I am a Ph.D. student at the Laboratory of Cognitive Systems Science, University of Tsukuba. My research work focuses on analyzing driver visual behavior and improving risk perception to support safer driving.
Previously, I worked as a research assistant at the HOIS Lab, Hong Kong Polytechnic University, where I worked on multimodal methods for driver behavior detection.
My research interests lie at the intersection of driver assistance systems, human-computer interaction, and computer vision.
† equal contribution, * corresponding author
AB-DLM: An Improved Deep Learning Model Based on Attention Mechanism and BiFPN for Driver Distraction Behavior Detection
IEEE Access, 2022
Driver Fatigue Detection Method Based on Human Pose Information Entropy
Journal of Advanced Transportation, 2022
2023 Oct: National Scholarship for Graduate Students
2024 Jun: Outstanding Master's Thesis
2024 Jun: Outstanding Master's Graduate
2024 Dec - Present: Research Assistant at Japan Automotive Innovation Lab
2025 Apr - 2028 Apr: SPRING Fellowship, Japan Science and Technology Agency (JST)
Active Reviewer: IEEE Transactions on Intelligent Vehicles
Active Reviewer: IEEE Internet of Things Journal
I'm a die-hard League of Legends fan and a veteran player since S2. Jungle is my favorite position, and since 2024 I've been climbing the ranks on the Japan server. I've been lucky enough to get Rookie's autograph and take photos with some LoL pros. As Master Yi said: "A true master is an eternal student." Let's keep learning and growing together.
I'm a fan of Chinese rock music (still exploring). I love bands like Omnipotent Youth Society, No Party for Cao Dong, Sound Fragment, Queen, and Blind Melon. Besides conferences, you might also catch me at a music festival.