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Yu Huang 0015
Person information
- affiliation: University of Michigan, Ann Arbor, MI, USA
- affiliation: University of Virginia, Department of Computer Science, Charlottesville, VA, USA
Other persons with the same name
- Yu Huang — disambiguation page
- Yu Huang 0001 — Tsinghua University, Department of Computer Science and Technology, China
- Yu Huang 0002
— Nanjing University, Department of Computer Science and Technology, China
- Yu Huang 0003 — University of Southern California Los Angeles
- Yu Huang 0004
- Yu Huang 0005
- Yu Huang 0006
- Yu Huang 0007 — Samsung Electronics, Ridgefield Park, NJ, USA (and 2 more)
- Yu Huang 0008 — Arizona State University
- Yu Huang 0009 — University of Ulster, School of Computing and Mathematics, Jordanstown, UK (and 1 more)
- Yu Huang 0010
- Yu Huang 0011
- Yu Huang 0012
- Yu Huang 0013
- Yu Huang 0014
- Yu Huang 0016 — Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Beijing, China
- Yu Huang 0017
- Yu Huang 0018
- Yu Huang 0019
- Yu Huang 0020 — Vanderbilt University, Nashville, TN, USA
- Yu Huang 0021
- Yu Huang 0022
- Yu Huang 0023 — Tsinghua University, Institute for Interdisciplinary Information Sciences, IIIS, China
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2020 – today
- 2024
- [j10]Zihan Fang
"Math is a pain!": Understanding challenges and needs of the Machine Learning community on Stack Overflow. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-35 (2024) - [j9]Yifan Zhang
EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. Proc. ACM Softw. Eng. 1(FSE): 115-136 (2024) - [j8]Anda Liang
A Controlled Experiment in Age and Gender Bias When Reading Technical Articles in Software Engineering. IEEE Trans. Software Eng. 50(10): 2498-2511 (2024) - [c29]Hunter Baxter
Genetic Improvement for DNN Security. GI@ICSE 2024: 11-12 - [c28]Ningzhi Tang
CodeGRITS: A Research Toolkit for Developer Behavior and Eye Tracking in IDE. ICSE Companion 2024: 119-123 - [c27]Yimeng Ma
Breaking the Flow: A Study of Interruptions During Software Engineering Activities. ICSE 2024: 185:1-185:12 - [c26]Yuankai Xue
Does ChatGPT Help With Introductory Programming?An Experiment of Students Using ChatGPT in CS1. SEET@ICSE 2024: 331-341 - [c25]Haonan Hou, Kevin Leach, Yu Huang:
ChatGPT Giving Relationship Advice - How Reliable Is It? ICWSM 2024: 610-623 - [c24]Jiliang Li
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization. ICPC 2024: 47-51 - [c23]Ningzhi Tang, Meng Chen, Zheng Ning, Aakash Bansal, Yu Huang, Collin McMillan, Toby Jia-Jun Li:
Developer Behaviors in Validating and Repairing LLM-Generated Code Using IDE and Eye Tracking. VL/HCC 2024: 40-46 - [i11]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 abs/2402.14096 (2024) - [i10]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 abs/2402.14182 (2024) - [i9]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 abs/2405.16081 (2024) - [i8]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 abs/2405.18573 (2024) - [i7]Chia-Yi Su, Aakash Bansal, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Context-aware Code Summary Generation. CoRR abs/2408.09006 (2024) - 2023
- [j7]Priscila Santiesteban
CirFix: Automated Hardware Repair and its Real-World Applications. IEEE Trans. Software Eng. 49(7): 3736-3752 (2023) - [j6]Aakash Bansal
Function Call Graph Context Encoding for Neural Source Code Summarization. IEEE Trans. Software Eng. 49(9): 4268-4281 (2023) - [c22]Yueke Zhang, Kevin Leach, Yu Huang:
Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study. ESEM 2023: 1-12 - [c21]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: 1732-1736 - [c20]Zihan Fang
A Four-Year Study of Student Contributions to OSS vs. OSS4SG with a Lightweight Intervention. ESEC/SIGSOFT FSE 2023: 3-15 - [i6]Aakash Bansal, Chia-Yi Su, Zachary Karas, Yifan Zhang, Yu Huang, Toby Jia-Jun Li, Collin McMillan:
