M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data. - Jinghe Zhang; Haoyi Xiong; Yu Huang 015; Hao Wu; Kevin Leach; Laura E. Barnes (IEEE BigData, 2015)

Using island-style bi-directional intra-CLB routing in low-power FPGAs. - Oluseyi A. Ayorinde; He Qi; Yu Huang 015; Benton H. Calhoun (FPL, 2015)

Optimizing energy efficient low-swing interconnect for sub-threshold FPGAs. - He Qi; Oluseyi A. Ayorinde; Yu Huang 015; Benton H. Calhoun (FPL, 2015)

DEMONS: an integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms. - Philip Chow; Wesley Bonelli; Yu Huang 015; Karl C. Fua; Bethany A. Teachman; Laura E. Barnes (UbiComp Adjunct, 2016)

Assessing social anxiety using gps trajectories and point-of-interest data. - Yu Huang 015; Haoyi Xiong; Kevin Leach; Yuyan Zhang; Philip Chow; Karl C. Fua; Bethany A. Teachman; Laura E. Barnes (UbiComp, 2016)

Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. - Haoyi Xiong; Yu Huang 015; Laura E. Barnes; Matthew S. Gerber (UbiComp, 2016)

Monitoring social anxiety from mobility and communication patterns. - Mehdi Boukhechba; Yu Huang 015; Philip Chow; Karl C. Fua; Bethany A. Teachman; Laura E. Barnes (UbiComp/ISWC Adjunct, 2017)

Discovery of Behavioral Markers of Social Anxiety from Smartphone Sensor Data. - Yu Huang 015; Jiaqi Gong; Mark Rucker; Philip Chow; Karl C. Fua; Matthew S. Gerber; Bethany A. Teachman; Laura E. Barnes (DigitalBioMarker@MobiSys, 2017)

Daehr: 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 015; Kevin Leach; Laura E. Barnes (ACM Trans. Intell. Syst. Technol., 2017)

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 015; Bethany A. Teachman; Laura E. Barnes (BHI, 2018)

Distilling neural representations of data structure manipulation using fMRI and fNIRS. - Yu Huang 015; Xinyu Liu; Ryan Krueger; Tyler Santander; Xiaosu Hu; Kevin Leach; Westley Weimer (ICSE, 2019)

Understanding behavioral dynamics of social anxiety among college students through smartphone sensors. - Jiaqi Gong; Yu Huang 015; Philip I. Chow; Karl C. Fua; Matthew S. Gerber; Bethany A. Teachman; Laura E. Barnes (Inf. Fusion, 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 015; Gabin An (ACM SIGSOFT Softw. Eng. Notes, 2019)

Trustworthiness Perceptions in Code Review: An Eye-tracking Study. - Ian Bertram; Jack Hong; Yu Huang 015; Westley Weimer; Zohreh Sharafi (ESEM, 2020)

Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair. - Yu Huang 015; Kevin Angstadt; Kevin Leach; Westley Weimer (ICSE (Workshops), 2020)

Neurological divide: an fMRI study of prose and code writing. - Ryan Krueger; Yu Huang 015; Xinyu Liu; Tyler Santander; Westley Weimer; Kevin Leach (ICSE, 2020)

A Human Study of Comprehension and Code Summarization. - Sean Stapleton; Yashmeet Gambhir; Alexander LeClair; Zachary Eberhart; Westley Weimer; Kevin Leach; Yu Huang 015 (ICPC, 2020)

Biases and differences in code review using medical imaging and eye-tracking: genders, humans, and machines. - Yu Huang 015; Kevin Leach; Zohreh Sharafi; Nicholas McKay; Tyler Santander; Westley Weimer (ESEC/SIGSOFT FSE, 2020)

Genetic Improvement @ ICSE 2020. - William B. Langdon; Westley Weimer; Justyna Petke; Erik M. Fredericks; Seongmin Lee 001; Emily Winter 001; Michail Basios; Myra B. Cohen; Aymeric Blot; Markus Wagner 007; Bobby R. Bruce; Shin Yoo; et al. (ACM SIGSOFT Softw. Eng. Notes, 2020)

Applying Automated Program Repair to Dataflow Programming Languages. - Yu Huang 015; Hammad Ahmad; Stephanie Forrest; Westley Weimer (GI@ICSE, 2021)

Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good. - Yu Huang 015; Denae Ford; Thomas Zimmermann 001 (ICSE, 2021)

Connecting the dots: rethinking the relationship between code and prose writing with functional connectivity. - Zachary Karas; Andrew Jahn; Westley Weimer; Yu Huang 015 (ESEC/SIGSOFT FSE, 2021)

Toward an Objective Measure of Developers' Cognitive Activities. - Zohreh Sharafi; Yu Huang 015; Kevin Leach; Westley Weimer (ACM Trans. Softw. Eng. Methodol., 2021)

Understanding User Cognition: From Spatial Ability to Code Writing and Review. - Yu Huang 015 (2021)

Supplementary Material for Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good. - Yu Huang 015; Denae Ford; Tom Zimmermann 001 (Zenodo, 2021)

CirFix: automatically repairing defects in hardware design code. - Hammad Ahmad; Yu Huang 015; Westley Weimer (ASPLOS, 2022)

ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection. - Yifan Zhang; Junwen Yang; Haoyu Dong 003; Qingchen Wang; Huajie Shao; Kevin Leach; Yu Huang 015 (CoRR, 2022)

COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning. - Yifan Zhang; Chen Huang 006; Yueke Zhang; Kevin Cao; Scott Thomas Andersen; Huajie Shao; Kevin Leach; Yu Huang 015 (CoRR, 2022)

Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study. - Yueke Zhang; Kevin Leach; Yu Huang 015 (ESEM, 2023)

Modeling Programmer Attention as Scanpath Prediction. - Aakash Bansal; Chia-Yi Su; Zachary Karas; Yifan Zhang; Yu Huang 015; Toby Jia-Jun Li; Collin McMillan (ASE, 2023)

A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention. - Zihan Fang; Madeline Endres; Thomas Zimmermann 001; Denae Ford; Westley Weimer; Kevin Leach; Yu Huang 015 (ESEC/SIGSOFT FSE, 2023)

CirFix: Automated Hardware Repair and its Real-World Applications. - Priscila Santiesteban; Yu Huang 015; Westley Weimer; Hammad Ahmad (IEEE Trans. Software Eng., 2023)

Function Call Graph Context Encoding for Neural Source Code Summarization. - Aakash Bansal; Zachary Eberhart; Zachary Karas; Yu Huang 015; Collin McMillan (IEEE Trans. Software Eng., 2023)

Genetic Improvement for DNN Security. - Hunter Baxter; Yu Huang 015; Kevin Leach (GI@ICSE, 2024)

Breaking the Flow: A Study of Interruptions During Software Engineering Activities. - Yimeng Ma; Yu Huang 015; Kevin Leach (ICSE, 2024)

CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE. - Ningzhi Tang; Junwen An; Meng Chen; Aakash Bansal; Yu Huang 015; Collin McMillan; Toby Jia-Jun Li (ICSE Companion, 2024)

Does ChatGPT Help With Introductory Programming?An Experiment of Students Using ChatGPT in CS1. - Yuankai Xue; Hanlin Chen; Gina R. Bai; Robert Tairas; Yu Huang 015 (SEET@ICSE, 2024)

ChatGPT Giving Relationship Advice - How Reliable Is It? - Haonan Hou; Kevin Leach; Yu Huang 015 (ICWSM, 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 015 (ICPC, 2024)

Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking. - Ningzhi Tang; Meng Chen; Zheng Ning; Aakash Bansal; Yu Huang 015; Collin McMillan; Toby Jia-Jun Li (VL/HCC, 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 015; Collin McMillan; Toby Jia-Jun Li (CoRR, 2024)

COMCAT: Leveraging Human Judgment to Improve Automatic Documentation and Summarization. - Skyler Grandel; Scott Thomas Andersen; Yu Huang 015; Kevin Leach (CoRR, 2024)

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning. - Eric Li; Yifan Zhang; Yu Huang 015; Kevin Leach (CoRR, 2024)

Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification. - Gordon Lim; Stefan Larson; Yu Huang 015; Kevin Leach (CoRR, 2024)

"Math is a pain!": Understanding challenges and needs of the Machine Learning community on Stack Overflow. - Zihan Fang; Yu Huang 015 (Proc. ACM Hum. Comput. Interact., 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 015 (Proc. ACM Softw. Eng., 2024)

A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization. - Zachary Karas; Aakash Bansal; Yifan Zhang; Toby Jia-Jun Li; Collin McMillan; Yu Huang 015 (ACM Trans. Softw. Eng. Methodol., 2024)

A Controlled Experiment in Age and Gender Bias When Reading Technical Articles in Software Engineering. - Anda Liang; Emerson R. Murphy-Hill; Westley Weimer; Yu Huang 015 (IEEE Trans. Software Eng., 2024)

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning. - Jiliang Li; Yifan Zhang; Yu Huang 015; Kevin Leach (EuroS&P, 2025)

A Comparative Study on ChatGPT and Checklist as Support Tools for Unit Testing Education. - Zihan Fang; Jiliang Li; Anda Liang; Gina R. Bai; Yu Huang 015 (SIGSOFT FSE Companion, 2025)

Enhancing Code LLM Training with Programmer Attention. - Yifan Zhang; Chen Huang 006; Zachary Karas; Dung Thuy Nguyen; Kevin Leach; Yu Huang 015 (SIGSOFT FSE Companion, 2025)

AI-Mediated Code Comment Improvement. - Maria Dhakal; Chia-Yi Su; Robert Wallace; Chris Fakhimi; Aakash Bansal; Toby Jia-Jun Li; Yu Huang 015; Collin McMillan (CoRR, 2025)

A Human Study of Cognitive Biases in Web Application Security. - Yuwei Yang; Skyler Grandel; Daniel Balasubramanian; Yu Huang 015; Kevin Leach (CoRR, 2025)

Programmer Visual Attention During Context-Aware Code Summarization. - Robert Wallace; Aakash Bansal; Zachary Karas; Ningzhi Tang; Yu Huang 015; Toby Jia-Jun Li; Collin McMillan (IEEE Trans. Software Eng., 2025)

Human Attention During Localization of Memory Bugs in C Programs. - Emory Smith; Robert Wallace; Matthew Robison; Yu Huang 015; Collin McMillan (CoRR, 2025)

Exploring Direct Instruction and Summary-Mediated Prompting in LLM-Assisted Code Modification. - Ningzhi Tang; Emory Smith; Yu Huang 015; Collin McMillan; Toby Jia-Jun Li (CoRR, 2025)

Context-aware code summary generation. - Chia-Yi Su; Aakash Bansal; Yu Huang 015; Toby Jia-Jun Li; Collin McMillan (J. Syst. Softw., 2026)