Zhi Gao (高志)
Scholar

Zhi Gao (高志)

Google Scholar ID: X4FB-QYAAAAJ
Peking University
Computer VisionMachine LearningMulti-Modal LearningRiemannian Geometry
Citations & Impact
All-time
Citations
763
 
H-index
15
 
i10-index
15
 
Publications
20
 
Co-authors
4
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published papers in top international conferences such as NeurIPS, ICLR, ECCV, CVPR, including 'GUI KNOWLEDGE BENCH: REVEALING THE KNOWLEDGE GAP BEHIND VLM FAILURES IN GUI TASKS', 'MULTI-STEP REASONING FOR EMBODIED QUESTION ANSWERING VIA TOOL AUGMENTATION', etc.
Research Experience
  • Postdoctoral Research Fellow at the School of Intelligence Science and Technology, Peking University; Currently, an Associate Professor (tenure-track) at the School of Computer Science and Technology, Beijing Institute of Technology (BIT).
Education
  • Received B.S. in computer science from Beijing Institute of Technology (BIT), Beijing, China, in 2017; Received Ph.D. in computer science from Beijing Institute of Technology (BIT), Beijing, China, in 2023, under the supervision of Prof. Yuwei Wu and Prof. Yunde Jia.
Background
  • Research Interests: Computer vision and machine learning, including AI Agent, Multimodal Learning, Open-Environment Learning, and Riemannian Geometry. Background: Associate Professor (tenure-track) at the School of Computer Science and Technology, Beijing Institute of Technology (BIT). Previously, a postdoctoral research fellow at the School of Intelligence Science and Technology, Peking University, with Prof. Song-Chun Zhu.
Miscellany
  • Always looking for highly motivated Master and Ph.D. students who have excellent mathematic and programming skills to work on machine learning, vision and language modeling, and Riemannian manifold analytics. Also, welcomes undergraduate students interested in computer vision and machine learning to join the lab for research internships.