Scholar
Yang Yu
Google Scholar ID: PG2lDSwAAAAJ
Professor, Nanjing University
Artificial Intelligence
Reinforcement Learning
Evolutionary Algorithms
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
7,374
H-index
44
i10-index
133
Publications
20
Co-authors
18
list available
Contact
No contact links provided.
Publications
17 items
Efficient Test-Time Optimization for Multi-Agent Proof Autoformalization
2026
Cited
0
Offline Multi-agent Continual Cooperation via Skill Partition and Reuse
2026
Cited
0
MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources
2026
Cited
0
Provably Efficient Policy-Reward Co-Pretraining for Adversarial Imitation Learning
2026
Cited
0
How Should World Models Be Evaluated? A Decision-Making-Centric Position
2026
Cited
0
Autonomous Aerial Manipulation via Contextual Contrastive Meta Reinforcement Learning
2026
Cited
0
Cooperative Long Rope Skipping via Multi-Agent Reinforcement Learning
2026
Cited
0
Adversarial Imitation Learning with General Function Approximation: Theoretical Analysis and Practical Algorithms
2026
Cited
0
Load more
Resume (English only)
Academic Achievements
Published multiple papers in top conferences including but not limited to ICML, NeurIPS, etc.
Research Experience
Interned at Microsoft Research Asia; Currently a professor at the School of Artificial Intelligence, Nanjing University.
Education
PhD from the Department of Computer Science and Technology at Nanjing University; Master's degree from the same institution and department.
Background
Specializes in the field of artificial intelligence, particularly in reinforcement learning and machine learning.
Miscellany
Enjoys programming and exploring new technologies.
Co-authors
18 total
Zhi-Hua Zhou
Nanjing University
Chao Qian
Nanjing University
Zongzhang Zhang
Nanjing University
Lei Yuan
Nanjing University
Tian Xu
Nanjing University
Hong Qian
East China Normal University
Ziniu Li
The Chinese University of Hong Kong, Shenzhen
Ke Tang
Professor, Southern University of Science and Technology