Lin Tan - RankMe

104 papers A* 30A 16B 1C 1Journal 39Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations. EuroSys Shangshu Qian, Lin Tan, Yongle Zhang
2026	J	`jnl`	Towards Resiliency in Large Language Model Serving with KevlarFlow. CoRR Shangshu Qian, Kipling Liu, P. C. Sruthi, Lin Tan, Yongle Zhang
2025	J	`jnl`	CORE: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks. CoRR Danning Xie, Mingwei Zheng, Xuwei Liu, Jiannan Wang, Chengpeng Wang, Lin Tan, Xiangyu Zhang
2025	J	`jnl`	CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations. CoRR Shangshu Qian, Lin Tan, Yongle Zhang
2025	—	`conf`	Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'. ACL (1) Shanchao Liang, Nan Jiang, Yiran Hu, Lin Tan
2025	J	`jnl`	Challenges to Using Large Language Models in Code Generation and Repair. IEEE Secur. Priv. Liliana Pasquale, Antonino Sabetta, Marcelo d'Amorim, Péter Hegedüs, Mehdi Tarrit Mirakhorli, Hamed Okhravi, Mathias Payer, Awais Rashid, Joanna C. S. Santos, Jonathan M. Spring, Lin Tan, Katja Tuma
2025	J	`jnl`	D IEEE Trans. Software Eng. Jiannan Wang, Hung Viet Pham, Qi Li, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer
2025	—	`conf`	Evaluating the Ability of GPT-4o to Generate Verifiable Specifications in VeriFast. Forge@ICSE Marilyn Rego, Wen Fan, Xin Hu, Sanya Dod, Zhaorui Ni, Danning Xie, Jenna DiVincenzo, Lin Tan
2025	A	`conf`	How Effective are Large Language Models in Generating Software Specifications? SANER Danning Xie, Byoung-Joo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee
2025	A*	`conf`	LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement. AAAI Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan
2025	A*	`conf`	Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning. ICLR Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang, Petr Babkin
2025	A*	`conf`	SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models. ICRA Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan
2025	J	`jnl`	Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. CoRR Ruixin Wang, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang
2025	J	`jnl`	Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. Proc. ACM Program. Lang. Ruixin Wang, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang
2025	J	`jnl`	TENET: Leveraging Tests Beyond Validation for Code Generation. CoRR Yiran Hu, Nan Jiang, Shanchao Liang, Yi Wu, Lin Tan
2025	J	`jnl`	Unified Software Engineering agent as AI Software Engineer. CoRR Leonhard Applis, Yuntong Zhang, Shanchao Liang, Nan Jiang, Lin Tan, Abhik Roychoudhury
2025	A*	`conf`	Unleashing the Power of Generative Model in Recovering Variable Names from Stripped Binary. NDSS Xiangzhe Xu, Zhuo Zhang, Zian Su, Ziyang Huang, Shiwei Feng, Yapeng Ye, Nan Jiang, Danning Xie, Siyuan Cheng, Lin Tan, Xiangyu Zhang
2025	—	`conf`	WAFFLE: Fine-tuning Multi-Modal Model for Automated Front-End Development. ACL (1) Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan
2024	A	`conf`	CEDAR: Continuous Testing of Deep Learning Libraries. SANER Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer
2024	J	`jnl`	CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble. CoRR Jonathan Rosenthal, Shanchao Liang, Kevin Zhang, Lin Tan
2024	J	`jnl`	Can Language Models Replace Programmers? REPOCOD Says 'Not Yet'. CoRR Shanchao Liang, Yiran Hu, Nan Jiang, Lin Tan
2024	J	`jnl`	Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code. CoRR Nan Jiang, Qi Li, Lin Tan, Tianyi Zhang
2024	J	`jnl`	Evaluating the Ability of Large Language Models to Generate Verifiable Specifications in VeriFast. CoRR Marilyn Rego, Wen Fan, Xin Hu, Sanya Dod, Zhaorui Ni, Danning Xie, Jenna DiVincenzo, Lin Tan
2024	J	`jnl`	LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement. CoRR Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan
