Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells. - Anh Ho; Anh M. T. Bui; Phuong T. Nguyen 001; Amleto Di Salle (EASE, 2023)

LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss. - Yen-Trang Dang; Thanh Le-Cong; Phuc-Thanh Nguyen; Anh M. T. Bui; Phuong T. Nguyen 001; Bach Le 001; Quyet-Thang Huynh (EASE, 2024)

Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. - Duc Anh Le; Anh M. T. Bui; Phuong T. Nguyen 001; Davide Di Ruscio (CoRR, 2024)

Improving the detection of technical debt in Java source code with an enriched dataset. - Nam Le Hai; Anh M. T. Bui; Phuong T. Nguyen 001; Davide Di Ruscio; Rick Kazman (CoRR, 2024)

EnseSmells : Deep ensemble and programming language models for automated code smells detection. - Anh Ho; Anh M. T. Bui; Phuong T. Nguyen 001; Amleto Di Salle; Bach Le 001 (J. Syst. Softw., 2025)

Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations. - Vuong Hoang Minh; Anh M. T. Bui; Phuong T. Nguyen 001; Davide Di Ruscio (CoRR, 2025)

When Retriever Meets Generator: A Joint Model for Code Comment Generation. - Tien P. T. Le; Anh M. T. Bui; Huy N. D. Pham; Alessio Bucaioni; Phuong T. Nguyen (CoRR, 2025)