Changkun Jiang (江常坤)

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Changkun Jiang

Networked Systems; Game Theory and Mechanism Design; Optimization and Learning

Email: jiangchangkun@gmail.com;  ckjiang@szu.edu.cn


Hello! I am an Associate Professor of Computer Science and Software Engineering at Shenzhen University, China. Previously, I received my Ph.D. in Information Engineering from The Chinese University of Hong Kong (CUHK).
My research interests lie broadly in networked systems and computing, with a particular focus on cloud-edge-client collaborative network resource management using analytical tools such as network games, mechanism design, optimization, and learning. More recently, I have broadened my interests to explore artificial intelligence and its applications across various interdisciplinary domains.

Interests

  • Networked Systems and Computing
         - Mobile Crowdsensing/Crowdsourcing
         - Cloud/Edge Computing
         - Internet of Things
         - Federated Learning
         - Blockchain
         - Data Management

  • Game Theory, Mechanism Design, Optimization, and Learning
         - Incentive Mechanisms and Economics
         - Optimization Theory and Algorithms
         - AI, Data Mining, and Machine Learning Algorithms

Publications

Book/Chapter

  1. Changkun Jiang and Lingjie Duan, "Network Economics of Spectrum Management," article in Wiley 5G Ref (Editor-in-Chief: Rahim Tafazolli, Chin-Liang Wang, and Periklis Chatzimisios. Section Editor: Tony Q.S. Quek), Wiley, Dec. 2019.

Journal

  1. Changkun Jiang, Lingjie Duan, and Jianwei Huang, "Optimal Pricing and Admission Control for Heterogeneous Secondary Users," IEEE Transactions on Wireless Communications, vol. 15, no. 8, pp. 5218-5230, August 2016.

  2. Changkun Jiang, Lin Gao, Lingjie Duan, and Jianwei Huang, "Scalable Mobile Crowdsensing via Peer-to-Peer Data Sharing," IEEE Transactions on Mobile Computing, vol. 17, no. 4, pp. 898-912, Apr. 2018.

  3. Changkun Jiang, Lin Gao, Lingjie Duan, and Jianwei Huang, "Data-Centric Mobile Crowdsensing," IEEE Transactions on Mobile Computing, vol. 17, no. 6, pp. 1275-1288, Jun. 2018.

  4. Changkun Jiang, Lin Gao, Tong Wang, Yufei Jiang, and Jianqiang Li, "Crowd-MECS: A Novel Crowdsourcing Framework for Mobile Edge Caching and Sharing," IEEE Internet of Things Journal, vol. 7, no. 10, pp. 9426-9440, Oct. 2020.

  5. Pan Zhou, Jie Xu, Wei Wang, Changkun Jiang, Kehao Wang, and Jia Hu, "Human-Behavior and QoE-Aware Dynamic Channel Allocation for 5G Networks: A Latent Contextual Bandit Learning Approach," IEEE Transactions on Cognitive Communications and Networking, vol. 6, no. 2, pp. 436-451, Jun. 2020.

  6. Yanru Zhang, Yingjie Zhou, Changkun Jiang, Yan Wang, Ruichang Zhang, and George Chen, "Plug-in Electric Vehicle Charging with Multiple Charging Options: A Systematic Analysis of Service Providers’ Pricing Strategies," IEEE Transactions on Smart Grid, vol. 12, no. 1, pp. 524-537, Jan. 2021.

  7. Pan Zhou, Shimin Gong, Zichuan Xu, Lixing Chen, Yulai Xie, Changkun Jiang, and Xiaofeng Ding, "Trustworthy and Context-Aware Distributed Online Learning with Autoscaling for Content Caching in Collaborative Mobile Edge Computing," IEEE Transactions on Cognitive Communications and Networking, vol. 7, no. 4, pp. 1032-1047, Dec. 2021.

  8. Fei Chen, Zipeng Li, Changkun Jiang, and Jianqiang Li, "Verifiable Cloud Data Access: Design, Analysis, and Implementation," IEEE Systems Journal, vol. 16, no. 1, pp. 1135-1146, Mar. 2022.

  9. Changkun Jiang, Lin Gao, Jingjing Luo, Pan Zhou, and Jianqiang Li, "A Game-Theoretic Analysis of Joint Mobile Edge Caching and Peer Content Sharing," IEEE Transactions on Network Science and Engineering, vol. 10, no. 3, pp. 1445-1461, May/June 2023.

  10. Fei Chen, Zipeng Li, Changkun Jiang, Tao Xiang, and Yuanyuan Yang, "Cloud Object Storage Synchronization: Design, Analysis, and Implementation," IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 12, pp. 4295-4310, Dec. 2022.

  11. Changkun Jiang, Weipeng Lv, and Jianqiang Li, "Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 20, no. 3, pp. 2190-2199, May/June 2023.

  12. Weipeng Lv, Changkun Jiang, and Jianqiang Li, "Spatial Hierarchical Protein-Protein Interaction Site Prediction Using Squeeze-and-Excitation Capsule Networks," submitted to IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022.