2024	A*	`conf`	ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries. CCS Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, Xiangyu Zhang
2024	J	`jnl`	SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models. CoRR Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan
2024	J	`jnl`	WAFFLE: Multi-Modal Model for Automated Front-End Development. CoRR Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan
2024	J	`jnl`	When Automated Program Repair Meets Regression Testing - An Extensive Study on Two Million Patches. ACM Trans. Softw. Eng. Methodol. Yiling Lou, Jun Yang, Samuel Benton, Dan Hao, Lin Tan, Zhenpeng Chen, Lu Zhang, Lingming Zhang
2023	A*	`conf`	DisGUIDE: Disagreement-Guided Data-Free Model Extraction. AAAI Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan
2023	A	`conf`	How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah
2023	J	`jnl`	How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah
2023	A*	`conf`	Impact of Code Language Models on Automated Program Repair. ICSE Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan
2023	J	`jnl`	Impact of Code Language Models on Automated Program Repair. CoRR Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan
2023	J	`jnl`	Impact of Large Language Models on Generating Software Specifications. CoRR Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee
2023	A*	`conf`	KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. ICSE Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang
2023	J	`jnl`	KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. CoRR Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang
2023	J	`jnl`	LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis. CoRR Xiangzhe Xu, Zhuo Zhang, Shiwei Feng, Yapeng Ye, Zian Su, Nan Jiang, Siyuan Cheng, Lin Tan, Xiangyu Zhang
2023	J	`jnl`	Nova CoRR Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang
2023	A*	`conf`	Revisiting Learning-based Commit Message Generation. ICSE Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan
2023	A*	`conf`	Vicious Cycles in Distributed Software Systems. ASE Shangshu Qian, Wen Fan, Lin Tan, Yongle Zhang
2022	A	`conf`	DocTer: documentation-guided fuzzing for testing deep learning API functions. ISSTA Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey
2022	A*	`conf`	EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. ICSE Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan
2021	A*	`conf`	Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. NeurIPS Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah
2021	A*	`conf`	CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. ICSE Nan Jiang, Thibaud Lutellier, Lin Tan
2021	J	`jnl`	CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. CoRR Nan Jiang, Thibaud Lutellier, Lin Tan
2021	A*	`conf`	DEVIATE: A Deep Learning Variance Testing Framework. ASE Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan
2021	—	`conf`	Exposing numerical bugs in deep learning via gradient back-propagation. ESEC/SIGSOFT FSE Ming Yan, Junjie Chen, Xiangyu Zhang, Lin Tan, Gan Wang, Zan Wang
2021	J	`jnl`	Leveraging Documentation to Test Deep Learning Library Functions. CoRR Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey
2020	—	`conf`	C2S: translating natural language comments to formal program specifications. ESEC/SIGSOFT FSE Juan Zhai, Yu Shi, Minxue Pan, Guian Zhou, Yongxiang Liu, Chunrong Fang, Shiqing Ma, Lin Tan, Xiangyu Zhang
2020	A*	`conf`	CPC: automatically classifying and propagating natural language comments via program analysis. ICSE Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang
2020	A	`conf`	CoCoNuT: combining context-aware neural translation models using ensemble for program repair. ISSTA Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan
