Yu Huang

According to our database, Yu Huang authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.

Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang

CoRR, 2024

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.

Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang

CoRR, 2024

2023

Function Call Graph Context Encoding for Neural Source Code Summarization.

Aakash Bansal, Zachary Eberhart, Zachary Karas, Yu Huang, Collin McMillan

IEEE Trans. Software Eng., September, 2023

CirFix: Automated Hardware Repair and its Real-World Applications.

Priscila Santiesteban, Yu Huang, Westley Weimer, Hammad Ahmad

IEEE Trans. Software Eng., July, 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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Modeling Programmer Attention as Scanpath Prediction.

Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study.

Yueke Zhang, Kevin Leach, Yu Huang

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

2022

COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning.

Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang

CoRR, 2022

ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection.

Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach, Yu Huang

CoRR, 2022

CirFix: automatically repairing defects in hardware design code.

Hammad Ahmad, Yu Huang, Westley Weimer

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

Toward an Objective Measure of Developers' Cognitive Activities.

Zohreh Sharafi, Yu Huang, Kevin Leach, Westley Weimer

ACM Trans. Softw. Eng. Methodol., 2021

Connecting the dots: rethinking the relationship between code and prose writing with functional connectivity.

Zachary Karas, Andrew Jahn, Westley Weimer, Yu Huang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good.

Yu Huang, Denae Ford, Thomas Zimmermann

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Applying Automated Program Repair to Dataflow Programming Languages.

Yu Huang, Hammad Ahmad, Stephanie Forrest, Westley Weimer

Proceedings of the 10th IEEE/ACM International Workshop on Genetic Improvement, 2021

2020

Genetic Improvement @ ICSE 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

ACM SIGSOFT Softw. Eng. Notes, 2020

Biases and differences in code review using medical imaging and eye-tracking: genders, humans, and machines.

Yu Huang, Kevin Leach, Zohreh Sharafi, Nicholas McKay, Tyler Santander, Westley Weimer

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

A Human Study of Comprehension and Code Summarization.

Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Neurological divide: an fMRI study of prose and code writing.

Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, Kevin Leach

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair.

Yu Huang, Kevin Angstadt, Kevin Leach, Westley Weimer

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Trustworthiness Perceptions in Code Review: An Eye-tracking Study.

Ian Bertram, Jack Hong, Yu Huang, Westley Weimer, Zohreh Sharafi

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019

The State and Future of Genetic Improvement.

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

ACM SIGSOFT Softw. Eng. Notes, 2019

Understanding behavioral dynamics of social anxiety among college students through smartphone sensors.

Jiaqi Gong, Yu Huang, Philip I. Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes

Inf. Fusion, 2019

Distilling neural representations of data structure manipulation using fMRI and fNIRS.

Yu Huang, Xinyu Liu, Ryan Krueger, Tyler Santander, Xiaosu Hu, Kevin Leach, Westley Weimer

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

Physiological changes over the course of cognitive bias modification for social anxiety.

Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari, Mawulolo K. Ameko, Karl C. Fua, Philip I. Chow, Yu Huang, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

<i>Daehr</i>: A Discriminant Analysis Framework for Electronic Health Record Data and an Application to Early Detection of Mental Health Disorders.

Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes

ACM Trans. Intell. Syst. Technol., 2017

Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data.

Yu Huang, Jiaqi Gong, Mark Rucker, Philip Chow, Karl C. Fua, Matthew S. Gerber, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 1st Workshop on Digital Biomarkers, 2017

Monitoring social anxiety from mobility and communication patterns.

Mehdi Boukhechba, Yu Huang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes

Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016

Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies.

Haoyi Xiong, Yu Huang, Laura E. Barnes, Matthew S. Gerber

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Assessing social anxiety using gps trajectories and point-of-interest data.

Yu Huang, Haoyi Xiong, Kevin Leach, Yuyan Zhang, Philip Chow, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms.

Philip Chow, Wesley Bonelli, Yu Huang, Karl C. Fua, Bethany A. Teachman, Laura E. Barnes

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2015

Optimizing energy efficient low-swing interconnect for sub-threshold FPGAs.

He Qi, Oluseyi A. Ayorinde, Yu Huang, Benton H. Calhoun

Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

Using island-style bi-directional intra-CLB routing in low-power FPGAs.

Oluseyi A. Ayorinde, He Qi, Yu Huang, Benton H. Calhoun

Proceedings of the 25th International Conference on Field Programmable Logic and Applications, 2015

M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data.

Jinghe Zhang, Haoyi Xiong, Yu Huang, Hao Wu, Kevin Leach, Laura E. Barnes

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015