Jinlin Xiang

Jinlin.jpeg

Jinlinx@uw.edu

Final-year Ph.D. candidate in Electrical & Computer Engineering at the University of Washington, advised by Prof. Eli Shlizerman. My research interests lie broadly in computer vision and machine learning, with a focus on developing knowledge transfer algorithms that enable lightweight AI models to achieve performance comparable to large models. I have over two years of industry experience in healthcare AI, with hands-on work involving audio, video, clinical trial text, multimodal data, and real-world applications of large language models. Expected graduation: March 2026.

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

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
Mar 10, 2025 🎉I have passed my General Exam and am now a Ph.D. Candidate in UW Electrical & Computer Engineering

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