Motion Generation / Humanoid Motion
Minyue Dai
I am a second-year Ph.D. student in Computer Science at Fudan University, jointly trained by Fudan University and Shanghai Artificial Intelligence Laboratory. I am fortunate to be advised by Dahua Lin, Bo Dai, and Jingbo Wang.
My research focuses on generative and controllable human motion, with an emphasis on motion synthesis, motion editing, and humanoid robot motion.
Selected Work
Publications
Controllable Text-to-Motion Generation via Modular Body-Part Phase Control
Minyue Dai, Ke Fan, Anyi Rao, Jingbo Wang, Bo Dai
Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
Ke Fan, Shunlin Lu, Minyue Dai, Runyi Yu, Lixing Xiao, Zhiyang Dou, Junting Dong, Lizhuang Ma, Jingbo Wang
Towards Synthesized and Editable Motion In-Betweening Through Part-Wise Phase Representation
Minyue Dai, Ke Fan, Bin Ji, Haoyu Zhao, Junting Dong, Jingbo Wang, Bo Dai
UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots
Kangning Yin, Weishuai Zeng, Ke Fan, Minyue Dai, Zirui Wang, Qiang Zhang, Zheng Tian, Jingbo Wang, Jiangmiao Pang, Weinan Zhang
Behavior Foundation Model for Humanoid Robots
Weishuai Zeng, Shunlin Lu, Kangning Yin, Xiaojie Niu, Minyue Dai, Jingbo Wang, Jiangmiao Pang
SMAP: Self-supervised Motion Adaptation for Physically Plausible Humanoid Whole-body Control
Haoyu Zhao, Sixu Lin, Qingwei Ben, Minyue Dai, Hao Fei, Jiangmiao Pang, Jingbo Wang, Junting Dong, Hua Zou
Honors and Awards
2021 National Scholarship, Education Ministry of China
2022 National Scholarship, Education Ministry of China
Education
2024.09 - now, School of Computer Science, Fudan University
2020.09 - 2024.06, School of Software Engineering, Xi'an Jiaotong University
GPA: 3.97/4.30, Rank: 1/140
Internships
2024.1 - now, Shanghai Artificial Intelligence Laboratory, China