Statistical Learning for Inference between Implementations and Documentation. - Hung Phan; Hoan Anh Nguyen; Tien N. Nguyen; Hridesh Rajan (ICSE-NIER, 2017)

Statistical learning of API fully qualified names in code snippets of online forums. - Hung Phan; Hoan Anh Nguyen; Ngoc M. Tran; Linh H. Truong; Anh Tuan Nguyen 001; Tien N. Nguyen (ICSE, 2018)

Complementing global and local contexts in representing API descriptions to improve API retrieval tasks. - Thanh Van Nguyen; Ngoc M. Tran; Hung Phan; Trong Duc Nguyen; Linh H. Truong; Anh Tuan Nguyen 001; Hoan Anh Nguyen; Tien N. Nguyen (ESEC/SIGSOFT FSE, 2018)

Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations. - Hung Phan (CoRR, 2019)

Suggesting natural method names to check name consistencies. - Son Nguyen; Hung Phan; Trinh Le; Tien N. Nguyen (ICSE, 2020)

Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation. - Hung Phan; Arushi Sharma; Ali Jannesari (ASE Workshops, 2021)

Heterogeneous Graph Neural Networks for Software Effort Estimation. - Hung Phan; Ali Jannesari (ESEM, 2022)

Story Point Level Classification by Text Level Graph Neural Network. - Hung Phan; Ali Jannesari (NLBSE, 2022)

Story Point Effort Estimation by Text Level Graph Neural Network. - Hung Phan; Ali Jannesari (CoRR, 2022)

HybridNets: End-to-End Perception Network. - Dat Vu; Bao Ngo; Hung Phan (CoRR, 2022)

Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. - Hung Phan; Ali Jannesari (CIKM, 2023)

Integrating Information from Natural Language Parse Tree to Code Generation. - Hung Phan; Ali Jannesari (Tiny Papers @ ICLR, 2023)

Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. - Le Chen; Quazi Ishtiaque Mahmud; Hung Phan; Nesreen K. Ahmed; Ali Jannesari (MLSys, 2023)

Leveraging Statistical Machine Translation for Code Search. - Hung Phan; Ali Jannesari (EASE, 2024)

Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows. - Ha Minh Hieu; Hung Phan; Duc Chinh Tran; Duc Cuong Van; Dao Van Tung; Huynh Thi Thanh Binh (GECCO Companion, 2024)

Leveraging Automatically Optimized Forecasters and Large Language Model for Predicting Vietnamese Rice Export Price. - Hung Phan; Vy Nguyen; Vu Vo; Nhat-Quang Tran; Linh Tran; Son Dao; Hiep Pham (RIVF, 2024)

The Landscape and Challenges of HPC Research and LLMs. - Le Chen; Nesreen K. Ahmed; Akash Dutta; Arijit Bhattacharjee; Sixing Yu; Quazi Ishtiaque Mahmud; Waqwoya Abebe; Hung Phan; Aishwarya Sarkar; Branden Butler; Niranjan Hasabnis; Gal Oren 001; et al. (CoRR, 2024)

RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. - Hung Phan; Anurag Acharya 002; Sarthak Chaturvedi; Shivam Sharma; Mike Parker; Dan Nally; Ali Jannesari; Karl Pazdernik; Mahantesh Halappanavar; Sai Munikoti; Sameera Horawalavithana (CoRR, 2024)

PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain. - Rounak Meyur; Hung Phan; Sridevi Wagle; Jan Strube 001; Mahantesh Halappanavar; Sameera Horawalavithana; Anurag Acharya 002; Sai Munikoti (CoRR, 2024)

Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms. - Hieu Huynh; Khanh Le; Linh Vu; Trang Nguyen; Matthew Holcomb; Stefano Forli; Hung Phan (J. Comput. Chem., 2024)

Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization. - Ha Minh Hieu; Hung Phan; Tung Duy Doan; Dao Van Tung; Dao Tran; Huynh Thi Thanh Binh (CoRR, 2025)