48 citations · 71 across the 13 of their papers we have counts for
14 papers
Forty Shades of Blue: Quality-Diversity Alignment via Mode-Conditioned Reinforcement Learning
Jiayi Yuan, Hangoo Kang, James Jihao Liu +4
A notable byproduct of LLM alignment training is mode collapse: the progressive loss of output diversity that narrows a model's expressivity at inference time. This degradation is…
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…
Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-site Wearables
Jiayi Shao, Jiaying Ye, Shengyao Liu +4
Wearables are widely used for mobile health monitoring, and photoplethysmography (PPG) is a key sensing modality for heart rate and related physiological measurements. However, pub…
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…
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…
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 (…
Set Phasers to Stun: Beaming Power and Control to Mobile Robots with Laser Light
Charles J. Carver, Hadleigh Schwartz, Toma Itagaki +7
We present Phaser, a flexible system that directs narrow-beam laser light to moving robots for concurrent wireless power delivery and communication. We design a semi-automatic cali…
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…
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…
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…
AVELA -- A Vision for Engineering Literacy & Access: Understanding Why Technology Alone Is Not Enough
Kyle Johnson, Vicente Arroyos, Celeste Garcia +6
Unequal technology access for Black and Latine communities has been a persistent economic, social justice, and human rights issue despite increased technology accessibility due to…
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…
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…
Exploring and Characterizing Large Language Models For Embedded System Development and Debugging
Zachary Englhardt, Richard Li, Dilini Nissanka +6
Large language models (LLMs) have shown remarkable abilities to generate code, however their ability to develop software for embedded systems, which requires cross-domain knowledge…