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ORCIDChenyang Yang 0002
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): Peking University, Beijing, China
- affiliation: Peking University, Beijing, China
Other persons with the same name
- Chenyang Yang 0001
![[0000-0003-0058-0765]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0058-0765")
— Beihang University, School of Electronics and Information Engineering, Beijing, China - Chenyang Yang 0003 — Xi'an Jiaotong University, Faculty of Electronic and Information Engineering, China
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2020 – today
- 2024
[j1]Yuan-An Xiao, Chenyang Yang, Bo Wang, Yingfei Xiong:
Accelerating Patch Validation for Program Repair With Interception-Based Execution Scheduling. IEEE Trans. Software Eng. 50(3): 618-635 (2024)- [c8]Wanqin Ma, Chenyang Yang, Christian Kästner:
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs. CAIN 2024: 166-171 - [c7]Jenny T. Liang, Chenyang Yang, Brad A. Myers:
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges. ICSE 2024: 52:1-52:13 - 2023
- [c6]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
Capabilities for Better ML Engineering. SafeAI@AAAI 2023 - [c5]Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs. EMNLP (Findings) 2023: 13504-13519 - [c4]Yuan-an Xiao, Chenyang Yang, Bo Wang, Yingfei Xiong:
ExpressAPR: Efficient Patch Validation for Java Automated Program Repair Systems. ASE 2023: 2038-2041 - [i7]Jenny T. Liang, Chenyang Yang, Brad A. Myers:
Understanding the Usability of AI Programming Assistants. CoRR abs/2303.17125 (2023) - [i6]Yuan-an Xiao, Chenyang Yang, Bo Wang, Yingfei Xiong:
Accelerating Patch Validation for Program Repair with Interception-Based Execution Scheduling. CoRR abs/2305.03955 (2023) - [i5]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, Ihita Mandal, Jeremiah Milbauer, Xiaolin Ni, Namrata Padmanabhan, Subhashini Ramkumar, Alexis Sudjianto, Jordan Taylor, Ying-Jui Tseng, Patricia Vaidos, Zhijin Wu, Wei Wu, Chenyang Yang:
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs. CoRR abs/2307.10168 (2023) - [i4]Chenyang Yang, Rishabh Rustogi, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
Beyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs. CoRR abs/2310.09668 (2023) - [i3]Wanqin Ma, Chenyang Yang, Christian Kästner:
(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs. CoRR abs/2311.11123 (2023) - 2022
- [c3]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner:
Data Leakage in Notebooks: Static Detection and Better Processes. ASE 2022: 30:1-30:12 - [i2]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner:
Data Leakage in Notebooks: Static Detection and Better Processes. CoRR abs/2209.03345 (2022) - [i1]Chenyang Yang, Rachel A. Brower-Sinning, Grace A. Lewis, Christian Kästner, Tongshuang Wu:
Capabilities for Better ML Engineering. CoRR abs/2211.06409 (2022) - 2021
- [c2]Chenyang Yang, Shurui Zhou, Jin L. C. Guo, Christian Kästner:
Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code. ASE 2021: 304-316 - [c1]Yifan Chen, Chenyang Yang, Xin Zhang, Yingfei Xiong, Hao Tang, Xiaoyin Wang, Lu Zhang:
Accelerating Program Analyses in Datalog by Merging Library Facts. SAS 2021: 77-101
Coauthor Index
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