Publications
I will try adding pdf for all the papers asap :) Alternatively, you can find almost all pdfs from my Google Scholar. If you cannot find any, please feel free to email me.
I am also working on a Dataset page - we always support data sharing in our community.
2025
Who’s Pushing the Code: An Exploration of GitHub Impersonation
Yueke Zhang, Anda Liang, Xiaohan Wang, Pamela Wisniewski, Fengwei Zhang, Kevin Leach, Yu Huang
ICSE 2025: 47th International Conference on Software EngineeringStudying Programmers Without Programming: Investigating Expertise Using Resting State fMRI
Zachary Karas, Benjamin Gold, Violet Zhou, Noah Reardon, Thad Polk, Catie Chang, Yu Huang
ICSE 2025: 47th International Conference on Software Engineering
2024
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
VL/HCC 2024: 40th IEEE Symposium on Visual Languages and Human-Centric Computing“Math Is a Pain!”: Understanding Challenges and Needs of the Machine Learning Community on Stack Overflow
Zihan Fang, Yu Huang
CSCW 2024: The 27th ACM Conference on Computer-Supported Cooperative Work and Social ComputingA Controlled Experiment in Age and Gender Bias When Reading Technical Articles in Software Engineering
Anda Liang, Emerson Murphy-Hill, Westley Weimer, Yu Huang
TSE 2024: ACM Transactions on Software Engineering
[Paper PDF]A Tale of Two Comprehensions? Studying Human Attention During Code Summarization
Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Li, Collin McMillan, Yu Huang
TOSEM 2024: ACM Transactions on Software Engineering and Methodology
[Paper PDF]ChatGPT Giving Relationship Advice - How Reliable Is It?
Haonan Hou, Kevin Leach, Yu Huang
AAAI - ICWSM 2024: The 18th International AAAI Conference On Web and Social Media
[Paper PDF]EyeTrans: Merging Human and Machine Attention for Neural Code Summarization
Yifan Zhang, Eric Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
FSE 2024: The ACM International Conference on the Foundations of Software Engineering
[Paper PDF]Do Machines and Humans Focus on Similar Code? Exploring Explainability of LLMs in Code Summarization
Eric Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach , Yu Huang
ICPC RENE Track 2024: The 32nd IEEE/ACM International Conference on Program Comprehension, Replication and Negative Results Track
[Paper PDF]Breaking the Flow: A Study of Interruptions During Software Activities
Yimeng Ma, Yu Huang, Kevin Leach
ACM SIGSOFT Distinguished Paper Award
ICSE 2024: The 46th IEEE/ACM International Conference on Software Engineering
[Paper PDF]CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE
Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-jun Li
ICSE Demo Track 2024.
[Paper PDF]Does ChatGPT Help With Introductory Programming? An Experiment of Students Using ChatGPT in CS1
Garrett Xue, Hanlin Chen, Robert Tairas, Gina Bai, Yu Huang
ICSE-SEET 2024: the IEEE/ACM International Conference on Software Engineering, Software Engineering Education and Training Companion
[Paper PDF]Genetic Improvement for DNN Security
Hunter Baxter, Yu Huang, Kevin Leach
Best Presentation Award
GI2024: 2024 IEEE/ACM International Workshop on Genetic Improvement
[Paper PDF]
2023
A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention
Zihan Fang, Madeline Endres, Thomas Zimmermann, Denae Ford, Westley Weimer, Kevin Leach, Yu Huang
ACM SIGSOFT Distinguished Paper Award
FSE 2023: Foundations of Software Engineering.
[Paper PDF]Function Call Graph Context Encoding for Neural Source Code Summarization
Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan
TSE 2023: Transcations of Software Engineering
[Paper PDF]Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study
Yueke Zhang, Kevin Leach, Yu Huang
ESEM 2023.
[Paper PDF]Modeling Programmer Attention as Scanpath Prediction
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
ASE-NIER 2023
The 38th IEEE/ACM International Conference on Automated Software Engineering, The New Ideas and Emerging Results Track. [Paper PDF]A Preliminary Interview: Understanding XR Developers’ Needs towards Open-Source Accessibility Support
Tiger Ji, Yaxin Hu, Yu Huang, Ruofei Du, Yuhang Zhao
VRW 2023: 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW 2023).
[Paper PDF]CirFix: Automated Hardware Repair and Its Real-World Applications
Priscila Santiesteban, Yu Huang, Westley Weimer, Hammad Ahmad
TSE 2023: Transactions of Software Engineering [Paper PDF]ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection
Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach Yu Huang
InteNSE 2023: The 1st Workshop on Interpretability and Robustness in Neural Software Engineering (co-located with ICSE 2023).
