Kun Shao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
14
Active years
2001–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search. | Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu |
| 2026 | AAAI | Adaptive Theory of Mind for LLM-based Multi-Agent Coordination. | Chunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao, Chen Chu, Hao Guo, Danyang Jia, Zhen Wang, Shuyue Hu |
| 2026 | AAAI | ResMAS: Resilience Optimization in LLM-based Multi-agent Systems. | Zhilun Zhou, Zihan Liu, Jiahe Liu, Qingyu Shao, Yihan Wang, Kun Shao, Depeng Jin, Fengli Xu |
| 2026 | WWW | AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search. | Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng |
| 2025 | ICCV | Learning Precise Affordances From Egocentric Videos for Robotic Manipulation. | Gen Li, Nikolaos Tsagkas, Jifei Song, Ruaridh Mon-Williams, Sethu Vijayakumar, Kun Shao, Laura Sevilla-Lara |
| 2025 | ICLR | Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. | Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao |
| 2025 | ICLR | Lightweight Neural App Control. | Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao |
| 2025 | ICLR | DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent. | Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao |
| 2024 | ICML | Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. | Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson |
| 2023 | AAAI | Learning to Shape Rewards Using a Game of Two Partners. | David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang |
| 2023 | ICCV | Traj-MAE: Masked Autoencoders for Trajectory Prediction. | Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng |
| 2023 | ICLR | Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. | David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang |
| 2022 | CoRL | Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. | Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao |
| 2022 | DASFAA | Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. | Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao |
| 2022 | ICCAD | Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. | Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng |
| 2022 | ICRA | Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. | Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang |
| 2022 | SEKE | Postoperative MPA-AUC0-12h Prediction for Kidney Transplant Recipients based on Few-shot Learning. | Qiao Pan, Xinyu Yu, Xinyu Li, Kun Shao |
| 2021 | UIC | Deep Personalized Prediction of MPA-AUC with Attentive Interactions in Kidney Transplantation. | Dehua Chen, Liping Zhang, Wei Zhang, Kun Shao, Weiliang Zhao, Xiaokang Zhou |
| 2020 | CoRL | SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. | Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang |
| 2020 | ICML | Multi-Agent Determinantal Q-Learning. | Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang |
| 2020 | IJCNN | Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. | Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao |
| 2018 | IJCNN | Visual Navigation with Actor-Critic Deep Reinforcement Learning. | Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang |
| 2007 | SNPD | Domain-Analysis in Software Reuse - Application in Warehouse Management. | Youxin Meng, Aiguang Young, Xianwei Wang, Kun Shao |
| 2001 | SMC | A Parliamentary Architecture of multi-agent system. | Zhiyonq Sun, Zongtian Liu, Kun Shao |