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Thibaud Lutellier
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2020 – today
- 2023
- [c11]Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. ICSE 2023: 1251-1263 - [c10]Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan:
Impact of Code Language Models on Automated Program Repair. ICSE 2023: 1430-1442 - [c9]Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA 2023: 1282-1294 - [i5]Nan Jiang, Thibaud Lutellier
, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. CoRR abs/2302.01857 (2023) - [i4]Nan Jiang, Kevin Liu, Thibaud Lutellier
, Lin Tan:
Impact of Code Language Models on Automated Program Repair. CoRR abs/2302.05020 (2023) - [i3]Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR abs/2305.18607 (2023) - 2022
- [c8]Jiannan Wang
, Thibaud Lutellier
, Shangshu Qian
, Hung Viet Pham, Lin Tan:
EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. ICSE 2022: 798-810 - 2021
- [c7]Nan Jiang
, Thibaud Lutellier
, Lin Tan:
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. ICSE 2021: 1161-1173 - [c6]Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah:
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. NeurIPS 2021: 30211-30227 - [i2]Nan Jiang, Thibaud Lutellier, Lin Tan:
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. CoRR abs/2103.00073 (2021) - 2020
- [b1]Thibaud Lutellier:
Machine Learning for Software Dependability. University of Waterloo, Ontario, Canada, 2020 - [c5]Thibaud Lutellier
, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan:
CoCoNuT: combining context-aware neural translation models using ensemble for program repair. ISSTA 2020: 101-114 - [c4]Hung Viet Pham, Shangshu Qian
, Jiannan Wang
, Thibaud Lutellier
, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan:
Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. ASE 2020: 771-783
2010 – 2019
- 2019
- [c3]Hung Viet Pham, Thibaud Lutellier
, Weizhen Qi, Lin Tan:
CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. ICSE 2019: 1027-1038 - [i1]Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan:
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. CoRR abs/1906.08691 (2019) - 2018
- [j3]Tomasz Kuchta
, Thibaud Lutellier
, Edmund Wong, Lin Tan, Cristian Cadar
:
On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files. Empir. Softw. Eng. 23(6): 3187-3220 (2018) - [j2]Thibaud Lutellier
, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger:
Measuring the Impact of Code Dependencies on Software Architecture Recovery Techniques. IEEE Trans. Software Eng. 44(2): 159-181 (2018) - 2015
- [c2]Thibaud Lutellier
, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger:
Comparing Software Architecture Recovery Techniques Using Accurate Dependencies. ICSE (2) 2015: 69-78 - 2014
- [j1]Hossain Shahriar
, Komminist Weldemariam, Mohammad Zulkernine, Thibaud Lutellier
:
Effective detection of vulnerable and malicious browser extensions. Comput. Secur. 47: 66-84 (2014) - 2013
- [c1]Hossain Shahriar
, Komminist Weldemariam, Thibaud Lutellier
, Mohammad Zulkernine:
A Model-Based Detection of Vulnerable and Malicious Browser Extensions. SERE 2013: 198-207
Coauthor Index
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