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Hung Phan
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2020 – today
- 2024
- [j1]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): 1552-1561 (2024) - [c12]Hung Phan, Ali Jannesari:
Leveraging Statistical Machine Translation for Code Search. EASE 2024: 191-200 - [c11]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: 17-18 - [i9]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 abs/2402.02018 (2024) - [i8]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 abs/2407.07321 (2024) - [i7]Rounak Meyur, Hung Phan, Sridevi Wagle, Jan Strube, Mahantesh Halappanavar, Sameera Horawalavithana, Anurag Acharya, Sai Munikoti:
PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain. CoRR abs/2408.11800 (2024) - 2023
- [c10]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: 2055-2064 - [c9]Hung Phan, Ali Jannesari:
Integrating Information from Natural Language Parse Tree to Code Generation. Tiny Papers @ ICLR 2023 - [c8]Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari:
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. MLSys 2023 - [i6]Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari:
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. CoRR abs/2305.05779 (2023) - [i5]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 abs/2308.04693 (2023) - 2022
- [c7]Hung Phan, Ali Jannesari:
Heterogeneous Graph Neural Networks for Software Effort Estimation. ESEM 2022: 103-113 - [c6]Hung Phan, Ali Jannesari:
Story Point Level Classification by Text Level Graph Neural Network. NLBSE 2022: 75-78 - [i4]Hung Phan, Ali Jannesari:
Story Point Effort Estimation by Text Level Graph Neural Network. CoRR abs/2203.03062 (2022) - [i3]Dat Vu, Bao Ngo, Hung Phan:
HybridNets: End-to-End Perception Network. CoRR abs/2203.09035 (2022) - [i2]Hung Phan, Ali Jannesari:
Heterogeneous Graph Neural Networks for Software Effort Estimation. CoRR abs/2206.11023 (2022) - 2021
- [c5]Hung Phan, Arushi Sharma, Ali Jannesari:
Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation. ASE Workshops 2021: 219-226 - 2020
- [c4]Son Nguyen, Hung Phan, Trinh Le, Tien N. Nguyen:
Suggesting natural method names to check name consistencies. ICSE 2020: 1372-1384
2010 – 2019
- 2019
- [i1]Hung Phan:
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations. CoRR abs/1909.03147 (2019) - 2018
- [c3]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: 632-642 - [c2]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: 551-562 - 2017
- [c1]Hung Phan, Hoan Anh Nguyen, Tien N. Nguyen, Hridesh Rajan:
Statistical Learning for Inference between Implementations and Documentation. ICSE-NIER 2017: 27-30
Coauthor Index
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