Chaoqi Chen

Chaoqi Chen (陈超奇)

Distinguished Professor
College of Computer Science and Software Engineering
Shenzhen University, Shenzhen, China

Office: Room L6-711-1@VCC, Zhizhen Building, Canghai Campus, SZU
Email: cqchen1994 [at] gmail.com

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I am a Distinguished Professor with the College of Computer Science and Software Engineering at Shenzhen University. My research starts from a simple question: where should robots get their experience? The physical world is too slow, too costly, and too unforgiving for machines to learn by trial and error, so I work on giving them a world of their own — a simulated universe faithful to real-world physics, where embodied agents can imagine what might happen, practice millions of times without risk, and carry the competence they earn there into reality. Toward this end, my current research centers on Embodied AI: world models and physics-grounded simulation, multimodal perception and reasoning in 3D scenes, and data-centric methods for scaling embodied experience.


Previously, I worked extensively on machine learning under distribution shifts — domain adaptation and generalization, test-time adaptation, out-of-distribution detection, and generalized category discovery — which grounds my pursuit of robust and adaptive AI systems in the open and ever-changing world. I received my Ph.D. in Computer Science from the University of Hong Kong, advised by Prof. Yizhou Yu (ACM/IEEE Fellow), and my M.Eng. and B.S. from Xiamen University, advised by Prof. Yue Huang and Prof. Xinghao Ding. I have published 40+ papers in top-tier venues such as IEEE TPAMI, NeurIPS, ICML, ICLR, CVPR, ICCV, AAAI, and ACM SIGGRAPH.


We are always looking for ambitious and self-motivated students (bachelor / master / Ph.D. / postdoc) to join us in researching cutting-edge AI. For Ph.D. applicants, please contact me at least one semester before your application (see CV writing tips and SZU graduate admission). SZU students are welcome to email me or drop by my office for in-person discussions.

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