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ORCIDLin Tan 0001
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Lin Tan — disambiguation page
- Lin Tan 0002 — The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Lin Tan 0003
![[0000-0003-3421-5790]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3421-5790")
— Information Engineering University, Zhengzhou, China (and 1 more) - Lin Tan 0004 — First Research Institute of the Ministry of Public Security, Beijing, China
- Lin Tan 0005 — Virginia Tech, Blacksburg, VA, USA
- Lin Tan 0006 — West Chester University, West Chester, PA, USA
- Lin Tan 0007 — Shandong Jianzhu University, Jinan, China
- Lin Tan 0008 — Nanjing University, Jiangsu, China
- Lin Tan 0009 — University of Electronic Science and Technology of China, Chengdu, China
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2020 – today
- 2024
[c53]Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer:
CEDAR: Continuous Testing of Deep Learning Libraries. SANER 2024: 371-382- [i12]Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan:
WAFFLE: Multi-Modal Model for Automated Front-End Development. CoRR abs/2410.18362 (2024) - 2023
- [c52]Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan:
DisGUIDE: Disagreement-Guided Data-Free Model Extraction. AAAI 2023: 9614-9622 - [c51]Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan:
Revisiting Learning-based Commit Message Generation. ICSE 2023: 794-805 - [c50]Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. ICSE 2023: 1251-1263 - [c49]Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan:
Impact of Code Language Models on Automated Program Repair. ICSE 2023: 1430-1442 - [c48]Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA 2023: 1282-1294 - [c47]Shangshu Qian, Wen Fan, Lin Tan, Yongle Zhang:
Vicious Cycles in Distributed Software Systems. ASE 2023: 91-103 - [i11]Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. CoRR abs/2302.01857 (2023) - [i10]Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan:
Impact of Code Language Models on Automated Program Repair. CoRR abs/2302.05020 (2023) - [i9]Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR abs/2305.18607 (2023) - [i8]Xiangzhe Xu, Zhuo Zhang, Shiwei Feng, Yapeng Ye, Zian Su, Nan Jiang, Siyuan Cheng, Lin Tan, Xiangyu Zhang:
LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis. CoRR abs/2306.02546 (2023) - [i7]Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee:
Impact of Large Language Models on Generating Software Specifications. CoRR abs/2306.03324 (2023) - [i6]Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang:
Nova+: Generative Language Models for Binaries. CoRR abs/2311.13721 (2023) - 2022
- [c46]Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan:
EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. ICSE 2022: 798-810 - [c45]Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey:
DocTer: documentation-guided fuzzing for testing deep learning API functions. ISSTA 2022: 176-188 - 2021
- [c44]Nan Jiang, Thibaud Lutellier, Lin Tan:
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. ICSE 2021: 1161-1173 - [c43]Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan:
DEVIATE: A Deep Learning Variance Testing Framework. ASE 2021: 1286-1290 - [c42]Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah:
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. NeurIPS 2021: 30211-30227 - [c41]Ming Yan, Junjie Chen, Xiangyu Zhang, Lin Tan, Gan Wang, Zan Wang:
Exposing numerical bugs in deep learning via gradient back-propagation. ESEC/SIGSOFT FSE 2021: 627-638 - [i5]Nan Jiang, Thibaud Lutellier, Lin Tan:
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. CoRR abs/2103.00073 (2021) - [i4]Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey:
Leveraging Documentation to Test Deep Learning Library Functions. CoRR abs/2109.01002 (2021) - 2020
- [j11]Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan:
Deep Semantic Feature Learning for Software Defect Prediction. IEEE Trans. Software Eng. 46(12): 1267-1293 (2020) - [c40]Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang:
CPC: automatically classifying and propagating natural language comments via program analysis. ICSE 2020: 1359-1371 - [c39]Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan:
