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Kun Shao
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2020 – today
- 2024
- [j28]Hanyu Li
, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng
A survey on algorithms for Nash equilibria in finite normal-form games. Comput. Sci. Rev. 51: 100613 (2024) - [j27]Xing Huo
Automatic Vertebral Rotation Angle Measurement of 3D Vertebrae Based on an Improved Transformer Network. Entropy 26(2): 97 (2024) - [j26]Tianze Zhou
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16(2): 352-364 (2024) - [c31]Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson:
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. ICML 2024 - [i16]Zheng Xiong, Risto Vuorio, Jacob Beck, Matthieu Zimmer, Kun Shao, Shimon Whiteson:
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. CoRR abs/2402.06570 (2024) - [i15]Jiaze Wang, Hao Chen, Hongcan Xu, Jinpeng Li, Bowen Wang, Kun Shao, Furui Liu, Huaxi Chen, Guangyong Chen, Pheng-Ann Heng:
SFANet: Spatial-Frequency Attention Network for Weather Forecasting. CoRR abs/2405.18849 (2024) - [i14]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:
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR abs/2406.19741 (2024) - [i13]Gen Li, Nikolaos Tsagkas, Jifei Song, Ruaridh Mon-Williams, Sethu Vijayakumar, Kun Shao, Laura Sevilla-Lara:
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation. CoRR abs/2408.10123 (2024) - 2023
- [j25]Kun Shao, Jun-an Yang, Pengjiang Hu, Xiaoshuai Li:
A Textual Backdoor Defense Method Based on Deep Feature Classification. Entropy 25(2): 220 (2023) - [j24]Yonghua You
Dynamic Heat Dissipation Model of Distributed Parameters for Oil-Directed and Air-Forced Traction Transformers and Its Experimental Validation. Entropy 25(3): 457 (2023) - [c30]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:
Learning to Shape Rewards Using a Game of Two Partners. AAAI 2023: 11604-11612 - [c29]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV 2023: 8317-8328 - [c28]David Henry Mguni, Aivar Sootla, Juliusz Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. ICLR 2023 - [c27]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. NeurIPS 2023 - [i12]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. CoRR abs/2303.06697 (2023) - [i11]Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang:
ChessGPT: Bridging Policy Learning and Language Modeling. CoRR abs/2306.09200 (2023) - [i10]Hanyu Li, Wenhan Huang, Zhijian Duan, David Henry Mguni, Kun Shao, Jun Wang, Xiaotie Deng:
A survey on algorithms for Nash equilibria in finite normal-form games. CoRR abs/2312.11063 (2023) - [i9]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:
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning. CoRR abs/2312.14878 (2023) - 2022
- [j23]Kun Shao
The triggers that open the NLP model backdoors are hidden in the adversarial samples. Comput. Secur. 118: 102730 (2022) - [j22]Xing Huo, Yinping Deng
Infrared and Visible Image Fusion with Significant Target Enhancement. Entropy 24(11): 1633 (2022) - [j21]Ying Zhao, Zeliang Zhao, Kun Shao, Shu Zhan
Tree-Like Branching Network for Single Image Super-Resolution with Divide-and-Conquer. J. Circuits Syst. Comput. 31(11): 2250192:1-2250192:18 (2022) - [c26]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. AAMAS 2022: 1630-1632 - [c25]Zipeng Dai, Tianze Zhou, Kun Shao, David Henry Mguni, Bin Wang, Jianye Hao:
Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System. CoRL 2022: 946-955 - [c24]Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao:
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. DASFAA (3) 2022: 389-400 - [c23]Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD 2022: 57:1-57:9 - [c22]Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA 2022: 7544-7550 - [c21]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. NeurIPS 2022 - [c20]Qiao Pan, Xinyu Yu, Xinyu Li, Kun Shao:
