| 2026 | EuroSys | CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations. | Shangshu Qian, Lin Tan, Yongle Zhang |
| 2025 | AAAI | LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement. | Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan |
| 2025 | ACL | WAFFLE: Fine-tuning Multi-Modal Model for Automated Front-End Development. | Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan |
| 2025 | ACL | Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'. | Shanchao Liang, Nan Jiang, Yiran Hu, Lin Tan |
| 2025 | ICDCS | Partitioned Collaborative Inference for On-Device Models via Evolutionary Reinforcement Learning. | Lin Tan, Pengzhan Zhou, Songtao Guo, Jun Zhao, Zhufang Kuang, Dewen Qiao, Lu Yang |
| 2025 | ICLR | Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning. | Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang, Petr Babkin |
| 2025 | ICRA | SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models. | Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan |
| 2025 | NDSS | Unleashing the Power of Generative Model in Recovering Variable Names from Stripped Binary. | Xiangzhe Xu, Zhuo Zhang, Zian Su, Ziyang Huang, Shiwei Feng, Yapeng Ye, Nan Jiang, Danning Xie, Siyuan Cheng, Lin Tan, Xiangyu Zhang |
| 2025 | SANER | How Effective are Large Language Models in Generating Software Specifications? | Danning Xie, Byoung-Joo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee |
| 2024 | ASIACRYPT | The Boomerang Chain Distinguishers: New Record for 6-Round AES. | Xueping Yan, Lin Tan, Hong Xu, Wen-Feng Qi |
| 2024 | CCGRID | HAPPIES: a History-Aware Efficient Cloud Resource Overcommitment System. | Ziwei Huang, Shibo Tang, Zihao Chang, Lin Tan, Qichao Lu, Jian Ouyang, Wenbin Lv, Zhicheng Yao, Yungang Bao, Sa Wang |
| 2024 | CCS | ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries. | Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, Xiangyu Zhang |
| 2024 | ICASSP | SDRNet: Saliency-Guided Dynamic Restoration Network for Rain and Haze Removal in Nighttime Images. | Wanning Zhu, Lin Tan, Libao Zhang |
| 2023 | AAAI | DisGUIDE: Disagreement-Guided Data-Free Model Extraction. | Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan |
| 2023 | ICICS | SAT-Aided Differential Cryptanalysis of Lightweight Block Ciphers Midori, MANTIS and QARMA. | Yaxin Cui, Hong Xu, Lin Tan, Wenfeng Qi |
| 2023 | ICIP | Nighttime Haze Removal with Spatially Variant Ambient Light and Saliency-Weighted Fused Transmission. | Ruohui Zheng, Lin Tan, Libao Zhang |
| 2023 | ICSE | Revisiting Learning-based Commit Message Generation. | Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan |
| 2023 | ICSE | Impact of Code Language Models on Automated Program Repair. | Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan |
| 2023 | ICSE | KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. | Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang |
| 2023 | ISSTA | How Effective Are Neural Networks for Fixing Security Vulnerabilities. | Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah |
| 2022 | IGARSS | Geosynchronous Spaceborne/Missile-Borne Bistatic SAR Imaging Based on OSA with Highly Squint Angle. | Lin Tan, Jingwen Li, Bing Sun, Yukun Guo, Liwei Sun |
| 2022 | ICSE | EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. | Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan |
| 2022 | ISSTA | DocTer: documentation-guided fuzzing for testing deep learning API functions. | Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey |
| 2021 | ICIP | Nighttime Haze Removal Using Saliency-Oriented Ambient Light And Transmission Estimation. | Lin Tan, Shan Wang, Libao Zhang |
| 2021 | ICSE | CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. | Nan Jiang, Thibaud Lutellier, Lin Tan |
| 2020 | ICSE | CPC: automatically classifying and propagating natural language comments via program analysis. | Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang |
| 2020 | ISSTA | CoCoNuT: combining context-aware neural translation models using ensemble for program repair. | Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan |
| 2019 | ICSE | Towards better utilizing static application security testing. | Jinqiu Yang, Lin Tan, John Peyton, Kristofer A. Duer |
