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Yiming Zhou

Research Scientist
PyTorch @ Meta
yimingzhou0416@gmail.com


About Me

I’m a Research Scientist at Meta Superintelligence Labs working on PyTorch.

Prior to Meta, I earned my Ph.D. in Electrical and Computer Engineering from UCLA under the supervision of Prof.Bahram Jalali. My research there centered on physics-informed machine learning and physics-inspired algorithms, including novel neural architectures and real-time computational imaging systems. Prior to UCLA, I got my B.E. in Eletronic Information Engineering from University of Science and Technology of China (USTC).

News

Publications

  1. PhyCV: The First Physics-inspired Computer Vision Library
    Yiming Zhou, Callen MacPhee, Madhuri Suthar, Bahram Jalali
    arXiv preprint arXiv:2301.12531
    Paper Code YouTube

  2. Physics-AI Symbiosis
    Bahram Jalali, Yiming Zhou, Achuta Kadambi, Vwani Roychowdhury
    Machine Learning: Science and Technology, 2022.
    Paper

  3. Soft Time Stretch: Boosting the Stretch Factor by Deep Learning
    Yiming Zhou, Tingyi Zhou, Bahram Jalali
    Conference on Lasers and Electro-Optics/Pacific Rim, 2022.
    Paper

  4. A Unified Framework for Photonic Time Stretch Systems
    Yiming Zhou, Jacky Chak-kee Chan, Bahram Jalali
    Laser & Photonics Reviews, 2022.
    Paper

  5. Accuracy and Resiliency of Analog Compute-in-Memory Inference Engines
    Zhe Wan, Tianyi Wang, Yiming Zhou, Subramanian Iyer, Vwani Roychowdhury
    ACM Journal on Emerging Technologies in Computing Systems, 2022.
    Paper

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Conference Chair

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