Mean Field Evolutionary Dynamics in Ultra Dense Mobile Edge Computing Systems. - Hao Gao 008; Wuchen Li; Reginald A. Banez; Zhu Han 001; H. Vincent Poor (GLOBECOM, 2019)

Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game Approach. - Hao Gao 008; Wonjun Lee 004; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (GLOBECOM, 2020)

Analyzing Social Distancing and Seasonality of COVID-19 with Mean Field Evolutionary Dynamics. - Hao Gao 008; Wuchen Li; Miao Pan; Zhu Han 001; H. Vincent Poor (GLOBECOM (Workshops), 2020)

Belief and Opinion Evolution in Social Networks Based on a Multi-Population Mean Field Game Approach. - Reginald A. Banez; Hao Gao 008; Lixin Li; Chungang Yang; Zhu Han 001; H. Vincent Poor (ICC, 2020)

Mean Field Game Guided Deep Reinforcement Learning for Task Placement in Cooperative Multiaccess Edge Computing. - Dian Shi; Hao Gao 008; Li Wang 039; Miao Pan; Zhu Han 001; H. Vincent Poor (IEEE Internet Things J., 2020)

Mean Field Evolutionary Dynamics in Dense-User Multi-Access Edge Computing Systems. - Hao Gao 008; Wuchen Li; Reginald A. Banez; Zhu Han 001; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2020)

Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. - Hao Gao 008; Alex Tong Lin; Reginald A. Banez; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (ICC, 2021)

Modeling COVID-19 with mean field evolutionary dynamics: Social distancing and seasonality. - Hao Gao 008; Wuchen Li; Miao Pan; Zhu Han 001; H. Vincent Poor (J. Commun. Networks, 2021)

Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. - Hao Gao 008; Alex Tong Lin; Reginald A. Banez; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (IEEE Trans. Netw. Sci. Eng., 2022)

Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games. - Reginald A. Banez; Hao Gao 008; Lixin Li; Chungang Yang; Zhu Han 001; H. Vincent Poor (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game Approach. - Hao Gao 008; Wonjun Lee 004; Yuhan Kang; Wuchen Li; Zhu Han 001; Stanley J. Osher; H. Vincent Poor (IEEE Trans. Veh. Technol., 2022)

Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications. - Hao Gao 008; Yongkang Liu 005; Emrah Akin Sisbot; Yashar Zeiynali Farid; Kentaro Oguchi 001; Zhu Han 001 (IV, 2023)

Two-Timescale-Based Beam Training for RIS-Aided Millimeter-Wave Multi-User MISO Systems. - Huan Huang 001; Chongfu Zhang; Ying Zhang; Boyu Ning; Hao Gao 008; Songnian Fu; Kun Qiu; Zhu Han 001 (IEEE Trans. Veh. Technol., 2023)

Delay-Optimal Computation Offloading in Large-Scale Multi-Access Edge Computing Using Mean Field Game. - Dezhi Wang 001; Wei Wang 021; Hao Gao 008; Zhaoyang Zhang 001; Zhu Han 001 (IEEE Trans. Wirel. Commun., 2024)

Age of Information Minimization Using Multi-Agent UAVs Based on AI-Enhanced Mean Field Resource Allocation. - Yousef Emami; Hao Gao 008; Kai Li 002; Luís Almeida 001; Eduardo Tovar; Zhu Han 001 (IEEE Trans. Veh. Technol., 2024)

Mean Field Guided Machine Learning, 1 - Yuhan Kang; Hao Gao 008; Zhu Han 001 (Springer, 2025)