| 2025 | ICSE | Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE. | Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le |
| 2024 | ICSE | TRACED: Execution-aware Pre-training for Source Code. | Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray |
| 2024 | ICSE | Towards Causal Deep Learning for Vulnerability Detection. | Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le |
| 2024 | ICSE | Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. | Benjamin Steenhoek, Hongyang Gao, Wei Le |
| 2024 | SC | Testing GPU Numerics: Finding Numerical Differences Between NVIDIA and AMD GPUs. | Anwar Hossain Zahid, Ignacio Laguna, Wei Le |
| 2023 | ICANN | S-SOLVER: Numerically Stable Adaptive Step Size Solver for Neural ODEs. | Eliska Kloberdanz, Wei Le |
| 2023 | ICANN | Block-Level Stiffness Analysis of Residual Networks. | Eliska Kloberdanz, Wei Le |
| 2023 | ICSE | An Empirical Study of Deep Learning Models for Vulnerability Detection. | Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le |
| 2023 | ICSE | GameRTS: A Regression Testing Framework for Video Games. | Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang |
| 2023 | KDD | Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks. | Wei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai |
| 2022 | ICSE | DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning. | Eliska Kloberdanz, Kyle G. Kloberdanz, Wei Le |
| 2022 | ICSE | DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. | Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan |
| 2021 | ICANN | An Improved (Adversarial) Reprogramming Technique for Neural Networks. | Eliska Kloberdanz, Jin Tian, Wei Le |
| 2021 | ICML | RNNRepair: Automatic RNN Repair via Model-based Analysis. | Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing |
| 2021 | ICSE | DeepLocalize: Fault Localization for Deep Neural Networks. | Mohammad Wardat, Wei Le, Hridesh Rajan |
| 2021 | ISSTA | Validating static warnings via testing code fragments. | Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le |
| 2017 | ICSE | Predicate callback summaries. | Danilo Dominguez Perez, Wei Le |
| 2017 | ICSE | Generating Predicate Callback Summaries for the Android Framework. | Danilo Dominguez Perez, Wei Le |
| 2016 | ICSE | Generating performance distributions via probabilistic symbolic execution. | Bihuan Chen, Yang Liu, Wei Le |
| 2015 | ISSTA | S-looper: automatic summarization for multipath string loops. | Xiaofei Xie, Yang Liu, Wei Le, Xiaohong Li, Hongxu Chen |
| 2014 | ICSE | Patch verification via multiversion interprocedural control flow graphs. | Wei Le, Shannon D. Pattison |
| 2014 | MSR | A code clone oracle. | Daniel E. Krutz, Wei Le |
| 2013 | ICSE | Segmented symbolic analysis. | Wei Le |
| 2011 | ICSE | Lazy preemption to enable path-based analysis of interrupt-driven code. | Wei Le, Jing Yang, Mary Lou Soffa, Kamin Whitehouse |
| 2011 | ISSTA | Generating analyses for detecting faults in path segments. | Wei Le, Mary Lou Soffa |