Wei Le - RankMe

67 papers A* 15A 4Journal 33Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ConceptCoder: Improve Code Reasoning via Concept Learning. CoRR Md Mahbubur Rahman, Hengbo Tong, Wei Le
2025	J	`jnl`	Automatically Detecting Numerical Instability in Machine Learning Applications via Soft Assertions. CoRR Shaila Sharmin, Anwar Hossain Zahid, Subhankar Bhattacharjee, Chiamaka Igwilo, Miryung Kim, Wei Le
2025	J	`jnl`	Automatically Detecting Numerical Instability in Machine Learning Applications via Soft Assertions. Proc. ACM Softw. Eng. Shaila Sharmin, Anwar Hossain Zahid, Subhankar Bhattacharjee, Chiamaka Igwilo, Miryung Kim, Wei Le
2025	A*	`conf`	Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE. ICSE Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le
2025	J	`jnl`	CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning. CoRR Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail E. Kaiser, Baishakhi Ray, Wei Le
2024	J	`jnl`	A Comprehensive Study of the Capabilities of Large Language Models for Vulnerability Detection. CoRR Benjamin Steenhoek, Md Mahbubur Rahman, Monoshi Kumar Roy, Mirza Sanjida Alam, Earl T. Barr, Wei Le
2024	J	`jnl`	Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE. CoRR Benjamin Steenhoek, Kalpathy Sivaraman, Renata Saldivar Gonzalez, Yevhen Mohylevskyy, Roshanak Zilouchian Moghaddam, Wei Le
2024	A*	`conf`	Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection. ICSE Benjamin Steenhoek, Hongyang Gao, Wei Le
2024	—	`conf`	Evolution Mechanism of Cooperative Innovation in Integrated Circuit Industry Innovation Ecosystem from the Perspective of Symbiosis. ICBAR Hengxiang Ye, Wei Le, Wanqing Liu
2024	J	`jnl`	Integrating external representations and internal patterns into dynamic multiple-criteria decision making. Ann. Oper. Res. Xiaoyang Yao, Enmeng Liu, Xiaolei Sun, Wei Le, Jianping Li
2024	J	`jnl`	MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic Report. CoRR Samrajya Thapa, Koushik Howlader, Subhankar Bhattacharjee, Wei Le
2024	A*	`conf`	TRACED: Execution-aware Pre-training for Source Code. ICSE Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2024	—	`conf`	Testing GPU Numerics: Finding Numerical Differences Between NVIDIA and AMD GPUs. SC Workshops Anwar Hossain Zahid, Ignacio Laguna, Wei Le
2024	J	`jnl`	Testing GPU Numerics: Finding Numerical Differences Between NVIDIA and AMD GPUs. CoRR Anwar Hossain Zahid, Ignacio Laguna, Wei Le
2024	A*	`conf`	Towards Causal Deep Learning for Vulnerability Detection. ICSE Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
2024	—	`conf`	Towards Reliability MRAM for Energy-Efficient Spin-orbit Torque Switching. SBCCI Zhenghan Fang, Lirida Naviner, Wen Wang, Wei Le, Hao Cai
2023	J	`jnl`	A Study of Static Warning Cascading Tools (Experience Paper). CoRR Xiuyuan Guo, Ashwin Kallingal Joshy, Benjamin Steenhoek, Wei Le, Lori Flynn
2023	J	`jnl`	ActiveClean: Generating Line-Level Vulnerability Data via Active Learning. CoRR Ashwin Kallingal Joshy, Mirza Sanjida Alam, Shaila Sharmin, Qi Li, Wei Le
2023	J	`jnl`	An Effective Data-Driven Approach for Localizing Deep Learning Faults. CoRR Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan
2023	A*	`conf`	An Empirical Study of Deep Learning Models for Vulnerability Detection. ICSE Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le
2023	J	`jnl`	Beryllium: Neural Search for Algorithm Implementations. CoRR Adithya Kulkarni, Mohna Chakraborty, Yonas Sium, Sai Charishma Valluri, Wei Le, Qi Li
2023	—	`conf`	Block-Level Stiffness Analysis of Residual Networks. ICANN (10) Eliska Kloberdanz, Wei Le
2023	J	`jnl`	Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection. CoRR Benjamin Steenhoek, Md Mahbubur Rahman, Shaila Sharmin, Wei Le
2023	—	`conf`	Enterprise Digital Transformation Risk Identification and Dynamic Assessment Model under Big Data Perspective. ICBAR Wanqing Liu, Wei Le
2023	A*	`conf`	GameRTS: A Regression Testing Framework for Video Games. ICSE Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang
2023	J	`jnl`	MixQuant: Mixed Precision Quantization with a Bit-width Optimization Search. CoRR Eliska Kloberdanz, Wei Le
2023	J	`jnl`	Reducing branch divergence to speed up parallel execution of unit testing on GPUs. J. Supercomput. Taghreed Bagies, Wei Le, Jeremy Sheaffer, Ali Jannesari
2023	J	`jnl`	Reproducing Failures in Fault Signatures. CoRR Ashwin Kallingal Joshy, Benjamin Steenhoek, Xiuyuan Guo, Wei Le
2023	—	`conf`	S-SOLVER: Numerically Stable Adaptive Step Size Solver for Neural ODEs. ICANN (9) Eliska Kloberdanz, Wei Le
2023	J	`jnl`	TRACED: Execution-aware Pre-training for Source Code. CoRR Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray
