Yu Huang

76 papers A* 8A 7B 4Misc 2Journal 39Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Context-aware code summary generation.
J. Syst. Softw.
Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2026 A* conf
How Well Can 3D Accessibility Guidelines Support XR Development? An Interview Study with XR Practitioners in Industry.
CHI
Daniel Killough, Tiger F. Ji, Kexin Zhang, Yaxin Hu, Yu Huang, Ruofei Du, Yuhang Zhao
2026 J jnl
Investigating the Feasibility of Conducting Webcam-Based Eye-Tracking Studies in Code Comprehension.
IEEE Trans. Software Eng.
Zihan Fang, Robert Wallace, Zachary Karas, Toby Jia-Jun Li, Collin McMillan, Yu Huang
2026 J jnl
Semantic Neighborhood Density and Eye Gaze Time in Human Programmer Attention.
CoRR
Robert Wallace, Emory Michaels, Yu Huang, Collin McMillan
2025 — conf
A Comparative Study on ChatGPT and Checklist as Support Tools for Unit Testing Education.
SIGSOFT FSE Companion
Zihan Fang, Jiliang Li, Anda Liang, Gina R. Bai, Yu Huang
2025 J jnl
A Human Study of Cognitive Biases in Web Application Security.
CoRR
Yuwei Yang, Skyler Grandel, Daniel Balasubramanian, Yu Huang, Kevin Leach
2025 J jnl
AI-Mediated Code Comment Improvement.
CoRR
Maria Dhakal, Chia-Yi Su, Robert Wallace, Chris Fakhimi, Aakash Bansal, Toby Jia-Jun Li, Yu Huang, Collin McMillan
2025 J jnl
CodeGrad: Integrating Multi-Step Verification with Gradient-Based LLM Refinement.
CoRR
Yueke Zhang, Yifan Zhang, Kevin Leach, Yu Huang
2025 J jnl
DPO-F+: Aligning Code Repair Feedback with Developers' Preferences.
CoRR
Zihan Fang, Yifan Zhang, Yueke Zhang, Kevin Leach, Yu Huang
2025 — conf
Enhancing Code LLM Training with Programmer Attention.
SIGSOFT FSE Companion
Yifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang
2025 J jnl
Enhancing Code LLM Training with Programmer Attention.
CoRR
Yifan Zhang, Chen Huang, Zachary Karas, Dung Thuy Nguyen, Kevin Leach, Yu Huang
2025 B conf
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification.
VL/HCC
Ningzhi Tang, Emory Smith, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 J jnl
Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification.
CoRR
Ningzhi Tang, Emory Smith, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 J jnl
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention.
CoRR
Yifan Zhang, Chen Huang, Yueke Zhang, Jiahao Zhang, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2025 J jnl
Human Attention During Localization of Memory Bugs in C Programs.
CoRR
Emory Smith, Robert Wallace, Matthew Robison, Yu Huang, Collin McMillan
2025 A conf
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.
EuroS&P
Jiliang Li, Yifan Zhang, Yu Huang, Kevin Leach
2025 J jnl
NaturalEdit: Code Modification through Direct Interaction with Adaptive Natural Language Representation.
CoRR
Ningzhi Tang, David Meininger, Gelei Xu, Yiyu Shi, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2025 A conf
Optimizing Code Runtime Performance Through Context-Aware Retrieval-Augmented Generation.
ICPC
Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang
2025 J jnl
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation.
CoRR
Manish Acharya, Yifan Zhang, Kevin Leach, Yu Huang
2025 J jnl
Pre-Training Representations of Binary Code Using Contrastive Learning.
Trans. Mach. Learn. Res.
Yifan Zhang, Chen Huang, Yueke Zhang, Huajie Shao, Kevin Leach, Yu Huang
2025 J jnl
Programmer Visual Attention During Context-Aware Code Summarization.
IEEE Trans. Software Eng.
Robert Wallace, Aakash Bansal, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2025 A* conf
Programmers' Visual Attention on Function Call Graphs During Code Summarization.
