Hung Phan

Orcid: 0000-0001-7464-1597

According to our database1, Hung Phan authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Synergy of machine learning and density functional theory calculations for predicting experimental Lewis base affinity and Lewis polybase binding atoms.
J. Comput. Chem., July, 2024

PermitQA: A Benchmark for Retrieval Augmented Generation in Wind Siting and Permitting domain.
CoRR, 2024

RAG vs. Long Context: Examining Frontier Large Language Models for Environmental Review Document Comprehension.
CoRR, 2024

The Landscape and Challenges of HPC Research and LLMs.
CoRR, 2024

Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Leveraging Statistical Machine Translation for Code Search.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Integrating Information from Natural Language Parse Tree to Code Generation.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
HybridNets: End-to-End Perception Network.
CoRR, 2022

Story Point Effort Estimation by Text Level Graph Neural Network.
CoRR, 2022

Story Point Level Classification by Text Level Graph Neural Network.
Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022

Heterogeneous Graph Neural Networks for Software Effort Estimation.
Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022

2021
Generating Context-Aware API Calls from Natural Language Description Using Neural Embeddings and Machine Translation.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020
Suggesting natural method names to check name consistencies.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations.
CoRR, 2019

2018
Complementing global and local contexts in representing API descriptions to improve API retrieval tasks.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Statistical learning of API fully qualified names in code snippets of online forums.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
Statistical Learning for Inference between Implementations and Documentation.
Proceedings of the 39th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Technologies Results Track, 2017


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