Educational Background (reverse chronological order)：

• 08/2003–10/2005: Northwestern University, USA, Electrical and Computer Engineering, Ph.D. 
• 08/2001–07/2003: Northwestern University, USA, Electrical and Computer Engineering, M.S.

Work Experience (reverse chronological order)：

• 10/2022–Present: The Chinese University of Hong Kong, Shenzhen, Presidential Chair Professor; Associate Vice President 
• 01/2019–12/2022: The Chinese University of Hong Kong, Shenzhen, Presidential Chair Professor; Associate Dean, School of Science and Engineering 
• 08/2017–12/2018: The Chinese University of Hong Kong, Department of Information Engineering, Professor 
• 08/2013–07/2017: The Chinese University of Hong Kong, Associate Professor (Tenured); Director, M.Sc. Program (Information Engineering) 
• 08/2007–07/2013: The Chinese University of Hong Kong, Assistant Professor (Tenure-Track) 
• 11/2005–07/2007: Princeton University, USA, Postdoctoral Research Associate

Jianwei Huang is a Presidential Chair Professor and Associate Vice President (Institutional Development) at CUHK-Shenzhen. He holds leadership roles as Associate Director of AIRS and Director of the Shenzhen Key Research Lab of Crowd Intelligence Enabled Low Carbon Energy Networks. An IEEE and AAIA Fellow, Professor Huang is a recognized leader in network optimization, economics, and crowd intelligence. His academic contributions include 8 books and over 400 papers, with over 20,000 citations (H-index 72) and 13 international paper awards, including the 2011 IEEE Marconi Prize Paper Award. He has secured nearly 100 million RMB in research funding across 30 major projects. Formerly the Editor-in-Chief of IEEE Transactions on Network Science and Engineering, he currently chairs the IEEE Koji Kobayashi Award Committee and co-directs the Guangdong Power Grid 'AI + Energy' Joint Laboratory. He invites applications from students passionate about the convergence of AI, energy systems, and game theory.

Journal Papers

1 Liu W, Zhou X, Wang X, Cheng Y, Ye L, Berry R, Tassiulas L, Huang J, Zhao J. An LLM Agent-Based Framework for Analytical Characterization of Nash Equilibria. Nexus, 2026

2 Cheng J, Ding N, Lui J, Huang J*. COTRA: A Data Trading Framework for Multi-Source Data Cooperation. IEEE Transactions on Mobile Computing, 2026 (JCR Q1)

3 Liu Y, Cheung M, Huang J*. Incentivizing Throughput Enhancement in Blockchain-based Energy Trading System. IEEE Transactions on Mobile Computing, 2026 (JCR Q1)

4 Cheng J, Ding N, Lui J, Huang J*. Trading Continuous Queries. IEEE Transactions on Mobile Computing, 2025 (Early Access) (JCR Q1)

5 He J, Zhang M, Ma Q, Huang J*. Trading Fresh IoT Data with Strategic Users. IEEE Transactions on Mobile Computing, 2025 (JCR Q1)

6 Li X, Huang J, Yang K, Fan C. Machine Learning Model Trading with Verification under Information Asymmetry. IEEE/ACM Transactions on Networking, 2025 (JCR Q1)

7 He J, Ma Q, Zhang M, Huang J*. Optimizing Fresh Data Sampling and Trading. IEEE/ACM Transactions on Networking, 2025 (JCR Q1)

8 Sun P, Liao G, Huang J*, Li X, Wang Y, Chen X. Socially Optimal Mechanism Design for Relay-assisted Asynchronous Federated Learning. IEEE Journal on Selected Areas in Communications, 2025 (JCR Q1)

9 Ding N, Gao L, Huang J. Incentive Mechanism Design for Federated Learning with Dynamic Network Pricing. IEEE Transactions on Mobile Computing, 2025 (JCR Q1)

10 Li J, Zhang H, Ke S, Huang J*, Chen N, Shen S. Non-Cooperative Multi-Agent Reinforcement Learning Exploiting Population Dynamics. IEEE Transactions on Network Science and Engineering, 2025 (JCR Q1)

11 Luo B, Xiao W, Wang S, Huang J*, Tassiulas L. Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks. IEEE Transactions on Mobile Computing, 2024 (JCR Q1)

12 Han P, Shi X, Huang J*. FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning. IEEE Journal on Selected Areas in Communications, 2024 (JCR Q1)

13 Sun P, Chen X, Liao G, Huang J*. A Socially Optimal Data Marketplace with Differentially Private Federated Learning. IEEE/ACM Transactions on Networking, 2024 (JCR Q1)

14 Fan C, Hu J, Huang J*. Few-Shot Multi-Agent Perception with Ranking-Based Feature Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 (JCR Q1)

15 Li J, Wu H, Huang X, Huang Q, Huang J*, Shen X. Towards Reinforcement-Learning-Based Intelligent Network Control in 6G Networks. IEEE Network, 2023 (JCR Q1)

16 Luo B, Ouyang X, Sun P, Han P, Ding N, Huang J*. Optimization Design for Federated Learning in Heterogeneous 6G Networks. IEEE Network, 2023 (JCR Q1)

17 Ouyang X, Xie Z, Zhou J, Xing G, Huang J. ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition. ACM Transactions on Sensor Networks, 2022 (JCR Q1)

18 Yu J, Cheung M, Huang J*. Economics of Mobile Data Trading Market. IEEE Transactions on Mobile Computing, 2022 (JCR Q1)

