Shaokang Dong

32 papers A* 7B 1Misc 2Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A unified and efficient training framework for open-ended non-transitive games.
Neural Networks
Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao
2026 J jnl
LMFENet: A hybrid local-global and multi-scale feature extraction network for oil spill type classification using sentinel-1 imagery.
Expert Syst. Appl.
Shaokang Dong, Jiangfan Feng
2026 J jnl
MMKLTrack: Illumination-robust UAV tracking with progressive localization.
Expert Syst. Appl.
Kuan Yin, Jiangfan Feng, Shaokang Dong, Ying Long
2026 J jnl
MagicAgent: Towards Generalized Agent Planning.
CoRR
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
2026 A* conf
What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study.
AAAI
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
2025 J jnl
A question-type guided and progressive self-attention network for remote sensing visual question answering.
Earth Sci. Informatics
Jiangfan Feng, Hui Wang, Shaokang Dong
2025 A* conf
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games.
AAAI
Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao
2025 J jnl
Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints.
Neural Networks
Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Wenbin Li, Yang Gao
2025 J jnl
Hierarchical feature integration and fusion for remote sensing visual question answering.
Displays
Jiangfan Feng, Shifeng Li, Shaokang Dong
2025 J jnl
MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning.
CoRR
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
2025 J jnl
Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations.
IEEE Trans. Neural Networks Learn. Syst.
Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Tianyu Ding, Wenbin Li, Yang Gao
2025 J jnl
Speech-Language Models with Decoupled Tokenizers and Multi-Token Prediction.
CoRR
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
2025 A* conf
TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation.
EMNLP
Daiye Miao, Yufang Liu, Jie Wang, Changzhi Sun, Yunke Zhang, Demei Yan, Shaokang Dong, Qi Zhang, Yuanbin Wu
2025 J jnl
TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation.
CoRR
Daiye Miao, Yufang Liu, Jie Wang, Changzhi Sun, Yunke Zhang, Demei Yan, Shaokang Dong, Qi Zhang, Yuanbin Wu
2025 J jnl
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL.
CoRR
Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
2025 A* conf
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning.
ICLR
Hongye Cao, Fan Feng, Meng Fang, Shaokang Dong, Tianpei Yang, Jing Huo, Yang Gao
2024 J jnl
A Novel Multiscale Contrastive Learning Network for Fine-Grained Ocean Ship Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Shaokang Dong, Jiangfan Feng, Dongxu Fang
2024 J jnl
Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments.
Expert Syst. Appl.
Shaokang Dong, Chao Li, Shangdong Yang, Wenbin Li, Yang Gao
2024 J jnl
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning.
Neural Networks
Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao
2024 Misc conf
Multi-Agent Exploration via Self-Learning and Social Learning.
ICASSP
Shaokang Dong, Chao Li, Wubing Chen, Hongye Cao, Wenbin Li, Yang Gao
2024 Misc conf
Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem.
ICASSP
Chao Li, Shaokang Dong, Shangdong Yang, Hongye Cao, Wenbin Li, Yang Gao
2024 A* conf
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning.
AAAI
Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao
2024 J jnl
WToE: Learning When to Explore in Multiagent Reinforcement Learning.
IEEE Trans. Cybern.
Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
2023 J jnl
Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems.
Future Gener. Comput. Syst.
Shangdong Yang, Huihui Wang, Shaokang Dong, Xingguo Chen
2023 J jnl
Online attentive kernel-based temporal difference learning.
Knowl. Based Syst.
Xingguo Chen, Guang Yang, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao
2022 J jnl
Application of Artificial Intelligence in an Unsupervised Algorithm for Trajectory Segmentation Based on Multiple Motion Features.
Wirel. Commun. Mob. Comput.
Wenjin Xu, Shaokang Dong
2022 — conf
DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning.
PRICAI (3)
Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, Yang Gao
2022 J jnl
Online Attentive Kernel-Based Temporal Difference Learning.
CoRR
Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao
2020 A* conf
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge.
IJCAI
Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao
2019 A* conf
Measuring Structural Similarities in Finite MDPs.
IJCAI
Hao Wang, Shaokang Dong, Ling Shao
2018 J jnl
Tree-Based Contextual Learning for Online Job or Candidate Recommendation With Big Data Support in Professional Social Networks.
IEEE Access
Wenbo Chen, Pan Zhou, Shaokang Dong, Shimin Gong, Menglan Hu, Kehao Wang, Dapeng Oliver Wu
2017 B conf
Job and Candidate Recommendation with Big Data Support: A Contextual Online Learning Approach.
GLOBECOM
Shaokang Dong, Zijian Lei, Pan Zhou, Kaigui Bian, Guanghui Liu