4 citations · 6 across the 17 of their papers we have counts for
7 papers · 1 filter
STAHGNet: Modeling Hybrid-grained Heterogenous Dependency Efficiently for Traffic Prediction
Jiyao Wang, Zehua Peng, Yijia Zhang +2
Traffic flow prediction plays a critical role in the intelligent transportation system, and it is also a challenging task because of the underlying complex Spatio-temporal patterns…
Modeling Battery Electric Vehicle Users' Charging Decisions in Scenarios with Both Time-Related and Distance-Related Anxiety
Jiyao Wang, Wenbo Zhang, Xiao +3
As one of the most promising alternatives to internal combustion engine vehicles, battery electric vehicles (BEVs) have become increasingly prevalent in recent years. However, rang…
Revisiting Interactions of Multiple Driver States in Heterogenous Population and Cognitive Tasks
Jiyao Wang, Ange Wang, Song Yan +2
In real-world driving scenarios, multiple states occur simultaneously due to individual differences and environmental factors, complicating the analysis and estimation of driver st…
Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving
Jiyao Wang, Xiao Yang, Zhenyu Wang +4
Road safety remains a critical challenge worldwide, with approximately 1.35 million fatalities annually attributed to traffic accidents, often due to human errors. As we advance to…
The Influence of Task and Group Disparities over Users' Attitudes Toward Using Large Language Models for Psychotherapy
Qihang He, Jiyao Wang, Dengbo He
The population suffering from mental health disorders has kept increasing in recent years. With the advancements in large language models (LLMs) in diverse fields, LLM-based psycho…
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement
Jiyao Wang, Hao Lu, Ange Wang +4
Remote photoplethysmography (rPPG) has been widely applied to measure heart rate from face videos. To increase the generalizability of the algorithms, domain generalization (DG) at…
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing
Hao Lu, Xuesong Niu, Jiyao Wang +12
Multimodal large language models (MLLMs) are designed to process and integrate information from multiple sources, such as text, speech, images, and videos. Despite its success in l…