An Exploratory Study of Web Foraging to Understand and Support Programming Decisions. - Jane Hsieh; Michael Xieyang Liu; Brad A. Myers; Aniket Kittur (VL/HCC, 2018)

Popup: reconstructing 3D video using particle filtering to aggregate crowd responses. - Jean Y. Song; Stephan J. Lemmer; Michael Xieyang Liu; Shiyan Yan; Juho Kim 001; Jason J. Corso; Walter S. Lasecki (IUI, 2019)

Unakite: Scaffolding Developers' Decision-Making Using the Web. - Michael Xieyang Liu; Jane Hsieh; Nathan Hahn; Angelina Zhou; Emily Deng; Shaun Burley; Cynthia Bagier Taylor; Aniket Kittur; Brad A. Myers (UIST, 2019)

Tabs.do: Task-Centric Browser Tab Management. - Joseph Chee Chang; Yongsung Kim; Victor Miller; Michael Xieyang Liu; Brad A. Myers; Aniket Kittur (UIST, 2021)

To Reuse or Not To Reuse?: A Framework and System for Evaluating Summarized Knowledge. - Michael Xieyang Liu; Aniket Kittur; Brad A. Myers (Proc. ACM Hum. Comput. Interact., 2021)

Freedom to Choose: Understanding Input Modality Preferences of People with Upper-body Motor Impairments for Activities of Daily Living. - Franklin Mingzhe Li; Michael Xieyang Liu; Yang Zhang 041; Patrick Carrington (ASSETS, 2022)

Understanding How Programmers Can Use Annotations on Documentation. - Amber Horvath; Michael Xieyang Liu; River Hendriksen; Connor Shannon; Emma Paterson; Kazi Jawad; Andrew Macvean; Brad A. Myers (CHI, 2022)

Crystalline: Lowering the Cost for Developers to Collect and Organize Information for Decision Making. - Michael Xieyang Liu; Aniket Kittur; Brad A. Myers (CHI, 2022)

Wigglite: Low-cost Information Collection and Triage. - Michael Xieyang Liu; Andrew Kuznetsov; Yongsung Kim; Joseph Chee Chang; Aniket Kittur; Brad A. Myers (UIST, 2022)

Facilitating Counselor Reflective Learning with a Real-time Annotation tool. - Tianying Chen 001; Michael Xieyang Liu; Emily Ding; Emma O'Neil; Mansi Agarwal; Robert E. Kraut; Laura Dabbish (CHI, 2023)

"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models. - Michael Xieyang Liu; Advait Sarkar; Carina Negreanu; Benjamin G. Zorn; Jack Williams 001; Neil Toronto; Andrew D. Gordon 001 (CHI, 2023)

Selenite: Scaffolding Decision Making with Comprehensive Overviews Elicited from Large Language Models. - Michael Xieyang Liu; Tongshuang Wu; Tianying Chen 001; Franklin Mingzhe Li; Aniket Kittur; Brad A. Myers (CoRR, 2023)

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models. - Minsuk Kahng; Ian Tenney; Mahima Pushkarna; Michael Xieyang Liu; James Wexler; Emily Reif; Krystal Kallarackal; Minsuk Chang; Michael Terry; Lucas Dixon (CHI Extended Abstracts, 2024)

A Contextual Inquiry of People with Vision Impairments in Cooking. - Franklin Mingzhe Li; Michael Xieyang Liu; Shaun K. Kane; Patrick Carrington (CHI, 2024)

"We Need Structured Output": Towards User-centered Constraints on Large Language Model Output. - Michael Xieyang Liu; Frederick Liu; Alexander J. Fiannaca; Terry Koo; Lucas Dixon; Michael Terry; Carrie J. Cai (CHI Extended Abstracts, 2024)

Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models. - Michael Xieyang Liu; Tongshuang Wu; Tianying Chen 001; Franklin Mingzhe Li; Aniket Kittur; Brad A. Myers (CHI, 2024)

Sensemaking: What is it today? - Daniel M. Russell; Laura Koesten; Aniket Kittur; Nitesh Goyal; Michael Xieyang Liu (CHI Extended Abstracts, 2024)

In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker. - Savvas Petridis; Michael Xieyang Liu; Alexander J. Fiannaca; Vivian Tsai; Michael Terry; Carrie J. Cai (VL/HCC, 2024)

Tasks, Time, and Tools: Quantifying Online Sensemaking Efforts Through a Survey-based Study. - Andrew Kuznetsov; Michael Xieyang Liu; Aniket Kittur (CoRR, 2024)

The Evolution of LLM Adoption in Industry Data Curation Practices. - Crystal Qian; Michael Xieyang Liu; Emily Reif; Grady Simon; Nada Hussein; Nathan Clement; James Wexler; Carrie J. Cai; Michael Terry; Minsuk Kahng (CoRR, 2024)

LLM Adoption in Data Curation Workflows: Industry Practices and Insights. - Crystal Qian; Michael Xieyang Liu; Emily Reif; Grady Simon; Nada Hussein; Nathan Clement; James Wexler; Carrie J. Cai; Michael Terry; Minsuk Kahng (CHI Extended Abstracts, 2025)

Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities. - Hua Shen; Tiffany Knearem; Reshmi Ghosh; Michael Xieyang Liu; Andrés Monroy-Hernández; Tongshuang Wu; Diyi Yang; Yun Huang; Tanushree Mitra; Yang Li 058; Marti Hearst (CHI Extended Abstracts, 2025)

Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and Reasoning. - Michael Xieyang Liu; Savvas Petridis; Vivian Tsai; Alexander J. Fiannaca; Alex Olwal; Michael Terry; Carrie J. Cai (IUI, 2025)

LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models. - Minsuk Kahng; Ian Tenney; Mahima Pushkarna; Michael Xieyang Liu; James Wexler; Emily Reif; Krystal Kallarackal; Minsuk Chang; Michael Terry; Lucas Dixon (IEEE Trans. Vis. Comput. Graph., 2025)

AI LEGO: Scaffolding Cross-Functional Collaboration in Industrial Responsible AI Practices during Early Design Stages. - Muzhe Wu; Yanzhi Zhao; Shuyi Han; Michael Xieyang Liu; Hong Shen (CoRR, 2025)

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts. - Chenyang Yang 002; Yike Shi; Qianou Ma; Michael Xieyang Liu; Christian Kästner; Tongshuang Wu (CoRR, 2025)