Joint spectrum pricing and admission control for heterogeneous secondary users. - Changkun Jiang; Lingjie Duan; Jianwei Huang 001 (WiOpt, 2014)

Economics of Peer-to-Peer Mobile Crowdsensing. - Changkun Jiang; Lin Gao 001; Lingjie Duan; Jianwei Huang 001 (GLOBECOM, 2015)

Exploiting Data Reuse in Mobile Crowdsensing. - Changkun Jiang; Lin Gao 001; Lingjie Duan; Jianwei Huang 001 (GLOBECOM, 2016)

Optimal Pricing and Admission Control for Heterogeneous Secondary Users. - Changkun Jiang; Lingjie Duan; Jianwei Huang 001 (IEEE Trans. Wirel. Commun., 2016)

A hybrid pricing mechanism for data sharing in P2P-based mobile crowdsensing. - Xiao Zeng; Lin Gao 001; Changkun Jiang; Tong Wang 010; Juan Liu; Baitao Zou (WiOpt, 2018)

Data-Centric Mobile Crowdsensing. - Changkun Jiang; Lin Gao 001; Lingjie Duan; Jianwei Huang 001 (IEEE Trans. Mob. Comput., 2018)

Scalable Mobile Crowdsensing via Peer-to-Peer Data Sharing. - Changkun Jiang; Lin Gao 001; Lingjie Duan; Jianwei Huang 001 (IEEE Trans. Mob. Comput., 2018)

Crowdsourcing for Mobile Edge Caching: A Game-Theoretic Analysis. - Changkun Jiang; Lin Gao 001; Jingjing Luo; Shimin Gong (ICC, 2019)

On Economic Viability of Mobile Edge Caching. - Changkun Jiang; Lin Gao 001; Tong Wang 010; Jingjing Luo; Fen Hou (ICC, 2020)

Crowd-MECS: A Novel Crowdsourcing Framework for Mobile Edge Caching and Sharing. - Changkun Jiang; Lin Gao 001; Tong Wang 010; Yufei Jiang; Jianqiang Li 001 (IEEE Internet Things J., 2020)

Human-Behavior and QoE-Aware Dynamic Channel Allocation for 5G Networks: A Latent Contextual Bandit Learning Approach. - Pan Zhou 001; Jie Xu 001; Wei Wang 021; Changkun Jiang; Kehao Wang 001; Jia Hu 001 (IEEE Trans. Cogn. Commun. Netw., 2020)

Incentivizing Mobile Edge Caching and Sharing: An Evolutionary Game Approach. - Mingyu Li; Changkun Jiang; Lin Gao 001; Tong Wang 010; Yufei Jiang (GLOBECOM, 2021)

Decomposition-Based Multiobjective Evolutionary Algorithm With Genetically Hybrid Differential Evolution Strategy. - Naili Luo; Wu Lin; Genmiao Jin; Changkun Jiang; Jianyong Chen (IEEE Access, 2021)

Trustworthy and Context-Aware Distributed Online Learning With Autoscaling for Content Caching in Collaborative Mobile Edge Computing. - Pan Zhou 001; Shimin Gong; Zichuan Xu; Lixing Chen; Yulai Xie; Changkun Jiang; Xiaofeng Ding 001 (IEEE Trans. Cogn. Commun. Netw., 2021)

Plug-in Electric Vehicle Charging With Multiple Charging Options: A Systematic Analysis of Service Providers' Pricing Strategies. - Yanru Zhang; Yingjie Zhou; Changkun Jiang; Yan Wang 083; Ruichang Zhang; George Chen (IEEE Trans. Smart Grid, 2021)

MSE-CapsPPISP: Spatial Hierarchical Protein-Protein Interaction Sites Prediction Using Squeeze-and-Excitation Capsule Networks. - Weipeng Lv; Changkun Jiang; Jianqiang Li 001 (BIBM, 2022)

DearFSAC: A DRL-based Robust Design for Power Demand Forecasting in Federated Smart Grid. - Chenghao Huang; Weilong Chen; Xiaoyi Wang; Feng Hong 005; Shunji Yang; Yuxi Chen; Shengrong Bu; Changkun Jiang; Yingjie Zhou; Yanru Zhang (GLOBECOM, 2022)

Cost-Aware Hierarchical Federated Learning via Over-the-Air Computing. - Donglin Xue; Jingjing Luo; Changkun Jiang; Lin Gao 001 (GLOBECOM, 2022)

