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Anh M. T. Bui

Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells
2023 · Anh Ho, Anh M. T. Bui, et al. · International Conference on Evaluation and Assessment in Software Engineering (EASE) · 24
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EnseSmells : Deep ensemble and programming language models for automated code smells detection
2025 · Anh Ho, Anh M.T. Bui, et al. · Journal of Systems and Software · 16
Combining Deep Learning and Kernel PCA for Software Defect Prediction
2022 · Anh Ho, Nguyen Nhat Hai, et al. · International Symposium on Information and Communication Technology · 10
Detection of Technical Debt in Java Source Code
2026 · Nam Le Hai, Anh M. T. Bui, et al. · ACM Transactions on Software Engineering and Methodology · 6
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Recognition of breast cancer from heterogeneous ultrasound images: A multi-level deep learning approach
2025 · Linh T. Duong, Thu T.H. Doan, et al. · Informatics in Medicine Unlocked · 4
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
2024 · Yen-Trang Dang, Thanh Le-Cong, et al. · International Conference on Evaluation and Assessment in Software Engineering (EASE) · 3
XRepoTest: Benchmarking Multilingual Repository-Level Unit Test Generation for Large Language Models
2026 · Dung Le Quang, Dong Cao Van, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking
2024 · Duc Anh Le, Bui Thi-Mai-Anh, et al. · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · 2
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On the Value of Code Embedding and Imbalanced Learning Approaches for Software Defect Prediction
2023 · Bui Thi-Mai-Anh, Nguyen Nhat-Hai · International Symposium on Information and Communication Technology · 2
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Towards Knowledge Alignment in Code LLMs: Contrastive Unlearning for Evolving APIs
2026 · Huy Q. Tran, Dang H. Vu, et al. · IEEE International Conference on Software Maintenance (ICSM) · 1
Which Neurons Detect Malicious Code? A Probing Study of LLM Security Knowledge
2026 · Dao, Lam D., Nguyen, Vang T., et al. · arXiv (Cornell University) · 1
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When Retriever Meets Generator: A Joint Model for Code Comment Generation
2025 · Tien P. T. Le, Anh M. T. Bui, et al. · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · 1
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Metaheuristic for a soft-rectangle packing problem with guillotine constraints
2023 · Bui Quoc Trung, Bui Thi-Mai-Anh, et al. · International Symposium on Information and Communication Technology · 1
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A Novel Fitness Function for Automated Software Test Case Generation Based on Nested Constraint Hardness
2023 · Thi-Mai-Anh Bui, Quoc-Trung Bui, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 1
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Empirical Analysis of Filter Feature Selection Criteria on Financial Datasets
2022 · Bui Quoc Trung, Tran Van Tri, et al. · International Symposium on Information and Communication Technology · 1
Walking on thin ice? Defending RAG-based code recommender systems against poisoning attacks
2026 · Dang H. Vu, Quan M. Ngo, et al. · Journal of Systems and Software
Larger is Not Always Better: Leveraging Structured Code Diffs for Comment Inconsistency Detection
2026 · Hoang Vinh-Phong Nguyen, Anh M. T. Bui, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
When RAG Lies: Link-Injection Knowledge-Base Poisoning in Code Generation
2026 · Trung-Hieu N. Nguyen, Trung-Hieu T. Nguyen, et al. · IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
On the Gap Between Declarative Vulnerability Knowledge and Secure Code Generation in Large Language Models
2026 · Dang H. Vu, Lam D. Dao, et al. · SSRN Electronic Journal
Turning Over a New Leaf: Machine Unlearning for Malicious Code Removal in LLMs
2026 · Mong X. Nguyen, Anh M. T. Bui, et al. · SSRN Electronic Journal
Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations
2025 · Hoang Minh Vuong, Anh M. T. Bui, et al. · International Conference on Evaluation and Assessment in Software Engineering (EASE)
Dynamic Difficulty Coefficient in Search-Based Software Testing: Targeting to Hard Branch Coverage
2024 · Thi-Mai-Anh Bui, Van-Tri Do, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
Works count: 22
Citation count: 75
H-index: 4
I10-index: 3
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