[Paper PDF]
2022
Leveraging Fuzzy System to Reduce Uncertainty of Decision Making in Software Engineering Automation
Yueke Zhang, Yu Huang
GECCO 2022: Proceedings of the Genetic and Evolutionary Computation Conference Companion (co-located with ICSE 2023).
[Paper PDF]CirFix: Automatically Repairing Defects in Hardware Design Code
Hammad Ahmad, Yu Huang, Westley Weimer
ASPLOS 2022: International Conference on Architectural Support for Programming Languages and Operating Systems
[Paper PDF]
2021
Connecting the Dots: Rethinking the Relationship between Code and Prose Writing with Functional Connectivity
Zachary Karas, Andrew Jahn, Westley Weimer, Yu Huang
FSE 2021: The 2021 ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE)
[Paper PDF]Applying Automated Program Repair to Dataflow Programming Languages
Yu Huang, Hammad Ahmad, Stephanie Forrest, Westley Weimer
GI2021: 2021 IEEE/ACM International Workshop on Genetic Improvement
[Paper PDF]Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good
Yu Huang, Denae Ford, Thomas Zimmermann
ICSE 2021: International Conference on Software Engineering
[Paper PDF]Towards an Objective Measure of Developers’ Cognitive Activities
Zohreh Sharafi, Yu Huang , Kevin Leach, Westley Weimer
TOSEM 2021: In ACM Transactions on Software Engineering and Methodology
[Paper PDF]
2020
Trustworthiness Perceptions in Code Review: An Eye-tracking Study
Ian Bertram, Jack Hong, Yu Huang , Westley Weimer, Zohreh Sharafi
ESEM-ERV 2020: In Empirical Software Engineering and Measurement 2020 Emerging Results and Vision track.
[Paper PDF]Biases and Differences in Code Reviews using Medical Imaging and Eye-Tracking: Genders, Humans, and Machines
Yu Huang , Kevin Leach, Zohreh Sharafi, Nicholas McKay, Tyler Santander, and Westley Weimer
FSE 2020: In Proceedings of Foundations of Software Engineering (ESEC/FSE), Sacramento, CA, USA, 2020.
[Paper PDF]A Human Study of Comprehension and Code Summarization
Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang
ICPC 2020: In Proceedings of the 28th IEEE/ACM International Conference on Program Comprehension. Seoul, South Korea, 2020.
[Paper PDF]Neurological Divide: An fMRI Study of Prose and Code Writing
Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, and Kevin Leach
ICSE 2020: In Proceedings of the 42nd ACM/IEEE International Conference on Software Engineering, Seoul, South Korea, 2020.
[Paper PDF]Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair
Yu Huang , Kevin Angstadt, Kevin Leach, and Westley Weimer
APR 2020: In Proceedings of the 1st International Workshop on Automated Program Repair (co-located with ICSE 2020), Seoul, South Korea, 2020.
[Paper PDF]
2019
Distilling Neural Reresentations of Data Structure Manipulation using fMRI and fNIRS
Yu Huang, Xinyu Liu, Ryan Krueger, Tyler Santander, Xiaosu Hu, Kevin Leach, Westley Weimer
ICSE 2019: In Proceedings of the 41st ACM/IEEE International Conference on Software Engineering, Montreal, Canada, 2019.
ACM SIGSOFT Distinguished Paper Award
[Paper PDF]Understanding Behavioral Dynamics of Social Anxiety Among College Students Through Smartphone Sensors
Jiaqi Gong, Yu Huang, Philip I Chow, Karl Fua, Matthew Gerber, Bethany Teachman, Laura Barnes
IF 2019: In Transactions of Information Fusion, 49:57–68.
2018
Physiological Changes Over the Course of Cognitive Bias Modification for Social Anxiety
Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari, Mawulolo K Ameko, Karl Fua, Philip I Chow, Yu Huang, Bethany A Teachman, and Laura E Barnes
BHI 2018: In 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, pages 422–425.I Did OK, But Did I Like It? Using Ecological Momentary Assessment to Examine Perceptions of Social Interactions Associated with Severity of Social Anxiety and Depression.
Emily C Geyer, Karl C Fua, Katharine E Daniel, Philip I Chow, Wes Bonelli,Yu Huang, Laura E Barnes, and Bethany A Teachman
Behavior Therapy 2018: Behanvior Therapy 49, no. 6 (2018): 866-880.
2017 and Before
Fun fact about me : Before I started my PhD in Computer Science in 2017, I had worked on many other interesting projects including Affective Computing and VLSI Design. These experience still help me on my research in Software Engineering (e.g., developers’ cognition and productivity, automated bug repair for hardware description language):