Kai Yu
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 0.5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Algorithms
- Text and Document Classification Technologies
Papers in
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- Bayesian Methods and Mixture Models 11
- Machine Learning and Algorithms 9
- Gaussian Processes and Bayesian Inference 8
- Domain Adaptation and Few-Shot Learning 6
- Topic Modeling 6
- Text and Document Classification Technologies 6
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- Recommender Systems and Techniques 11
- Co-authors
- Volker Tresp (24 shared papers)Yihong Gong (6 shared papers)Shipeng Yu (15 shared papers)Tong Zhang (1 shared paper)Anton Schwaighofer (4 shared papers)Shenghuo Zhu (6 shared papers)Hans‐Peter Kriegel (11 shared papers)Jinbo Bi (1 shared paper)
- Journals
- Pharmacogenomics (2 papers)Lecture notes in computer science (10 papers)Journal of Biomedical Informatics (1 paper)Knowledge and Information Systems (1 paper)IEEE Access (1 paper)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Kai Yu
57 papers receiving 3.5k citations
Kai Yu's Hit Papers
Peers
Comparison fields: 5 of 138
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 2.3k
- Computational Mathematics 28
- Statistical and Nonlinear Physics 383
- Information Systems 683
Countries citing papers authored by Kai Yu
This map shows the geographic impact of Kai Yu'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 Kai Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yu more than expected).
Fields of papers citing papers by Kai Yu
This network shows the impact of papers produced by Kai Yu. 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 Kai Yu. The network helps show where Kai Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai Yu, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nonlinear Learning using Local Coordinate Coding Hit paper breakdown → | 2009 | 569 |
| 2 | 2005 | 285 | |
| 3 | Communication Efficient Distributed Machine Learning with the Parameter Server | 2014 | 257 |
| 4 | 2006 | 248 | |
| 5 | 2007 | 205 | |
| 6 | 2005 | 200 | |
| 7 | 2003 | 175 | |
| 8 | 2007 | 153 | |
| 9 | 2009 | 135 | |
| 10 | Learning Gaussian Process Kernels via Hierarchical Bayes | 2004 | 131 |
| 11 | 2006 | 118 | |
| 12 | 2008 | 117 | |
| 13 | 2008 | 116 | |
| 14 | Infinite hidden relational models | 2006 | 101 |
| 15 | 2010 | 75 | |
| 16 | Soft Clustering on Graphs | 2005 | 72 |
| 17 | Deep Learning with Kernel Regularization for Visual Recognition | 2008 | 61 |
| 18 | 2003 | 60 | |
| 19 | 2007 | 58 | |
| 20 | 2004 | 43 |
About Kai Yu
Kai Yu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Molecular Biology, having authored 60 papers that have together received 3.7k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (11 papers), Recommender Systems and Techniques (11 papers), Machine Learning and Algorithms (9 papers), Gaussian Processes and Bayesian Inference (8 papers), Domain Adaptation and Few-Shot Learning (6 papers), Topic Modeling (6 papers), Complex Network Analysis Techniques (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (2.3k citations), Computational Mathematics (28 citations), Statistical and Nonlinear Physics (383 citations) and Information Systems (683 citations). Kai Yu has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Volker Tresp, Yihong Gong, Shipeng Yu, Tong Zhang, Anton Schwaighofer, Shenghuo Zhu, Hans‐Peter Kriegel, Jinbo Bi, Zhao Xu and Alex Smola. Their work appears in journals such as Pharmacogenomics, Lecture notes in computer science, Journal of Biomedical Informatics, Knowledge and Information Systems and IEEE Access.
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.