Job and Candidate Recommendation with Big Data Support: A Contextual Online Learning Approach. - Shaokang Dong; Zijian Lei; Pan Zhou 001; Kaigui Bian; Guanghui Liu 001 (GLOBECOM, 2017)

Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks. - Wenbo Chen 001; Pan Zhou 001; Shaokang Dong; Shimin Gong; Menglan Hu; Kehao Wang 001; Dapeng Oliver Wu (IEEE Access, 2018)

Measuring Structural Similarities in Finite MDPs. - Hao Wang 013; Shaokang Dong; Ling Shao 001 (IJCAI, 2019)

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. - Pinzhuo Tian; Lei Qi 001; Shaokang Dong; Yinghuan Shi; Yang Gao 001 (IJCAI, 2020)

DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning. - Chao Li; Yujing Hu; Pinzhuo Tian; Shaokang Dong; Yang Gao 001 (PRICAI (3), 2022)

Application of Artificial Intelligence in an Unsupervised Algorithm for Trajectory Segmentation Based on Multiple Motion Features. - Wenjin Xu; Shaokang Dong (Wirel. Commun. Mob. Comput., 2022)

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)

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. - Chao Li; Yupeng Zhang; Jianqi Wang; Yujing Hu; Shaokang Dong; Wenbin Li; Tangjie Lv; Changjie Fan; Yang Gao 001 (AAAI, 2024)

Multi-Agent Exploration via Self-Learning and Social Learning. - Shaokang Dong; Chao Li; Wubing Chen; Hongye Cao; Wenbin Li; Yang Gao 001 (ICASSP, 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)

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)

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)

A Novel Multiscale Contrastive Learning Network for Fine-Grained Ocean Ship Classification. - Shaokang Dong; Jiangfan Feng; Dongxu Fang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

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)

Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning. - Hongye Cao; Fan Feng; Meng Fang; Shaokang Dong; Tianpei Yang; Jing Huo; Yang Gao 001 (ICLR, 2025)

Hierarchical feature integration and fusion for remote sensing visual question answering. - Jiangfan Feng; Shifeng Li; Shaokang Dong (Displays, 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)

Towards Empowerment Gain through Causal Structure Learning in Model-Based RL. - Hongye Cao; Fan Feng; Meng Fang; Shaokang Dong; Tianpei Yang; Jing Huo; Yang Gao 001 (CoRR, 2025)

A question-type guided and progressive self-attention network for remote sensing visual question answering. - Jiangfan Feng; Hui Wang; Shaokang Dong (Earth Sci. Informatics, 2025)

Speech-Language Models with Decoupled Tokenizers and Multi-Token Prediction. - Xiaoran Fan; Zhichao Sun; Yangfan Gao; Jingfei Xiong; Hang Yan 001; Yifei Cao; Jiajun Sun; Shuo Li; Zhihao Zhang 002; Zhiheng Xi; Yuhao Zhou; Senjie Jin; et al. (CoRR, 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)

MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning. - Liujian Tang; Shaokang Dong; Yijia Huang; Minqi Xiang; Hongtao Ruan; Bin Wang; Shuo Li; Zhiheng Xi; Zhihui Cao; Hailiang Pang; Heng Kong; He Yang; et al. (CoRR, 2025)