CoCoNuT: combining context-aware neural translation models using ensemble for program repair. ISSTA 2020: 101-114 - [c38]Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan:
Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. ASE 2020: 771-783 - [c37]Juan Zhai, Yu Shi, Minxue Pan, Guian Zhou, Yongxiang Liu, Chunrong Fang, Shiqing Ma, Lin Tan, Xiangyu Zhang:
C2S: translating natural language comments to formal program specifications. ESEC/SIGSOFT FSE 2020: 25-37 - [i3]Qiuling Xu, Guanhong Tao, Siyuan Cheng, Lin Tan, Xiangyu Zhang:
Towards Feature Space Adversarial Attack. CoRR abs/2004.12385 (2020)
2010 – 2019
- 2019
- [j10]Lin Tan, Abram Hindle:
Guest Editorial: Special Section on Mining Software Repositories. Empir. Softw. Eng. 24(3): 1458-1460 (2019) - [j9]Jaechang Nam, Song Wang, Yuan Xi, Lin Tan:
A bug finder refined by a large set of open-source projects. Inf. Softw. Technol. 112: 164-175 (2019) - [c36]Jinqiu Yang, Lin Tan, John Peyton, Kristofer A. Duer:
Towards better utilizing static application security testing. ICSE (SEIP) 2019: 51-60 - [c35]Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan:
CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. ICSE 2019: 1027-1038 - [i2]Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan:
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. CoRR abs/1906.08691 (2019) - 2018
- [j8]Tomasz Kuchta, Thibaud Lutellier, Edmund Wong, Lin Tan, Cristian Cadar:
On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files. Empir. Softw. Eng. 23(6): 3187-3220 (2018) - [j7]Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger:
Measuring the Impact of Code Dependencies on Software Architecture Recovery Techniques. IEEE Trans. Software Eng. 44(2): 159-181 (2018) - [j6]Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan:
Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 44(9): 874-896 (2018) - [c34]Jaechang Nam, Song Wang, Yuan Xi, Lin Tan:
Designing bug detection rules for fewer false alarms. ICSE (Companion Volume) 2018: 315-316 - [c33]Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan:
Towards extracting web API specifications from documentation. MSR 2018: 454-464 - [i1]Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan:
Automatically Extracting Web API Specifications from HTML Documentation. CoRR abs/1801.08928 (2018) - 2017
- [c32]Song Wang, Jaechang Nam, Lin Tan:
QTEP: quality-aware test case prioritization. ESEC/SIGSOFT FSE 2017: 523-534 - [c31]Jinqiu Yang, Alexey Zhikhartsev, Yuefei Liu, Lin Tan:
Better test cases for better automated program repair. ESEC/SIGSOFT FSE 2017: 831-841 - [e1]Jesús M. González-Barahona, Abram Hindle, Lin Tan:
Proceedings of the 14th International Conference on Mining Software Repositories, MSR 2017, Buenos Aires, Argentina, May 20-28, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-1544-7 [contents] - 2016
- [c30]Song Wang, Taiyue Liu, Lin Tan:
Automatically learning semantic features for defect prediction. ICSE 2016: 297-308 - [c29]Juan Zhai, Jianjun Huang, Shiqing Ma, Xiangyu Zhang, Lin Tan, Jianhua Zhao, Feng Qin:
Automatic model generation from documentation for Java API functions. ICSE 2016: 380-391 - [c28]Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan:
Bugram: bug detection with n-gram language models. ASE 2016: 708-719 - [c27]Jianjun Huang, Xiangyu Zhang, Lin Tan:
Detecting sensitive data disclosure via bi-directional text correlation analysis. SIGSOFT FSE 2016: 169-180 - 2015
- [c26]Guy-Vincent Jourdan, Gregor von Bochmann, Ettore Merlo, James Miller, Vio Onut, Lin Tan:
Workshop on the application of security and testing to rich internet applications. CASCON 2015: 320-322 - [c25]Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger:
Comparing Software Architecture Recovery Techniques Using Accurate Dependencies. ICSE (2) 2015: 69-78 - [c24]Ming Tan, Lin Tan, Sashank Dara, Caleb Mayeux:
Online Defect Prediction for Imbalanced Data. ICSE (2) 2015: 99-108 - [c23]Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan:
DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. ICSE (1) 2015: 620-631 - [c22]Edmund Wong, Taiyue Liu, Lin Tan:
