activity
20232025
most citedExploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

28 citations · 55 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SY2025

SpeechAgent: An End-to-End Mobile Infrastructure for Speech Impairment Assistance

Haowei Lou, Chengkai Huang, Hye-young Paik +4

Speech is essential for human communication, yet millions of people face impairments such as dysarthria, stuttering, and aphasia conditions that often lead to social isolation and…

cs.HC2025★ 21 cited

Vision-Based Multimodal Interfaces: A Survey and Taxonomy for Enhanced Context-Aware System Design

Yongquan 'Owen' Hu, Jingyu Tang, Xinya Gong +6

The recent surge in artificial intelligence, particularly in multimodal processing technology, has advanced human-computer interaction, by altering how intelligent systems perceive…

cs.HC2024★ 1 cited

Exploring Device-Oriented Video Encryption for Hierarchical Privacy Protection in AR Content Sharing

Yongquan Hu, Dongsheng Zheng, Kexin Nie +3

Content sharing across multiple Augmented Reality (AR) displays is becoming commonplace, enhancing team communication and collaboration through devices like smartphones and AR glas…

eess.SP2024

Leafeon: Towards Accurate, Robust and Low-cost Leaf Water Content Sensing Using mmWave Radar

Mark Cardamis, Hong Jia, Hao Qian +6

Plant sensing plays an important role in modern smart agriculture and the farming industry. Remote radio sensing allows for monitoring essential indicators of plant health, such as…

cs.HC2024★ 3 cited

Towards Enhanced Context Awareness with Vision-based Multimodal Interfaces

Yongquan Hu, Wen Hu, Aaron Quigley

Vision-based Interfaces (VIs) are pivotal in advancing Human-Computer Interaction (HCI), particularly in enhancing context awareness. However, there are significant opportunities f…

cs.HC2024★ 28 cited

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

Yongquan Hu, Shuning Zhang, Ting Dang +4

Integrating physiological signals such as electroencephalogram (EEG), with other data such as interview audio, may offer valuable multimodal insights into psychological states or n…

cs.HC2024

MultiSurf-GPT: Facilitating Context-Aware Reasoning with Large-Scale Language Models for Multimodal Surface Sensing

Yongquan Hu, Black Sun, Pengcheng An +3

Surface sensing is widely employed in health diagnostics, manufacturing and safety monitoring. Advances in mobile sensing affords this potential for context awareness in mobile com…

cs.CY2023★ 2 cited

Test-takers have a say: understanding the implications of the use of AI in language tests

Dawen Zhang, Thong Hoang, Shidong Pan +6

Language tests measure a person's ability to use a language in terms of listening, speaking, reading, or writing. Such tests play an integral role in academic, professional, and im…