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Kun Shao
Observed name:
Shao, Kun
Institutions:
Huawei Technologies (China),
Xiaomi (China)
Observed institutions:
Huawei Technologies (China),
Xiaomi (China)
OpenAlex ID:
A5129748194
Learning Precise Affordances From Egocentric Videos for Robotic Manipulation
2025
·
Gen Li
, Nikolaos Tsagkas
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
21
PDF
AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search
2026
·
Yu Li
, Lehui Li
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
11
PDF
Memory Intelligence Agent
2026
·
Qiao, Jingyang
, Meng, Weicheng
, et al.
·
arXiv (Cornell University)
·
10
PDF
TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking
2026
·
Yu Cheng
, Yongkang Hu
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
10
PDF
InfoSeeker: A Scalable Hierarchical Parallel Agent Framework for Web Information Seeking
2026
·
Lee, Ka Yiu
, Huang, Yuxuan
, et al.
·
arXiv (Cornell University)
·
6
PDF
TRACE: A Self-Evolving Skill Bank for Consistent, Limit-Aware LLM Agents
2026
·
Wu, Wenhao
, Zhang, Menghao
, et al.
·
arXiv (Cornell University)
·
3
PDF
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
2026
·
Chunjiang Mu
, Ya Zeng
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
3
PDF
Topological collapse of higher-order interactions bottlenecks collective intelligence in AI agent societies
2026
·
Lu, Shuo
, Meng, Weicheng
, et al.
·
arXiv (Cornell University)
·
1
PDF
Adaptive Theory of Mind for LLM-based Multi-Agent Coordination
2026
·
Mu, Chunjiang
, Zeng, Ya
, et al.
·
arXiv (Cornell University)
·
1
PDF
G-ReAct: Graph-Guided Deep Search via Structure-State Co-Evolution
2026
·
Yang, Shaoxiong
, Zhang, Mengyuan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
10
Citation count:
66
H-index:
5
I10-index:
4
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