Conversation modeling: how the 3D aspect can influence collaborative interpretation. - Priscilla Ferronato; Zhaoyuan Su; Stan Ruecker (NordiCHI, 2018)

Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications. - Zhaoyuan Su; Mayara Costa Figueiredo; Jueun Jo; Kai Zheng 002; Yunan Chen (AMIA, 2020)

The Lived Experience of Child-Owned Wearables: Comparing Children's and Parents' Perspectives on Activity Tracking. - Isil Oygür; Zhaoyuan Su; Daniel A. Epstein; Yunan Chen (CHI, 2021)

A scoping review of qualitative research in JAMIA: past contributions and opportunities for future work. - Mustafa I. Hussain; Mayara Costa Figueiredo; Brian D. Tran; Zhaoyuan Su; Stephen Molldrem; Elizabeth V. Eikey; Yunan Chen (J. Am. Medical Informatics Assoc., 2021)

NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. - Sajjadur Rahman; Mangesh Bendre; Yuyang Liu; Shichu Zhu; Zhaoyuan Su; Karrie Karahalios; Aditya G. Parameswaran (Proc. VLDB Endow., 2021)

Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data. - Kathleen H. Pine; Claus Bossen; Naja L. Holten Møller; Milagros Miceli; Alex Jiahong Lu; Yunan Chen; Leah Horgan; Zhaoyuan Su; Gina Neff; Melissa Mazmanian (CHI Extended Abstracts, 2022)

Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. - Zhaoyuan Su; Sheng Di; Ali Murat Gok; Yue Cheng 001; Franck Cappello (DRBSD@SC, 2022)

"What is Your Envisioned Future?": Toward Human-AI Enrichment in Data Work of Asthma Care. - Zhaoyuan Su; Lu He; Sunit P. Jariwala; Kai Zheng 002; Yunan Chen (Proc. ACM Hum. Comput. Interact., 2022)

Caring for Children's Health and Wellbeing Through Understanding and Designing for Health Data Literacy. - Zhaoyuan Su (IDC, 2023)

Understanding the Benefits and Challenges of Using Large Language Model-based Conversational Agents for Mental Well-being Support. - Zilin Ma; Yiyang Mei; Zhaoyuan Su (CoRR, 2023)

Mobile Apps for Children's Health and Wellbeing: Design Features and Future Opportunities. - Jamie Lee; Zhaoyuan Su; Yunan Chen (CoRR, 2023)

Methods for Family-Centered Design: Bridging the Gap Between Research and Practice. - Bengisu Cagiltay; Hui-Ru Ho; Kaiwen Sun; Zhaoyuan Su; Yuxing Wu; Olivia K. Richards; Qiao Jin 002; Junnan Yu; Jerry Alan Fails; Jason C. Yip 001; Jodi Forlizzi (CHI Extended Abstracts, 2024)

Evaluating the Experience of LGBTQ+ People Using Large Language Model Based Chatbots for Mental Health Support. - Zilin Ma; Yiyang Mei; Yinru Long; Zhaoyuan Su; Krzysztof Z. Gajos (CHI, 2024)

Creating Safe Places: Understanding the Lived Experiences of Families Managing Cystic Fibrosis in Young Children. - Zhaoyuan Su; Sunil P. Kamath; Pornchai Tirakitsoontorn; Yunan Chen (CHI, 2024)

AffirmativeAI: Towards LGBTQ+ Friendly Audit Frameworks for Large Language Models. - Yinru Long; Zilin Ma; Yiyang Mei; Zhaoyuan Su (CoRR, 2024)

Data-Driven Technology for Children's Health and Wellbeing: A Systematic Review. - Zhaoyuan Su; Yunan Chen (Found. Trends Hum. Comput. Interact., 2024)

The Hidden Burden: Encountering and Managing (Unintended) Stigma in Children with Serious Illnesses. - Zhaoyuan Su; Sunil P. Kamath; Pornchai Tirakitsoontorn; Yunan Chen (Proc. ACM Hum. Comput. Interact., 2024)

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; Ali Anwar 001; Yue Cheng 001 (Proc. VLDB Endow., 2024)

λScale: Enabling Fast Scaling for Serverless Large Language Model Inference. - Minchen Yu; Rui Yang; Chaobo Jia; Zhaoyuan Su; Sheng Yao; Tingfeng Lan; Yuchen Yang; Yue Cheng 001; Wei Wang 030; Ao Wang; Ruichuan Chen (CoRR, 2025)

Towards Efficient LLM Storage Reduction via Tensor Deduplication and Delta Compression. - Zirui Wang; Tingfeng Lan; Zhaoyuan Su; Juncheng Yang; Yue Cheng (CoRR, 2025)

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates. - Tingfeng Lan; Yusen Wu; Bin Ma; Zhaoyuan Su; Rui Yang; Tekin Bicer; Dong Li 001; Yue Cheng 001 (CoRR, 2025)

Efficient and Workload-Aware LLM Serving via Runtime Layer Swapping and KV Cache Resizing. - Zhaoyuan Su; Tingfeng Lan; Zirui Wang; Juncheng Yang; Yue Cheng (CoRR, 2025)