Xiaohua Zhai
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 10%
- Signal Processing top 5%
- Media Technology top 5%
- Co-authors
- Lucas BeyerAlexander KolesnikovNeil HoulsbyYuxin PengJianguo XiaoBasil MustafaА. И. КолесниковMario Lučić
- Topics
- Domain Adaptation and Few-Shot Learning (10 papers)Advanced Neural Network Applications (8 papers)Multimodal Machine Learning Applications (8 papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyMultimedia SystemsChina CDC Weekly
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaohua Zhai
25 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 1.0k
- Radiology, Nuclear Medicine and Imaging 132
- Signal Processing 113
- Media Technology 111
Countries citing papers authored by Xiaohua Zhai
This map shows the geographic impact of Xiaohua Zhai'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 Xiaohua Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Zhai more than expected).
Fields of papers citing papers by Xiaohua Zhai
This network shows the impact of papers produced by Xiaohua Zhai. 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 Xiaohua Zhai. The network helps show where Xiaohua Zhai may publish in the future.
Co-authorship network of co-authors of Xiaohua Zhai
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Zhai. A scholar is included among the top collaborators of Xiaohua Zhai 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 Xiaohua Zhai. Xiaohua Zhai 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 | Sigmoid Loss for Language Image Pre-Trainingbreakdown → | 173 |
| 3 | 43 | |
| 4 | 123 | |
| 5 | LiT: Zero-Shot Transfer with Locked-image text Tuningbreakdown → | 207 |
| 6 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | 143 |
| 7 | A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches | 2 |
| 8 | 1 | |
| 9 | Large Scale Learning of General Visual Representations for Transfer. | 26 |
| 10 | High-Fidelity Image Generation With Fewer Labels | 16 |
| 11 | The Visual Task Adaptation Benchmark | 22 |
| 12 | 182 | |
| 13 | Revisiting Self-Supervised Visual Representation Learningbreakdown → | 336 |
| 14 | 86 | |
| 15 | 198 | |
| 16 | 5 | |
| 17 | 30 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 1 |
About Xiaohua Zhai
Xiaohua Zhai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (10 papers), Advanced Neural Network Applications (8 papers) and Multimodal Machine Learning Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (1.0k citations) and Media Technology (111 citations). Xiaohua Zhai has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Lucas Beyer, Alexander Kolesnikov, Neil Houlsby, Yuxin Peng, Jianguo Xiao, Basil Mustafa, А. И. Колесников, Mario Lučić, Marvin Ritter and Ting Chen. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Multimedia Systems and China CDC Weekly.
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.