A Parliamentary Architecture of multi-agent system. - Zhiyonq Sun; Zongtian Liu; Kun Shao (SMC, 2001)

Autoscoring: an automated clustering software system for population SNP scores. - Jianxin Meng; Kun Shao (ACM Southeast Regional Conference, 2007)

Domain-Analysis in Software Reuse - Application in Warehouse Management. - Youxin Meng; Aiguang Young; Xianwei Wang; Kun Shao (SNPD (1), 2007)

Computer Science Education in China: A Curricular and Pedagogical Study. - Kun Shao; Peter E. Maher (FECS, 2009)

Making Advanced Computer Science Topics More Accessible through Interactive Technologies. - Kun Shao; Peter E. Maher (Interact. Technol. Smart Educ., 2012)

Daily Evaporative Fraction Parameterization Scheme Driven by Day-Night Differences in Surface Parameters: Improvement and Validation. - Jing Lu; Ronglin Tang; Huajun Tang; Zhao-Liang Li; Guoqing Zhou 001; Kun Shao; Yuyun Bi; Jélila Labed (Remote. Sens., 2014)

Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature. - Dianjun Zhang; Ronglin Tang; Wei Zhao 012; Bo-Hui Tang; Hua Wu 001; Kun Shao; Zhao-Liang Li (Remote. Sens., 2014)

Practical and accurate pinpointing of configuration errors using static analysis. - Zhen Dong 004; Artur Andrzejak 001; Kun Shao (ICSME, 2015)

面向决策的信任融合模型研究 (Research on Fusion Trust Model for Decision-making). - Pei Xu; Bin Lian; Kun Shao; Jun Chen; Ning An (计算机科学, 2015)

Estimation and Validation of Land Surface Temperatures from Chinese Second-Generation Polar-Orbit FY-3A VIRR Data. - Bo-Hui Tang; Kun Shao; Zhao-Liang Li; Hua Wu 001; Françoise Nerry; Guoqing Zhou 001 (Remote. Sens., 2015)

A Multi-Channel Method for Retrieving Surface Temperature for High-Emissivity Surfaces from Hyperspectral Thermal Infrared Images. - Xinke Zhong; Jélila Labed; Guoqing Zhou 001; Kun Shao; Zhao-Liang Li (Sensors, 2015)

Extension of the Generalized Split-Window Algorithm for Land Surface Temperature Retrieval to Atmospheres With Heavy Dust Aerosol Loading. - Xiwei Fan; Bo-Hui Tang; Hua Wu 001; Guangjian Yan; Zhao-Liang Li; Guoqing Zhou 001; Kun Shao; Yuyun Bi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Multiscale Validation of the 8-day MOD16 Evapotranspiration Product Using Flux Data Collected in China. - Ronglin Tang; Kun Shao; Zhao-Liang Li; Hua Wu 001; Bo-Hui Tang; Guoqing Zhou 001; Li Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

ADP with MCTS algorithm for Gomoku. - Zhentao Tang; Dongbin Zhao; Kun Shao; Le Lv (SSCI, 2016)

Deep reinforcement learning with experience replay based on SARSA. - Dongbin Zhao; Haitao Wang 029; Kun Shao; Yuanheng Zhu (SSCI, 2016)

Cooperative reinforcement learning for multiple units combat in starCraft. - Kun Shao; Yuanheng Zhu; Dongbin Zhao (SSCI, 2017)

An integrative framework for 3D cobb angle measurement on CT images. - Xing Huo; Jieqing Tan; Jun Qian; Li Cheng; Jue Hua Jing; Kun Shao; Bing Nan Li (Comput. Biol. Medicine, 2017)

Learning Battles in ViZDoom via Deep Reinforcement Learning. - Kun Shao; Dongbin Zhao; Nannan Li 003; Yuanheng Zhu (CIG, 2018)

Visual Navigation with Actor-Critic Deep Reinforcement Learning. - Kun Shao; Dongbin Zhao; Yuanheng Zhu; Qichao Zhang (IJCNN, 2018)

