Hung Phan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Machine Translation

Inter Document Similarities

Top Venues

Publications

Ha Minh Hieu, Hung Phan, Duc Chinh Tran, Duc Cuong Van, Dao Van Tung, Huynh Thi Thanh Binh
Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows. GECCO Companion (2024)
Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, Sameera Horawalavithana
RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension. CoRR (2024)
Hung Phan, Ali Jannesari
Leveraging Statistical Machine Translation for Code Search. EASE (2024)
Hieu Huynh, Khanh Le, Linh Vu, Trang Nguyen, Matthew Holcomb, Stefano Forli, Hung Phan
Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms. J. Comput. Chem. 45 (18) (2024)
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
The Landscape and Challenges of HPC Research and LLMs. CoRR (2024)
Hung Phan, Ali Jannesari
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. CIKM (2023)
Hung Phan, Ali Jannesari
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark. CoRR (2023)
Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. CoRR (2023)
Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. MLSys (2023)
Hung Phan, Ali Jannesari
Story Point Level Classification by Text Level Graph Neural Network. NLBSE (2022)
Hung Phan, Ali Jannesari
Heterogeneous Graph Neural Networks for Software Effort Estimation. ESEM (2022)
Hung Phan, Ali Jannesari
Heterogeneous Graph Neural Networks for Software Effort Estimation. CoRR (2022)
Dat Vu, Bao Ngo, Hung Phan
HybridNets: End-to-End Perception Network. CoRR (2022)
Hung Phan, Ali Jannesari
Story Point Effort Estimation by Text Level Graph Neural Network. CoRR (2022)
Hung Phan, Arushi Sharma, Ali Jannesari
Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation. ASE Workshops (2021)
Son Nguyen, Hung Phan, Trinh Le, Tien N. Nguyen
Suggesting natural method names to check name consistencies. ICSE (2020)
Hung Phan
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations. CoRR (2019)
Thanh Van Nguyen, Ngoc M. Tran, Hung Phan, Trong Duc Nguyen, Linh H. Truong, Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen
Complementing global and local contexts in representing API descriptions to improve API retrieval tasks. ESEC/SIGSOFT FSE (2018)
Hung Phan, Hoan Anh Nguyen, Ngoc M. Tran, Linh H. Truong, Anh Tuan Nguyen, Tien N. Nguyen
Statistical learning of API fully qualified names in code snippets of online forums. ICSE (2018)
Hung Phan, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan
Statistical Learning for Inference between Implementations and Documentation. ICSE-NIER (2017)