Yi Li -

Registered user since Sat 6 Apr 2019

Name:Yi Li

Country:United States

Affiliation:New Jersey Institute of Technology

Contributions

ICSE 2023	Author of DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection within the Technical Track-track Author of Does data sampling improve deep learning-based vulnerability detection? Yeas! and Nays! within the Technical Track-track
ESEC/FSE 2022	Author of Vulnerability Detection with Fine-Grained Interpretations within the ESEC/FSE 2021-track Author of UTANGO: Untangling Commits with Context-Aware, Graph-Based, Code Change Clustering Learning Model within the Research Papers-track Author of Fault Localization to Detect Co-change Fixing Locations within the Research Papers-track
ICSE 2022	Author of DEAR: A Novel Deep Learning-based Approach for Automated Program Repair within the Technical Track-track
ESEC/FSE 2021	Author of Vulnerability Detection with Fine-Grained Interpretations within the Research Papers-track
ICSE 2021	Author of Fault Localization with Code Coverage Representation Learning within the Technical Track-track Author of A Context-based Automated Approach for Method Name Consistency Checking and Suggestion within the Technical Track-track
ICSE 2020	Author of Improving Automated Program Repair using Two-layer Tree-based Neural Networks within the ICSE 2020 Posters-track Author of Improving Bug Detection and Fixing via Code Representation Learning within the ACM Student Research Competition-track Author of DLFix: Context-based Code Transformation Learning for Automated Program Repair within the Technical Papers-track Author of An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums within the ICSE 2020 Posters-track
MSR 2020	Author of A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries within the Data Showcase-track
ASE 2019	Author of Combining Program Analysis and Statistical Language Model for Code Statement Completion within the Research Papers-track
SPLASH 2019	Author of Improving Bug Detection via Context-Based Code Representation Learning and Attention-Based Neural Networks within the OOPSLA-track Author of Improving Bug Detection via Context-based Code Representation Learning and Attention-based Neural Networks within the Posters-track