Hung Lê
Impact in
- Information Systems top 5%
- Software Engineering Research
- Recommender Systems and Techniques
- Software top 10%
- Software Testing and Debugging Techniques
Papers in
-
- Topic Modeling 4
- Reinforcement Learning in Robotics 3
- Domain Adaptation and Few-Shot Learning 3
- Adversarial Robustness in Machine Learning 2
-
- Handwritten Text Recognition Techniques 2
- Co-authors
- Steven C. H. Hoi (2 shared papers)Junnan Li (1 shared paper)Nghi Bui (1 shared paper)Akhilesh Deepak Gotmare (1 shared paper)Yue Wang (1 shared paper)Svetha Venkatesh (12 shared papers)Truyen Tran (8 shared papers)Jérôme Morio (1 shared paper)
- Journals
- International Journal of Impact Engineering (2 papers)Artificial Intelligence (1 paper)Knowledge-Based Systems (1 paper)Applied Energy (1 paper)Lecture notes in computer science (3 papers)
- Partner nations
- AustraliaUnited StatesVietnam
In The Last Decade
Hung Lê
19 papers receiving 448 citations
Hung Lê's Hit Papers
Peers
Comparison fields: 5 of 42
- Information Systems 216
- Software 32
- Artificial Intelligence 165
- Automotive Engineering 24
- Computer Science Applications 5
Countries citing papers authored by Hung Lê
This map shows the geographic impact of Hung Lê's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hung Lê with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Lê more than expected).
Fields of papers citing papers by Hung Lê
This network shows the impact of papers produced by Hung Lê. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hung Lê. The network helps show where Hung Lê may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung Lê, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CodeT5+: Open Code Large Language Models for Code Understanding and Generation Hit paper breakdown → | 2023 | 255 |
| 2 | 2018 | 74 | |
| 3 | 2025 | 32 | |
| 4 | 2021 | 17 | |
| 5 | 2023 | 16 | |
| 6 | Meta-Learning with Domain Adaptation for Few-Shot Learning under Domain Shift | 2018 | 14 |
| 7 | 2021 | 8 | |
| 8 | 2018 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2025 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 0 |
About Hung Lê
Hung Lê is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Safety Research, Information Systems and Aerospace Engineering, having authored 22 papers that have together received 455 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Reinforcement Learning in Robotics (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Adversarial Robustness in Machine Learning (2 papers), Ethics and Social Impacts of AI (2 papers), Handwritten Text Recognition Techniques (2 papers), High-Velocity Impact and Material Behavior (2 papers) and Space Satellite Systems and Control (2 papers). The work is most often cited by research in Information Systems (216 citations), Software (32 citations), Artificial Intelligence (165 citations), Automotive Engineering (24 citations) and Computer Science Applications (5 citations). Hung Lê has collaborated with scholars based in Australia, United States and Vietnam. Frequent co-authors include Steven C. H. Hoi, Junnan Li, Nghi Bui, Akhilesh Deepak Gotmare, Yue Wang, Svetha Venkatesh, Truyen Tran, Jérôme Morio, Khanh T.P. Nguyen and Kamal Medjaher. Their work appears in journals such as International Journal of Impact Engineering, Artificial Intelligence, Knowledge-Based Systems, Applied Energy and Lecture notes in computer science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.