lin-tan

lin-tan

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CoCoNut-Artifact

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

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clm

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

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CURE

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

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DocTer

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

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knod

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

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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.

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eagle

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

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disguide

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

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dl-variance

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

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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

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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.

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CSrankings

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

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llm4code.github.io

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

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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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