activity
20232026
most citedFrom Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

48 citations · 69 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AR2026

Embedded Arena: Iterative Optimization via Hardware Feedback

Zhihan Zhang, Alexander Le Metzger, Jiuyang Lyu +10

Embedded devices from wildlife monitoring stations to clinical wearables require local AI inference due to latency, communication, or privacy constraints. Optimizing models for het…

cs.CV2026

EgoReasoner: Learning Egocentric 4D Reasoning via Task-Adaptive Structured Thinking

Fangrui Zhu, Yunfeng Xi, Jianmo Ni +9

Egocentric video understanding is inherently complex due to the dynamic 4D nature of the environment, where camera motion and object displacements necessitate a continuous re-evalu…

cs.HC2025

SnappyMeal: Design and Longitudinal Evaluation of a Multimodal AI Food Logging Application

Liam Bakar, Zachary Englhardt, Vidya Srinivas +4

Food logging, both self-directed and prescribed, plays a critical role in uncovering correlations between diet, medical, fitness, and health outcomes. Through conversations with nu…

cs.CL2025

Thinking While Speaking: Inference-Time Knowledge Transfer for Responsive and Intelligent Conversational Voice Agents

Vidya Srinivas, Zachary Englhardt, Vikram Iyer +1

Voice agents face a fundamental tension: the reasoning, retrieval, and tool use that make foundation models capable are iterative and slow, while conversational interaction demands…

cs.AI2025★ 3 cited

Sustainability assessment using multimodal AI agents

Zhihan Zhang, Alexander Metzger, Yuxuan Mei +7

Reducing the rapidly growing environmental impact of the computing industry requires assessing the emissions of electronics at scale. However, a traditional life cycle assessment (…

cs.HC2025

Incorporating Sustainability in Electronics Design: Obstacles and Opportunities

Zachary Englhardt, Felix Hähnlein, Yuxuan Mei +6

Life cycle assessment (LCA) is a methodology for holistically measuring the environmental impact of a product from initial manufacturing to end-of-life disposal. However, the exten…

cs.HC2024★ 5 cited

Biodegradable Interactive Materials

Zhihan Zhang, Mallory Parker, Kuotian Liao +8

The sense of touch is fundamental to how we interact with the physical and digital world. Conventional interactive surfaces and tactile interfaces use electronic sensors embedded i…

cs.HC2024★ 12 cited

LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems

Chu Li, Zhihan Zhang, Michael Saugstad +7

Crowdsourcing platforms have transformed distributed problem-solving, yet quality control remains a persistent challenge. Traditional quality control measures, such as prescreening…

cs.HC2023★ 1 cited

DeltaLCA: Comparative Life-Cycle Assessment for Electronics Design

Zhihan Zhang, Felix Hähnlein, Yuxuan Mei +4

Reducing the environmental footprint of electronics and computing devices requires new tools that empower designers to make informed decisions about sustainability during the desig…

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…