A Review of Computational Intelligence for StarCraft AI. - Zhentao Tang; Kun Shao; Yuanheng Zhu; Dong Li 016; Dongbin Zhao; Tingwen Huang (SSCI, 2018)

Morphology-based realization of a rapid scoliosis correction simulation system. - Kun Shao; Hao Wang 092; Bingnan Li; Dasheng Tian; Jue Hua Jing; Jieqing Tan; Xing Huo (Comput. Biol. Medicine, 2018)

Small sample image recognition using improved Convolutional Neural Network. - Jiajia Zhang; Kun Shao; Xing Luo (J. Vis. Commun. Image Represent., 2018)

A Cooperative Particle Swarm Optimization Algorithm Based on Greedy Disturbance. - Xing Huo; Fei Zhang; Chao Luo; Jieqing Tan; Kun Shao (PRCV (3), 2019)

A Survey of Deep Reinforcement Learning in Video Games. - Kun Shao; Zhentao Tang; Yuanheng Zhu; Nannan Li 003; Dongbin Zhao (CoRR, 2019)

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). - Xing Huo; Zhiwei Fei; Feng Zhao; Kun Shao (计算机科学, 2019)

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). - Changqi Liu; Kun Shao; Xing Huo; Dongyang Fan; Jieqing Tan (计算机科学, 2019)

Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. - Le Lv; Dongbin Zhao; Kun Shao (Soft Comput., 2019)

StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. - Kun Shao; Yuanheng Zhu; Dongbin Zhao (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

Multi-Agent Determinantal Q-Learning. - Yaodong Yang 001; Ying Wen 001; Jun Wang 012; Liheng Chen; Kun Shao; David Mguni; Weinan Zhang 001 (ICML, 2020)

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. - Kun Shao; Yuanheng Zhu; Zhentao Tang; Dongbin Zhao (IJCNN, 2020)

Unsupervised Graph Representation Learning With Variable Heat Kernel. - Yongjun Jing; Hao Wang 008; Kun Shao; Xing Huo; Yangyang Zhang 004 (IEEE Access, 2020)

An improved CapsNet applied to recognition of 3D vertebral images. - Hao Wang 008; Kun Shao; Xing Huo (Appl. Intell., 2020)

Automatic generation of pedicle contours in 3D vertebral models. - Xing Huo; Hao Wang 092; Kun Shao; Jue Hua Jing; Dasheng Tian; Li Cheng (Comput. Biol. Medicine, 2020)

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. - Yaodong Yang 002; Jianye Hao; Ben Liao; Kun Shao; Guangyong Chen; Wulong Liu; Hongyao Tang (CoRR, 2020)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Black-Box Universal Adversarial Attack on Text Classifiers. - Yu Zhang; Kun Shao; Junan Yang; Hui Liu 032 (ACCC, 2021)

Postoperative MPA-AUC Prediction for Kidney Transplant Recipients Based on Model Interpretability Technique. - Qiao Pan; Xinyu Li; Kun Shao (BDE, 2021)

Interpretable Analysis of NARX Neural Network Prediction MPA-AUC. - Dehua Chen; Wei Zhang 098; Kun Shao; Weiliang Zhao (CAIBDA, 2021)

Deep Personalized Prediction of MPA-AUC with Attentive Interactions in Kidney Transplantation. - Dehua Chen; Liping Zhang; Wei Zhang; Kun Shao; Weiliang Zhao; Xiaokang Zhou (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

BDDR: An Effective Defense Against Textual Backdoor Attacks. - Kun Shao; Junan Yang; Yang Ai; Hui Liu 032; Yu Zhang (Comput. Secur., 2021)

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Tianze Zhou; Fubiao Zhang; Kun Shao; Kai Li 022; Wenhan Huang; Jun Luo 009; Weixun Wang; Yaodong Yang 002; Hangyu Mao; Bin Wang 034; Dong Li 016; Wulong Liu; et al. (CoRR, 2021)

Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction. - Yongjun Jing; Hao Wang 008; Kun Shao; Xing Huo (Symmetry, 2021)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (AAMAS, 2022)

Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. - Zipeng Dai; Tianze Zhou; Kun Shao; David Henry Mguni; Bin Wang 034; Jianye Hao (CoRL, 2022)

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. - Yixu Gao; Kun Shao; Zhijian Duan 001; Zhongyu Wei; Dong Li 016; Bin Wang 034; Mengchen Zhao; Jianye Hao (DASFAA (3), 2022)

Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. - Xinyi Zhou 010; Junjie Ye; Chak-Wa Pui; Kun Shao; Guangliang Zhang; Bin Wang 034; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (ICCAD, 2022)

Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. - Jiayu Miao; Tianze Zhou; Kun Shao; Ming Zhou 006; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICRA, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Matthew E. Taylor; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (NeurIPS, 2022)

Postoperative MPA-AUC0-12h Prediction for Kidney Transplant Recipients based on Few-shot Learning. - Qiao Pan; Xinyu Yu; Xinyu Li; Kun Shao (SEKE, 2022)

The triggers that open the NLP model backdoors are hidden in the adversarial samples. - Kun Shao; Yu Zhang; Junan Yang; Xiaoshuai Li; Hui Liu 032 (Comput. Secur., 2022)

Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. - Taher Jafferjee; Juliusz Krysztof Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (CoRR, 2022)

Infrared and Visible Image Fusion with Significant Target Enhancement. - Xing Huo; Yinping Deng; Kun Shao (Entropy, 2022)

Tree-Like Branching Network for Single Image Super-Resolution with Divide-and-Conquer. - Ying Zhao; Zeliang Zhao; Kun Shao; Shu Zhan (J. Circuits Syst. Comput., 2022)

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; et al. (AAAI, 2023)

Traj-MAE: Masked Autoencoders for Trajectory Prediction. - Hao Chen 011; Jiaze Wang; Kun Shao; Furui Liu; Jianye Hao; Chenyong Guan; Guangyong Chen; Pheng-Ann Heng (ICCV, 2023)

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 012 (ICLR, 2023)

ChessGPT: Bridging Policy Learning and Language Modeling. - Xidong Feng; Yicheng Luo; Ziyan Wang; Hongrui Tang; Mengyue Yang; Kun Shao; David Mguni; Yali Du 001; Jun Wang 012 (NeurIPS, 2023)

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. - Filippos Christianos; Georgios Papoudakis; Matthieu Zimmer; Thomas Coste; Zhihao Wu; Jingxuan Chen; Khyati Khandelwal; James Doran; Xidong Feng; Jiacheng Liu; Zheng Xiong; Yicheng Luo; et al. (CoRR, 2023)

A Textual Backdoor Defense Method Based on Deep Feature Classification. - Kun Shao; Jun-an Yang; Pengjiang Hu; Xiaoshuai Li (Entropy, 2023)

Dynamic Heat Dissipation Model of Distributed Parameters for Oil-Directed and Air-Forced Traction Transformers and Its Experimental Validation. - Yonghua You; Kun Shao; Zhengming Yi (Entropy, 2023)

A reputation calculation model based on review behavior. - Bowen Jiang; Juan Shen; Kun Shao (ICAICE, 2024)

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. - Zheng Xiong; Risto Vuorio; Jacob Beck; Matthieu Zimmer; Kun Shao; Shimon Whiteson (ICML, 2024)

SFANet: Spatial-Frequency Attention Network for Weather Forecasting. - Jiaze Wang; Hao Chen 011; Hongcan Xu; Jinpeng Li 004; Bowen Wang; Kun Shao; Furui Liu; Huaxi Chen; Guangyong Chen; Pheng-Ann Heng (CoRR, 2024)

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. - 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; et al. (CoRR, 2024)

Learning Precise Affordances from Egocentric Videos for Robotic Manipulation. - Gen Li 008; Nikolaos Tsagkas; Jifei Song; Ruaridh Mon-Williams; Sethu Vijayakumar; Kun Shao; Laura Sevilla-Lara (CoRR, 2024)

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents. - Taiyi Wang; Zhihao Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2024)

