Kun Shao - RankMe

110 papers A* 15A 4B 3C 1Misc 2Journal 70Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search. WWW Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng
2026	A*	`conf`	Adaptive Theory of Mind for LLM-based Multi-Agent Coordination. AAAI Chunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao, Chen Chu, Hao Guo, Danyang Jia, Zhen Wang, Shuyue Hu
2026	J	`jnl`	Adaptive Theory of Mind for LLM-based Multi-Agent Coordination. CoRR Chunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao, Chen Chu, Hao Guo, Danyang Jia, Zhen Wang, Shuyue Hu
2026	A*	`conf`	AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search. AAAI Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu
2026	J	`jnl`	Don't Break the Boundary: Continual Unlearning for OOD Detection Based on Free Energy Repulsion. CoRR Ningkang Peng, Kun Shao, Jingyang Mao, Linjing Qian, Xiaoqian Peng, Xichen Yang, Yanhui Gu
2026	J	`jnl`	K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control. CoRR Zhe Wu, Donglin Mo, Hongjin Lu, Junliang Xing, Jianheng Liu, Yuheng Jing, Kai Li, Kun Shao, Jianye Hao, Yuanchun Shi
2026	A*	`conf`	ResMAS: Resilience Optimization in LLM-based Multi-agent Systems. AAAI Zhilun Zhou, Zihan Liu, Jiahe Liu, Qingyu Shao, Yihan Wang, Kun Shao, Depeng Jin, Fengli Xu
2026	J	`jnl`	ResMAS: Resilience Optimization in LLM-based Multi-agent Systems. CoRR Zhilun Zhou, Zihan Liu, Jiahe Liu, Qingyu Shao, Yihan Wang, Kun Shao, Depeng Jin, Fengli Xu
2026	J	`jnl`	TAME: A Trustworthy Test-Time Evolution of Agent Memory with Systematic Benchmarking. CoRR Yu Cheng, Jiuan Zhou, Yongkang Hu, Yihang Chen, Huichi Zhou, Mingang Chen, Zhizhong Zhang, Kun Shao, Yuan Xie, Zhaoxia Yin
2025	J	`jnl`	Adapting Like Humans: A Metacognitive Agent with Test-time Reasoning. CoRR Yang Li, Zhiyuan He, Yuxuan Huang, Zhuhanling Xiao, Chao Yu, Meng Fang, Kun Shao, Jun Wang
2025	J	`jnl`	AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search. CoRR Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu, Yong Li
2025	J	`jnl`	AppVLM: A Lightweight Vision Language Model for Online App Control. CoRR Georgios Papoudakis, Thomas Coste, Zhihao Wu, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	Beyond Syntax: Action Semantics Learning for App Agents. CoRR Bohan Tang, Dezhao Luo, Jingxuan Chen, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	Deep Research Agents: A Systematic Examination And Roadmap. CoRR Yuxuan Huang, Yihang Chen, Haozheng Zhang, Kang Li, Meng Fang, Linyi Yang, Xiaoguang Li, Lifeng Shang, Songcen Xu, Jianye Hao, Kun Shao, Jun Wang
2025	A*	`conf`	DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent. ICLR Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	Hi-Agent: Hierarchical Vision-Language Agents for Mobile Device Control. CoRR Zhe Wu, Hongjin Lu, Junliang Xing, Changhao Zhang, Yin Zhu, Yuhao Yang, Yuheng Jing, Kai Li, Kun Shao, Jianye Hao, Jun Wang, Yuanchun Shi
2025	A*	`conf`	Lightweight Neural App Control. ICLR Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	Memento: Fine-tuning LLM Agents without Fine-tuning LLMs. CoRR Huichi Zhou, Yihang Chen, Siyuan Guo, Xue Yan, Kin Hei Lee, Zihan Wang, Ka Yiu Lee, Guchun Zhang, Kun Shao, Linyi Yang, Jun Wang
2025	J	`jnl`	PerPilot: Personalizing VLM-based Mobile Agents via Memory and Exploration. CoRR Xin Wang, Zhiyao Cui, Hao Li, Ya Zeng, Chenxu Wang, Ruiqi Song, Yihang Chen, Kun Shao, Qiaosheng Zhang, Jinzhuo Liu, Siyue Ren, Shuyue Hu, Zhen Wang
2025	J	`jnl`	See-Control: A Multimodal Agent Framework for Smartphone Interaction with a Robotic Arm. CoRR Haoyu Zhao, Weizhong Ding, Yuhao Yang, Zheng Tian, Linyi Yang, Kun Shao, Jun Wang
2025	A*	`conf`	Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. ICLR 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	J	`jnl`	SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs. CoRR Siting Wang, Luoyang Sun, Cheng Deng, Kun Shao, Minnan Pei, Zheng Tian, Haifeng Zhang, Jun Wang
