Haohan Yang
Orcid: 0000-0002-1545-2793
According to our database1,
Haohan Yang
authored at least 16 papers
between 2019 and 2024.
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Bibliography
2024
Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., November, 2024
Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features.
IEEE Trans. Intell. Transp. Syst., July, 2024
Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion.
IEEE Trans. Ind. Electron., May, 2024
Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach.
IEEE Trans. Intell. Transp. Syst., February, 2024
Neurocomputing, January, 2024
Steering authority allocation strategy for human-machine shared control based on driver take-over feasibility.
Comput. Electr. Eng., 2024
2023
IEEE Trans. Intell. Transp. Syst., December, 2023
Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Air traffic controllers' mental fatigue recognition: A multi-sensor information fusion-based deep learning approach.
Adv. Eng. Informatics, August, 2023
Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., April, 2023
Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach.
IEEE Trans. Intell. Veh., January, 2023
An Ultra-Small Area and High-Sensitivity Wireless Receiver for ISM and MICS Band Application.
IEEE Access, 2023
2022
A fully integrated GaAs HBT power amplifier with enhanced efficiency for 5-GHz WLAN applications.
IEICE Electron. Express, 2022
2020
Recognition of Driver Braking Intensity of EHB System Using a Hybrid Learning Approach.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
2019
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019