Research Assistant • Institute of Electrical and Control Engineering • @NYCU
I am a Research Assistant at National Yang Ming Chiao Tung University (NYCU), supervised by Chair Professor Bing-Fei Wu. My research focuses on generative, efficient, and interpretable AI for intelligent robotic systems (including autonomous driving) and remote physiological sensing.
Recent work includes interpretable memory-based trajectory planning (winning the innovation award on the Autonomous Grand Challenge 2025 (ICCV Phase)); Generative AI for the synthesis of rare-event scenarios in autonomous driving; and an industry collaboration on interpretability for imaging-to-rPPG. I also lead several master’s students on generative AI for autonomous-driving scenarios and rare-event data. During my M.S., I developed a contact-free rPPG-based atrial fibrillation detection system that runs in real time on mobile devices and achieves >90% accuracy under motion and lighting variations; this work was selected as a Feature Article published in IEEE JBHI.
C.-H Lee, C.-W Tseng, C.-W Sun, B.-F. Wu
ICML
Status: Under Review
C.-W Sun, C.-W. Tseng, Yu-Chen Lin, and B.-F. Wu
IEEE Transactions on Intelligent Transportation Systems (IEEE T-ITS)
Status: Under Review
C.-W. Tseng, B.-F. Wu, S. Yu
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), Jan. 2025
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