ASE
Samantha McLoughlin, Zachary Karas, Robert Wallace, Aakash Bansal, Collin McMillan, Yu Huang
2024 J jnl
"Math is a pain!": Understanding challenges and needs of the Machine Learning community on Stack Overflow.
Proc. ACM Hum. Comput. Interact.
Zihan Fang, Yu Huang
2024 J jnl
A Controlled Experiment in Age and Gender Bias When Reading Technical Articles in Software Engineering.
IEEE Trans. Software Eng.
Anda Liang, Emerson R. Murphy-Hill, Westley Weimer, Yu Huang
2024 J jnl
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions.
CoRR
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization.
ACM Trans. Softw. Eng. Methodol.
Zachary Karas, Aakash Bansal, Yifan Zhang, Toby Jia-Jun Li, Collin McMillan, Yu Huang
2024 A* conf
Breaking the Flow: A Study of Interruptions During Software Engineering Activities.
ICSE
Yimeng Ma, Yu Huang, Kevin Leach
2024 J jnl
COMCAT: Leveraging Human Judgment to Improve Automatic Documentation and Summarization.
CoRR
Skyler Grandel, Scott Thomas Andersen, Yu Huang, Kevin Leach
2024 A conf
ChatGPT Giving Relationship Advice - How Reliable Is It?
ICWSM
Haonan Hou, Kevin Leach, Yu Huang
2024 — conf
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE.
ICSE Companion
Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 J jnl
Context-aware Code Summary Generation.
CoRR
Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2024 B conf
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking.
VL/HCC
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
2024 A conf
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
ICPC
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
CoRR
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
2024 — conf
Does ChatGPT Help With Introductory Programming?An Experiment of Students Using ChatGPT in CS1.
SEET@ICSE
Yuankai Xue, Hanlin Chen, Gina R. Bai, Robert Tairas, Yu Huang
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
CoRR
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 J jnl
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
Proc. ACM Softw. Eng.
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
2024 — conf
Genetic Improvement for DNN Security.
GI@ICSE
Hunter Baxter, Yu Huang, Kevin Leach
2024 J jnl
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.
CoRR
Eric Li, Yifan Zhang, Yu Huang, Kevin Leach
2024 J jnl
Programmer Visual Attention During Context-Aware Code Summarization.
CoRR
Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2024 J jnl
Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification.
CoRR
Gordon Lim, Stefan Larson, Yu Huang, Kevin Leach
2023 — conf
A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention.
ESEC/SIGSOFT FSE
Zihan Fang, Madeline Endres, Thomas Zimmermann, Denae Ford, Westley Weimer, Kevin Leach, Yu Huang
2023 J jnl
CirFix: Automated Hardware Repair and its Real-World Applications.
IEEE Trans. Software Eng.
Priscila Santiesteban, Yu Huang, Westley Weimer, Hammad Ahmad
2023 J jnl
Function Call Graph Context Encoding for Neural Source Code Summarization.
IEEE Trans. Software Eng.
Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan
2023 A conf
Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study.
ESEM
Yueke Zhang, Kevin Leach, Yu Huang
2023 A* conf
Modeling Programmer Attention as Scanpath Prediction.
ASE
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2023 J jnl
Modeling Programmer Attention as Scanpath Prediction.
CoRR
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
2022 J jnl
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection.
CoRR
Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach, Yu Huang
2022 J jnl
COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning.
CoRR
Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang
2022 A* conf
CirFix: automatically repairing defects in hardware design code.
ASPLOS
Hammad Ahmad, Yu Huang, Westley Weimer
2021 — conf
Applying Automated Program Repair to Dataflow Programming Languages.
GI@ICSE
Yu Huang, Hammad Ahmad, Stephanie Forrest, Westley Weimer
2021 — conf
Connecting the dots: rethinking the relationship between code and prose writing with functional connectivity.
ESEC/SIGSOFT FSE
Zachary Karas, Andrew Jahn, Westley Weimer, Yu Huang
2021 A* conf
Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good.
