Yu Huang

Orcid: 0000-0003-2730-5077

Affiliations:
  • Vanderbilt University, Department of Computer Science, Nashville, TN, USA
  • University of Michigan, Ann Arbor, MI, USA (PhD 2021)
  • University of Virginia, Department of Computer Science, Charlottesville, VA, USA


According to our database1, Yu Huang authored at least 50 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
A Controlled Experiment in Age and Gender Bias When Reading Technical Articles in Software Engineering.
IEEE Trans. Software Eng., October, 2024

A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization.
ACM Trans. Softw. Eng. Methodol., September, 2024

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization.
Proc. ACM Softw. Eng., 2024

"Math is a pain!": Understanding challenges and needs of the Machine Learning community on Stack Overflow.
Proc. ACM Hum. Comput. Interact., 2024

Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification.
CoRR, 2024

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning.
CoRR, 2024

Context-aware Code Summary Generation.
CoRR, 2024

COMCAT: Leveraging Human Judgment to Improve Automatic Documentation and Summarization.
CoRR, 2024

Programmer Visual Attention During Context-Aware Code Summarization.
CoRR, 2024

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions.
CoRR, 2024

Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking.
Proceedings of the 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024

Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

ChatGPT Giving Relationship Advice - How Reliable Is It?
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Does ChatGPT Help With Introductory Programming?An Experiment of Students Using ChatGPT in CS1.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering Education and Training, 2024

CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Breaking the Flow: A Study of Interruptions During Software Engineering Activities.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Genetic Improvement for DNN Security.
Proceedings of the IEEE/ACM International Workshop on Genetic Improvement, 2024

2023
Function Call Graph Context Encoding for Neural Source Code Summarization.
IEEE Trans. Software Eng., September, 2023

CirFix: Automated Hardware Repair and its Real-World Applications.
IEEE Trans. Software Eng., July, 2023

A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention.
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.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study.
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.
CoRR, 2022

ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection.
CoRR, 2022

CirFix: automatically repairing defects in hardware design code.
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
Supplementary Material for Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good.
Dataset, February, 2021

Understanding User Cognition: From Spatial Ability to Code Writing and Review.
PhD thesis, 2021

Toward an Objective Measure of Developers' Cognitive Activities.
ACM Trans. Softw. Eng. Methodol., 2021

Connecting the dots: rethinking the relationship between code and prose writing with functional connectivity.
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.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Applying Automated Program Repair to Dataflow Programming Languages.
Proceedings of the 10th IEEE/ACM International Workshop on Genetic Improvement, 2021

2020
Genetic Improvement @ ICSE 2020.
ACM SIGSOFT Softw. Eng. Notes, 2020

Biases and differences in code review using medical imaging and eye-tracking: genders, humans, and machines.
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.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Neurological divide: an fMRI study of prose and code writing.
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.
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.
Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

2019
The State and Future of Genetic Improvement.
ACM SIGSOFT Softw. Eng. Notes, 2019

Understanding behavioral dynamics of social anxiety among college students through smartphone sensors.
Inf. Fusion, 2019

Distilling neural representations of data structure manipulation using fMRI and fNIRS.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
Physiological changes over the course of cognitive bias modification for social anxiety.
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.
ACM Trans. Intell. Syst. Technol., 2017

Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data.
Proceedings of the 1st Workshop on Digital Biomarkers, 2017

Monitoring social anxiety from mobility and communication patterns.
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.
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.
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.
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.
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.
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.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


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