Trung Le
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Software top 2%
- Signal Processing top 5%
- Co-authors
- Dinh PhungTu Dinh NguyenVan NguyenChakkrit TantithamthavornMichael C. FuQuan Hung TranDat TranVu Nguyen
- Topics
- Domain Adaptation and Few-Shot Learning (17 papers)Anomaly Detection Techniques and Applications (13 papers)Face and Expression Recognition (12 papers)
- Journals
- IEEE AccessIEEE Transactions on Software EngineeringIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- AustraliaUnited StatesVietnam
In The Last Decade
Trung Le
69 papers receiving 799 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 431
- Information Systems 253
- Computer Vision and Pattern Recognition 238
- Software 176
- Signal Processing 172
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-authorship network of co-authors of Trung Le
This figure shows the co-authorship network connecting the top 25 collaborators of Trung Le. A scholar is included among the top collaborators of Trung Le based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Trung Le. Trung Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 24 | |
| 7 | MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning | 10 |
| 8 | LAMDA: Label Matching Deep Domain Adaptation | 7 |
| 9 | Parameterized Rate-Distortion Stochastic Encoder | 1 |
| 10 | 6 | |
| 11 | Clustering Induced Kernel Learning | 1 |
| 12 | MGAN: Training Generative Adversarial Nets with Multiple Generators | 87 |
| 13 | Theoretical Perspective of Deep Domain Adaptation. | 2 |
| 14 | Supervised Restricted Boltzmann Machines. | 3 |
| 15 | Multiple Kernel Learning with Data Augmentation | 8 |
| 16 | Budgeted semi-supervised support vector machine | 11 |
| 17 | Nonparametric budgeted stochastic gradient descent | 14 |
| 18 | 16 | |
| 19 | 17 | |
| 20 | 9 |
About Trung Le
Trung Le is a scholar working on Software, Artificial Intelligence and Computer Vision and Pattern Recognition, 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) and Face and Expression Recognition (12 papers). The work is most often cited by research in Software (176 citations), Signal Processing (172 citations) and Artificial Intelligence (431 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, Dharmendra Sharma and Wei Luo. Their work appears in journals such as IEEE Access, IEEE Transactions on Software Engineering and IEEE Transactions on Knowledge and Data Engineering.
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.