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2020 – today
- 2024
[j7]Zimin Chen
, Sen Fang, Martin Monperrus:
Supersonic: Learning to Generate Source Code Optimizations in C/C++. IEEE Trans. Software Eng. 50(11): 2849-2864 (2024)- 2023
- [j6]Zimin Chen, Steve Kommrusch, Martin Monperrus:
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. IEEE Trans. Software Eng. 49(1): 147-165 (2023) - [j5]Zhongxing Yu, Matias Martinez, Zimin Chen, Tegawendé F. Bissyandé, Martin Monperrus:
Learning the Relation Between Code Features and Code Transforms With Structured Prediction. IEEE Trans. Software Eng. 49(7): 3872-3900 (2023) - [c6]He Ye, Zimin Chen, Claire Le Goues:
PreciseBugCollector: Extensible, Executable and Precise Bug-Fix Collection: Solution for Challenge 8: Automating Precise Data Collection for Code Snippets with Bugs, Fixes, Locations, and Types. ASE 2023: 1899-1910 - [c5]Zimin Chen, Malgorzata Salawa, Manushree Vijayvergiya, Goran Petrovic, Marko Ivankovic, René Just:
MuRS: Mutant Ranking and Suppression using Identifier Templates. ESEC/SIGSOFT FSE 2023: 1798-1808 - [d2]Zimin Chen, Sen Fang, Martin Monperrus:
Dataset of "Supersonic: Learning to Generate Source Code Optimizations in C/C++". Zenodo, 2023
- [d1]Zimin Chen, Sen Fang, Martin Monperrus:
Raw dataset of "Supersonic: Learning to Generate Source Code Optimisations in C/C++". Zenodo, 2023 - [i12]Zimin Chen, Malgorzata Salawa, Manushree Vijayvergiya, Goran Petrovic, Marko Ivankovic, René Just:
MuRS: Mutant Ranking and Suppression using Identifier Templates. CoRR abs/2306.09130 (2023) - [i11]He Ye, Zimin Chen, Claire Le Goues:
PreciseBugCollector: Extensible, Executable and Precise Bug-fix Collection. CoRR abs/2309.06229 (2023) - [i10]Zimin Chen, Sen Fang, Martin Monperrus:
Supersonic: Learning to Generate Source Code Optimizations in C/C++. CoRR abs/2309.14846 (2023) - 2021
- [j4]Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron Arteaga, He Ye, Zhongxing Yu:
A Software-Repair Robot Based on Continual Learning. IEEE Softw. 38(4): 28-35 (2021) - [j3]Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus:
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair. IEEE Trans. Software Eng. 47(9): 1943-1959 (2021) - [c4]Jian Gu, Zimin Chen, Martin Monperrus:
Multimodal Representation for Neural Code Search. ICSME 2021: 483-494 - [c3]Zimin Chen, Vincent J. Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra:
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair. NeurIPS 2021: 23089-23101 - [i9]Zimin Chen, Steve Kommrusch, Martin Monperrus:
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. CoRR abs/2104.08308 (2021) - [i8]Jian Gu, Zimin Chen, Martin Monperrus:
Multimodal Representation for Neural Code Search. CoRR abs/2107.00992 (2021) - 2020
- [c2]Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian:
Learning to Fix Build Errors with Graph2Diff Neural Networks. ICSE (Workshops) 2020: 19-20 - [i7]Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron, He Ye, Zhongxing Yu:
R-Hero: A Software Repair Bot based on Continual Learning. CoRR abs/2012.06824 (2020)
2010 – 2019
- 2019
- [j2]Kaizhang Kang, Cihui Xie, Chengan He, Mingqi Yi, Minyi Gu, Zimin Chen, Kun Zhou, Hongzhi Wu:
Learning efficient illumination multiplexing for joint capture of reflectance and shape. ACM Trans. Graph. 38(6): 165:1-165:12 (2019) - [i6]Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus:
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair. CoRR abs/1901.01808 (2019) - [i5]Zimin Chen, Martin Monperrus:
A Literature Study of Embeddings on Source Code. CoRR abs/1904.03061 (2019) - [i4]Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian:
Learning to Fix Build Errors with Graph2Diff Neural Networks. CoRR abs/1911.01205 (2019) - [i3]Zimin Chen, Steve Kommrusch, Martin Monperrus:
Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities. CoRR abs/1912.02015 (2019) - 2018
- [j1]Kaizhang Kang, Zimin Chen, Jiaping Wang, Kun Zhou, Hongzhi Wu:
Efficient reflectance capture using an autoencoder. ACM Trans. Graph. 37(4): 127 (2018) - [c1]Kaizhang Kang, Zimin Chen, Jiaping Wang, Kun Zhou, Hongzhi Wu:
Learning optimal lighting patterns for efficient SVBRDF acquisition. SIGGRAPH Posters 2018: 47:1-47:2 - [i2]Zimin Chen, Martin Monperrus:
The CodRep Machine Learning on Source Code Competition. CoRR abs/1807.03200 (2018) - [i1]Zimin Chen, Martin Monperrus:
The Remarkable Role of Similarity in Redundancy-based Program Repair. CoRR abs/1811.05703 (2018)
Coauthor Index
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