Zimin Chen

According to our database, Zimin Chen authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Supersonic: Learning to Generate Source Code Optimizations in C/C++.

Zimin Chen, Sen Fang, Martin Monperrus

IEEE Trans. Software Eng., November, 2024

2023

Raw dataset of "Supersonic: Learning to Generate Source Code Optimisations in C/C++".

Zimin Chen, Sen Fang, Martin Monperrus

Dataset, September, 2023

Dataset of "Supersonic: Learning to Generate Source Code Optimizations in C/C++".

Zimin Chen, Sen Fang, Martin Monperrus

Dataset, September, 2023

Learning the Relation Between Code Features and Code Transforms With Structured Prediction.

Zhongxing Yu, Matias Martinez, Zimin Chen, Tegawendé F. Bissyandé, Martin Monperrus

IEEE Trans. Software Eng., July, 2023

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code.

Zimin Chen, Steve Kommrusch, Martin Monperrus

IEEE Trans. Software Eng., 2023

PreciseBugCollector: Extensible, Executable and Precise Bug-fix Collection.

He Ye, Zimin Chen, Claire Le Goues

CoRR, 2023

MuRS: Mutant Ranking and Suppression using Identifier Templates.

Zimin Chen, Malgorzata Salawa, Manushree Vijayvergiya, Goran Petrovic, Marko Ivankovic, René Just

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

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.

He Ye, Zimin Chen, Claire Le Goues

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

2021

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair.

Zimin Chen, Steve Kommrusch, Michele Tufano, Louis-Noël Pouchet, Denys Poshyvanyk, Martin Monperrus

IEEE Trans. Software Eng., 2021

A Software-Repair Robot Based on Continual Learning.

Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron Arteaga, He Ye, Zhongxing Yu

IEEE Softw., 2021

PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair.

Zimin Chen, Vincent J. Hellendoorn, Pascal Lamblin, Petros Maniatis, Pierre-Antoine Manzagol, Daniel Tarlow, Subhodeep Moitra

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal Representation for Neural Code Search.

Jian Gu, Zimin Chen, Martin Monperrus

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

2020

R-Hero: A Software Repair Bot based on Continual Learning.

Benoit Baudry, Zimin Chen, Khashayar Etemadi, Han Fu, Davide Ginelli, Steve Kommrusch, Matias Martinez, Martin Monperrus, Javier Ron, He Ye, Zhongxing Yu

CoRR, 2020

Learning to Fix Build Errors with Graph2Diff Neural Networks.

Daniel Tarlow, Subhodeep Moitra, Andrew Rice, Zimin Chen, Pierre-Antoine Manzagol, Charles Sutton, Edward Aftandilian

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

2019

Learning efficient illumination multiplexing for joint capture of reflectance and shape.

Kaizhang Kang, Cihui Xie, Chengan He, Mingqi Yi, Minyi Gu, Zimin Chen, Kun Zhou, Hongzhi Wu

ACM Trans. Graph., 2019

Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities.

Zimin Chen, Steve Kommrusch, Martin Monperrus

CoRR, 2019

A Literature Study of Embeddings on Source Code.

Zimin Chen, Martin Monperrus

CoRR, 2019

2018

Efficient reflectance capture using an autoencoder.

Kaizhang Kang, Zimin Chen, Jiaping Wang, Kun Zhou, Hongzhi Wu

ACM Trans. Graph., 2018

The Remarkable Role of Similarity in Redundancy-based Program Repair.

Zimin Chen, Martin Monperrus

CoRR, 2018

The CodRep Machine Learning on Source Code Competition.

Zimin Chen, Martin Monperrus

CoRR, 2018

Learning optimal lighting patterns for efficient SVBRDF acquisition.

Kaizhang Kang, Zimin Chen, Jiaping Wang, Kun Zhou, Hongzhi Wu

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2018