Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. - Shangdong Yang; Yang Gao 001; Bo An 001; Hao Wang 013; Xingguo Chen (AAAI, 2016)

Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering. - Chenyu Zhang; Hao Wang 013; Shangdong Yang; Yang Gao 001 (IDEAL, 2016)

An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward. - Shangdong Yang; Hao Wang 013; Yang Gao 001; Xingguo Chen (AAMAS, 2018)

A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions. - Chenyu Zhang; Hao Wang 013; Shangdong Yang; Yang Gao 001 (PAKDD (2), 2019)

Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions. - Shangdong Yang; Hao Wang 013; Chenyu Zhang; Yang Gao 001 (IEEE Intell. Syst., 2020)

An Optimal Algorithm for the Stochastic Bandits While Knowing the Near-Optimal Mean Reward. - Shangdong Yang; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

GUARD: Multigranularity-based Unsupervised Anomaly Detection Algorithm for Multivariate Time Series. - Fan Meng; Qunli Yang; Zhengda He; Shangdong Yang; Weidong Tang (CCIS, 2022)

Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation. - Xiao Liu; Shuyang Liu; Wenbin Li 006; Shangdong Yang; Yang Gao 001 (CoRR, 2022)

Learning Credit Assignment for Cooperative Reinforcement Learning. - Wubing Chen; Wenbin Li 006; Xiao Liu; Shangdong Yang (CoRR, 2022)

New Galois hulls of generalized Reed-Solomon codes. - Yansheng Wu; Chengju Li; Shangdong Yang (Finite Fields Their Appl., 2022)

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. - Wubing Chen; Wenbin Li 006; Xiao Liu; Shangdong Yang; Yang Gao 001 (AAAI, 2023)

Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. - Hongye Cao; Shangdong Yang; Jing Huo; Xingguo Chen; Yang Gao 001 (ECAI, 2023)

Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return. - Yunkai Zhuang; Shangdong Yang; Wenbin Li 006; Yang Gao 001 (ICASSP, 2023)

Modified Retrace for Off-Policy Temporal Difference Learning. - Xingguo Chen; Xingzhou Ma; Yang Li; Guang Yang; Shangdong Yang; Yang Gao 001 (UAI, 2023)

Effective Interpretable Policy Distillation via Critical Experience Point Identification. - Xiao Liu; Shuyang Liu; Bo An 001; Yang Gao 001; Shangdong Yang; Wenbin Li 006 (IEEE Intell. Syst., 2023)

Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems. - Shangdong Yang; Huihui Wang; Shaokang Dong; Xingguo Chen (Future Gener. Comput. Syst., 2023)

Online attentive kernel-based temporal difference learning. - Xingguo Chen; Guang Yang; Shangdong Yang; Huihui Wang; Shaokang Dong; Yang Gao 001 (Knowl. Based Syst., 2023)

Gaussian Blur Optimization Method: Linear Texture Filtering Under Gaussian Function Separation. - Shangdong Yang; Jue Wu (CISP-BMEI, 2024)

Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem. - Chao Li; Shaokang Dong; Shangdong Yang; Hongye Cao; Wenbin Li; Yang Gao 001 (ICASSP, 2024)

STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. - Chao Li; Yujing Hu; Shangdong Yang; Tangjie Lv; Changjie Fan; Wenbin Li; Chongjie Zhang; Yang Gao 001 (IJCAI, 2024)

A Variance Minimization Approach to Temporal-Difference Learning. - Xingguo Chen; Yu Gong; Shangdong Yang; Wenhao Wang (CoRR, 2024)

Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments. - Shaokang Dong; Chao Li; Shangdong Yang; Wenbin Li; Yang Gao 001 (Expert Syst. Appl., 2024)

Selective policy transfer in multi-agent systems with sparse interactions. - Yunkai Zhuang; Yong Liu 007; Shangdong Yang; Yang Gao 001 (Knowl. Based Syst., 2024)

Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. - Shaokang Dong; Chao Li; Shangdong Yang; Bo An 001; Wenbin Li 006; Yang Gao 001 (Neural Networks, 2024)

Modeling Rationality: Toward Better Performance Against Unknown Agents in Sequential Games. - Zhenxing Ge; Shangdong Yang; Pinzhuo Tian; Zixuan Chen; Yang Gao 001 (IEEE Trans. Cybern., 2024)

WToE: Learning When to Explore in Multiagent Reinforcement Learning. - Shaokang Dong; Hangyu Mao; Shangdong Yang; Shengyu Zhu 001; Wenbin Li 006; Jianye Hao; Yang Gao 001 (IEEE Trans. Cybern., 2024)

Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning. - Wubing Chen; Shangdong Yang; Wenbin Li 006; Yujing Hu; Xiao Liu; Yang Gao 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games. - Shaokang Dong; Chao Li; Shangdong Yang; Hongye Cao; Wanqi Yang; Yang Gao 001 (AAAI, 2025)

Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints. - Chao Li; Shaokang Dong; Shangdong Yang; Yujing Hu; Wenbin Li 006; Yang Gao 001 (Neural Networks, 2025)

Bellman Error Centering. - Xingguo Chen; Yu Gong; Shangdong Yang; Wenhao Wang (CoRR, 2025)

Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation. - Hongye Cao; Fan Feng; Jing Huo; Shangdong Yang; Meng Fang; Tianpei Yang; Yang Gao 001 (CoRR, 2025)

DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing. - Shengdong Han; Shangdong Yang; Xin Zhang; Yuxuan Li 004; Xiang Li 041; Jian Yang 003; Ming-Ming Cheng; Yimian Dai (CoRR, 2025)

AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios. - Yunhao Hou; Bochao Zou; Min Zhang; Ran Chen; Shangdong Yang; Yanmei Zhang; Junbao Zhuo; Siheng Chen; Jiansheng Chen; Huimin Ma 001 (CoRR, 2025)

Linear Complementary Dual Codes Constructed from Reinforcement Learning. - Yansheng Wu; Jin Ma; Shangdong Yang (J. Syst. Sci. Complex., 2025)

Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations. - Chao Li; Shaokang Dong; Shangdong Yang; Yujing Hu; Tianyu Ding; Wenbin Li 006; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

State Abstraction via Deep Supervised Hash Learning. - Guang Yang; Zheng Xu; Jing Huo; Shangdong Yang; Tianyu Ding; Xingguo Chen; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)