2025	J	`jnl`	Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control. CoRR Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2025	A	`conf`	Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. AAMAS Taher Jafferjee, Juliusz Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2025	J	`jnl`	ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. CoRR Shulin Huang, Linyi Yang, Yan Song, Shuang Chen, Leyang Cui, Ziyu Wan, Qingcheng Zeng, Ying Wen, Kun Shao, Weinan Zhang, Jun Wang, Yue Zhang
2025	J	`jnl`	Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding. CoRR Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning. CoRR Qingyuan Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	ViMo: A Generative Visual GUI World Model for App Agent. CoRR Dezhao Luo, Bohan Tang, Kang Li, Georgios Papoudakis, Jifei Song, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao
2025	J	`jnl`	VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT. CoRR Zhuo Zhi, Qiangqiang Wu, Minghe shen, Wenbo Li, Yinchuan Li, Kun Shao, Kaiwen Zhou
2024	—	`conf`	A reputation calculation model based on review behavior. ICAICE Bowen Jiang, Juan Shen, Kun Shao
2024	J	`jnl`	A survey on algorithms for Nash equilibria in finite normal-form games. Comput. Sci. Rev. Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
2024	J	`jnl`	Automatic Vertebral Rotation Angle Measurement of 3D Vertebrae Based on an Improved Transformer Network. Entropy Xing Huo, Hao Li, Kun Shao
2024	J	`jnl`	Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2024	J	`jnl`	DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents. CoRR Taiyi Wang, Zhihao Wu, Jianheng Liu, Jianye Hao, Jun Wang, Kun Shao
2024	A*	`conf`	Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. ICML Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024	J	`jnl`	Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. CoRR Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson
2024	J	`jnl`	GUI Agents with Foundation Models: A Comprehensive Survey. CoRR Shuai Wang, Weiwen Liu, Jingxuan Chen, Weinan Gan, Xingshan Zeng, Shuai Yu, Xinlong Hao, Kun Shao, Yasheng Wang, Ruiming Tang
2024	J	`jnl`	Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. CoRR Antoine Grosnit, Alexandre Maraval, James Doran, Giuseppe Paolo, Albert Thomas, Refinath Shahul Hameed Nabeezath Beevi, Jonas Gonzalez, Khyati Khandelwal, Ignacio Iacobacci, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang
2024	J	`jnl`	Learning Precise Affordances from Egocentric Videos for Robotic Manipulation. CoRR Gen Li, Nikolaos Tsagkas, Jifei Song, Ruaridh Mon-Williams, Sethu Vijayakumar, Kun Shao, Laura Sevilla-Lara
2024	J	`jnl`	Lightweight Neural App Control. CoRR Filippos Christianos, Georgios Papoudakis, Thomas Coste, Jianye Hao, Jun Wang, Kun Shao
2024	J	`jnl`	ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
2024	J	`jnl`	SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng
2024	J	`jnl`	SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation. CoRR 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
2023	J	`jnl`	A Textual Backdoor Defense Method Based on Deep Feature Classification. Entropy Kun Shao, Jun-an Yang, Pengjiang Hu, Xiaoshuai Li
2023	J	`jnl`	A survey on algorithms for Nash equilibria in finite normal-form games. CoRR Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
2023	A*	`conf`	ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	J	`jnl`	ChessGPT: Bridging Policy Learning and Language Modeling. CoRR Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
2023	J	`jnl`	Dynamic Heat Dissipation Model of Distributed Parameters for Oil-Directed and Air-Forced Traction Transformers and Its Experimental Validation. Entropy Yonghua You, Kun Shao, Zhengming Yi
2023	A*	`conf`	Learning to Shape Rewards Using a Game of Two Partners. AAAI 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	J	`jnl`	Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR Filippos Christianos, Georgios Papoudakis, Matthieu Zimmer, Thomas Coste, Zhihao Wu, Jingxuan Chen, Khyati Khandelwal, James Doran, Xidong Feng, Jiacheng Liu, Zheng Xiong, Yicheng Luo, Jianye Hao, Kun Shao, Haitham Bou-Ammar, Jun Wang