  13. Tao Li, Anjia Yang, Jian Weng, Min-Rong Chen, Xizhao Luo, Xiaohu Chen, and Changkun Jiang, "Enabling Secure and Flexible Streaming Media with Blockchain Incentive," IEEE Internet of Things Journal, vol. 11, no. 5, pp. 1966-1980, Jan. 2024.

  14. Changkun Jiang, Zhiheng Luo, Lin Gao, and Jianqiang Li, "A Truthful Incentive Mechanism for Movement-Aware Task Offloading in Crowdsourced Mobile Edge Computing Systems," IEEE Internet of Things Journal, vol. 11, no. 10, pp. 18292-18305, May 2024.

  15. Jiaqi Wu, Ming Tang, Changkun Jiang, Lin Gao, and Bin Cao, "Cloud-Edge-End Collaborative Task Offloading in Vehicular Edge Networks: A Multi-Layer Deep Reinforcement Learning Approach," IEEE Internet of Things Journal, vol. 11, no. 22, pp. 36272-36290, Nov. 2024.

  16. Changkun Jiang, Lin Gao, Fen Hou, and Jianqiang Li, "Economic Analysis of Edge Caching Enabled Mobile Internet Ecosystem," IEEE Transactions on Mobile Computing, vol. 23, no. 11, pp. 10647-10664, Nov. 2024.

  17. Jiaqi Wu, Jingjing Luo, Changkun Jiang, and Lin Gao, "A Multi-Agent Deep Reinforcement Learning Approach for Multi-UAV Cooperative Search in Multi-layered Aerial Computing Networks," IEEE Internet of Things Journal, 2025.

  18. Changkun Jiang, Heze Lao, Chaorui Zhang, Ji Cheng, Chen Zhang, and Jianqiang Li, "HeteroStamp: Leveraging Heterogeneous Social Interactions for Mobility Prediction-Enhanced Cost-Aware Spatiotemporal Crowdsensing," The VLDB Journal, 2025.

Conference

  1. Changkun Jiang, Lingjie Duan, and Jianwei Huang, "Joint Spectrum Pricing and Admission Control for Heterogeneous Secondary Users," 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2014), Hammamet, Tunisia, May 2014.

  2. Changkun Jiang, Lin Gao, Lingjie Duan, and Jianwei Huang, "Economics of Peer-to-Peer Mobile Crowdsensing," 2015 IEEE Global Communications Conference (GLOBECOM 2015), San Diego, CA, USA, December 2015.

  3. Changkun Jiang, Lin Gao, Lingjie Duan, and Jianwei Huang, "Exploiting Data Reuse in Mobile Crowdsensing," 2016 IEEE Global Communications Conference (GLOBECOM 2016), Washington, DC, USA, December 2016.

  4. Xiao Zeng, Lin Gao, Changkun Jiang, Tong Wang, Juan Liu, and Baitao Zou, "A Hybrid Pricing Mechanism for Data Sharing in P2P-based Mobile Crowdsensing," 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2018), Shanghai, China, May 2018.

  5. Changkun Jiang, Lin Gao, Jingjing Luo, and Shimin Gong, "Crowdsourcing for Mobile Edge Caching: A Game Theoretic Analysis," 2019 IEEE International Conference on Communications (ICC 2019), Shanghai, China, May 2019.

  6. Changkun Jiang, Lin Gao, Tong Wang, Jingjing Luo, and Fen Hou, "On Economic Viability of Mobile Edge Caching," 2020 IEEE International Conference on Communications (ICC 2020), Virtual Conference, Jun. 2020.

  7. Mingyu Li, Changkun Jiang, Lin Gao, Tong Wang, and Yufei Jiang, "Incentivizing Mobile Edge Caching and Sharing: An Evolutionary Game Approach," 2021 IEEE Global Communications Conference (GLOBECOM 2021), Virtual Conference, Dec. 2021.

  8. Donglin Xue, Jingjing Luo, Changkun Jiang, and Lin Gao, "Cost-Aware Hierarchical Federated Learning via Over-the-Air Computing," 2022 IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil, Dec. 2022.

  9. C. Huang, W. Chen, X. Wang, F. Hong, S. Yang, Y. Chen, S. Bu, Changkun Jiang, Yingjie Zhou, and Yanru Zhang, "DearFSAC: A DRL-based Robust Design for Power Demand Forecasting in Federated Smart Grid," 2022 IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil, Dec. 2022.

  10. Fei Chen, Jiahao Wang, Changkun Jiang, Tao Xiang, and Yuanyuan Yang, "Blockchain Based Non-repudiable IoT Data Trading: Simpler, Faster, and Cheaper," 2022 IEEE International Conference on Computer Communications (INFOCOM 2022), Virtual Conference, May 2022. (CCF A, acceptance rate: 20%).

  11. Wei Lv, Changkun Jiang, and Jianqiang Li, "MSE-CapsPPISP: Spatial Hierarchical Protein-Protein Interaction Sites Prediction Using Squeeze-and-Excitation Capsule Networks," 2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022), Las Vegas, NV, USA & Changsha, China, Dec. 2022. (CCF B, acceptance rate: 20%).