19 Zhang M, Arafa A, Huang J*, Poor V. Pricing Fresh Data. IEEE Journal on Selected Areas in Communications, 2021 (JCR Q1)

20 Luo B, Li X, Wang S, Huang J*, Tassiulas L. Cost-Effective Federated Learning in Mobile Edge Networks. IEEE Journal on Selected Areas in Communications, 2021 (JCR Q1)

21 Ding N, Fang Z, Huang J*. Optimal Contract Design for Efficient Federated Learning with Multi-Dimensional Private Information. IEEE Journal on Selected Areas in Communications, 2021 (JCR Q1)

Conference Papers

1 Xu C, Huang X, Huang J, Zhang A. Improving Extreme Wind Prediction with Frequency-Informed Learning. ICLR, 2026 (acceptance rate 28%)

2 Cheng J, Dai X, Ding N, Lui J, Huang J. BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning. The Web Conference (WWW), 2026 (acceptance rate 20%)

3 Cheng J, Dai X, Ding N, Lui J, Huang J. Trading Vector Data in Vector Databases. ICDE, 2026

4 Xie X, Yu H, Shou B, Huang J. Automated Human Strategic Behavior Modeling via Large Language Models. AAAI（Oral）, 2026 (acceptance rate 17.6%)

5 Chen K, Huang J, Luo Y. Generative AI as Digital Representatives in Collective Decision-Making: A Game-Theoretical Approach. ECAI, 2025

6 Cheng J, Ding N, Lui J, Huang J. OSTOR: Online Scheduling Framework for Trading Continuous Queries. ICDE, 2025

7 He J, Zhang M, Ma Q, Huang J. Trading Fresh Data with Correlation. WiOpt, 2025

8 Li X, Luo B, Huang J, Luo Y. Strategic Prompt Pricing for AIGC Services: A User-Centric Approach. WiOpt, 2025

9 Cheng J, Ding N, Lui J, Huang J. Continuous Query-based Data Trading. ACM SIGMETRICS, 2024 (acceptance rate 11.8%)

10 Han P, Wang S, Jiao Y, Huang J. Federated Learning While Providing Model as a Service: Jointly Training and Inference Optimization. IEEE INFOCOM, 2024 (acceptance rate 19.6%)

11 Jiao Y, Yang K, Wu T, Jian C, Huang J. Provably Convergent Federated Trilevel Learning with Non-Convex Objectives. AAAI, 2024 (acceptance rate 23.75%)

12 Han P, Huang C, Shi X, Huang J, Liu X. Incentivizing Participation in Split Fed Learning: Convergence Analysis and Model Versioning. IEEE ICDCS, 2024 (acceptance rate 21.9%)

13 Ye W, Liu B, Luo Y, Huang J. Dual Role AoI-based Incentive Mechanism for HD map Crowdsourcing. AAMAS, 2024

14 Li X, Luo Y, Luo B, Huang J. Social Welfare Maximization for Federated Learning with Network Effects. ACM MobiHoc, 2024 (acceptance rate 24.5%)

15 Cheng J, Ding N, Lui J, Huang J. Cooperative Multi-source Data Trading. IEEE GLOBECOM, 2024

16 Ding N, Gao L, Huang J. Joint Participation Incentive and Network Pricing Design for Federated Learning. IEEE INFOCOM, 2023 (acceptance rate 19%)

17 Li X, Fan C, Huang J, Yang K. Machine Learning Model Trading with Information Asymmetry. IEEE ICC, 2023

18 Ouyang X, Xie Z, Fu H, Cheng S, Lin N, Xing G, Huang J. Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training. ACM MobiSys, 2023 (acceptance rate 21%)

19 Luo B, Feng Y, Wang S, Huang J, Tassiulas L. Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. IEEE ICDCS, 2023 (acceptance rate 18.9%)

20 He J, Zhang M, Ma Q, Huang J. How to Price Fresh Data with Strategic Users. WiOpt, 2023

21 Ouyang X, Shuai X, Zhou J, Shi W, Xie Z, Xing G, Huang J. Cosmo: Contrastive Fusion Learning with Small Data for Multimodal Human Activity Recognition. ACM MobiCom, 2022

22 Fan C, Hu J, Huang J. Private Semi-Supervised Federated Learning. IJCAI-ECAI, 2022

23 Zhang M, Wei E, Berry R, Huang J. Age-Dependent Differential Privacy. ACM SIGMETRICS, 2022 (acceptance rate 25%)

24 Sun P, Chen X, Liao G, Huang J. A Profit-Maximizing Model Marketplace with Differentially Private Federated Learning. IEEE INFOCOM, 2022 (acceptance rate 20%)

25 Chen C, Ma Q, Chen X, Huang J. User Distributions in Shard-based Blockchain Network: Queueing Modeling, Game Analysis, and Protocol Design. ACM MobiHoc, 2021 (acceptance rate 20%)

26 Shao Q, Cheung M, Huang J. Crowdfunding with Strategic Pricing and Information Disclosure. ACM MobiHoc, 2021 (acceptance rate 20%)

27 Ding N, Fang Z, Duan L, Huang J. Incentive Mechanism Design for Distributed Coded Machine Learning. IEEE INFOCOM, 2021 (acceptance rate 20%)

28 Wang Z, Gao L, Huang J. Taming Time-Varying Information Asymmetry in Fresh Status Acquisition. IEEE INFOCOM, 2021 (acceptance rate 20%)

He J, Ma Q, Zhang M, Huang J. Optimal Fresh Data Sampling and Trading. WiOpt（Best Paper Award）, 2021