Chenyang Yang

Orcid: 0000-0001-5016-7296

Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA
  • Peking University, Beijing, China (former)


According to our database1, Chenyang Yang authored at least 22 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
"I Don't Think RAI Applies to My Model" - Engaging Non-champions with Sticky Stories for Responsible AI Work.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use.
ACM Trans. Comput. Hum. Interact., August, 2025

Supplementary Materials for "Designing Abandabot: When Does Open Source Dependency Abandonment Matter?".
Dataset, August, 2025

Understanding Prompt Programming Tasks and Questions.
CoRR, July, 2025

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts.
CoRR, May, 2025

Differential Performance Fuzzing of Configuration Options.
Proceedings of the IEEE/ACM International Workshop on Search-Based and Fuzz Testing, 2025

Orbit: A Framework for Designing and Evaluating Multi-objective Rankers.
Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

SPHERE: An Evaluation Card for Human-AI Systems.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Accelerating Patch Validation for Program Repair With Interception-Based Execution Scheduling.
IEEE Trans. Software Eng., March, 2024

What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs.
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs.
CoRR, 2023

Understanding the Usability of AI Programming Assistants.
CoRR, 2023

ExpressAPR: Efficient Patch Validation for Java Automated Program Repair Systems.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Capabilities for Better ML Engineering.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022
Data Leakage in Notebooks: Static Detection and Better Processes.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
Accelerating Program Analyses in Datalog by Merging Library Facts.
Proceedings of the Static Analysis - 28th International Symposium, 2021

Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021


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