2023	A*	`conf`	Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
2023	A*	`conf`	Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2023	J	`jnl`	Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng
2022	—	`conf`	Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. DASFAA (3) Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao
2022	A	`conf`	Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2022	J	`jnl`	Infrared and Visible Image Fusion with Significant Target Enhancement. Entropy Xing Huo, Yinping Deng, Kun Shao
2022	A	`conf`	Multiagent Q-learning with Sub-Team Coordination. AAMAS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	A*	`conf`	Multiagent Q-learning with Sub-Team Coordination. NeurIPS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	C	`conf`	Postoperative MPA-AUC0-12h Prediction for Kidney Transplant Recipients based on Few-shot Learning. SEKE Qiao Pan, Xinyu Yu, Xinyu Li, Kun Shao
2022	A*	`conf`	Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni
2022	Misc	`conf`	Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. CoRL Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao
2022	J	`jnl`	The triggers that open the NLP model backdoors are hidden in the adversarial samples. Comput. Secur. Kun Shao, Yu Zhang, Junan Yang, Xiaoshuai Li, Hui Liu
2022	J	`jnl`	Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang
2022	J	`jnl`	Tree-Like Branching Network for Single Image Super-Resolution with Divide-and-Conquer. J. Circuits Syst. Comput. Ying Zhao, Zeliang Zhao, Kun Shao, Shu Zhan
2021	J	`jnl`	BDDR: An Effective Defense Against Textual Backdoor Attacks. Comput. Secur. Kun Shao, Junan Yang, Yang Ai, Hui Liu, Yu Zhang
2021	—	`conf`	Black-Box Universal Adversarial Attack on Text Classifiers. ACCC Yu Zhang, Kun Shao, Junan Yang, Hui Liu
2021	J	`jnl`	Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2021	—	`conf`	Deep Personalized Prediction of MPA-AUC with Attentive Interactions in Kidney Transplantation. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI Dehua Chen, Liping Zhang, Wei Zhang, Kun Shao, Weiliang Zhao, Xiaokang Zhou
2021	—	`conf`	Interpretable Analysis of NARX Neural Network Prediction MPA-AUC. CAIBDA Dehua Chen, Wei Zhang, Kun Shao, Weiliang Zhao
2021	—	`conf`	Postoperative MPA-AUC Prediction for Kidney Transplant Recipients Based on Model Interpretability Technique. BDE Qiao Pan, Xinyu Li, Kun Shao
2021	J	`jnl`	Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction. Symmetry Yongjun Jing, Hao Wang, Kun Shao, Xing Huo
2020	J	`jnl`	An improved CapsNet applied to recognition of 3D vertebral images. Appl. Intell. Hao Wang, Kun Shao, Xing Huo
2020	J	`jnl`	Automatic generation of pedicle contours in 3D vertebral models. Comput. Biol. Medicine Xing Huo, Hao Wang, Kun Shao, Jue Hua Jing, Dasheng Tian, Li Cheng
2020	B	`conf`	Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao
2020	A*	`conf`	Multi-Agent Determinantal Q-Learning. ICML Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang
2020	J	`jnl`	Multi-Agent Determinantal Q-Learning. CoRR Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang
2020	J	`jnl`	Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang
2020	Misc	`conf`	SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 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	J	`jnl`	SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang
2020	J	`jnl`	Unsupervised Graph Representation Learning With Variable Heat Kernel. IEEE Access Yongjun Jing, Hao Wang, Kun Shao, Xing Huo, Yangyang Zhang
2019	—	`conf`	A Cooperative Particle Swarm Optimization Algorithm Based on Greedy Disturbance. PRCV (3) Xing Huo, Fei Zhang, Chao Luo, Jieqing Tan, Kun Shao
2019	J	`jnl`	A Survey of Deep Reinforcement Learning in Video Games. CoRR Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao
2019	J	`jnl`	Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. Soft Comput. Le Lv, Dongbin Zhao, Kun Shao
2019	J	`jnl`	StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. Kun Shao, Yuanheng Zhu, Dongbin Zhao
