Hung Phan

26 papers A* 3A 3Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
MMP-A*: Multimodal Perception Enhanced Incremental Heuristic Search on Path Planning.
CoRR
Ha Minh Hieu, Khanh Ly Ta, Hung Phan, Tung Duy Doan, Tung Dao, Dao Tran, Huynh Thi Thanh Binh
2026 A* conf
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization.
AAAI
Ha Minh Hieu, Hung Phan, Tung Duy Doan, Tung Dao, Cong Dao Tran, Huynh Thi Thanh Binh
2025 J jnl
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization.
CoRR
Ha Minh Hieu, Hung Phan, Tung Duy Doan, Dao Van Tung, Dao Tran, Huynh Thi Thanh Binh
2024 — conf
Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows.
GECCO Companion
Ha Minh Hieu, Hung Phan, Duc Chinh Tran, Duc Cuong Van, Dao Van Tung, Huynh Thi Thanh Binh
2024 — conf
Leveraging Automatically Optimized Forecasters and Large Language Model for Predicting Vietnamese Rice Export Price.
RIVF
Hung Phan, Vy Nguyen, Vu Vo, Nhat-Quang Tran, Linh Tran, Son Vu Truong Dao, Hiep Pham
2024 A conf
Leveraging Statistical Machine Translation for Code Search.
EASE
Hung Phan, Ali Jannesari
2024 J jnl
PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain.
CoRR
Rounak Meyur, Hung Phan, Sridevi Wagle, Jan Strube, Mahantesh Halappanavar, Sameera Horawalavithana, Anurag Acharya, Sai Munikoti
2024 J jnl
RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension.
CoRR
Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana
2024 J jnl
Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms.
J. Comput. Chem.
Hieu Huynh, Khanh Le, Linh Vu, Trang Nguyen, Matthew Holcomb, Stefano Forli, Hung Phan
2024 J jnl
The Landscape and Challenges of HPC Research and LLMs.
CoRR
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, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari
2023 A conf
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark.
CIKM
Hung Phan, Ali Jannesari
2023 J jnl
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark.
CoRR
Hung Phan, Ali Jannesari
2023 — conf
Integrating Information from Natural Language Parse Tree to Code Generation.
Tiny Papers @ ICLR
Hung Phan, Ali Jannesari
2023 — conf
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation.
MLSys
Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
2023 J jnl
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation.
CoRR
Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
2022 A conf
Heterogeneous Graph Neural Networks for Software Effort Estimation.
ESEM
Hung Phan, Ali Jannesari
2022 J jnl
Heterogeneous Graph Neural Networks for Software Effort Estimation.
CoRR
Hung Phan, Ali Jannesari
2022 J jnl
HybridNets: End-to-End Perception Network.
CoRR
Dat Vu, Bao Ngo, Hung Phan
2022 J jnl
Story Point Effort Estimation by Text Level Graph Neural Network.
CoRR
Hung Phan, Ali Jannesari
2022 — conf
Story Point Level Classification by Text Level Graph Neural Network.
NLBSE
Hung Phan, Ali Jannesari
2021 — conf
Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation.
ASE Workshops
Hung Phan, Arushi Sharma, Ali Jannesari
2020 A* conf
Suggesting natural method names to check name consistencies.
ICSE
Son Nguyen, Hung Phan, Trinh Le, Tien N. Nguyen
2019 J jnl
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations.
CoRR
Hung Phan
2018 — conf
Complementing global and local contexts in representing API descriptions to improve API retrieval tasks.
ESEC/SIGSOFT FSE
Thanh Van Nguyen, Ngoc M. Tran, Hung Phan, Trong Duc Nguyen, Linh H. Truong, Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen
2018 A* conf
Statistical learning of API fully qualified names in code snippets of online forums.
ICSE
Hung Phan, Hoan Anh Nguyen, Ngoc M. Tran, Linh H. Truong, Anh Tuan Nguyen, Tien N. Nguyen
2017 — conf
Statistical Learning for Inference between Implementations and Documentation.
ICSE-NIER
Hung Phan, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan