activity
20202025
most citedFrom Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

48 citations · 76 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Estimating Blood Pressure with a Camera: An Exploratory Study of Ambulatory Patients with Cardiovascular Disease

Theodore Curran, Chengqian Ma, Xin Liu +5

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is hindered by limited access and…

cs.AI2023★ 48 cited

From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

Zachary Englhardt, Chengqian Ma, Margaret E. Morris +7

Passively collected behavioral health data from ubiquitous sensors holds significant promise to provide mental health professionals insights from patient's daily lives; however, de…

cs.CV2023★ 3 cited

BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements

Girish Narayanswamy, Yujia Liu, Yuzhe Yang +4

Understanding of human visual perception has historically inspired the design of computer vision architectures. As an example, perception occurs at different scales both spatially…

eess.IV2023★ 9 cited

Rate-Perception Optimized Preprocessing for Video Coding

Chengqian Ma, Zhiqiang Wu, Chunlei Cai +5

In the past decades, lots of progress have been done in the video compression field including traditional video codec and learning-based video codec. However, few studies focus on…

cs.CV2021★ 3 cited

Automated Backend-Aware Post-Training Quantization

Ziheng Jiang, Animesh Jain, Andrew Liu +4

Quantization is a key technique to reduce the resource requirement and improve the performance of neural network deployment. However, different hardware backends such as x86 CPU, N…

cs.CV2020★ 13 cited

IA-MOT: Instance-Aware Multi-Object Tracking with Motion Consistency

Jiarui Cai, Yizhou Wang, Haotian Zhang +3

Multiple object tracking (MOT) is a crucial task in computer vision society. However, most tracking-by-detection MOT methods, with available detected bounding boxes, cannot effecti…