Trung Le
Impact in
- Software top 2%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Signal Processing top 5%
- Advanced Malware Detection Techniques
Papers in
-
- Domain Adaptation and Few-Shot Learning 17
- Anomaly Detection Techniques and Applications 13
- Machine Learning and ELM 9
- Machine Learning and Data Classification 6
-
- Face and Expression Recognition 12
- Co-authors
- Dinh Phung (44 shared papers)Tu Dinh Nguyen (16 shared papers)Van Nguyen (11 shared papers)Chakkrit Tantithamthavorn (7 shared papers)Michael C. Fu (6 shared papers)Quan Hung Tran (7 shared papers)Dat Tran (13 shared papers)Vu Nguyen (8 shared papers)
- Journals
- ACM Transactions on Software Engineering and Methodology (2 papers)iScience (1 paper)Neural Computing and Applications (1 paper)IEEE Access (1 paper)Machine Learning (1 paper)
- Partner nations
- AustraliaUnited StatesVietnam
In The Last Decade
Trung Le
69 papers receiving 799 citations
Trung Le's Hit Papers
Peers
Comparison fields: 5 of 76
- Software 176
- Signal Processing 172
- Artificial Intelligence 431
- Computer Vision and Pattern Recognition 238
- Information Systems 253
Countries citing papers authored by Trung Le
This map shows the geographic impact of Trung Le'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 Trung Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trung Le more than expected).
Fields of papers citing papers by Trung Le
This network shows the impact of papers produced by Trung Le. 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 Trung Le. The network helps show where Trung Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Trung Le, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | VulRepair: a T5-based automated software vulnerability repair Hit paper breakdown → | 2022 | 107 |
| 2 | MGAN: Training Generative Adversarial Nets with Multiple Generators | 2018 | 87 |
| 3 | 2019 | 67 | |
| 4 | 2022 | 50 | |
| 5 | 2023 | 39 | |
| 6 | 2021 | 32 | |
| 7 | 2023 | 24 | |
| 8 | 2017 | 24 | |
| 9 | 2023 | 22 | |
| 10 | 2019 | 21 | |
| 11 | 2024 | 18 | |
| 12 | 2002 | 17 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2010 | 16 | |
| 16 | 2017 | 15 | |
| 17 | Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection | 2019 | 15 |
| 18 | Nonparametric budgeted stochastic gradient descent | 2016 | 14 |
| 19 | 2021 | 13 | |
| 20 | Budgeted semi-supervised support vector machine | 2016 | 11 |
About Trung Le
Trung Le is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Software, having authored 74 papers that have together received 820 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (17 papers), Anomaly Detection Techniques and Applications (13 papers), Face and Expression Recognition (12 papers), Software Engineering Research (10 papers), Machine Learning and ELM (9 papers), Advanced Malware Detection Techniques (9 papers), Machine Learning and Data Classification (6 papers) and Software Reliability and Analysis Research (6 papers). The work is most often cited by research in Software (176 citations), Signal Processing (172 citations), Artificial Intelligence (431 citations), Computer Vision and Pattern Recognition (238 citations) and Information Systems (253 citations). Trung Le has collaborated with scholars based in Australia, United States and Vietnam. Frequent co-authors include Dinh Phung, Tu Dinh Nguyen, Van Nguyen, Chakkrit Tantithamthavorn, Michael C. Fu, Quan Hung Tran, Dat Tran, Vu Nguyen, Wei Luo and Dharmendra Sharma. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, iScience, Neural Computing and Applications, IEEE Access and Machine Learning.
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.