2020	J	`jnl`	Deep Semantic Feature Learning for Software Defect Prediction. IEEE Trans. Software Eng. Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan
2020	A*	`conf`	Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. ASE Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan
2020	J	`jnl`	Towards Feature Space Adversarial Attack. CoRR Qiuling Xu, Guanhong Tao, Siyuan Cheng, Lin Tan, Xiangyu Zhang
2019	J	`jnl`	A bug finder refined by a large set of open-source projects. Inf. Softw. Technol. Jaechang Nam, Song Wang, Yuan Xi, Lin Tan
2019	A*	`conf`	CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. ICSE Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan
2019	J	`jnl`	ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. CoRR Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan
2019	J	`jnl`	Guest Editorial: Special Section on Mining Software Repositories. Empir. Softw. Eng. Lin Tan, Abram Hindle
2019	—	`conf`	Towards better utilizing static application security testing. ICSE (SEIP) Jinqiu Yang, Lin Tan, John Peyton, Kristofer A. Duer
2018	J	`jnl`	Automatically Extracting Web API Specifications from HTML Documentation. CoRR Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan
2018	—	`conf`	Designing bug detection rules for fewer false alarms. ICSE (Companion Volume) Jaechang Nam, Song Wang, Yuan Xi, Lin Tan
2018	J	`jnl`	Heterogeneous Defect Prediction. IEEE Trans. Software Eng. Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan
2018	J	`jnl`	Measuring the Impact of Code Dependencies on Software Architecture Recovery Techniques. IEEE Trans. Software Eng. Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger
2018	J	`jnl`	On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files. Empir. Softw. Eng. Tomasz Kuchta, Thibaud Lutellier, Edmund Wong, Lin Tan, Cristian Cadar
2018	A	`conf`	Towards extracting web API specifications from documentation. MSR Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan
2017	—	`conf`	Better test cases for better automated program repair. ESEC/SIGSOFT FSE Jinqiu Yang, Alexey Zhikhartsev, Yuefei Liu, Lin Tan
2017	A	`ed.`	Proceedings of the 14th International Conference on Mining Software Repositories, MSR 2017, Buenos Aires, Argentina, May 20-28, 2017 MSR Jesús M. González-Barahona, Abram Hindle, Lin Tan
2017	—	`conf`	QTEP: quality-aware test case prioritization. ESEC/SIGSOFT FSE Song Wang, Jaechang Nam, Lin Tan
2016	A*	`conf`	Automatic model generation from documentation for Java API functions. ICSE Juan Zhai, Jianjun Huang, Shiqing Ma, Xiangyu Zhang, Lin Tan, Jianhua Zhao, Feng Qin
2016	A*	`conf`	Automatically learning semantic features for defect prediction. ICSE Song Wang, Taiyue Liu, Lin Tan
2016	A*	`conf`	Bugram: bug detection with n-gram language models. ASE Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan
2016	—	`conf`	Detecting sensitive data disclosure via bi-directional text correlation analysis. SIGSOFT FSE Jianjun Huang, Xiangyu Zhang, Lin Tan
2015	A	`conf`	CloCom: Mining existing source code for automatic comment generation. SANER Edmund Wong, Taiyue Liu, Lin Tan
2015	—	`ch.`	Code Comment Analysis for Improving Software Quality. The Art and Science of Analyzing Software Data Lin Tan
2015	—	`conf`	Comparing Software Architecture Recovery Techniques Using Accurate Dependencies. ICSE (2) Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger
2015	—	`conf`	DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. ICSE (1) Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan
2015	—	`conf`	Online Defect Prediction for Imbalanced Data. ICSE (2) Ming Tan, Lin Tan, Sashank Dara, Caleb Mayeux
2015	—	`conf`	Workshop on the application of security and testing to rich internet applications. CASCON Guy-Vincent Jourdan, Gregor von Bochmann, Ettore Merlo, James Miller, Vio Onut, Lin Tan
