Jinlin Xiang

Jinlin.jpeg

Jinlinx@uw.edu

Ph.D. in Electrical & Computer Engineering at the University of Washington, advised by Prof. Eli Shlizerman. My research lies at the intersection of computer vision and machine learning, focusing on knowledge transfer methods that enable lightweight AI models to achieve high performance, with publications in Nature Communications, NeurIPS, and ICCV. I also have over two years of industry experience in Healthcare GenAI at Sanofi, including work on RAG systems, LLM agents, and video foundation models.

Before my Ph.D. study, I received a Master of Science degree in Engineering from the University of Washington in 2021, thesis option, specializing in Data science and machine learning. In my master’s degree, I closely worked with Prof. Eli Shlizerman and Prof. Arka Majumdar about Optical Neural Networks. I received my Bachelor’s degree in Mechanical Design Manufacturing and Automation (MDMA) at Chongqing University in 2018, which closely cooperated with National University of Singapore. I received Summer School certificate from Queen’s Univeristy of Belfast in 2016.

News

Dec 1, 2025 🎉 I’m happy to share that I have passed my dissertation defense!
Sep 18, 2025 🎉 One oral paper has been accepted at NeurIPS.
The demo and benchmark are available.
Sep 18, 2025 🎉 One poster paper has been accepted at NeurIPS.
Jul 1, 2025 One paper published at Nature Communications.
Mar 20, 2025 🎉 Excited to join the Editorial and Reviewer Board of the Journal of Human Cognition

Recent Publications

  1. ICCV
    TKIL: Tangent Kernel Optimization for Class Balanced Incremental Learning
    Jinlin Xiang, and Eli Shlizerman
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
    Poster
  2. IEEE T-IV
    Driver’s Hand-Foot Coordination and Global-Regional Brain Functional Connectivity under Fatigue: Via Graph Theory and Explainable Artificial Intelligence
    Yingzhang Wu, Wenbo Li, Jie Zhang, and 4 more authors
    IEEE Transactions on Intelligent Vehicles 2023
  3. WACV
    Endoscopic Scoring and Localization in Unconstrained Clinical Trial Videos
    Jinlin Xiang, Hillol Sarker, Bozhao Qi, and 8 more authors
    In Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Feb 2025
  4. NCOMMS
    Transferable polychromatic optical encoder for neural networks
    Minho Choi*, Jinlin Xiang*, Anna Wirth-Singh, and 3 more authors
    Nature Communications Jul 2025
  5. NeurIPS
    SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing
    Mingfei Chen, Zijun Cui, Xiulong Liu, and 4 more authors
    arXiv preprint arXiv:2506.05414 Jul 2025
  6. NeurIPS
    Neural Tangent Knowledge Distillation for Optical Convolutional Networks
    Jinlin Xiang, Minho Choi, Yubo Zhang, and 3 more authors
    arXiv preprint arXiv:2508.08421 Jul 2025