Learning optimal lighting patterns for efficient SVBRDF acquisition. - Kaizhang Kang; Zimin Chen; Jiaping Wang; Kun Zhou 001; Hongzhi Wu (SIGGRAPH Posters, 2018)

The CodRep Machine Learning on Source Code Competition. - Zimin Chen; Martin Monperrus (CoRR, 2018)

The Remarkable Role of Similarity in Redundancy-based Program Repair. - Zimin Chen; Martin Monperrus (CoRR, 2018)

Efficient reflectance capture using an autoencoder. - Kaizhang Kang; Zimin Chen; Jiaping Wang; Kun Zhou 001; Hongzhi Wu (ACM Trans. Graph., 2018)

A Literature Study of Embeddings on Source Code. - Zimin Chen; Martin Monperrus (CoRR, 2019)

Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities. - Zimin Chen; Steve Kommrusch; Martin Monperrus (CoRR, 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 001; Hongzhi Wu (ACM Trans. Graph., 2019)

Learning to Fix Build Errors with Graph2Diff Neural Networks. - Daniel Tarlow; Subhodeep Moitra; Andrew Rice; Zimin Chen; Pierre-Antoine Manzagol; Charles Sutton; Edward Aftandilian (ICSE (Workshops), 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)

Multimodal Representation for Neural Code Search. - Jian Gu 001; Zimin Chen; Martin Monperrus (ICSME, 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 (NeurIPS, 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)

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)

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 (ASE, 2023)

MuRS: Mutant Ranking and Suppression using Identifier Templates. - Zimin Chen; Malgorzata Salawa; Manushree Vijayvergiya; Goran Petrovic; Marko Ivankovic; René Just (ESEC/SIGSOFT FSE, 2023)

PreciseBugCollector: Extensible, Executable and Precise Bug-fix Collection. - He Ye; Zimin Chen; Claire Le Goues (CoRR, 2023)

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. - Zimin Chen; Steve Kommrusch; Martin Monperrus (IEEE Trans. Software Eng., 2023)

Source Code Representations of Deep Learning for Program Repair - Zimin Chen (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., 2023)

Dataset of "Supersonic: Learning to Generate Source Code Optimizations in C/C++". - Zimin Chen; Sen Fang; Martin Monperrus (Zenodo, 2023)

Raw dataset of "Supersonic: Learning to Generate Source Code Optimisations in C/C++". - Zimin Chen; Sen Fang; Martin Monperrus (Zenodo, 2023)

Supersonic: Learning to Generate Source Code Optimizations in C/C++. - Zimin Chen; Sen Fang; Martin Monperrus (IEEE Trans. Software Eng., 2024)

Prometheus: Unified Knowledge Graphs for Issue Resolution in Multilingual Codebases. - Zimin Chen; Yue Pan; Siyu Lu; Jiayi Xu; Claire Le Goues; Martin Monperrus; He Ye (CoRR, 2025)