Yu Huang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Introductory Programming

College Students

Top Venues

ESEC/SIGSOFT FSE

Publications

Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. CoRR (2024)
Aakash Bansal, Robert Wallace, Zachary Karas, Ningzhi Tang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
Programmer Visual Attention During Context-Aware Code Summarization. CoRR (2024)
Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions. CoRR (2024)
Haonan Hou, Kevin Leach, Yu Huang
ChatGPT Giving Relationship Advice - How Reliable Is It? ICWSM (2024)
Ningzhi Tang, Junwen An, Meng Chen, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE. ICSE Companion (2024)
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization. CoRR (2024)
Yimeng Ma, Yu Huang, Kevin Leach
Breaking the Flow: A Study of Interruptions During Software Engineering Activities. ICSE (2024)
Yuankai Xue, Hanlin Chen, Gina R. Bai, Robert Tairas, Yu Huang
Does ChatGPT Help With Introductory Programming?An Experiment of Students Using ChatGPT in CS1. SEET@ICSE (2024)
Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization. ICPC (2024)
Zihan Fang, Madeline Endres, Thomas Zimmermann, Denae Ford, Westley Weimer, Kevin Leach, Yu Huang
A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention. ESEC/SIGSOFT FSE (2023)
Priscila Santiesteban, Yu Huang, Westley Weimer, Hammad Ahmad
CirFix: Automated Hardware Repair and its Real-World Applications. IEEE Trans. Software Eng. 49 (7) (2023)
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
Modeling Programmer Attention as Scanpath Prediction. ASE (2023)
Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan
Function Call Graph Context Encoding for Neural Source Code Summarization. IEEE Trans. Software Eng. 49 (9) (2023)
Yueke Zhang, Kevin Leach, Yu Huang
Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study. ESEM (2023)
Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan
Modeling Programmer Attention as Scanpath Prediction. CoRR (2023)
Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach, Yu Huang
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection. CoRR (2022)
Hammad Ahmad, Yu Huang, Westley Weimer
CirFix: automatically repairing defects in hardware design code. ASPLOS (2022)
Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang
COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning. CoRR (2022)
Zachary Karas, Andrew Jahn, Westley Weimer, Yu Huang
Connecting the dots: rethinking the relationship between code and prose writing with functional connectivity. ESEC/SIGSOFT FSE (2021)
Yu Huang, Hammad Ahmad, Stephanie Forrest, Westley Weimer
Applying Automated Program Repair to Dataflow Programming Languages. GI@ICSE (2021)
Zohreh Sharafi, Yu Huang, Kevin Leach, Westley Weimer
Toward an Objective Measure of Developers' Cognitive Activities. ACM Trans. Softw. Eng. Methodol. 30 (3) (2021)
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
Genetic Improvement @ ICSE 2020. ACM SIGSOFT Softw. Eng. Notes 45 (4) (2020)
Yu Huang, Kevin Leach, Zohreh Sharafi, Nicholas McKay, Tyler Santander, Westley Weimer
Biases and differences in code review using medical imaging and eye-tracking: genders, humans, and machines. ESEC/SIGSOFT FSE (2020)
Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang
A Human Study of Comprehension and Code Summarization. ICPC (2020)
Ian Bertram, Jack Hong, Yu Huang, Westley Weimer, Zohreh Sharafi
Trustworthiness Perceptions in Code Review: An Eye-tracking Study. ESEM (2020)
Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, Kevin Leach
Neurological divide: an fMRI study of prose and code writing. ICSE (2020)
Yu Huang, Kevin Angstadt, Kevin Leach, Westley Weimer
Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair. ICSE (Workshops) (2020)
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
Genetic Improvement @ ICSE 2020. CoRR (2020)
Yu Huang, Xinyu Liu, Ryan Krueger, Tyler Santander, Xiaosu Hu, Kevin Leach, Westley Weimer
Distilling neural representations of data structure manipulation using fMRI and fNIRS. ICSE (2019)
Jiaqi Gong, Yu Huang, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
Understanding behavioral dynamics of social anxiety among college students through smartphone sensors. Inf. Fusion 49 (2019)
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
The State and Future of Genetic Improvement. CoRR (2019)
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
The State and Future of Genetic Improvement. ACM SIGSOFT Softw. Eng. Notes 44 (3) (2019)
Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari, Mawulolo K. Ameko, Karl C. Fua, Philip I. Chow, Yu Huang, Bethany A. Teachman, Laura E. Barnes
Physiological changes over the course of cognitive bias modification for social anxiety. BHI (2018)
Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes
Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. DigitalBioMarker@MobiSys (2017)
Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes
: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders. ACM Trans. Intell. Syst. Technol. 8 (3) (2017)
Mehdi Boukhechba, Yu Huang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
Monitoring social anxiety from mobility and communication patterns. UbiComp/ISWC Adjunct (2017)
Haoyi Xiong, Yu Huang, Laura E. Barnes, Matthew S. Gerber
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. UbiComp (2016)
Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
Assessing social anxiety using gps trajectories and point-of-interest data. UbiComp (2016)
Philip Chow, Wesley Bonelli, Yu Huang, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes
DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms. UbiComp Adjunct (2016)
Oluseyi A. Ayorinde, He Qi, Yu Huang, Benton H. Calhoun
Using island-style bi-directional intra-CLB routing in low-power FPGAs. FPL (2015)
He Qi, Oluseyi A. Ayorinde, Yu Huang, Benton H. Calhoun
Optimizing energy efficient low-swing interconnect for sub-threshold FPGAs. FPL (2015)
Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data. IEEE BigData (2015)