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lin-tan's Projects

clm icon clm

For our ICSE 2023 paper Impact of Code Language Models on Automated Program Repair

coconut-artifact icon coconut-artifact

Artefact for "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair."

csrankings icon csrankings

A web app for ranking computer science departments according to their research output in selective venues.

cure icon cure

Artefact for our ICSE 2021 paper CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

deviate icon deviate

For the tool paper "DEVIATE: A Deep Learning Variance Testing Framework". Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan. The tool demo track of IEEE/ACM International Conference on Automated Software Engineering 2021.

disguide icon disguide

For our AAAI 2023 paper AAAI 2023 paper DisGUIDE: Disagreement-Guided Data-Free Model Extraction

dl-variance icon dl-variance

Artefact for Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance.

docter icon docter

For our paper DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions (ISSTA'22)

eagle icon eagle

For our ICSE 2022 paper EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries

fairness-variance icon fairness-variance

For NeurIPS 2021 paper "Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training". Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, and Sameena Shah

knod icon knod

For our ICSE 2023 paper KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

llm-vul icon llm-vul

For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah.

llm4code.github.io icon llm4code.github.io

The First International Workshop on Large Language Model for Code 2024 (Co-Located with ICSE 2024)

vcstudy icon vcstudy

For our ASE 2023 Paper "Vicious Cycles in Distributed Software Systems" by Shangshu Qian, Wen Fan, Lin Tan, and Yongle Zhang

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