Jinlin Xiang

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. |
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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
- ICCVTKIL: Tangent Kernel Optimization for Class Balanced Incremental LearningIn Proceedings of the IEEE/CVF International Conference on Computer Vision 2023
- IEEE T-IVDriver’s Hand-Foot Coordination and Global-Regional Brain Functional Connectivity under Fatigue: Via Graph Theory and Explainable Artificial IntelligenceIEEE Transactions on Intelligent Vehicles 2023
- WACVEndoscopic Scoring and Localization in Unconstrained Clinical Trial VideosIn Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Feb 2025
- NCOMMSTransferable polychromatic optical encoder for neural networksNature Communications Jul 2025
- NeurIPSSAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and HearingarXiv preprint arXiv:2506.05414 Jul 2025
- NeurIPSNeural Tangent Knowledge Distillation for Optical Convolutional NetworksarXiv preprint arXiv:2508.08421 Jul 2025