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Kevin Leach
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Publications
- 2024
- [j7]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): 115-136 (2024) - [c42]Yimeng Ma, Yu Huang, Kevin Leach:
Breaking the Flow: A Study of Interruptions During Software Engineering Activities. ICSE 2024: 185:1-185:12 - [c40]Haonan Hou, Kevin Leach, Yu Huang:
ChatGPT Giving Relationship Advice - How Reliable Is It? ICWSM 2024: 610-623 - [c39]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: 47-51 - [i18]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) - [i17]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) - 2023
- [c37]Yueke Zhang, Kevin Leach, Yu Huang:
Leveraging Evidence Theory to Improve Fault Localization: An Exploratory Study. ESEM 2023: 1-12 - [c34]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: 3-15 - 2022
- [i7]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) - [i6]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
- [j4]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) - 2020
- [c23]Yu Huang, Kevin Angstadt, Kevin Leach, Westley Weimer:
Selective Symbolic Type-Guided Checkpointing and Restoration for Autonomous Vehicle Repair. ICSE (Workshops) 2020: 3-10 - [c22]Ryan Krueger, Yu Huang, Xinyu Liu, Tyler Santander, Westley Weimer, Kevin Leach:
Neurological divide: an fMRI study of prose and code writing. ICSE 2020: 678-690 - [c21]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 - [c19]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 - 2019
- [j3]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) - [c15]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: 396-407 - [i2]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) - 2017
- [j1]Haoyi Xiong, Jinghe Zhang, Yu Huang, Kevin Leach, Laura E. Barnes:
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) - 2016
- [c9]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: 898-903 - 2015
- [c6]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: 2569-2577
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last updated on 2024-09-04 01:23 CEST by the dblp team
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