Postoperative MPA-AUC0-12h Prediction for Kidney Transplant Recipients based on Few-shot Learning. SEKE 2022: 628-633 - [i8]David Mguni, Aivar Sootla, Juliusz Krysztof Ziomek, Oliver Slumbers, Zipeng Dai, Kun Shao, Jun Wang:
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints. CoRR abs/2205.15953 (2022) - [i7]Taher Jafferjee, Juliusz Krysztof Ziomek, Tianpei Yang, Zipeng Dai, Jianhong Wang, Matthew E. Taylor, Kun Shao, Jun Wang, David Mguni:
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training. CoRR abs/2209.01054 (2022) - 2021
- [j20]Kun Shao
BDDR: An Effective Defense Against Textual Backdoor Attacks. Comput. Secur. 110: 102433 (2021) - [j19]Yongjun Jing
Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction. Symmetry 13(1): 115 (2021) - [c19]Yu Zhang, Kun Shao, Junan Yang, Hui Liu:
Black-Box Universal Adversarial Attack on Text Classifiers. ACCC 2021: 1-5 - [c18]Qiao Pan, Xinyu Li, Kun Shao:
Postoperative MPA-AUC Prediction for Kidney Transplant Recipients Based on Model Interpretability Technique. BDE 2021: 117-124 - [c17]Dehua Chen, Wei Zhang
Interpretable Analysis of NARX Neural Network Prediction MPA-AUC. CAIBDA 2021: 233-237 - [c16]Dehua Chen, Liping Zhang, Wei Zhang, Kun Shao, Weiliang Zhao, Xiaokang Zhou:
Deep Personalized Prediction of MPA-AUC with Attentive Interactions in Kidney Transplantation. SmartWorld/SCALCOM/UIC/ATC/IOP/SCI 2021: 193-202 - [i6]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:
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR abs/2106.00517 (2021) - 2020
- [j18]Yongjun Jing
Unsupervised Graph Representation Learning With Variable Heat Kernel. IEEE Access 8: 15800-15811 (2020) - [j17]Hao Wang, Kun Shao, Xing Huo:
An improved CapsNet applied to recognition of 3D vertebral images. Appl. Intell. 50(10): 3276-3290 (2020) - [j16]Xing Huo, Hao Wang
Automatic generation of pedicle contours in 3D vertebral models. Comput. Biol. Medicine 116: 103565 (2020) - [c15]Ming Zhou
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c14]Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. ICML 2020: 10757-10766 - [c13]Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao:
Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. IJCNN 2020: 1-8 - [i5]Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, Hongyao Tang:
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning. CoRR abs/2002.03939 (2020) - [i4]Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang:
Multi-Agent Determinantal Q-Learning. CoRR abs/2006.01482 (2020) - [i3]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
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020)
2010 – 2019
- 2019
- [j15]Changqi Liu, Kun Shao, Xing Huo, Dongyang Fan, Jieqing Tan:
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 46(6A): 158-160 (2019) - [j14]Xing Huo, Zhiwei Fei, Feng Zhao, Kun Shao:
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 46(6A): 182-187 (2019) - [j13]Le Lv, Dongbin Zhao
Deep sparse representation-based mid-level visual elements discovery in fine-grained classification. Soft Comput. 23(18): 8711-8722 (2019) - [j12]Kun Shao
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning. IEEE Trans. Emerg. Top. Comput. Intell. 3(1): 73-84 (2019) - [c12]Xing Huo, Fei Zhang, Chao Luo, Jieqing Tan, Kun Shao:
A Cooperative Particle Swarm Optimization Algorithm Based on Greedy Disturbance. PRCV (3) 2019: 52-61 - [i2]Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao:
A Survey of Deep Reinforcement Learning in Video Games. CoRR abs/1912.10944 (2019) - 2018
- [j11]Kun Shao, Hao Wang, Bingnan Li, Dasheng Tian, Jue Hua Jing, Jieqing Tan, Xing Huo:
