Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code. - Chenyang Yang 002; Shurui Zhou; Jin L. C. Guo; Christian Kästner (ASE, 2021)

Accelerating Program Analyses in Datalog by Merging Library Facts. - Yifan Chen; Chenyang Yang 002; Xin Zhang 035; Yingfei Xiong 001; Hao Tang; Xiaoyin Wang; Lu Zhang 023 (SAS, 2021)

Data Leakage in Notebooks: Static Detection and Better Processes. - Chenyang Yang 002; Rachel A. Brower-Sinning; Grace A. Lewis; Christian Kästner (ASE, 2022)

Capabilities for Better ML Engineering. - Chenyang Yang 002; Rachel A. Brower-Sinning; Grace A. Lewis; Christian Kästner; Tongshuang Wu (SafeAI@AAAI, 2023)

Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs. - Chenyang Yang 002; Rishabh Rustogi; Rachel A. Brower-Sinning; Grace A. Lewis; Christian Kästner; Tongshuang Wu (EMNLP (Findings), 2023)

ExpressAPR: Efficient Patch Validation for Java Automated Program Repair Systems. - Yuan-an Xiao; Chenyang Yang 002; Bo Wang 050; Yingfei Xiong 001 (ASE, 2023)

Understanding the Usability of AI Programming Assistants. - Jenny T. Liang; Chenyang Yang 002; Brad A. Myers (CoRR, 2023)

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. - Tongshuang Wu; Haiyi Zhu; Maya Albayrak; Alexis Axon; Amanda Bertsch; Wenxing Deng; Ziqi Ding; Bill Guo; Sireesh Gururaja; Tzu-Sheng Kuo; Jenny T. Liang; Ryan Liu 001; et al. (CoRR, 2023)

(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs. - Wanqin Ma; Chenyang Yang 002; Christian Kästner (CAIN, 2024)

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges. - Jenny T. Liang; Chenyang Yang 002; Brad A. Myers (ICSE, 2024)

What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing. - Chenyang Yang 002; Yining Hong; Grace A. Lewis; Tongshuang Wu; Christian Kästner (ASE, 2024)

Accelerating Patch Validation for Program Repair With Interception-Based Execution Scheduling. - Yuan-An Xiao; Chenyang Yang 002; Bo Wang 050; Yingfei Xiong 001 (IEEE Trans. Software Eng., 2024)

SPHERE: An Evaluation Card for Human-AI Systems. - Dora Zhao; Qianou Ma; Xinran Zhao; Chenglei Si; Chenyang Yang 002; Ryan Louie; Ehud Reiter; Diyi Yang; Tongshuang Wu (ACL (Findings), 2025)

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. - Tongshuang Wu; Haiyi Zhu; Maya Albayrak; Alexis Axon; Amanda Bertsch; Wenxing Deng; Ziqi Ding; Boyuan Guo; Sireesh Gururaja; Tzu-Sheng Kuo; Jenny T. Liang; Ryan Liu 001; et al. (CHI Extended Abstracts, 2025)

Orbit: A Framework for Designing and Evaluating Multi-objective Rankers. - Chenyang Yang 002; Tesi Xiao; Michael Shavlovsky; Christian Kästner; Tongshuang Wu (IUI, 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)

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree. - Yilin Zhang; Xinran Zhao; Zora Zhiruo Wang; Chenyang Yang 002; Jiayi Wei; Tongshuang Wu (CoRR, 2025)

Understanding Prompt Programming Tasks and Questions. - Jenny T. Liang; Chenyang Yang 002; Agnia Sergeyuk; Travis D. Breaux; Brad A. Myers (CoRR, 2025)