Poster: An Adaptive Copy Spraying Scheme for Data Forwarding in Mobile Opportunistic Networks. - Peiyan Yuan; Wei Wang; Chenyang Wang 001 (MobiHoc, 2015)

A Socially Aware Routing Protocol in Mobile Opportunistic Networks. - Ping Liu 006; Peiyan Yuan; Chenyang Wang 001 (J. Commun., 2017)

Edge Caching via Content Offloading in Heterogeneous Mobile Opportunistic Networks. - Chenyang Wang 001; Wenkai Li; Ding Li 004; Mingyang Song; Chen Dong; Xiaofei Wang 001 (ICPADS, 2018)

Q-Learning Based Edge Caching Optimization for D2D Enabled Hierarchical Wireless Networks. - Chenyang Wang 001; Shanjia Wang; Ding Li 004; Xiaofei Wang 001; Xiuhua Li; Victor C. M. Leung (MASS, 2018)

OPPO: An optimal copy allocation scheme in mobile opportunistic networks. - Peiyan Yuan; Chenyang Wang 001 (Peer-to-Peer Netw. Appl., 2018)

Identifying Influential Users in Mobile Device-to-Device Social Networks to Promote Offline Multimedia Content Propagation. - Hao Fan; Xu Tong; Qing Zhang; Tianxiang Zhang; Chenyang Wang 001; Xiaofei Wang 001 (ICME, 2019)

Deep Reinforcement Learning for Cooperative Edge Caching in Future Mobile Networks. - Ding Li 004; Yiwen Han; Chenyang Wang 001; GaoTao Shi; Xiaofei Wang 001; Xiuhua Li; Victor C. M. Leung (WCNC, 2019)

In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning. - Xiaofei Wang 001; Yiwen Han; Chenyang Wang 001; Qiyang Zhao; Xu Chen 004; Min Chen 003 (IEEE Netw., 2019)

Edge Caching for D2D Enabled Hierarchical Wireless Networks with Deep Reinforcement Learning. - Wenkai Li; Chenyang Wang 001; Ding Li 004; Bin Hu 024; Xiaofei Wang 001; Jianji Ren (Wirel. Commun. Mob. Comput., 2019)

D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks. - Heng Zhang 032; Xiaofei Wang 001; Jiawen Chen; Chenyang Wang 001; Jianxin Li 001 (AAAI, 2020)

Edge Caching Replacement Optimization for D2D Wireless Networks via Weighted Distributed DQN. - Ruibin Li; Yiwei Zhao; Chenyang Wang 001; Xiaofei Wang 001; Victor C. M. Leung; Xiuhua Li; Tarik Taleb (WCNC, 2020)

Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching. - Xiaofei Wang 001; Chenyang Wang 001; Xiuhua Li; Victor C. M. Leung; Tarik Taleb (IEEE Internet Things J., 2020)

Measurement and analysis on large-scale offline mobile app dissemination over device-to-device sharing in mobile social networks. - Xiaofei Wang 001; Chenyang Wang 001; Xu Chen 004; Xiaoming Fu 001; Jinyoung Han; Xin Wang 030 (World Wide Web, 2020)

Neighboring-Aware Caching in Heterogeneous Edge Networks by Actor-Attention-Critic Learning. - Yiwei Zhao; Ruibin Li; Chenyang Wang 001; Xiaofei Wang 001; Victor C. M. Leung (ICC, 2021)

Anchored User Selection for Traffic Offloading Optimization in D2D-Aided Mobile-Edge Computing. - Chenyang Wang 001; Ruibin Li; Zheng Di; Chao Qiu; Xiaofei Wang 001 (IEEE Internet Things J., 2021)

SimEdgeIntel: A open-source simulation platform for resource management in edge intelligence. - Chenyang Wang 001; Ruibin Li; Wenkai Li; Chao Qiu; Xiaofei Wang 001 (J. Syst. Archit., 2021)

Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching. - Xiaofei Wang 001; Ruibin Li; Chenyang Wang 001; Xiuhua Li; Tarik Taleb; Victor C. M. Leung (IEEE J. Sel. Areas Commun., 2021)

Multi-Community Influence Maximization in Device-to-Device social networks. - Xiaofei Wang 001; Xu Tong; Hao Fan; Chenyang Wang 001; Jianxin Li 001; Xin Wang 030 (Knowl. Based Syst., 2021)

Deep Reinforcement Learning for Dependency-aware Microservice Deployment in Edge Computing. - Chenyang Wang 001; Bosen Jia; Hao Yu 013; Xiuhua Li; Xiaofei Wang 001; Tarik Taleb (GLOBECOM, 2022)

Attention-aided Federated Learning for Dependency-Aware Collaborative Task Allocation in Edge-Assisted Smart Grid Scenarios. - Chenyang Wang 001; Bosen Jia; Hao Yu 013; Liandong Chen; Kai Cheng; Xiaofei Wang 001 (ICCC, 2022)

Cluster-based content caching driven by popularity prediction. - Bosen Jia; Ruibin Li; Chenyang Wang 001; Chao Qiu; Xiaofei Wang 001 (CCF Trans. High Perform. Comput., 2022)