ICSE
Yu Huang, Denae Ford, Thomas Zimmermann
2021 J jnl
Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good.
CoRR
Yu Huang, Denae Ford, Thomas Zimmermann
2021 J jnl
Toward an Objective Measure of Developers' Cognitive Activities.
ACM Trans. Softw. Eng. Methodol.
Zohreh Sharafi, Yu Huang, Kevin Leach, Westley Weimer
2021 — —
Understanding User Cognition: From Spatial Ability to Code Writing and Review.
Yu Huang
2020 A conf
A Human Study of Comprehension and Code Summarization.
ICPC
Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang
2020 — conf
Biases and differences in code review using medical imaging and eye-tracking: genders, humans, and machines.
ESEC/SIGSOFT FSE
Yu Huang, Kevin Leach, Zohreh Sharafi, Nicholas McKay, Tyler Santander, Westley Weimer
2020 J jnl
Genetic Improvement @ ICSE 2020.
CoRR
William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten
2020 J jnl
Genetic Improvement @ ICSE 2020.
ACM SIGSOFT Softw. Eng. Notes
William B. Langdon, Westley Weimer, Justyna Petke, Erik M. Fredericks, Seongmin Lee, Emily Winter, Michail Basios, Myra B. Cohen, Aymeric Blot, Markus Wagner, Bobby R. Bruce, Shin Yoo, Simos Gerasimou, Oliver Krauss, Yu Huang, Michael C. Gerten
2020 A* conf
Neurological divide: an fMRI study of prose and code writing.
ICSE
Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, Kevin Leach
2020 — conf
Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair.
ICSE (Workshops)
Yu Huang, Kevin Angstadt, Kevin Leach, Westley Weimer
2020 A conf
Trustworthiness Perceptions in Code Review: An Eye-tracking Study.
ESEM
Ian Bertram, Jack Hong, Yu Huang, Westley Weimer, Zohreh Sharafi
2019 A* conf
Distilling neural representations of data structure manipulation using fMRI and fNIRS.
ICSE
Yu Huang, Xinyu Liu, Ryan Krueger, Tyler Santander, Xiaosu Hu, Kevin Leach, Westley Weimer
2019 J jnl
The State and Future of Genetic Improvement.
CoRR
William B. Langdon, Westley Weimer, Christopher Steven Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric M. Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An
2019 J jnl
The State and Future of Genetic Improvement.
ACM SIGSOFT Softw. Eng. Notes
William B. Langdon, Westley Weimer, Christopher Steven Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric M. Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An
2019 J jnl
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors.
Inf. Fusion
Jiaqi Gong, Yu Huang, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
2018 — conf
Physiological changes over the course of cognitive bias modification for social anxiety.
BHI
Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari, Mawulolo K. Ameko, Karl C. Fua, Philip I. Chow, Yu Huang, Bethany A. Teachman, Laura E. Barnes
2017 — conf
Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data.
DigitalBioMarker@MobiSys
Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
2017 — conf
Monitoring social anxiety from mobility and communication patterns.
UbiComp/ISWC Adjunct
Mehdi Boukhechba, Yu Huang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
2016 Misc conf
Assessing social anxiety using gps trajectories and point-of-interest data.
UbiComp
Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
2016 — conf
DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms.
UbiComp Adjunct
Philip Chow, Wesley Bonelli, Yu Huang, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
2016 Misc conf
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies.
UbiComp
Haoyi Xiong, Yu Huang, Laura E. Barnes, Matthew S. Gerber
2015 — conf
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data.
IEEE BigData
Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes
2015 B conf
Optimizing energy efficient low-swing interconnect for sub-threshold FPGAs.
FPL
He Qi, Oluseyi A. Ayorinde, Yu Huang, Benton H. Calhoun
2015 B conf
Using island-style bi-directional intra-CLB routing in low-power FPGAs.
FPL
Oluseyi A. Ayorinde, He Qi, Yu Huang, Benton H. Calhoun