Blockchain Based Non-repudiable IoT Data Trading: Simpler, Faster, and Cheaper. - Fei Chen 003; Jiahao Wang; Changkun Jiang; Tao Xiang 001; Yuanyuan Yang 001 (INFOCOM, 2022)

Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets. - Chenghao Huang; Weilong Chen; Xiaoyi Wang; Feng Hong 005; Shunji Yang; Yuxi Chen; Shengrong Bu; Changkun Jiang; Yingjie Zhou; Yanru Zhang (CoRR, 2022)

Verifiable Cloud Data Access: Design, Analysis, and Implementation. - Fei Chen 003; Zhipeng Li; Changkun Jiang; Jianqiang Li 001 (IEEE Syst. J., 2022)

Cloud Object Storage Synchronization: Design, Analysis, and Implementation. - Fei Chen 003; Zhipeng Li; Changkun Jiang; Tao Xiang 001; Yuanyuan Yang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Collaborative Block Mining and Edge Task Offloading in MEC-Assisted Blockchain Networks: A Coalition Game-Theoretic Approach. - Licheng Ye; Jingjing Luo; Changkun Jiang; Lin Gao 001 (GLOBECOM, 2023)

Economic Analysis of Joint Mobile Edge Caching and Peer Content Sharing. - Changkun Jiang (INFOCOM, 2023)

DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction. - Zihao Li; Changkun Jiang; Jianqiang Li 001 (CoRR, 2023)

Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE. - Changkun Jiang; Weipeng Lv; Jianqiang Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A Game-Theoretic Analysis of Joint Mobile Edge Caching and Peer Content Sharing. - Changkun Jiang; Lin Gao 001; Jingjing Luo; Pan Zhou 001; Jianqiang Li 001 (IEEE Trans. Netw. Sci. Eng., 2023)

Multi-UAV Cooperative Search in Multi-Layered Aerial Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach. - Jiaqi Wu; Jingjing Luo; Changkun Jiang; Lin Gao 001 (ICC, 2024)

FedPartial: Enabling Model-Heterogeneous Federated Learning via Partial Model Transmission and Aggregation. - Changkun Jiang; Jiahao Chen; Lin Gao 001; Jianqiang Li 001 (ICWS, 2024)

Age of Collection with Network-Coded Multiple Access: An Experimental Study. - Yurong Lai; Hai Liu; Tse-Tin Chan; Haoyuan Pan; Changkun Jiang (VTC Spring, 2024)

Enabling Secure and Flexible Streaming Media With Blockchain Incentive. - Tao Li; Anjia Yang; Jian Weng 001; Min-Rong Chen; Xizhao Luo; Xiaohu Chen; Changkun Jiang (IEEE Internet Things J., 2024)

A Truthful Incentive Mechanism for Movement-Aware Task Offloading in Crowdsourced Mobile Edge Computing Systems. - Changkun Jiang; Zhiheng Luo; Lin Gao 001; Jian-Qiang Li 001 (IEEE Internet Things J., 2024)

Cloud-Edge-End Collaborative Task Offloading in Vehicular Edge Networks: A Multilayer Deep Reinforcement Learning Approach. - Jiaqi Wu; Ming Tang 006; Changkun Jiang; Lin Gao 001; Bin Cao 003 (IEEE Internet Things J., 2024)

Economic Analysis of Edge Caching Enabled Mobile Internet Ecosystem. - Changkun Jiang; Lin Gao 001; Fen Hou; Jianqiang Li 001 (IEEE Trans. Mob. Comput., 2024)

When Labor-Intensive Mobile Crowdsourcing Meets Unobservability: Contextual Bandit Learning with Unobservable Individual Rewards. - Changkun Jiang; Bohong Jiang; Jianqiang Li 001 (INFOCOM, 2025)

A Multiagent Deep Reinforcement Learning Approach for Multi-UAV Cooperative Search in Multilayered Aerial Computing Networks. - Jiaqi Wu; Jingjing Luo; Changkun Jiang; Lin Gao 001 (IEEE Internet Things J., 2025)

HeteroStamp: leveraging heterogeneous social interactions for mobility prediction-enhanced cost-aware spatiotemporal crowdsensing. - Changkun Jiang; Heze Lao; Chaorui Zhang; Ji Cheng 002; Chen Jason Zhang; Jianqiang Li 001 (VLDB J., 2025)