2014	A*	`conf`	AsDroid: detecting stealthy behaviors in Android applications by user interface and program behavior contradiction. ICSE Jianjun Huang, Xiangyu Zhang, Lin Tan, Peng Wang, Bin Liang
2014	J	`jnl`	Bug characteristics in open source software. Empir. Softw. Eng. Lin Tan, Chen Liu, Zhenmin Li, Xuanhui Wang, Yuanyuan Zhou, ChengXiang Zhai
2014	J	`jnl`	Correlations between bugginess and time-based commit characteristics. Empir. Softw. Eng. Jon Eyolfson, Lin Tan, Patrick Lam
2014	A	`conf`	Finding patterns in static analysis alerts: improving actionable alert ranking. MSR Quinn Hanam, Lin Tan, Reid Holmes, Patrick Lam
2014	J	`jnl`	SWordNet: Inferring semantically related words from software context. Empir. Softw. Eng. Jinqiu Yang, Lin Tan
2014	B	`conf`	em-SPADE: a compiler extension for checking rules extracted from processor specifications. LCTES Sandeep Chaudhary, Sebastian Fischmeister, Lin Tan
2013	A*	`conf`	AutoComment: Mining question and answer sites for automatic comment generation. ASE Edmund Wong, Jinqiu Yang, Lin Tan
2013	A	`conf`	Discovering, reporting, and fixing performance bugs. MSR Adrian Nistor, Tian Jiang, Lin Tan
2013	—	`conf`	Generating precise dependencies for large software. MTD@ICSE Pei Wang, Jinqiu Yang, Lin Tan, Robert Kroeger, J. David Morgenthaler
2013	A*	`conf`	Personalized defect prediction. ASE Tian Jiang, Lin Tan, Sunghun Kim
2013	A	`conf`	R2Fix: Automatically Generating Bug Fixes from Bug Reports. ICST Chen Liu, Jinqiu Yang, Lin Tan, Munawar Hafiz
2012	A	`conf`	@tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies. ICST Shin Hwei Tan, Darko Marinov, Lin Tan, Gary T. Leavens
2012	A	`conf`	Inferring semantically related words from software context. MSR Jinqiu Yang, Lin Tan
2011	A	`conf`	Do time of day and developer experience affect commit bugginess. MSR Jon Eyolfson, Lin Tan, Patrick Lam
2011	A*	`conf`	aComment: mining annotations from comments and code to detect interrupt related concurrency bugs. ICSE Lin Tan, Yuanyuan Zhou, Yoann Padioleau
2010	A*	`conf`	SherLog: error diagnosis by connecting clues from run-time logs. ASPLOS Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy
2009	A*	`conf`	Listening to programmers - Taxonomies and characteristics of comments in operating system code. ICSE Yoann Padioleau, Lin Tan, Yuanyuan Zhou
2008	A*	`conf`	AutoISES: Automatically Inferring Security Specification and Detecting Violations. USENIX Security Symposium Lin Tan, Xiaolan Zhang, Xiao Ma, Weiwei Xiong, Yuanyuan Zhou
2007	A*	`conf`	/icomment: bugs or bad comments?/. SOSP Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou
2007	A	`conf`	HotComments: How to Make Program Comments More Useful? HotOS Lin Tan, Ding Yuan, Yuanyuan Zhou
2007	C	`conf`	iKernel: Isolating Buggy and Malicious Device Drivers Using Hardware Virtualization Support. DASC Lin Tan, Ellick Chan, Reza Farivar, Nevedita Mallick, Jeffrey C. Carlyle, Francis M. David, Roy H. Campbell
2006	J	`jnl`	Architectures for Bit-Split String Scanning in Intrusion Detection. IEEE Micro Lin Tan, Timothy Sherwood
2006	J	`jnl`	Bit-split string-matching engines for intrusion detection and prevention. ACM Trans. Archit. Code Optim. Lin Tan, Brett Brotherton, Timothy Sherwood
2006	—	`conf`	Have things changed now?: an empirical study of bug characteristics in modern open source software. ASID Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, ChengXiang Zhai
2005	A*	`conf`	A High Throughput String Matching Architecture for Intrusion Detection and Prevention. ISCA Lin Tan, Timothy Sherwood
2005	A*	`conf`	Hibernator: helping disk arrays sleep through the winter. SOSP Qingbo Zhu, Zhifeng Chen, Lin Tan, Yuanyuan Zhou, Kimberly Keeton, John Wilkes