| 2026 | SANER | Larger is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection. | Hoang Vinh-Phong Nguyen, Anh M. T. Bui, Phuong T. Nguyen |
| 2025 | EASE | Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy. | Motunrayo Osatohanmen Ibiyo, Thinakone Louangdy, Phuong T. Nguyen, Claudio Di Sipio, Davide Di Ruscio |
| 2025 | EASE | 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, Davide Di Ruscio |
| 2025 | EASE | Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity. | Lorenzo De Tomasi, Claudio Di Sipio, Antinisca Di Marco, Phuong T. Nguyen |
| 2025 | ESEM | 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 |
| 2025 | ESEM | ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells. | Samal Nursapa, Anastassiya Samuilova, Alessio Bucaioni, Phuong T. Nguyen |
| 2024 | EASE | 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, Bach Le, Quyet-Thang Huynh |
| 2024 | EASE | When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM. | Michael Dubem Igbomezie, Phuong T. Nguyen, Davide Di Ruscio |
| 2024 | EASE | Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset. | Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen |
| 2024 | ESEM | Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. | Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta |
| 2024 | ESEM | Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. | Duc Anh Le, Bui Thi Mai Anh, Phuong T. Nguyen, Davide Di Ruscio |
| 2023 | EASE | Too long; didn't read: Automatic summarization of GitHub README.MD with Transformers. | Thu Thu Ha Doan, Phuong T. Nguyen, Juri Di Rocco, Davide Di Ruscio |
| 2023 | EASE | Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells. | Anh Ho, Anh M. T. Bui, Phuong T. Nguyen, Amleto Di Salle |
| 2023 | LCN | On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks. | Jonas Schulz, Hristina Radak, Phuong T. Nguyen, Giang T. Nguyen, Frank H. P. Fitzek |
| 2023 | MSR | Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? | Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta |
| 2022 | ICSE | PILOT: synergy between text processing and neural networks to detect self-admitted technical debt. | Amleto Di Salle, Alessandra Rota, Phuong T. Nguyen, Davide Di Ruscio, Francesca Arcelli Fontana, Irene Sala |
| 2022 | MODELS | Finding with NEMO: a recommender system to forecast the next modeling operations. | Juri Di Rocco, Claudio Di Sipio, Phuong T. Nguyen, Davide Di Ruscio, Alfonso Pierantonio |
| 2021 | MODELS | A Lightweight Approach for the Automated Classification and Clustering of Metamodels. | Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen, Alfonso Pierantonio |
| 2017 | ISMIS | Modification to K-Medoids and CLARA for Effective Document Clustering. | Phuong T. Nguyen, Kai Eckert, Azzurra Ragone, Tommaso Di Noia |
| 2015 | WWW | An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data. | Phuong T. Nguyen, Paolo Tomeo, Tommaso Di Noia, Eugenio Di Sciascio |