lin-tan
Mary J. Elmore New Frontiers Professor, Department of Computer Science, Purdue University
Purdue University
Pinned Repositories
clm
For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan
CoCoNut-Artifact
For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei and Lin Tan
CURE
For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin Tan
disguide
For our AAAI23 paper "DisGUIDE: Disagreement-Guided Data-Free Model Extraction" (Oral Presentation) by Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, and Lin Tan.
dl-variance
For our ASE20 paper 🏆 "Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance" (🏆 Distinguished Paper Award!) by Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan
DocTer
For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Mike Godfrey
knod
For our ICSE23 paper "KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair" by Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, and Xiangyu Zhang
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.
REPOCOD
For our ACL25 Paper: Can Language Models Replace Programmers? RepoCod Says ‘Not Yet’ - by Shanchao Liang and Yiran Hu and Nan Jiang and Lin Tan
resym
For our CCS24 paper 🏆 "ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries" by Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, and Xiangyu Zhang. 🏆 ACM SIGSAC Distinguished Paper Award Winner
lin-tan's Repositories
lin-tan/clm
For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan
lin-tan/CoCoNut-Artifact
For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei and Lin Tan
lin-tan/CURE
For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin Tan
lin-tan/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.
lin-tan/DocTer
For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Mike Godfrey
lin-tan/knod
For our ICSE23 paper "KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair" by Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, and Xiangyu Zhang
lin-tan/disguide
For our AAAI23 paper "DisGUIDE: Disagreement-Guided Data-Free Model Extraction" (Oral Presentation) by Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, and Lin Tan.
lin-tan/eagle
For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, and Lin Tan.
lin-tan/dl-variance
For our ASE20 paper 🏆 "Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance" (🏆 Distinguished Paper Award!) by Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan
lin-tan/fairness-variance
For our NeurIPS21 paper "Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training" by Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, and Sameena Shah
lin-tan/DEVIATE
For our ASE21 tool paper "DEVIATE: A Deep Learning Variance Testing Framework" by Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan.
lin-tan/asc-crs-healing-touch
This is the CRS (Cyber Reasoning System) submitted by team "Healing Touch" in the DARPA AIxCC semi-final competition in 2024.
lin-tan/CSrankings
A web app for ranking computer science departments according to their research output in selective venues.
lin-tan/llm4code.github.io
The First International Workshop on Large Language Model for Code 2024 (Co-Located with ICSE 2024)
lin-tan/vcstudy
For our ASE23 Paper "Vicious Cycles in Distributed Software Systems" by Shangshu Qian, Wen Fan, Lin Tan, and Yongle Zhang
lin-tan/AutoComment-NLP
Automatic code comment generation using Stack Overflow
lin-tan/CloCom
Utilizing code clone detection to generate comments automatically.