Dynamic Task Allocation and Service Migration in Edge-Cloud IoT System Based on Deep Reinforcement Learning. - Yan Chen 025; Yanjing Sun; Chenyang Wang 001; Tarik Taleb (IEEE Internet Things J., 2022)

Multitask Offloading Strategy Optimization Based on Directed Acyclic Graphs for Edge Computing. - Jiawen Chen; Yajun Yang; Chenyang Wang 001; Heng Zhang 032; Chao Qiu; Xiaofei Wang 001 (IEEE Internet Things J., 2022)

RIS-Assisted Ad Hoc Edge for Optimal User Distribution in Service-Intensive Scenarios. - Chenxuan Hou; Chenyang Wang 001; Kai Dong; Xiaofei Wang 001; Tarik Taleb (GLOBECOM, 2023)

Network Slice Mobility for 6G Networks by Exploiting User and Network Prediction. - Hao Yu 013; Zhao Ming; Chenyang Wang 001; Tarik Taleb (ICC, 2023)

Heterogeneous Edge Caching Based on Actor-Critic Learning With Attention Mechanism Aiding. - Chenyang Wang 001; Ruibin Li; Xiaofei Wang 001; Tarik Taleb; Song Guo 001; Yuxia Sun; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2023)

QoE-oriented Soft Caching with Content Recommendation for Edge Computing Networks. - Chenyang Wang 001; Yan Chen 025; Chuan Sun; Bosen Jia; Xiaofei Wang 001; Tarik Taleb; Victor C. M. Leung (GLOBECOM, 2024)

Energy-Efficient User Allocation and Content Updating in Mobile Edge Computing Networks. - Jingchao Tan; Tiancheng Zhang 009; Chenyang Wang 001; Xiuhua Li; Xiaofei Wang 001 (ICC, 2024)

MTEE: Multiscale Temporal Entropy Evaluation Paradigm for Heterogeneous Complex Datasets. - Ledong An; Chenyang Wang 001; Shaoyuan Huang; Yang Guo; Cheng Zhang 019; Chao Qiu; Xiaofei Wang 001 (NPC (1), 2024)

Hierarchical Deep Reinforcement Learning for Joint Service Caching and Computation Offloading in Mobile Edge-Cloud Computing. - Chuan Sun; Xiuhua Li; Chenyang Wang 001; Qiang He 001; Xiaofei Wang 001; Victor C. M. Leung (IEEE Trans. Serv. Comput., 2024)

A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks. - Yu He; Guangjie Han; Aohan Li; Tarik Taleb; Chenyang Wang 001; Hao Yu 013 (IEEE Trans. Mob. Comput., 2024)

Dependency-Aware Microservice Deployment for Edge Computing: A Deep Reinforcement Learning Approach With Network Representation. - Chenyang Wang 001; Hao Yu 013; Xiuhua Li; Fei Ma; Xiaofei Wang 001; Tarik Taleb; Victor C. M. Leung (IEEE Trans. Mob. Comput., 2024)

Cloud-edge-end integrated Artificial intelligence based on ensemble learning. - Zhen Gao 005; Daning Su; Shuang Liu; Yuqi Zhang; Chenyang Wang 001; Cheng Zhang 019; Xiaofei Wang 001; Tarik Taleb (Comput. Commun., 2025)

EDT_MTOS: An Edge Digital Twin Enabled VEC Multihop Collaborative Task Offloading Scheme. - Xiaoyan Zhao 001; Jiale Zhang; Chenyang Wang 001; Peiyan Yuan; Junna Zhang; Xiangyang Li 001 (IEEE Internet Things J., 2025)

Federated Deep Reinforcement Learning for Multimodal Content Caching in Edge-Cloud Networks. - Weijia Feng; Xinyu Zuo; Ruojia Zhang; Yichen Zhu; Chenyang Wang 001; Jia Guo; Chuan Sun (IEEE Trans. Netw. Sci. Eng., 2025)

Exploring Collaborative Diffusion Model Inferring for AIGC-Enabled Edge Services. - Weijia Feng; Ruojia Zhang; Yichen Zhu; Chenyang Wang 001; Chuan Sun; Xiaoqiang Zhu; Xiang Li; Tarik Taleb (IEEE Trans. Cogn. Commun. Netw., 2025)

CPPU: Policy Space Diversity for Informative Path Planning and GAI-Enabled Updating CSI in ISAC. - Xiaoqiang Zhu; Jiqiang Liu; Tao Zhang 063; Yuan Liu 001; Chenyang Wang 001; Chunpeng Wang 001; Zhongqi Zhao; Zhu Han 001 (IEEE Trans. Cogn. Commun. Netw., 2025)

A Knowledge Acquisition Method for Consumer Electronics Based on Triadic Hesitant Fuzzy Concept. - Xianwei Xin; Ye Zhao; Chenyang Wang 001; Jiucheng Xu; Tarik Taleb (IEEE Trans. Consumer Electron., 2025)

Active Multimodal Distillation for Few-shot Action Recognition. - Weijia Feng; Yichen Zhu; Ruojia Zhang; Chenyang Wang 001; Fei Ma; Xiaobao Wang; Xiaobai Li (CoRR, 2025)