Shaokang Dong

According to our database, Shaokang Dong authored at least 30 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MagicAgent: Towards Generalized Agent Planning.

Xuhui Ren, Shaokang Dong, Chen Yang, Qing Gao, Yunbin Zhao, Yongsheng Liu, Xinwei Geng, Xiang Li, Demei Yan, Yanqing Li, Chenhao Huang, Dingwei Zhu, Junjie Ye, Boxuan Yue, Yingnan Fu, Mengzhe Lv, Zezeng Feng, Boshen Zhou, Bocheng Wang, Xuanjing Huang, Yu-Gang Jiang, Tao Gui, Qi Zhang, Yunke Zhang

CoRR, February, 2026

A unified and efficient training framework for open-ended non-transitive games.

Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao

Neural Networks, 2026

MMKLTrack: Illumination-robust UAV tracking with progressive localization.

Kuan Yin, Jiangfan Feng, Shaokang Dong, Ying Long

Expert Syst. Appl., 2026

LMFENet: A hybrid local-global and multi-scale feature extraction network for oil spill type classification using sentinel-1 imagery.

Shaokang Dong, Jiangfan Feng

Expert Syst. Appl., 2026

What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study.

Xiaoran Fan, Zhichao Sun, Yangfan Gao, Jingfei Xiong, Hang Yan, Yifei Cao, Jiajun Sun, Shuo Li, Zhihao Zhang, Zhiheng Xi, Yuhao Zhou, Senjie Jin, Changhao Jiang, Junjie Ye, Ming Zhang, Rui Zheng, Zhenhua Han, Yunke Zhang, Demei Yan, Shaokang Dong, Tao Ji, Tao Gui

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, Mingxu Chai, Zhilin Gao, Xingyu Liu, Yingnan Fu, Jiaming Liu, Xuanjing Huang, Yu-Gang Jiang, Tao Gui, Qi Zhang, Kang Wang, Yunke Zhang, Yuran Wang

CoRR, August, 2025

Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations.

Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Tianyu Ding, Wenbin Li, Yang Gao

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Speech-Language Models with Decoupled Tokenizers and Multi-Token Prediction.

Xiaoran Fan, Zhichao Sun, Yangfan Gao, Jingfei Xiong, Hang Yan, Yifei Cao, Jiajun Sun, Shuo Li, Zhihao Zhang, Zhiheng Xi, Yuhao Zhou, Senjie Jin, Changhao Jiang, Junjie Ye, Ming Zhang, Rui Zheng, Zhenhua Han, Yunke Zhang, Demei Yan, Shaokang Dong, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, June, 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, April, 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

CoRR, February, 2025

Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints.

Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Wenbin Li, Yang Gao

Neural Networks, 2025

Hierarchical feature integration and fusion for remote sensing visual question answering.

Jiangfan Feng, Shifeng Li, Shaokang Dong

Displays, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation.

Daiye Miao, Yufang Liu, Jie Wang, Changzhi Sun, Yunke Zhang, Demei Yan, Shaokang Dong, Qi Zhang, Yuanbin Wu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games.

Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

WToE: Learning When to Explore in Multiagent Reinforcement Learning.

Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao

IEEE Trans. Cybern., August, 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

Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning.

Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao

Neural Networks, 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

Expert Syst. Appl., 2024

Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem.

Chao Li, Shaokang Dong, Shangdong Yang, Hongye Cao, Wenbin Li, Yang Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Agent Exploration via Self-Learning and Social Learning.

Shaokang Dong, Chao Li, Wubing Chen, Hongye Cao, Wenbin Li, Yang Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Online attentive kernel-based temporal difference learning.

Xingguo Chen, Guang Yang, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao

Knowl. Based Syst., October, 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., August, 2023

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

DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning.

Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, Yang Gao

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

2020

Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge.

Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Measuring Structural Similarities in Finite MDPs.

Hao Wang, Shaokang Dong, Ling Shao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks.

Wenbo Chen, Pan Zhou, Shaokang Dong, Shimin Gong, Menglan Hu, Kehao Wang, Dapeng Oliver Wu

IEEE Access, 2018

2017

Job and Candidate Recommendation with Big Data Support: A Contextual Online Learning Approach.

Shaokang Dong, Zijian Lei, Pan Zhou, Kaigui Bian, Guanghui Liu

Proceedings of the 2017 IEEE Global Communications Conference, 2017