教育经历（按时间倒序）：

• 2003.08-2005.10：美国西北大学 电子与计算机工程 博士学位
• 2001.08-2003.07：美国西北大学 电子与计算机工程 硕士学位

工作经历（按时间倒序）：

• 2022.10-至今 香港中文大学（深圳） 校长讲座教授、协理副校长
• 2019.01-2022.12香港中文大学（深圳） 校长讲座教授、理工学院副院长
• 2017.08-2018.12：香港中文大学 信息工程系 教授
• 2013.08-2017.07 香港中文大学 副教授、信息工程硕士项目主任
• 2007.08-2013.07香港中文大学 助理教授
• 2005.11-2007.07：普林斯顿大学博士后研究员

黄建伟，香港中文大学（深圳）校长讲座教授、协理副校长（拓展事务），深圳市人工智能与机器人研究院副院长、群体智能中心主任，深圳市群体智能驱动的低碳能源网络重点实验室主任。他是IEEE Fellow、AAIA Fellow、国家级人才、广东省省级人才，IEEE通信学会杰出演讲者，科睿唯安计算机科学领域全球高被引科学家，爱思唯尔中国高被引学者。长期致力于网络优化、网络经济学与群体智能交叉领域的研究，已发表8部学术专著和400余篇国际一流期刊/会议论文，谷歌学术引用超2万次，H指数72，获13项国际最佳论文奖项（含2011年IEEE马可尼无线通信论文奖）。主持国家省市和企业重大项目近 30 项，经费近亿元。曾任IEEE Transactions on Network Science and Engineering主编，现任IEEE Koji Kobayashi 评奖委员会主席，广东电网-深圳河套学院-深圳市人工智能与机器人研究院“人工智能+能源”联合实验室联席主任。欢迎对人工智能与能源网络、人工智能与博弈论等交叉领域感兴趣的优秀学生报考。

期刊论文

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)

会议论文

1 Xu C, Huang X, Huang J, Zhang A. Improving Extreme Wind Prediction with Frequency-Informed Learning. ICLR, 2026 (会议录用率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 (会议录用率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 (会议录用率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 (会议录用率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 (会议录用率19.6%)

11 Jiao Y, Yang K, Wu T, Jian C, Huang J. Provably Convergent Federated Trilevel Learning with Non-Convex Objectives. AAAI, 2024 (会议录用率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 (会议录用率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 (会议录用率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 (会议录用率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 (会议录用率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 (会议录用率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 (会议录用率25%)

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

26 Shao Q, Cheung M, Huang J. Crowdfunding with Strategic Pricing and Information Disclosure. ACM MobiHoc, 2021 (会议录用率20%)

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

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

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