Wenjia Wang

王文佳

I am a final-year Ph.D. student in Computer Science at the University of Hong Kong, advised by Prof. Taku Komura, with expected graduation in December 2026.

My research follows a connected path from human-centric perception models to human physical foundation models and unified humanoid control models. Starting from geometry- and contact-aware understanding of human bodies, hands, objects, and scenes, I study physical representations that connect perception with motion generation, task-level planning, and control. My long-term goal is to enable humanoid robots to acquire transferable skills from human behavior.

My background combines computer science research with engineering training at Tongji University and Nanjing University of Aeronautics and Astronautics. Before my Ph.D., I worked as an algorithm researcher at SenseTime and Tencent. My subsequent research experience includes Shanghai AI Laboratory, Seele AI, and Noitom Robotics.

During my Ph.D., I work closely with Dr. Lei Yang. My collaborators include Dr. Jingbo Wang, Dr. Lei Han, Dr. Rishabh Dabral, and Prof. Christian Theobalt. At the Miro-CGVU Joint Lab, I help shape the long-term technical roadmap, connect complementary research projects, and mentor researchers. My focus is on reusable model and system capabilities that connect human perception with robot learning.

I am seeking Robotics Research Scientist opportunities at the intersection of human-centric models and humanoid intelligence. Please get in touch if my research could be a good fit for your team.