Scholar
Kun Shao
Google Scholar ID: 4CNMLWAAAAAJ
Huawei
AI Agent
reinforcement learning
multi-agent systems
embodied AI
game AI
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
2,213
H-index
21
i10-index
32
Publications
20
Co-authors
15
list available
Contact
Email
shaokun1991@gmail.com
Twitter
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
30 items
Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection
2026
Cited
0
Memory Intelligence Agent
2026
Cited
0
InfoSeeker: A Scalable Hierarchical Parallel Agent Framework for Web Information Seeking
2026
Cited
0
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
2026
Cited
0
K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control
2026
Cited
0
Don't Break the Boundary: Continual Unlearning for OOD Detection Based on Free Energy Repulsion
2026
Cited
0
TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking
2026
Cited
0
ResMAS: Resilience Optimization in LLM-based Multi-agent Systems
arXiv.org · 2026
Cited
1
Load more
Resume (English only)
Co-authors
15 total
Jianye Hao
Huawei Noah's Ark Lab/Tianjin University
Dongbin Zhao
Institute of Automation, Chinese Academy of Sciences
Yuanheng Zhu
Institute of Automation, Chinese Academy of Sciences
Jun Wang
Professor, Computer Science, University College London
David Mguni
Lecturer, Computer Science, Queen Mary University of London
Dong Li
Huawei Noah's Ark Lab
Yaodong Yang
Boya (博雅) Assistant Professor at Peking University
Haitham Bou-Ammar
RL-Team Leader, BO-Team Leader, MAS-Team Leader Huawei Noah's Ark Lab, H. Assistant Professor @ UCL
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up