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 Complete Publication List Google Scholar, DBLP, ResearcherID, CV Research Impact Summary
Five Key Research Themes (2021-2025) 1. Federated Learning and Distributed AI Leading research on incentive mechanisms, privacy protection, and optimization for federated learning systems across heterogeneous networks. Representative Publications: • P. Sun, G. Liao, J. Huang, et al., "Socially Optimal Mechanism Design for Relay-assisted Asynchronous Federated Learning," IEEE Journal on Selected Areas in Communications, 2025
• N. Ding, L. Gao, and J. Huang, "Incentive Mechanism Design for Federated Learning with Dynamic Network Pricing," IEEE Transactions on Mobile Computing, 2025
• B. Luo, W. Xiao, S. Wang, J. Huang, and L. Tassiulas, "Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks," IEEE Transactions on Mobile Computing, 2024
• X. Ouyang, Z. Xie, H. Fu, et al., "Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training," ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2023
• N. Ding, Z. Fang, and J. Huang, "Optimal Contract Design for Efficient Federated Learning with Multi-Dimensional Private Information," IEEE Journal on Selected Areas in Communications, 2021
2. AI-Driven Network Optimization and Learning Advanced machine learning applications in network systems, including reinforcement learning for network control, multi-agent perception, and AI-powered resource allocation. Representative Publications: • X. Li, J. Huang, K. Yang, and C. Fan, "Machine Learning Model Trading with Verification under Information Asymmetry," IEEE/ACM Transactions on Networking, 2025
• C. Fan, J. Hu, and J. Huang, "Few-Shot Multi-Agent Perception with Ranking-Based Feature Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
• J. Li, H. Wu, X. Huang, Q. Huang, J. Huang, and X. Shen, "Towards Reinforcement-Learning-Based Intelligent Network Control in 6G Networks," IEEE Network Magazine, 2023
• Y. Jiao, K. Yang, T. Wu, C. Jian, and J. Huang, "Provably Convergent Federated Trilevel Learning with Non-Convex Objectives," AAAI Conference on Artificial Intelligence, 2024
• C. Fan and J. Huang, "Few-Shot Multi-Agent Perception," ACM International Conference on Multimedia, 2021
3. Data and Model Markets Pioneering work on fresh data trading, information asymmetry, and optimal pricing mechanisms for data marketplaces with privacy considerations. Representative Publications: • J. He, M. Zhang, Q. Ma, and J. Huang, "Trading Fresh IoT Data with Strategic Users," IEEE/ACM Transactions on Mobile Computing, 2025
• J. Cheng, N. Ding , J. Lui, and J. Huang, “Continuous Query-based Data Trading,” ACM SIGMETRICS, 2024.
• P. Sun, G. Liao, X. Chen, and J. Huang, "A Socially Optimal Data Marketplace with Differentially Private Federated Learning," IEEE/ACM Transactions on Networking, 2024
• M. Zhang, A. Arafa, J. Huang, and V. Poor, "Pricing Fresh Data," IEEE Journal on Selected Areas in Communications, 2021
• J. He, Q. Ma, M. Zhang, and J. Huang, "Optimal Fresh Data Sampling and Trading," IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) (Best Paper Award), 2021
4. Privacy-Preserving Technologies and Differential Privacy Fundamental contributions to differential privacy theory, age-dependent privacy mechanisms, and privacy-utility trade-offs in networked systems. Representative Publications: • M. Zhang, E. Wei, R. Berry, and J. Huang, "Age-Dependent Differential Privacy," IEEE Transactions on Information Theory (ESI Highly Cited Paper), 2024
• G. Liao, Y. Su, J. Ziani, A. Wireman, and J. Huang, "The Privacy Paradox and Optimal Bias-Variance Trade-offs in Data Acquisition," Mathematics of Operations Research, 2024
• G. Liao, X. Chen, and J. Huang, "Privacy Protection under Incomplete Social and Data Correlation Information," IEEE/ACM Transactions on Networking, 2023
• S. Hong, L. Duan, and J. Huang, "Protecting Location Privacy by Multi-Query: A Dynamic Bayesian Game Theoretic Approach," IEEE Transactions on Information Forensics and Security, 2022
• C. Fan, J. Hu, and J. Huang, "Private Semi-Supervised Federated Learning," International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI-ECAI), 2022
5. Blockchain and Smart Energy Systems Innovative research on blockchain sustainability, energy storage optimization, and smart grid economics with focus on renewable energy integration and vehicle-to-grid technologies. Representative Publications: • Y. Liu, Z. Fang, M. Cheung, W. Cai, and J. Huang, "Mechanism Design for Blockchain Storage Sustainability," IEEE Communications Magazine (ESI Highly Cited & Hot Paper), 2023
• Y. Liu, Z. Fang, M. Cheung, W. Cai, and J. Huang, "A Storage Sustainability Mechanism with Heterogeneous Miners in Blockchain," IEEE Journal on Selected Areas in Communications, 2022
• D. Zhao, H. Wang, J. Huang, and X. Lin, "Time-of-use Pricing for Energy Storage Investment," IEEE Transactions on Smart Grid, 2022
• C. Sun, X. Tang, and J. Huang, "Strategic V2G Trading in Local Energy Market Considering Minimum Energy Requirement," IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (Best Paper Award), 2024
• P. Ju, X. Lin, and J. Huang, "Distribution-Level Markets under High Renewable Energy Penetration," ACM International Conference on Future Energy Systems (e-Energy) (Best Paper Award), 2022
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