Hao Huang
Orcid: 0000-0003-3151-367XAffiliations:
- Beijing University of Posts and Telecommunications, Beijing Key Laboratory for Network System Architecture and Convergence, China
- Chongqing University of Posts and Telecommunications, China (former)
According to our database1,
Hao Huang authored at least 15 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
Inductive Meta-Deep Reinforcement Learning for Traffic Signal Control Considering Heterogeneity in Traffic Environments.
IEEE Trans. Veh. Technol., January, 2026
Secure Downlink Transmission in RIS-Assisted JT-CoMP NOMA Networks With Transceiver Hardware Impairments.
IEEE Internet Things J., 2026
Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models.
CAAI Trans. Intell. Technol., 2026
Fundamental Limits of Moving User Localization in Near-Field XL-RIS Assisted OTFS Systems.
Proceedings of the 2026 IEEE Wireless Communications and Networking Conference, 2026
2025
On-Demand Customized Bus Line Optimization in Large-Scale Traffic Networks: A Column Generation Approach.
IEEE Internet Things J., 2025
2024
Intersec2vec-TSC: Intersection Representation Learning for Large-Scale Traffic Signal Control.
IEEE Trans. Intell. Transp. Syst., July, 2024
Cooperative Optimization of Traffic Signals and Vehicle Speed Using a Novel Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., June, 2024
Optimization for Customized Bus Stop Planning, Order Schedule, and Routing Design in On-Demand Urban Mobility.
IEEE Internet Things J., March, 2024
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
2023
Reinforcement learning for energy efficiency improvement in UAV-BS access networks: A knowledge transfer scheme.
Eng. Appl. Artif. Intell., April, 2023
Network-Scale Traffic Signal Control via Multiagent Reinforcement Learning With Deep Spatiotemporal Attentive Network.
IEEE Trans. Cybern., 2023
Train a central traffic prediction model using local data: A spatio-temporal network based on federated learning.
Eng. Appl. Artif. Intell., 2023
2022
A Hierarchical Spatio-Temporal Cooperative Reinforcement Learning Approach for Traffic Signal Control.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2020
On-Demand Channel Bonding in Heterogeneous WLANs: A Multi-Agent Deep Reinforcement Learning Approach.
Sensors, 2020
Energy Efficient 3-D UAV Control for Persistent Communication Service and Fairness: A Deep Reinforcement Learning Approach.
IEEE Access, 2020