Tianqi Zhang

Tianqi Zhang (张添淇)

I'm Tianqi Zhang, a first-year CS Ph.D. student at UNC Chapel Hill, advised by Mingyu Ding. I received my undergraduate degree from Tsinghua University, where I majored in Mathematics and Physics & Measurement Control Technology and Instruments. During my undergraduate studies, I interned in IDLab led by Shengbo Li. I was also very fortunate to have the opportunity to go to UC Berkeley for summer research at the end of my junior year, where I was advised by Masayoshi Tomizuka.

Email / CV / Scholar / Github

Research

* denotes equal contribution

DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation
Yunchao Yao, Zhuxiu Xu, Tianqi Zhang, Zixian Liu, Sikai Li, Zhenyu Wei, Feng Chen, Dihong Huang, Kechang Wan, Chenyang Ma, Shuqi Zhao, Shenghua Gao, Masayoshi Tomizuka, Yi Ma, Mingyu Ding
Arxiv Preprint

arXiv / project / code

Learning Action Priors for Cross-embodiment Robot Manipulation
Dong Jing, Tianqi Zhang, Jiaqi Liu, Jinman Zhao, Zelong Sun, Li Erran Li, Zhiwu Lu, Mingyu Ding
Arxiv Preprint

arXiv

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies
Dong Jing*, Jingchen Nie*, Tianqi Zhang*, Jiaqi Liu, Huaxiu Yao, Zhiwu Lu, Mingyu Ding
Arxiv Preprint

arXiv

Moaw: Unleashing Motion Awareness for Video Diffusion Models
Tianqi Zhang, Ziyi Wang, Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Zhengyang Huang, Jie Zhou, Jiwen Lu
Arxiv Preprint

arXiv / code

Physics-Aware Robotic Palletization with Online Masking Inference
Tianqi Zhang, Zheng Wu, Yuxin Chen, Yixiao Wang, Boyuan Liang, Scott Moura, Masayoshi Tomizuka, Mingyu Ding, Wei Zhan
ICRA 2025 (Best Paper Award in Automation)

arXiv / code

Predictive Lagrangian Optimization for Constrained Reinforcement Learning
Tianqi Zhang*, Puzhen Yuan*, Guojian Zhan*, Ziyu Lin, Yao Lyu, Zhenzhi Qin, Jingliang Duan, Liping Zhang, Shengbo Eben Li
CDC 2025

arXiv

Academic Services

Conference Reviewer: CDC 2025, CoRL 2026