CloCom: Mining existing source code for automatic comment generation. SANER 2015: 380-389 - [p1]Lin Tan:
Code Comment Analysis for Improving Software Quality. The Art and Science of Analyzing Software Data 2015: 493-517 - 2014
- [j5]Jon Eyolfson, Lin Tan, Patrick Lam:
Correlations between bugginess and time-based commit characteristics. Empir. Softw. Eng. 19(4): 1009-1039 (2014) - [j4]Lin Tan, Chen Liu, Zhenmin Li, Xuanhui Wang, Yuanyuan Zhou, ChengXiang Zhai:
Bug characteristics in open source software. Empir. Softw. Eng. 19(6): 1665-1705 (2014) - [j3]Jinqiu Yang, Lin Tan:
SWordNet: Inferring semantically related words from software context. Empir. Softw. Eng. 19(6): 1856-1886 (2014) - [c21]Jianjun Huang, Xiangyu Zhang, Lin Tan, Peng Wang, Bin Liang:
AsDroid: detecting stealthy behaviors in Android applications by user interface and program behavior contradiction. ICSE 2014: 1036-1046 - [c20]Sandeep Chaudhary, Sebastian Fischmeister, Lin Tan:
em-SPADE: a compiler extension for checking rules extracted from processor specifications. LCTES 2014: 105-114 - [c19]Quinn Hanam, Lin Tan, Reid Holmes, Patrick Lam:
Finding patterns in static analysis alerts: improving actionable alert ranking. MSR 2014: 152-161 - 2013
- [c18]Pei Wang, Jinqiu Yang, Lin Tan, Robert Kroeger, J. David Morgenthaler:
Generating precise dependencies for large software. MTD@ICSE 2013: 47-50 - [c17]Chen Liu, Jinqiu Yang, Lin Tan, Munawar Hafiz:
R2Fix: Automatically Generating Bug Fixes from Bug Reports. ICST 2013: 282-291 - [c16]Tian Jiang, Lin Tan, Sunghun Kim:
Personalized defect prediction. ASE 2013: 279-289 - [c15]Edmund Wong, Jinqiu Yang, Lin Tan:
AutoComment: Mining question and answer sites for automatic comment generation. ASE 2013: 562-567 - [c14]Adrian Nistor, Tian Jiang, Lin Tan:
Discovering, reporting, and fixing performance bugs. MSR 2013: 237-246 - 2012
- [c13]Shin Hwei Tan, Darko Marinov, Lin Tan, Gary T. Leavens:
@tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies. ICST 2012: 260-269 - [c12]Jinqiu Yang, Lin Tan:
Inferring semantically related words from software context. MSR 2012: 161-170 - 2011
- [c11]Lin Tan, Yuanyuan Zhou, Yoann Padioleau:
aComment: mining annotations from comments and code to detect interrupt related concurrency bugs. ICSE 2011: 11-20 - [c10]Jon Eyolfson, Lin Tan, Patrick Lam:
Do time of day and developer experience affect commit bugginess. MSR 2011: 153-162 - 2010
- [c9]Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy:
SherLog: error diagnosis by connecting clues from run-time logs. ASPLOS 2010: 143-154
2000 – 2009
- 2009
- [c8]Yoann Padioleau, Lin Tan, Yuanyuan Zhou:
Listening to programmers - Taxonomies and characteristics of comments in operating system code. ICSE 2009: 331-341 - 2008
- [c7]Lin Tan, Xiaolan Zhang, Xiao Ma, Weiwei Xiong, Yuanyuan Zhou:
AutoISES: Automatically Inferring Security Specification and Detecting Violations. USENIX Security Symposium 2008: 379-394 - 2007
- [c6]Lin Tan, Ellick Chan, Reza Farivar, Nevedita Mallick, Jeffrey C. Carlyle, Francis M. David, Roy H. Campbell:
iKernel: Isolating Buggy and Malicious Device Drivers Using Hardware Virtualization Support. DASC 2007: 134-144 - [c5]Lin Tan, Ding Yuan, Yuanyuan Zhou:
HotComments: How to Make Program Comments More Useful? HotOS 2007 - [c4]Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou:
/*icomment: bugs or bad comments?*/. SOSP 2007: 145-158 - 2006
- [j2]Lin Tan, Timothy Sherwood:
Architectures for Bit-Split String Scanning in Intrusion Detection. IEEE Micro 26(1): 110-117 (2006) - [j1]Lin Tan, Brett Brotherton, Timothy Sherwood:
Bit-split string-matching engines for intrusion detection and prevention. ACM Trans. Archit. Code Optim. 3(1): 3-34 (2006) - [c3]Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, Chengxiang Zhai:
Have things changed now?: an empirical study of bug characteristics in modern open source software. ASID 2006: 25-33 - 2005
- [c2]Lin Tan, Timothy Sherwood:
A High Throughput String Matching Architecture for Intrusion Detection and Prevention. ISCA 2005: 112-122 - [c1]Qingbo Zhu, Zhifeng Chen, Lin Tan, Yuanyuan Zhou, Kimberly Keeton, John Wilkes:
Hibernator: helping disk arrays sleep through the winter. SOSP 2005: 177-190
Coauthor Index
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