2019	J	`jnl`	基于加权质量评价函数的K-means图像分割算法 (K-means Image Segmentation Algorithm Based on Weighted Quality Evaluation Function). 计算机科学 Changqi Liu, Kun Shao, Xing Huo, Dongyang Fan, Jieqing Tan
2019	J	`jnl`	深度学习在驾驶员安全带检测中的应用 (Application of Deep Learning in Driver's Safety Belt Detection). 计算机科学 Xing Huo, Zhiwei Fei, Feng Zhao, Kun Shao
2018	—	`conf`	A Review of Computational Intelligence for StarCraft AI. SSCI Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang
2018	—	`conf`	Learning Battles in ViZDoom via Deep Reinforcement Learning. CIG Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu
2018	J	`jnl`	Morphology-based realization of a rapid scoliosis correction simulation system. Comput. Biol. Medicine Kun Shao, Hao Wang, Bingnan Li, Dasheng Tian, Jue Hua Jing, Jieqing Tan, Xing Huo
2018	J	`jnl`	Small sample image recognition using improved Convolutional Neural Network. J. Vis. Commun. Image Represent. Jiajia Zhang, Kun Shao, Xing Luo
2018	J	`jnl`	StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning. CoRR Kun Shao, Yuanheng Zhu, Dongbin Zhao
2018	B	`conf`	Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang
2017	J	`jnl`	An integrative framework for 3D cobb angle measurement on CT images. Comput. Biol. Medicine Xing Huo, Jieqing Tan, Jun Qian, Li Cheng, Jue Hua Jing, Kun Shao, Bing Nan Li
2017	—	`conf`	Cooperative reinforcement learning for multiple units combat in starCraft. SSCI Kun Shao, Yuanheng Zhu, Dongbin Zhao
2016	—	`conf`	ADP with MCTS algorithm for Gomoku. SSCI Zhentao Tang, Dongbin Zhao, Kun Shao, Le Lv
2016	—	`conf`	Deep reinforcement learning with experience replay based on SARSA. SSCI Dongbin Zhao, Haitao Wang, Kun Shao, Yuanheng Zhu
2015	J	`jnl`	A Multi-Channel Method for Retrieving Surface Temperature for High-Emissivity Surfaces from Hyperspectral Thermal Infrared Images. Sensors Xinke Zhong, Jélila Labed, Guoqing Zhou, Kun Shao, Zhao-Liang Li
2015	J	`jnl`	Estimation and Validation of Land Surface Temperatures from Chinese Second-Generation Polar-Orbit FY-3A VIRR Data. Remote. Sens. Bo-Hui Tang, Kun Shao, Zhao-Liang Li, Hua Wu, Françoise Nerry, Guoqing Zhou
2015	J	`jnl`	Extension of the Generalized Split-Window Algorithm for Land Surface Temperature Retrieval to Atmospheres With Heavy Dust Aerosol Loading. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiwei Fan, Bo-Hui Tang, Hua Wu, Guangjian Yan, Zhao-Liang Li, Guoqing Zhou, Kun Shao, Yuyun Bi
2015	J	`jnl`	Multiscale Validation of the 8-day MOD16 Evapotranspiration Product Using Flux Data Collected in China. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ronglin Tang, Kun Shao, Zhao-Liang Li, Hua Wu, Bo-Hui Tang, Guoqing Zhou, Li Zhang
2015	A	`conf`	Practical and accurate pinpointing of configuration errors using static analysis. ICSME Zhen Dong, Artur Andrzejak, Kun Shao
2015	J	`jnl`	面向决策的信任融合模型研究 (Research on Fusion Trust Model for Decision-making). 计算机科学 Pei Xu, Bin Lian, Kun Shao, Jun Chen, Ning An
2014	J	`jnl`	Daily Evaporative Fraction Parameterization Scheme Driven by Day-Night Differences in Surface Parameters: Improvement and Validation. Remote. Sens. Jing Lu, Ronglin Tang, Huajun Tang, Zhao-Liang Li, Guoqing Zhou, Kun Shao, Yuyun Bi, Jélila Labed
2014	J	`jnl`	Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature. Remote. Sens. Dianjun Zhang, Ronglin Tang, Wei Zhao, Bo-Hui Tang, Hua Wu, Kun Shao, Zhao-Liang Li
2012	J	`jnl`	Making Advanced Computer Science Topics More Accessible through Interactive Technologies. Interact. Technol. Smart Educ. Kun Shao, Peter E. Maher
2009	—	`conf`	Computer Science Education in China: A Curricular and Pedagogical Study. FECS Kun Shao, Peter E. Maher
2007	—	`conf`	Autoscoring: an automated clustering software system for population SNP scores. ACM Southeast Regional Conference Jianxin Meng, Kun Shao
2007	—	`conf`	Domain-Analysis in Software Reuse - Application in Warehouse Management. SNPD (1) Youxin Meng, Aiguang Young, Xianwei Wang, Kun Shao
2001	B	`conf`	A Parliamentary Architecture of multi-agent system. SMC Zhiyonq Sun, Zongtian Liu, Kun Shao