2023	J	`jnl`	Towards Causal Deep Learning for Vulnerability Detection. CoRR Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le
2023	A*	`conf`	Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks. KDD Wei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai
2022	J	`jnl`	An Empirical Study of Deep Learning Models for Vulnerability Detection. CoRR Benjamin Steenhoek, Md Mahbubur Rahman, Richard Jiles, Wei Le
2022	J	`jnl`	DeepDFA: Dataflow Analysis-Guided Efficient Graph Learning for Vulnerability Detection. CoRR Benjamin Steenhoek, Wei Le, Hongyang Gao
2022	A*	`conf`	DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. ICSE Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan
2022	A*	`conf`	DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning. ICSE Eliska Kloberdanz, Kyle G. Kloberdanz, Wei Le
2022	J	`jnl`	DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning. CoRR Eliska Kloberdanz, Kyle G. Kloberdanz, Wei Le
2022	A*	`conf`	FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures. ASE Ashwin Kallingal Joshy, Wei Le
2022	J	`jnl`	FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures. CoRR Ashwin Kallingal Joshy, Wei Le
2021	—	`conf`	An Improved (Adversarial) Reprogramming Technique for Neural Networks. ICANN (1) Eliska Kloberdanz, Jin Tian, Wei Le
2021	J	`jnl`	DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs. CoRR Mohammad Wardat, Breno Dantas Cruz, Wei Le, Hridesh Rajan
2021	A*	`conf`	DeepLocalize: Fault Localization for Deep Neural Networks. ICSE Mohammad Wardat, Wei Le, Hridesh Rajan
2021	J	`jnl`	DeepLocalize: Fault Localization for Deep Neural Networks. CoRR Mohammad Wardat, Wei Le, Hridesh Rajan
2021	A*	`conf`	RNNRepair: Automatic RNN Repair via Model-based Analysis. ICML Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing
2021	J	`jnl`	Specifying Callback Control Flow of Mobile Apps Using Finite Automata. IEEE Trans. Software Eng. Danilo Dominguez Perez, Wei Le
2021	J	`jnl`	Validating Static Warnings via Testing Code Fragments. CoRR Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le
2021	A	`conf`	Validating static warnings via testing code fragments. ISSTA Ashwin Kallingal Joshy, Xueyuan Chen, Benjamin Steenhoek, Wei Le
2019	J	`jnl`	Automatic Loop Summarization via Path Dependency Analysis. IEEE Trans. Software Eng. Xiaofei Xie, Bihuan Chen, Liang Zou, Yang Liu, Wei Le, Xiaohong Li
2019	J	`jnl`	Invariant Diffs. CoRR Ashwin Kallingal Joshy, Wei Le
2019	—	`conf`	Research on the Influence of Airline Service Factors on Purchase Intention: Based on Emotional Perspective. ICMSS Donghui He, Wei Le, Benhai Guo, Hongjuan Yin
2019	J	`jnl`	Testing Criteria for Mobile Apps Based on Callback Sequences. CoRR Danilo Dominguez Perez, Wei Le
2017	—	`conf`	Generating Predicate Callback Summaries for the Android Framework. MOBILESoft@ICSE Danilo Dominguez Perez, Wei Le
2017	J	`jnl`	Generating Predicate Callback Summaries for the Android Framework. CoRR Danilo Dominguez Perez, Wei Le
2017	—	`conf`	Predicate callback summaries. ICSE (Companion Volume) Danilo Dominguez Perez, Wei Le
2016	A*	`conf`	Generating performance distributions via probabilistic symbolic execution. ICSE Bihuan Chen, Yang Liu, Wei Le
2016	—	`conf`	Proteus: computing disjunctive loop summary via path dependency analysis. SIGSOFT FSE Xiaofei Xie, Bihuan Chen, Yang Liu, Wei Le, Xiaohong Li
2015	A	`conf`	S-looper: automatic summarization for multipath string loops. ISSTA Xiaofei Xie, Yang Liu, Wei Le, Xiaohong Li, Hongxu Chen
2014	A	`conf`	A code clone oracle. MSR Daniel E. Krutz, Wei Le
2014	A*	`conf`	Patch verification via multiversion interprocedural control flow graphs. ICSE Wei Le, Shannon D. Pattison
2013	J	`jnl`	Marple: Detecting faults in path segments using automatically generated analyses. ACM Trans. Softw. Eng. Methodol. Wei Le, Mary Lou Soffa
2013	A*	`conf`	Segmented symbolic analysis. ICSE Wei Le
2011	A	`conf`	Generating analyses for detecting faults in path segments. ISSTA Wei Le, Mary Lou Soffa
2011	—	`conf`	Lazy preemption to enable path-based analysis of interrupt-driven code. SESENA@ICSE Wei Le, Jing Yang, Mary Lou Soffa, Kamin Whitehouse
2010	—	`conf`	Path-based fault correlations. SIGSOFT FSE Wei Le, Mary Lou Soffa
2008	—	`conf`	Marple: a demand-driven path-sensitive buffer overflow detector. SIGSOFT FSE Wei Le, Mary Lou Soffa
2007	—	`conf`	Refining buffer overflow detection via demand-driven path-sensitive analysis. PASTE Wei Le, Mary Lou Soffa
2005	J	`jnl`	Software Assurance by Bounded Exhaustive Testing. IEEE Trans. Software Eng. David Coppit, Jinlin Yang, Sarfraz Khurshid, Wei Le, Kevin J. Sullivan