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    Towards Autonomous Micromobility through Scalable Urban Simulation
    Wayne* Wu , Honglin* He , Chaoyuan Zhang , Jack He , Seth Z. Zhao , Ran Gong , Quanyi Li , and Bolei Zhou
    In Conference on Computer Vision and Pattern Recognition, 2025
  2. ICLR Spotlight
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    MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility
    Wayne Wu* , Honglin He*Jack He , Yiran Wang , Chenda Duan , Zhizheng Liu , Quanyi Li , and Bolei Zhou
    In International Conference on Learning Representation, 2024
  3. arXiv
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    Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models
    Jack He , Jianxing Zhao , Andrew Bai , and Cho-Jui Hsieh
    In Preprint, 2024