Data-Intensive Application Deployment at Edge: A Deep Reinforcement Learning Approach. - Yishan Chen 001; Shuiguang Deng; Hailiang Zhao; Qiang He 001; Ying Li 001; Honghao Gao (ICWS, 2019)

Deploying Data-intensive Applications with Multiple Services Components on Edge. - Yishan Chen 001; Shuiguang Deng; Hongtao Ma; Jianwei Yin (Mob. Networks Appl., 2020)

Incentive-driven Edge Cooperation for Service Provision. - Yishan Chen 001; Shuiguang Deng; Jianwei Yin (ICWS, 2021)

A cooperative particle swarm optimization with difference learning. - Wei Li 078; Jianghui Jing; Yangtao Chen; Yishan Chen 001 (Inf. Sci., 2023)

Incentive-Driven Proactive Application Deployment and Pricing on Distributed Edges. - Shuiguang Deng; Yishan Chen 001; Gong Chen 009; Shouling Ji; Jianwei Yin; Albert Y. Zomaya (IEEE Trans. Mob. Comput., 2023)

Low-latency intelligent service combination caching strategy with density peak clustering algorithm in vehicle edge computing. - Yishan Chen 001; Shumei Ye; Jie Wu; Wei Li 078; Jiyuan Wang (Comput. Networks, 2024)

Fast multi-type resource allocation in local-edge-cloud computing for energy-efficient service provision. - Yishan Chen 001; Shumei Ye; Jianqing Wu; Bi Wang; Hui Wang; Wei Li 078 (Inf. Sci., 2024)

Blockchain-Based Nash Bargaining for Task Scheduling in IoT Edge Computing Environments. - Yishan Chen 001; Bo Li; Wei Li 078; Bowen Zeng 002; Jianwei Yin; Shuiguang Deng (IEEE Internet Things J., 2024)

A Game-Theoretic Approach-Based Task Offloading and Resource Pricing Method for Idle Vehicle Devices Assisted VEC. - Yishan Chen 001; Jie Wu; Junxiao Han; Hailiang Zhao; Shuiguang Deng (IEEE Internet Things J., 2024)

On the sustainability of deep learning projects: Maintainers' perspective. - Junxiao Han; Jiakun Liu; David Lo 001; Chen Zhi; Yishan Chen 001; Shuiguang Deng (J. Softw. Evol. Process., 2024)

Priority-based DAG task offloading and secondary resource allocation in IoT edge computing environments. - Yishan Chen 001; Xiansong Luo; Peng Liang 021; Junxiao Han; Zhonghui Xu (Computing, 2024)

Joint client-server selection and resource allocation based on split federated learning in Edge-to-Cloud computing environments. - Yishan Chen 001; Xiangwei Zeng; Xiansong Luo; Zhiquan Liu (Comput. Networks, 2025)

Privacy-Preserving Knowledge Distillation in Latency-Critical Federated Task Offloading for Consumer IoT Networks. - Yishan Chen 001; Jianwei Zhang; Zhiqiang Wang; Wenshuo Dai; Honghao Gao; Shuiguang Deng (IEEE Trans. Consumer Electron., 2025)

Budget-Constrained Resource Allocation and Pricing in VEC: A MSMLMF Stackelberg Game With Contract Incentive Mechanism. - Yishan Chen 001; Jie Wu; Shumei Ye; Wei Li 078; Zhonghui Xu (IEEE Internet Things J., 2025)

Decentralized-Voting-Based Federated Learning Framework for Lightweight Node Selection in Edge Collaborative IoT. - Yishan Chen 001; Zhiqiang Wang; Yuan Min; Zhiquan Liu (IEEE Internet Things J., 2025)

Decentralized QoS-Aware Model Inference Using Federated Split Learning for Cloud-Edge Medical Detection. - Yishan Chen 001; Xiangwei Zeng; Huashuai Cai; Qing Xu; Zhiquan Liu (IEEE Trans. Parallel Distributed Syst., 2025)

Dynamic client-resource management in federated learning over Internet of Vehicles: A Lyapunov-driven game-theoretic approach. - Yishan Chen 001; Yangjun Hou; Huayun Wei; Tong Zhou; Qing Xu (Future Gener. Comput. Syst., 2026)