Dengbo He

Orcid: 0000-0003-4359-4083

According to our database1, Dengbo He authored at least 17 papers between 2016 and 2024.

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Bibliography

2024
Hierarchical Style-Aware Domain Generalization for Remote Physiological Measurement.
IEEE J. Biomed. Health Informatics, March, 2024

GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing.
CoRR, 2024

2023
Modeling the Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., December, 2023

Preciser comparison: Augmented multi-layer dynamic contrastive strategy for text2text question classification.
Neurocomputing, August, 2023

Anticipatory Driving in Automated Vehicles: The Effects of Driving Experience and Distraction.
Hum. Factors, June, 2023

Multi-Aspect co-Attentional Collaborative Filtering for extreme multi-label text classification.
Knowl. Based Syst., 2023

Evaluation and Control Model Design of Human Factors for Autonomous Driving Systems.
CoRR, 2023

Range Anxiety Among Battery Electric Vehicle Users: Both Distance and Waiting Time Matter.
CoRR, 2023

Influential Factors of Users' Trust in the Range Estimation Systems of Battery Electric Vehicles - A Survey Study in China.
CoRR, 2023

HMI Design for Chain-Braking Event Based on V2V Communication.
Proceedings of the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023

The Influence of Display Location on Motion Sickness: An Analysis Based on 6-DoF SVC Model.
Proceedings of the Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2023

2022
The Influence of Visual-Manual Distractions on Anticipatory Driving.
Hum. Factors, 2022

Modeling Human Driver Behaviors When Following Autonomous Vehicles: An Inverse Reinforcement Learning Approach.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Classification of Driver Cognitive Load based on Physiological Data: Exploring Recurrent Neural Networks.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Driver Cognitive Load Classification Based on Physiological Data - Case Study 7.
Proceedings of the Intelligent Computing for Interactive System Design: Statistics, 2021

2019
High Cognitive Load Assessment in Drivers Through Wireless Electroencephalography and the Validation of a Modified N-Back Task.
IEEE Trans. Hum. Mach. Syst., 2019

2016
Smart Driver Monitoring: When Signal Processing Meets Human Factors: In the driver's seat.
IEEE Signal Process. Mag., 2016


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