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. - Antoine Grosnit; Alexandre Maraval; James Doran; Giuseppe Paolo; Albert Thomas 001; Refinath Shahul Hameed Nabeezath Beevi; Jonas Gonzalez; Khyati Khandelwal; Ignacio Iacobacci; Abdelhakim Benechehab; Hamza Cherkaoui; Youssef Attia El Hili; et al. (CoRR, 2024)

GUI Agents with Foundation Models: A Comprehensive Survey. - Shuai Wang 020; Weiwen Liu; Jingxuan Chen; Weinan Gan; Xingshan Zeng; Shuai Yu; Xinlong Hao; Kun Shao; Yasheng Wang; Ruiming Tang (CoRR, 2024)

A survey on algorithms for Nash equilibria in finite normal-form games. - Hanyu Li; Wenhan Huang; Zhijian Duan 001; David Henry Mguni; Kun Shao; Jun Wang 012; Xiaotie Deng (Comput. Sci. Rev., 2024)

Automatic Vertebral Rotation Angle Measurement of 3D Vertebrae Based on an Improved Transformer Network. - Xing Huo; Hao Li; Kun Shao (Entropy, 2024)

Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. - Tianze Zhou; Fubiao Zhang; Kun Shao; Zipeng Dai; Kai Li 022; Wenhan Huang; Weixun Wang; Bin Wang 034; Dong Li 016; Wulong Liu; Jianye Hao (IEEE Trans. Games, 2024)

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 020; Kaiwen Zhou; Rui Shao 001; et al. (ICLR, 2025)

Lightweight Neural App Control. - Filippos Christianos; Georgios Papoudakis; Thomas Coste; Jianye Hao; Jun Wang 012; Kun Shao (ICLR, 2025)

DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent. - Taiyi Wang; Zhihao Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (ICLR, 2025)

Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction. - Taher Jafferjee; Juliusz Ziomek; Tianpei Yang; Zipeng Dai; Jianhong Wang; Matthew E. Taylor; Kun Shao; Jun Wang 012; David Mguni (AAMAS, 2025)

AppVLM: A Lightweight Vision Language Model for Online App Control. - Georgios Papoudakis; Thomas Coste; Zhihao Wu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

VSC-RL: Advancing Autonomous Vision-Language Agents with Variational Subgoal-Conditioned Reinforcement Learning. - Qingyuan Wu; Jianheng Liu; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. - Shulin Huang; Linyi Yang; Yan Song 003; Shuang Chen; Leyang Cui; Ziyu Wan; Qingcheng Zeng; Ying Wen 001; Kun Shao; Weinan Zhang 001; Jun Wang 012; Yue Zhang 004 (CoRR, 2025)

VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT. - Zhuo Zhi; Qiangqiang Wu; Minghe shen; Wenbo Li; Yinchuan Li; Kun Shao; Kaiwen Zhou (CoRR, 2025)

ViMo: A Generative Visual GUI World Model for App Agent. - Dezhao Luo; Bohan Tang; Kang Li; Georgios Papoudakis; Jifei Song; Shaogang Gong; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search. - Yu Li; Lehui Li; Zhihao Wu; Qingmin Liao; Jianye Hao; Kun Shao; Fengli Xu; Yong Li 008 (CoRR, 2025)

Beyond Syntax: Action Semantics Learning for App Agents. - Bohan Tang; Dezhao Luo; Jingxuan Chen; Shaogang Gong; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

Deep Research Agents: A Systematic Examination And Roadmap. - Yuxuan Huang; Yihang Chen; Haozheng Zhang; Kang Li; Meng Fang; Linyi Yang; Xiaoguang Li; Lifeng Shang; Songcen Xu; Jianye Hao; Kun Shao; Jun Wang 012 (CoRR, 2025)

SpatialViz-Bench: Automatically Generated Spatial Visualization Reasoning Tasks for MLLMs. - Siting Wang; Luoyang Sun; Cheng Deng; Kun Shao; Minnan Pei; Zheng Tian 002; Haifeng Zhang 002; Jun Wang 012 (CoRR, 2025)

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding. - Jian Hu; Zixu Cheng; Shaogang Gong; Isabel Guan; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)