Zobrazeno 1 - 10
of 531
pro vyhledávání: '"Wang Jiyao"'
In real-world driving scenarios, multiple states occur simultaneously due to individual differences and environmental factors, complicating the analysis and estimation of driver states. Previous studies, limited by experimental design and analytical
Externí odkaz:
http://arxiv.org/abs/2412.13574
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 towards higher levels of vehicle automation, challenges still exist, as
Externí odkaz:
http://arxiv.org/abs/2410.21086
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 psychotherapy has also attracted increasingly more attention. However, the f
Externí odkaz:
http://arxiv.org/abs/2409.05703
Autor:
Wang, Jiyao, Dvornek, Nicha C., Duan, Peiyu, Staib, Lawrence H., Ventola, Pamela, Duncan, James S.
Task-based fMRI uses actions or stimuli to trigger task-specific brain responses and measures them using BOLD contrast. Despite the significant task-induced spatiotemporal brain activation fluctuations, most studies on task-based fMRI ignore the task
Externí odkaz:
http://arxiv.org/abs/2406.12065
Remote photoplethysmography (rPPG) has been widely applied to measure heart rate from face videos. To increase the generalizability of the algorithms, domain generalization (DG) attracted increasing attention in rPPG. However, when rPPG is extended t
Externí odkaz:
http://arxiv.org/abs/2405.06201
Autor:
Duan, Peiyu, Dvornek, Nicha C., Wang, Jiyao, Eilbott, Jeffrey, Du, Yuexi, Sukhodolsky, Denis G., Duncan, James S.
Children with Autism Spectrum Disorder (ASD) frequently exhibit comorbid anxiety, which contributes to impairment and requires treatment. Therefore, it is critical to investigate co-occurring autism and anxiety with functional imaging tools to unders
Externí odkaz:
http://arxiv.org/abs/2407.00008
Autor:
Lu, Hao, Niu, Xuesong, Wang, Jiyao, Wang, Yin, Hu, Qingyong, Tang, Jiaqi, Zhang, Yuting, Yuan, Kaishen, Huang, Bin, Yu, Zitong, He, Dengbo, Deng, Shuiguang, Chen, Hao, Chen, Yingcong, Shan, Shiguang
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 language understanding, it is critical to evaluate the performance of d
Externí odkaz:
http://arxiv.org/abs/2403.05916
Insufficiency of training data is a persistent issue in medical image analysis, especially for task-based functional magnetic resonance images (fMRI) with spatio-temporal imaging data acquired using specific cognitive tasks. In this paper, we propose
Externí odkaz:
http://arxiv.org/abs/2308.15564
Range anxiety is a major concern of battery electric vehicles (BEVs) users or potential users. Previous work has explored the influential factors of distance-related range anxiety. However, time-related range anxiety has rarely been explored. The tim
Externí odkaz:
http://arxiv.org/abs/2306.05768
Although the rapid development of battery technology has greatly increased the range of battery electric vehicle (BEV), the range anxiety is still a major concern of BEV users or potential users. Previous work has proposed a framework explaining the
Externí odkaz:
http://arxiv.org/abs/2301.10076