Developing a Consumer Electronics Robotics with a Large Language Model Based on a Trustworthy AI Framework
IEEE Transactions on Consumer Electronics, 71(1):2027-2038, 2025.
Ph.D. Pathway Student, Griffith University
On-site Research Intern, Temporal Intelligence and Motion Extraction (TIME) Lab
Google Scholar / ResearchGate / CV / Email
Syuan-Hao Li received the B.S. degree in Computer Science from National Taitung University (NTTU), Taiwan, in 2025. He is currently a Ph.D. Pathway Student at Griffith University and an on-site research intern at the Temporal Intelligence and Motion Extraction (TIME) Lab, working on an ARC Research Hub internal research project under the supervision of Lei Wang and Prof. Yongsheng Gao. He serves as a workshop coordinator for TIME 2026: the 2nd International Workshop on Transformative Insights in Multi-faceted Evaluation, hosted at The Web Conference (WWW 2026). His research interests include temporal modeling, multimodal intelligence, and fine- and ultra-fine-grained visual understanding.
IEEE Transactions on Consumer Electronics, 71(1):2027-2038, 2025.
Proceedings of the 2024 2nd International Conference on Machine Learning and Pattern Recognition, 2024.
The Second International Workshop on Transformative Insights in Multifaceted Evaluation at The Web Conference, 2026.
arXiv preprint arXiv:2605.25119, 2026.
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