Jie Lin

M.Sc. student, Computer Science, University of British Columbia

prof_pic.jpg

Vancouver, BC, Canada

I am an M.Sc. student in Computer Science at the University of British Columbia, advised by Prof. Xin Tang. My research interests are in applied machine learning, with a focus on AI for healthcare and biological applications, and on building models that are interpretable and explainable.

Before UBC, I completed my undergraduate studies in Information Management (minor in Computer Science and Information Engineering) at National Taiwan University, where I was involved in several research labs:

  • Project research assistant in the Speech Processing and Machine Learning Lab, advised by Prof. Hung-yi Lee, working on Taiwan-localized speech LLMs
  • Mitacs Globalink research intern at the University of Alberta, working with Prof. Russell Greiner and Prof. Sunil Kalmady Vasu on deep survival prediction for cardiovascular patients
  • Undergraduate research student in the Pervasive and Autonomous Intelligence Lab, advised by Prof. Fang-Jing Wu, working on indoor positioning from ambient light sensing
  • Summer research student in the Bio-ASP Lab at the Institute of Information Science, Academia Sinica, working with Dr. Yu Tsao on ECG super-resolution using deep learning

On the industry side, I was an AI R&D intern at Tomofun, a world leading pet technology startup, where I worked on AI algorithm and application related research and applied it to products.

news

Sep 08, 2026 Our paper “TASTE2: Text-Aligned Speech Modeling and Deployment toward Full-Duplex Voice Interaction” is now on arXiv.
Sep 01, 2026 Started my M.Sc. in Computer Science at the University of British Columbia, advised by Prof. Xin Tang.
Sep 01, 2026 Awarded the UBC Computer Science Merit Scholarship.
Jul 01, 2026 Our paper “LiGen: GAN-Augmented Spectral Fingerprinting for Indoor Positioning” was accepted to IEEE VTC2026-Fall.
Apr 01, 2026 Our paper “Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction” was accepted to IEEE CBMS 2026.
Feb 01, 2025 Our paper “MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution” was accepted to IEEE ICASSP 2025.
Dec 01, 2024 Received the National Taiwan University Presidential Award.

selected publications

  1. taste2.png
    TASTE2: Text-Aligned Speech Modeling and Deployment toward Full-Duplex Voice Interaction
    Yi-Chang Chen, Chun Wei Chen, Dien-Ruei Wu, and 7 more authors
    arXiv preprint arXiv:2609.08956, Sep 2026
  2. ligen.png
    LiGen: GAN-Augmented Spectral Fingerprinting for Indoor Positioning
    Jie Lin, Hsun-Yu Lee, Ho-Ming Li, and 1 more author
    In IEEE VTC2026-Fall, Sep 2026
  3. harmonized-ecg.png
    Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
    Jie Lin, Weijie Sun, Sunil V. Kalmady, and 4 more authors
    In IEEE CBMS 2026, Jun 2026
  4. msecg.png
    MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution
    Jie Lin, I Chiu, Kuan-Chen Wang, and 4 more authors
    In IEEE ICASSP, Apr 2025