| 2019 | ICSE | CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. | Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan |
| 2018 | ICSE | Designing bug detection rules for fewer false alarms. | Jaechang Nam, Song Wang, Yuan Xi, Lin Tan |
| 2018 | MSR | Towards extracting web API specifications from documentation. | Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan |
| 2017 | FIE | Gatekeepers to broadening participation in engineering investigating variation across high schools comparing who could go versus who does go into engineering. | Andrew L. Gillen, Timothy Kinoshita, David B. Knight, Jacob Grohs, Cheryl Carrico, Holly M. Matusovich, Isabel Bradburn, Lin Tan |
| 2016 | ICSE | Automatically learning semantic features for defect prediction. | Song Wang, Taiyue Liu, Lin Tan |
| 2016 | ICSE | Automatic model generation from documentation for Java API functions. | Juan Zhai, Jianjun Huang, Shiqing Ma, Xiangyu Zhang, Lin Tan, Jianhua Zhao, Feng Qin |
| 2015 | ICSE | Comparing Software Architecture Recovery Techniques Using Accurate Dependencies. | Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger |
| 2015 | ICSE | Online Defect Prediction for Imbalanced Data. | Ming Tan, Lin Tan, Sashank Dara, Caleb Mayeux |
| 2015 | ICSE | DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. | Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan |
| 2015 | UIC | Analysis for Large Passenger Flow Area and Monitoring Technology. | Shengguang Li, Lin Tan, Shiewei Zhao, Qianli Zhou |
| 2015 | UIC | A Survey and Application of Indoor Positioning Based on Scene Classification Optimization. | Jian Sun, Yongling Fu, Lin Tan, Shengguang Li |
| 2014 | ICSE | AsDroid: detecting stealthy behaviors in Android applications by user interface and program behavior contradiction. | Jianjun Huang, Xiangyu Zhang, Lin Tan, Peng Wang, Bin Liang |
| 2014 | ISPEC | On the Recursive Construction of MDS Matrices for Lightweight Cryptography. | Hong Xu, Lin Tan, Xuejia Lai |
| 2014 | MSR | Finding patterns in static analysis alerts: improving actionable alert ranking. | Quinn Hanam, Lin Tan, Reid Holmes, Patrick Lam |
| 2013 | ICSE | Generating precise dependencies for large software. | Pei Wang, Jinqiu Yang, Lin Tan, Robert Kroeger, J. David Morgenthaler |
| 2013 | ICST | R2Fix: Automatically Generating Bug Fixes from Bug Reports. | Chen Liu, Jinqiu Yang, Lin Tan, Munawar Hafiz |
| 2013 | MSR | Discovering, reporting, and fixing performance bugs. | Adrian Nistor, Tian Jiang, Lin Tan |
| 2012 | ICST | @tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies. | Shin Hwei Tan, Darko Marinov, Lin Tan, Gary T. Leavens |
| 2012 | MSR | Inferring semantically related words from software context. | Jinqiu Yang, Lin Tan |
| 2011 | ICSE | aComment: mining annotations from comments and code to detect interrupt related concurrency bugs. | Lin Tan, Yuanyuan Zhou, Yoann Padioleau |
| 2011 | MSR | Do time of day and developer experience affect commit bugginess. | Jon Eyolfson, Lin Tan, Patrick Lam |
| 2010 | ASPLOS | SherLog: error diagnosis by connecting clues from run-time logs. | Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy |
| 2009 | ICSE | Listening to programmers - Taxonomies and characteristics of comments in operating system code. | Yoann Padioleau, Lin Tan, Yuanyuan Zhou |
| 2008 | COMPSAC | Quantifying Trust Based on Service Level Agreement for Software as a Service. | Lin Tan, Chi-Hung Chi, Jianming Deng |
| 2007 | DASC | iKernel: Isolating Buggy and Malicious Device Drivers Using Hardware Virtualization Support. | Lin Tan, Ellick Chan, Reza Farivar, Nevedita Mallick, Jeffrey C. Carlyle, Francis M. David, Roy H. Campbell |
| 2007 | HotOS | HotComments: How to Make Program Comments More Useful? | Lin Tan, Ding Yuan, Yuanyuan Zhou |
| 2007 | SOSP | /*icomment: bugs or bad comments?*/. | Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou |
| 2006 | ASPLOS | Have things changed now?: an empirical study of bug characteristics in modern open source software. | Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, Chengxiang Zhai |
| 2005 | ISCA | A High Throughput String Matching Architecture for Intrusion Detection and Prevention. | Lin Tan, Timothy Sherwood |
| 2005 | SOSP | Hibernator: helping disk arrays sleep through the winter. | Qingbo Zhu, Zhifeng Chen, Lin Tan, Yuanyuan Zhou, Kimberly Keeton, John Wilkes |