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ORCIDHao Gao 0008
Person information
- affiliation: University of Houston, Houston, TX, USA
Other persons with the same name
- Hao Gao — disambiguation page
- Hao Gao 0001
![[0000-0002-7420-8213]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7420-8213")
— Eindhoven University of Technology, Department of Electrical Engineering, Mixed-Signal Microelectronics Group, The Netherlands - Hao Gao 0002 — University of Glasgow, School of Mathematics and Statistics, UK (and 1 more)
- Hao Gao 0003 — Duke University Medical Center, Department of Radiation Oncology, Durham, NC, USA
- Hao Gao 0004 — Fudan University, Department of Communication Science and Engineering, Shanghai, China
- Hao Gao 0005 — Nanjing University of Posts and Telecommunications, China (and 1 more)
- Hao Gao 0006 — Shandong Academy of Sciences Institute of Oceanographic Instrumentation, Qingdao, Shandong, China
- Hao Gao 0007 — China Meteorological Administration National Satellite Meteorological Center, Beijing, China
- Hao Gao 0009 — Beijing Institute of Control Engineering, Beijing, China
- Hao Gao 0010 — Nanjing University, Nanjing, China
- Hao Gao 0011 — Dalian Maritime University, Dalian, China
- Hao Gao 0012 — Macao Polytechnic University, Macao, SAR, China
- Hao Gao 0013 — Beijing University of Posts and Telecommunications, Beijing, China
- Hao Gao 0014 — National University of Defense Technology, Changsha, China
- Hao Gao 0015 — Shandong Normal University, Jinan, China
- Hao Gao 0016 — Beijing University of Posts and Telecommunications, Beijing, China
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2020 – today
- 2025
[b1]Yuhan Kang, Hao Gao, Zhu Han:
Mean Field Guided Machine Learning, 1. Wireless Networks, Springer 2025, ISBN 978-3-031-91858-2, pp. 1-135- 2024
- [j9]Yousef Emami, Hao Gao, Kai Li, Luís Almeida, Eduardo Tovar, Zhu Han:
Age of Information Minimization Using Multi-Agent UAVs Based on AI-Enhanced Mean Field Resource Allocation. IEEE Trans. Veh. Technol. 73(9): 13368-13380 (2024) - [j8]Dezhi Wang, Wei Wang, Hao Gao, Zhaoyang Zhang, Zhu Han:
Delay-Optimal Computation Offloading in Large-Scale Multi-Access Edge Computing Using Mean Field Game. IEEE Trans. Wirel. Commun. 23(3): 1684-1698 (2024) - [i1]Yousef Emami, Hao Gao, Kai Li, Luís Almeida, Eduardo Tovar, Zhu Han:
Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation. CoRR abs/2405.00056 (2024) - 2023
- [j7]Huan Huang, Chongfu Zhang, Ying Zhang, Boyu Ning, Hao Gao, Songnian Fu, Kun Qiu, Zhu Han:
Two-Timescale-Based Beam Training for RIS-Aided Millimeter-Wave Multi-User MISO Systems. IEEE Trans. Veh. Technol. 72(9): 11884-11897 (2023) - [c6]Hao Gao, Yongkang Liu, Emrah Akin Sisbot, Yashar Zeiynali Farid, Kentaro Oguchi, Zhu Han:
Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications. IV 2023: 1-6 - 2022
- [j6]Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor:
Opinion Evolution in Social Networks: Connecting Mean Field Games to Generative Adversarial Nets. IEEE Trans. Netw. Sci. Eng. 9(4): 2734-2746 (2022) - [j5]Reginald A. Banez, Hao Gao, Lixin Li, Chungang Yang, Zhu Han, H. Vincent Poor:
Modeling and Analysis of Opinion Dynamics in Social Networks Using Multiple-Population Mean Field Games. IEEE Trans. Signal Inf. Process. over Networks 8: 301-316 (2022) - [j4]Hao Gao, Wonjun Lee, Yuhan Kang, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor:
Energy-Efficient Velocity Control for Massive Numbers of UAVs: A Mean Field Game Approach. IEEE Trans. Veh. Technol. 71(6): 6266-6278 (2022) - 2021
- [j3]Hao Gao, Wuchen Li, Miao Pan, Zhu Han, H. Vincent Poor:
Modeling COVID-19 with mean field evolutionary dynamics: Social distancing and seasonality. J. Commun. Networks 23(5): 314-325 (2021) - [c5]Hao Gao, Alex Tong Lin, Reginald A. Banez, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor:
Belief and Opinion Evolution in Social Networks: A High-Dimensional Mean Field Game Approach. ICC 2021: 1-6 - 2020
- [j2]Dian Shi, Hao Gao, Li Wang, Miao Pan, Zhu Han, H. Vincent Poor:
Mean Field Game Guided Deep Reinforcement Learning for Task Placement in Cooperative Multiaccess Edge Computing. IEEE Internet Things J. 7(10): 9330-9340 (2020) - [j1]Hao Gao, Wuchen Li, Reginald A. Banez, Zhu Han, H. Vincent Poor:
Mean Field Evolutionary Dynamics in Dense-User Multi-Access Edge Computing Systems. IEEE Trans. Wirel. Commun. 19(12): 7825-7835 (2020) - [c4]Hao Gao, Wonjun Lee, Wuchen Li, Zhu Han, Stanley J. Osher, H. Vincent Poor:
Energy-efficient Velocity Control for Massive Numbers of Rotary-Wing UAVs: A Mean Field Game Approach. GLOBECOM 2020: 1-6 - [c3]Hao Gao, Wuchen Li, Miao Pan, Zhu Han, H. Vincent Poor:
Analyzing Social Distancing and Seasonality of COVID-19 with Mean Field Evolutionary Dynamics. GLOBECOM (Workshops) 2020: 1-6 - [c2]Reginald A. Banez, Hao Gao, Lixin Li, Chungang Yang, Zhu Han, H. Vincent Poor:
Belief and Opinion Evolution in Social Networks Based on a Multi-Population Mean Field Game Approach. ICC 2020: 1-6
2010 – 2019
- 2019
- [c1]Hao Gao, Wuchen Li, Reginald A. Banez, Zhu Han, H. Vincent Poor:
Mean Field Evolutionary Dynamics in Ultra Dense Mobile Edge Computing Systems. GLOBECOM 2019: 1-6
Coauthor Index
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