Zhenliang Zhang

Research Scientist of AI

Beijing Institute for General Artificial Intelligence

Biography

Dr. Zhang is a full-time research scientist at Beijing Institute for General Artificial Intelligence (BIGAI). He received his Ph.D. degree (‘19) from Beijing Institute of Technology advised by Prof. Yongtian Wang, and also worked as a visiting Ph.D. student advised by Prof. Song-Chun Zhu at the Center for Vision, Cognition, Learning, and Autonomy (VCLA) of UCLA. His research interest is currently focused on reinforcement learning, embodied artificial intelligence, autonomous robots, and symmetrical reality.

Interests

Reinforcement Learning
Artificial General Intelligence
Autonomous Robots
Mixed/Virtual Reality
Symmetrical Reality

Education

PhD in Optical Engineering, 2019

Beijing Institute of Technology
Joint PhD in Statistics, 2019

University of California, Los Angeles
BSc in Electronic Science&Technology, 2013

Beijing Institute of Technology

Featured Publications

Zhenliang Zhang, Zeyu Zhang, Ziyuan Jiao, Yao Su, Hangxin Liu, Wei Wang, Song-Chun Zhu

January, 2024 In VR

[VR 2024] On the Emergence of Symmetrical Reality

In this paper, we introduce the symmetrical reality framework, which offers a unified representation encompassing various forms of physical-virtual amalgamations.

Yujia Peng, Jiaheng Han, Zhenliang Zhang, Lifeng Fan, Tengyu Liu, Siyuan Qi, Xue Feng, Yuxi Ma, Yizhou Wang, Song-Chun Zhu

August, 2023 In Engineering

[Engineering 2023] The tong test: Evaluating artificial general intelligence through dynamic embodied physical and social interactions

The Tong test describes a value- and ability-oriented testing system that delineates five levels of AGI milestones through a virtual environment with DEPSI, allowing for infinite task generation.