Controller Design for an Automobile Steer-By-Wire System. - Guangyu Zhu; Haohan Yang; Fan Yu (ISIE, 2019)

Recognition of Driver Braking Intensity of EHB System Using a Hybrid Learning Approach. - Haohan Yang; Chuyo Kaku; Fan Yu (IV, 2020)

A fully integrated GaAs HBT power amplifier with enhanced efficiency for 5-GHz WLAN applications. - Haohan Yang; Heng You; Shushan Qiao (IEICE Electron. Express, 2022)

An Ultra-Small Area and High-Sensitivity Wireless Receiver for ISM and MICS Band Application. - Wenya Chen; Haohan Yang; Shushan Qiao (IEEE Access, 2023)

Robust Lane Change Decision Making for Autonomous Vehicles: An Observation Adversarial Reinforcement Learning Approach. - Xiangkun He; Haohan Yang; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Veh., 2023)

Robust Decision Making for Autonomous Vehicles at Highway On-Ramps: A Constrained Adversarial Reinforcement Learning Approach. - Xiangkun He; Baichuan Lou; Haohan Yang; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Air traffic controllers' mental fatigue recognition: A multi-sensor information fusion-based deep learning approach. - Xiaoqing Yu; Chun-Hsien Chen; Haohan Yang (Adv. Eng. Informatics, 2023)

Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation. - Jingda Wu; Yanxin Zhou; Haohan Yang; Zhiyu Huang; Chen Lv (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation. - Lie Yang; Haohan Yang; Bin-Bin Hu; Yan Wang; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2023)

Steering authority allocation strategy for human-machine shared control based on driver take-over feasibility. - Chengrui Su; Haohan Yang; Jie Li 028; Xiaodong Wu (Comput. Electr. Eng., 2024)

Personalized robotic control via constrained multi-objective reinforcement learning. - Xiangkun He; Zhongxu Hu; Haohan Yang; Chen Lv (Neurocomputing, 2024)

Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach. - Haohan Yang; Haochen Liu; Zhongxu Hu; Anh-Tu Nguyen; Thierry-Marie Guerra; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion. - Haohan Yang; Jingda Wu; Zhongxu Hu; Chen Lv (IEEE Trans. Ind. Electron., 2024)

Video-Based Driver Drowsiness Detection With Optimised Utilization of Key Facial Features. - Lie Yang; Haohan Yang; Henglai Wei; Zhongxu Hu; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2024)

Human-Guided Deep Reinforcement Learning for Optimal Decision Making of Autonomous Vehicles. - Jingda Wu; Haohan Yang; Lie Yang; Yi Huang; Xiangkun He; Chen Lv (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Quantitative Estimation of Driver Cognitive Workload: A Dual-Stage Learning Approach. - Jieyu Zhu; Chen Lv; Yanli Ma; Haohan Yang; Yaping Zhang (IEEE Trans. Intell. Transp. Syst., 2024)

Cognitive workload quantification for air traffic controllers: An ensemble semi-supervised learning approach. - Xiaoqing Yu; Chun-Hsien Chen; Haohan Yang (Adv. Eng. Informatics, 2025)

Human operators' cognitive workload recognition with a dual attention-enabled multimodal fusion framework. - Xiaoqing Yu; Haohan Yang; Chun-Hsien Chen (Expert Syst. Appl., 2025)

Enhancing task incremental continual learning: integrating prompt-based feature selection with pre-trained vision-language model. - Lie Yang; Haohan Yang; Xiangkun He; Wenhui Huang 001; Chen Lv (Knowl. Based Syst., 2025)

Hybrid-Prediction Integrated Planning for Autonomous Driving. - Haochen Liu; Zhiyu Huang; Wenhui Huang 001; Haohan Yang; Xiaoyu Mo; Chen Lv (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Human-Guided Continual Learning for Personalized Decision-Making of Autonomous Driving. - Haohan Yang; Yanxin Zhou; Jingda Wu; Haochen Liu; Lie Yang; Chen Lv (IEEE Trans. Intell. Transp. Syst., 2025)

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving. - Haochen Liu; Tianyu Li; Haohan Yang; Li Chen; Caojun Wang; Ke Guo; Haochen Tian; Hongchen Li; Hongyang Li; Chen Lv (CoRR, 2025)