  12. Changkun Jiang, "Economic Analysis of Joint Mobile Edge Caching and Peer Content Sharing," 2023 IEEE International Conference on Computer Communications (INFOCOM 2023), New York area, USA, May 2023. (CCF A, acceptance rate: 19.2%).

  13. Zihao Li, Changkun Jiang, and Jianqiang Li, "DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction," ACM BIOKDD 2023 (in conjunction with SIGKDD 2023, Regular Track, acceptance rate: 5/24=20.8%), Long Beach, CA, USA, Aug. 2023. (Best Paper Award).

  14. Licheng Ye, Jingjing Luo, Changkun Jiang, and Lin Gao, "Collaborative Block Mining and Edge Task Offloading in MEC-Assisted Blockchain Networks: A Coalition Game-Theoretic Approach," 2023 IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia, Dec. 2023.

  15. Jiaqi Wu, Jingjing Luo, Changkun Jiang, and Lin Gao, "Multi-UAV Cooperative Search in Multi-layered Aerial Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach," 2024 IEEE International Conference on Communications (ICC 2024), Denver, CO, USA, Jun. 2024.

  16. Yurong Lai, Hai Liu, Tse-Tin Chan, Haoyuan Pan, Changkun Jiang, "Age of Collection with Network-Coded Multiple Access: An Experimental Study," 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), Singapore, Jun. 2024.

  17. Changkun Jiang, Jiahao Chen, Lin Gao, and Jianqiang Li, "FedPartial: Enabling Model-Heterogeneous Federated Learning via Partial Model Transmission and Aggregation," 2024 IEEE International Conference on Web Services (IEEE ICWS 2024), Shenzhen, China, Jul. 2024. (CCF B).

  18. Changkun Jiang, Bohong Jiang, and Jianqiang Li, "When Labor-Intensive Mobile Crowdsourcing Meets Unobservability: Contextual Bandit Learning with Unobservable Individual Rewards," 2025 IEEE International Conference on Computer Communications (INFOCOM 2025), London, United Kingdom, May 2025. (CCF A, acceptance rate: 18.6%).

Teaching

  • Instructor
         - Machine Learning (2022-2023)
         - Research English (2019-2020)
         - Computer Basics (2018-2024)
         - Digital Circuits and Logic Design (2025)

  • Teaching Assistant
         - ENGG2430B: Probability and Statistics for Engineers (2016)
         - IERG4080: Building Scalable Internet-based Services (2015)
         - ENGG2430D: Probability and Statistics for Engineers (2015)
         - ENGG2420E: Complex Analysis and Differential Equations (2014)
         - ENGG2430D: Engineering Mathematics III (2014)
         - ENGG2420F: Engineering Mathematics II (2013)
         - ENGG2020: Digital Logic and Systems (2013)
         - ENGG2420: Advanced Engineering Mathematics (2012)

  • Co-supervision
         - iOS app design for predicting bus arrivals with smartphone based crowd sensing (CUHK FYP 2015-2016)

Awards

  • Best Paper Award, BIOKDD 2023, Aug. 2023

  • Best Student Presentation Award, NCEL, Nov. 2016

  • IEEE GLOBECOM 2016 Student Travel Grant, Oct. 2016

  • IEEE GLOBECOM 2015 Student Travel Grant, Sept. 2015

  • Exemplary Research Student, Aug. 2013

  • Postgraduate Studentship, 2012-2016

  • National Scholarship and Excellent Student/Graduate/FYP, 2007-2011

Updates

  • [2024.12] "Bandit Learning with Unobservable Individual Rewards" is accepted by IEEE INFOCOM 2025.

  • [2024.12] "HeteroStamp" is accepted by The VLDB Journal, a leading journal on data management.

  • [2024.05] "FedPartial" is accepted by IEEE ICWS 2024, a leading conference on services computing.

  • [2024.03] "Economic Analysis of Edge Caching Enabled Mobile Internet Ecosystem" is accepted by IEEE TMC.

  • [2023.08] We receive the BIOKDD 2023 Best Paper Award.

  • [2023.06] "DeepGATGO" is accepted by ACM BIOKDD 2023 (Regular Track).

  • [2022.12] "Joint Mobile Edge Caching and Peer Content Sharing" is accepted by IEEE INFOCOM 2023.

  • [2022.10] "MSE-CapsPPISP" is accepted by IEEE BIBM 2022.

  • [2021.12] "Blockchain Based Non-repudiable IoT Data Trading" is accepted by IEEE INFOCOM 2022.

  • [2017.10] "Data-centric mobile crowdsensing" is accepted by IEEE TMC.

  • [2017.08] "Scalable mobile crowdsensing via peer-to-peer data sharing" is accepted by IEEE TMC.

  • [2017.06] Complete the doctoral thesis defense.

  • [2016.10] Receive IEEE GLOBECOM 2016 Student Travel Grant.

  • [2016.07] "Exploiting data reuse in mobile crowdsensing" is accepted by IEEE GLOBECOM 2016.

  • [2016.04] "Optimal pricing and admission control for heterogeneous secondary users" is accepted by IEEE TWC.

  • [2015.11] Create this page.