Le Song
Impact in
-
- Face recognition and analysis
- Face and Expression Recognition
- Video Surveillance and Tracking Methods
- Signal Processing top 0.5%
- Biometric Identification and Security
Papers in
-
- Topic Modeling 12
- Gaussian Processes and Bayesian Inference 12
- Neural Networks and Applications 11
- Advanced Graph Neural Networks 10
- Domain Adaptation and Few-Shot Learning 9
- Machine Learning and Data Classification 9
-
- Advanced Neural Network Applications 13
- Face and Expression Recognition 8
- Co-authors
- Zhiding Yu (6 shared papers)Weiyang Liu (8 shared papers)Yandong Wen (1 shared paper)Ming Li (1 shared paper)Bhiksha Raj (1 shared paper)Arthur Gretton (12 shared papers)Alex Smola (11 shared papers)Kenji Fukumizu (5 shared papers)
- Journals
- Journal of Machine Learning Research (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)Journal of Geodesy (1 paper)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Le Song
93 papers receiving 5.4k citations
Le Song's Hit Papers
Peers
Comparison fields: 5 of 169
- Computer Vision and Pattern Recognition 2.3k
- Signal Processing 989
- Artificial Intelligence 2.8k
- Computational Mathematics 29
- Statistics and Probability 297
Countries citing papers authored by Le Song
This map shows the geographic impact of Le Song'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 Le Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Song more than expected).
Fields of papers citing papers by Le Song
This network shows the impact of papers produced by Le Song. 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 Le Song. The network helps show where Le Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Song, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SphereFace: Deep Hypersphere Embedding for Face Recognition Hit paper breakdown → | 2017 | 1788 |
| 2 | GRAM Hit paper breakdown → | 2017 | 403 |
| 3 | A Kernel Statistical Test of Independence | 2007 | 320 |
| 4 | 2018 | 267 | |
| 5 | 2017 | 259 | |
| 6 | 2007 | 233 | |
| 7 | 2019 | 186 | |
| 8 | 2009 | 154 | |
| 9 | 2015 | 150 | |
| 10 | 2016 | 149 | |
| 11 | 2013 | 106 | |
| 12 | 2015 | 104 | |
| 13 | 2014 | 79 | |
| 14 | 2015 | 75 | |
| 15 | 2007 | 73 | |
| 16 | Kernel Bayes' rule: Bayesian inference with positive definite kernels | 2013 | 71 |
| 17 | 2009 | 65 | |
| 18 | Learning Steady-States of Iterative Algorithms over Graphs | 2018 | 60 |
| 19 | Stochastic Training of Graph Convolutional Networks with Variance Reduction | 2018 | 57 |
| 20 | Colored Maximum Variance Unfolding | 2007 | 56 |
About Le Song
Le Song is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Statistical and Nonlinear Physics, having authored 94 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (13 papers), Topic Modeling (12 papers), Gaussian Processes and Bayesian Inference (12 papers), Neural Networks and Applications (11 papers), Advanced Graph Neural Networks (10 papers), Domain Adaptation and Few-Shot Learning (9 papers), Machine Learning and Data Classification (9 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Signal Processing (989 citations), Artificial Intelligence (2.8k citations), Computational Mathematics (29 citations) and Statistics and Probability (297 citations). Le Song has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Zhiding Yu, Weiyang Liu, Yandong Wen, Ming Li, Bhiksha Raj, Arthur Gretton, Alex Smola, Kenji Fukumizu, Hanjun Dai and Alexander J. Smola. Their work appears in journals such as Journal of Machine Learning Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Geodesy, Statistical Analysis and Data Mining The ASA Data Science Journal and IEEE Transactions on Parallel and Distributed Systems.
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.