Jinlin Xiang

Jinlin.jpeg

Jinlinx@uw.edu

I am a fourth-year Ph.D. candidate in the Department of Electrical & Computer Engineering at University of Washington, advised by Prof. Eli Shlizerman. I’m broadly interested in computer vision and machine learning. Currently, I’m working on transfer learning with corresponding applications, e.g., transfer learning for healthcare, unbiased AI, and neuromorphic computing.

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

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
Jan 14, 2025 One paper accepted at Advanced Photonics Nexus.
Oct 28, 2024 One paper accepted at WACV.
Jul 31, 2024 One paper accepted at CVMI2024.

Recent Publications

  1. MICCAI-DECAF
    Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
    Chenyu You, Jinlin Xiang, Kun Su, and 5 more authors
    In Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health 2022
  2. Applied Optics
    Knowledge distillation circumvents nonlinearity for optical convolutional neural networks
    Jinlin Xiang, Shane Colburn, Arka Majumdar, and 1 more author
    Applied Optics 2022
  3. 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
  4. 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
  5. CIBM
    DN-ODE: Data-driven neural-ODE modeling for breast cancer tumor dynamics and progression-free survivals
    Jinlin Xiang, Bozhao Qi, Marc Cerou, and 2 more authors
    Computers in Biology and Medicine 2024
  6. APN
    Compressed meta-optical encoder for image classification
    Anna Wirth-Singh, Jinlin Xiang, Minho Choi, and 5 more authors
    Advanced Photonics Nexus 2025
  7. 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