Modeling Programmer Attention as Scanpath Prediction. CoRR abs/2308.13920 (2023) - 2022
- [c19]Hammad Ahmad, Yu Huang, Westley Weimer:
CirFix: automatically repairing defects in hardware design code. ASPLOS 2022: 990-1003 - [i5]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 abs/2208.08067 (2022) - [i4]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 abs/2210.05102 (2022) - 2021
- [j5]Zohreh Sharafi, Yu Huang, Kevin Leach, Westley Weimer:
Toward an Objective Measure of Developers' Cognitive Activities. ACM Trans. Softw. Eng. Methodol. 30(3): 30:1-30:40 (2021) - [c18]Yu Huang, Hammad Ahmad, Stephanie Forrest
Applying Automated Program Repair to Dataflow Programming Languages. GI@ICSE 2021: 21-22 - [c17]Yu Huang, Denae Ford, Thomas Zimmermann:
Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good. ICSE 2021: 1020-1032 - [c16]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: 767-779 - [d1]Yu Huang, Denae Ford
Supplementary Material for Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good. Zenodo, 2021 - [i3]Yu Huang, Denae Ford, Thomas Zimmermann:
Leaving My Fingerprints: Motivations and Challenges of Contributing to OSS for Social Good. CoRR abs/2104.12891 (2021) - 2020
- [j4]William B. Langdon, Westley Weimer, Justyna Petke
Genetic Improvement @ ICSE 2020. ACM SIGSOFT Softw. Eng. Notes 45(4): 24-30 (2020) - [c15]Ian Bertram, Jack Hong, Yu Huang, Westley Weimer, Zohreh Sharafi:
Trustworthiness Perceptions in Code Review: An Eye-tracking Study. ESEM 2020: 31:1-31:6 - [c14]Yu Huang, Kevin Angstadt
Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair. ICSE (Workshops) 2020: 3-10 - [c13]Ryan Krueger, Yu Huang, Xinyu Liu
Neurological divide: an fMRI study of prose and code writing. ICSE 2020: 678-690 - [c12]Sean Stapleton, Yashmeet Gambhir, Alexander LeClair, Zachary Eberhart, Westley Weimer, Kevin Leach, Yu Huang:
A Human Study of Comprehension and Code Summarization. ICPC 2020: 2-13 - [c11]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: 456-468 - [i2]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 abs/2007.15987 (2020)
2010 – 2019
- 2019
- [j3]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: 57-68 (2019) - [j2]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): 25-29 (2019) - [c10]Yu Huang, Xinyu Liu
Distilling neural representations of data structure manipulation using fMRI and fNIRS. ICSE 2019: 396-407 - [i1]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 abs/1907.03773 (2019) - 2018
- [c9]Mehdi Boukhechba, Jiaqi Gong, Kamran Kowsari
Physiological changes over the course of cognitive bias modification for social anxiety. BHI 2018: 422-425 - 2017
- [j1]Haoyi Xiong
Daehr: 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): 47:1-47:21 (2017) - [c8]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: 749-753 - [c7]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: 9-14 - 2016
- [c6]Haoyi Xiong
Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. UbiComp 2016: 415-426 - [c5]Yu Huang, Haoyi Xiong
Assessing social anxiety using gps trajectories and point-of-interest data. UbiComp 2016: 898-903 - [c4]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: 1139-1143 - 2015
- [c3]Jinghe Zhang, Haoyi Xiong
M-SEQ: Early detection of anxiety and depression via temporal orders of diagnoses in electronic health data. IEEE BigData 2015: 2569-2577 - [c2]Oluseyi A. Ayorinde, He Qi, Yu Huang, Benton H. Calhoun:
Using island-style bi-directional intra-CLB routing in low-power FPGAs. FPL 2015: 1-7 - [c1]He Qi, Oluseyi A. Ayorinde, Yu Huang, Benton H. Calhoun:
Optimizing energy efficient low-swing interconnect for sub-threshold FPGAs. FPL 2015: 1-4
Coauthor Index
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