Morphology-based realization of a rapid scoliosis correction simulation system. Comput. Biol. Medicine 94: 85-98 (2018) - [j10]Jiajia Zhang, Kun Shao, Xing Luo:
Small sample image recognition using improved Convolutional Neural Network. J. Vis. Commun. Image Represent. 55: 640-647 (2018) - [c11]Kun Shao, Dongbin Zhao, Nannan Li, Yuanheng Zhu:
Learning Battles in ViZDoom via Deep Reinforcement Learning. CIG 2018: 1-4 - [c10]Kun Shao, Dongbin Zhao, Yuanheng Zhu, Qichao Zhang:
Visual Navigation with Actor-Critic Deep Reinforcement Learning. IJCNN 2018: 1-6 - [c9]Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang:
A Review of Computational Intelligence for StarCraft AI. SSCI 2018: 1167-1173 - [i1]Kun Shao, Yuanheng Zhu, Dongbin Zhao:
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning. CoRR abs/1804.00810 (2018) - 2017
- [j9]Xing Huo, Jieqing Tan, Jun Qian, Li Cheng, Jue Hua Jing, Kun Shao, Bing Nan Li:
An integrative framework for 3D cobb angle measurement on CT images. Comput. Biol. Medicine 82: 111-118 (2017) - [c8]Kun Shao, Yuanheng Zhu, Dongbin Zhao:
Cooperative reinforcement learning for multiple units combat in starCraft. SSCI 2017: 1-6 - 2016
- [c7]Zhentao Tang, Dongbin Zhao, Kun Shao, Le Lv:
ADP with MCTS algorithm for Gomoku. SSCI 2016: 1-7 - [c6]Dongbin Zhao, Haitao Wang, Kun Shao, Yuanheng Zhu:
Deep reinforcement learning with experience replay based on SARSA. SSCI 2016: 1-6 - 2015
- [j8]Pei Xu, Bin Lian, Kun Shao, Jun Chen, Ning An:
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 42(12): 157-161 (2015) - [j7]Bo-Hui Tang, Kun Shao, Zhao-Liang Li, Hua Wu
Estimation and Validation of Land Surface Temperatures from Chinese Second-Generation Polar-Orbit FY-3A VIRR Data. Remote. Sens. 7(3): 3250-3273 (2015) - [j6]Xinke Zhong, Jélila Labed, Guoqing Zhou
A Multi-Channel Method for Retrieving Surface Temperature for High-Emissivity Surfaces from Hyperspectral Thermal Infrared Images. Sensors 15(6): 13406-13423 (2015) - [j5]Xiwei Fan, Bo-Hui Tang, Hua Wu, Guangjian Yan
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. 8(2): 825-834 (2015) - [j4]Ronglin Tang, Kun Shao, Zhao-Liang Li, Hua Wu, Bo-Hui Tang, Guoqing Zhou
Multiscale Validation of the 8-day MOD16 Evapotranspiration Product Using Flux Data Collected in China. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(4): 1478-1486 (2015) - [c5]Zhen Dong, Artur Andrzejak, Kun Shao:
Practical and accurate pinpointing of configuration errors using static analysis. ICSME 2015: 171-180 - 2014
- [j3]Dianjun Zhang, Ronglin Tang, Wei Zhao
Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature. Remote. Sens. 6(4): 3170-3187 (2014) - [j2]Jing Lu, Ronglin Tang, Huajun Tang, Zhao-Liang Li, Guoqing Zhou, Kun Shao, Yuyun Bi, Jélila Labed:
Daily Evaporative Fraction Parameterization Scheme Driven by Day-Night Differences in Surface Parameters: Improvement and Validation. Remote. Sens. 6(5): 4369-4390 (2014) - 2012
- [j1]Kun Shao, Peter E. Maher:
Making Advanced Computer Science Topics More Accessible through Interactive Technologies. Interact. Technol. Smart Educ. 9(2): 89-99 (2012)
2000 – 2009
- 2009
- [c4]Kun Shao, Peter E. Maher:
Computer Science Education in China: A Curricular and Pedagogical Study. FECS 2009: 118-122 - 2007
- [c3]Jianxin Meng, Kun Shao:
Autoscoring: an automated clustering software system for population SNP scores. ACM Southeast Regional Conference 2007: 256-259 - [c2]Youxin Meng, Aiguang Young, Xianwei Wang, Kun Shao:
Domain-Analysis in Software Reuse - Application in Warehouse Management. SNPD (1) 2007: 505-510 - 2001
- [c1]Zhiyonq Sun, Zongtian Liu, Kun Shao:
A Parliamentary Architecture of multi-agent system. SMC 2001: 598-603
Coauthor Index
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