66 citations · 106 across the 4 of their papers we have counts for
4 papers
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask
Zhaoyuan Su, Ammar Ahmed, Zirui Wang +2
As the number of pre-trained machine learning (ML) models is growing exponentially, data reduction tools are not catching up. Existing data reduction techniques are not specificall…
Evaluating the Experience of LGBTQ+ People Using Large Language Model Based Chatbots for Mental Health Support
Zilin Ma, Yiyang Mei, Yinru Long +2
LGBTQ+ individuals are increasingly turning to chatbots powered by large language models (LLMs) to meet their mental health needs. However, little research has explored whether the…
Mobile Apps for Children's Health and Wellbeing: Design Features and Future Opportunities
Jamie Lee, Zhaoyuan Su, Yunan Chen
Mobile health apps hold great potential for promoting children's health and wellbeing. However, there is limited understanding of how these technologies are currently designed to s…
Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support
Zilin Ma, Yiyang Mei, Zhaoyuan Su
Conversational agents powered by large language models (LLM) have increasingly been utilized in the realm of mental well-being support. However, the implications and outcomes assoc…