Next Syntactic-Unit Code Completion and Applications. - Anh Tuan Nguyen 001; Aashish Yadavally; Tien N. Nguyen (ASE, 2022)

A Hybrid Approach for Inference between Behavioral Exception API Documentation and Implementations, and Its Applications. - Hoan Anh Nguyen; Hung Dang Phan; Syeda Khairunnesa Samantha; Son Nguyen; Aashish Yadavally; Shaohua Wang 002; Hridesh Rajan; Tien N. Nguyen (ASE, 2022)

Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications. - Thanh V. Nguyen; Aashish Yadavally; Tien N. Nguyen (SANER, 2022)

DeepVD: Toward Class-Separation Features for Neural Network Vulnerability Detection. - Wenbo Wang; Tien N. Nguyen; Shaohua Wang 002; Yi Li 048; Jiyuan Zhang; Aashish Yadavally (ICSE, 2023)

(Partial) Program Dependence Learning. - Aashish Yadavally; Tien N. Nguyen; Wenbo Wang; Shaohua Wang 002 (ICSE, 2023)

DeMinify: Neural Variable Name Recovery and Type Inference. - Yi Li 048; Aashish Yadavally; Jiaxing Zhang 002; Shaohua Wang 002; Tien N. Nguyen (ESEC/SIGSOFT FSE, 2023)

Commit-Level, Neural Vulnerability Detection and Assessment. - Yi Li 048; Aashish Yadavally; Jiaxing Zhang 002; Shaohua Wang 002; Tien N. Nguyen (ESEC/SIGSOFT FSE, 2023)

Planning to Guide LLM for Code Coverage Prediction. - Hridya Dhulipala; Aashish Yadavally; Tien N. Nguyen (FORGE, 2024)

Programming Assistant for Exception Handling with CodeBERT. - Yuchen Cai; Aashish Yadavally; Abhishek Mishra; Genesis Montejo; Tien N. Nguyen (ICSE, 2024)

Poirot: Deep Learning for API Misuse Detection. - Yi Li 048; Tien N. Nguyen; Shaohua Wang 002; Aashish Yadavally (ICSE Companion, 2024)

Neural Exception Handling Recommender. - Yi Li 048; Tien N. Nguyen; Yuchen Cai; Aashish Yadavally; Abhishek Mishra; Genesis Montejo (ICSE Companion, 2024)

A Learning-Based Approach to Static Program Slicing. - Aashish Yadavally; Yi Li 048; Shaohua Wang 002; Tien N. Nguyen (Proc. ACM Program. Lang., 2024)

Predictive Program Slicing via Execution Knowledge-Guided Dynamic Dependence Learning. - Aashish Yadavally; Yi Li 048; Tien N. Nguyen (Proc. ACM Softw. Eng., 2024)

Planning a Large Language Model for Static Detection of Runtime Errors in Code Snippets. - Smit Patel; Aashish Yadavally; Hridya Dhulipala; Tien N. Nguyen (ICSE, 2025)

Large Language Models for Safe Minimization. - Aashish Yadavally; Xiaokai Rong; Phat Nguyen; Tien N. Nguyen (ICSE, 2025)

CRISPE: Semantic-Guided Execution Planning and Dynamic Reasoning for Enhancing Code Coverage Prediction. - Hridya Dhulipala; Aashish Yadavally; Smit Soneshbhai Patel; Tien N. Nguyen (Proc. ACM Softw. Eng., 2025)

Blended Analysis for Predictive Execution. - Yi Li 048; Hridya Dhulipala; Aashish Yadavally; Xiaokai Rong; Shaohua Wang 002; Tien N. Nguyen (Proc. ACM Softw. Eng., 2025)

Large Language Model Critics for Execution-Free Evaluation of Code Changes. - Aashish Yadavally; Hoan Nguyen; Laurent Callot; Gauthier Guinet (CoRR, 2025)