Yi Li

According to our database, Yi Li authored at least 25 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Blended Analysis for Predictive Execution.

Yi Li, Hridya Dhulipala, Aashish Yadavally, Xiaokai Rong, Shaohua Wang, Tien N. Nguyen

Proc. ACM Softw. Eng., 2025

2024

Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning.

Aashish Yadavally, Yi Li, Tien N. Nguyen

Proc. ACM Softw. Eng., 2024

A Learning-Based Approach to Static Program Slicing.

Aashish Yadavally, Yi Li, Shaohua Wang, Tien N. Nguyen

Proc. ACM Program. Lang., 2024

Neural Exception Handling Recommender.

Yi Li, Tien N. Nguyen, Yuchen Cai, Aashish Yadavally, Abhishek Mishra, Genesis Montejo

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Poirot: Deep Learning for API Misuse Detection.

Yi Li, Tien N. Nguyen, Shaohua Wang, Aashish Yadavally

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

2023

Commit-Level, Neural Vulnerability Detection and Assessment.

Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

DeMinify: Neural Variable Name Recovery and Type Inference.

Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Contextuality of Code Representation Learning.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays!

Xu Yang, Shaowei Wang, Yi Li, Shaohua Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection.

Wenbo Wang, Tien N. Nguyen, Shaohua Wang, Yi Li, Jiyuan Zhang, Aashish Yadavally

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Rap4DQ: Learning to recommend relevant API documentation for developer questions.

Yi Li, Shaohua Wang, Wenbo Wang, Tien N. Nguyen, Yan Wang, Xinyue Ye

Empir. Softw. Eng., 2022

Fault localization to detect co-change fixing locations.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

UTANGO: untangling commits with context-aware, graph-based, code change clustering learning model.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

DEAR: A Novel Deep Learning-based Approach for Automated Program Repair.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

QA4GIS: A novel approach learning to answer GIS developer questions with API documentation.

Wenbo Wang, Yi Li, Shaohua Wang, Xinyue Ye

Trans. GIS, 2021

Vulnerability detection with fine-grained interpretations.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Fault Localization with Code Coverage Representation Learning.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

A Context-based Automated Approach for Method Name Consistency Checking and Suggestion.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries.

Jiahao Fan, Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the MSR '20: 17th International Conference on Mining Software Repositories, 2020

An empirical study on the characteristics of question-answering process on developer forums.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Improving automated program repair using two-layer tree-based neural networks.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

DLFix: context-based code transformation learning for automated program repair.

Yi Li, Shaohua Wang, Tien N. Nguyen

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Improving bug detection via context-based code representation learning and attention-based neural networks.

Yi Li, Shaohua Wang, Tien N. Nguyen, Son Van Nguyen

Proc. ACM Program. Lang., 2019

An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums.

Yi Li, Shaohua Wang, Tien N. Nguyen, Son Van Nguyen, Xinyue Ye, Yan Wang

CoRR, 2019

Combining Program Analysis and Statistical Language Model for Code Statement Completion.

Son Van Nguyen, Tien N. Nguyen, Yi Li, Shaohua Wang

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019