Miao Xu
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Topics
- Text and Document Classification Technologies (11 papers)Machine Learning and Algorithms (10 papers)Machine Learning and Data Classification (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Computer Vision
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Miao Xu
52 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 905
- Computer Vision and Pattern Recognition 550
- Signal Processing 108
- Information Systems 93
- Computational Theory and Mathematics 74
Countries citing papers authored by Miao Xu
This map shows the geographic impact of Miao Xu'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 Miao Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Xu more than expected).
Fields of papers citing papers by Miao Xu
This network shows the impact of papers produced by Miao Xu. 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 Miao Xu. The network helps show where Miao Xu may publish in the future.
Co-authorship network of co-authors of Miao Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Miao Xu. A scholar is included among the top collaborators of Miao Xu 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 Miao Xu. Miao Xu 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 | 5 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 23 | |
| 10 | 9 | |
| 11 | Trading personalization for accuracy: Data debugging in collaborative filtering | 4 |
| 12 | Provably Consistent Partial-Label Learning | 3 |
| 13 | 22 | |
| 14 | Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels | 8 |
| 15 | Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labelsbreakdown → | 664 |
| 16 | Speedup Matrix Completion with Side Information: Application to Multi-Label Learning | 148 |
| 17 | 24 | |
| 18 | 7 | |
| 19 | Large margin Boltzmann machines | 3 |
| 20 | GENERATING NEW STYLES OF CHINESE STROKES BASED ON STATISTICAL MODEL | 0 |
About Miao Xu
Miao Xu is a scholar working on Artificial Intelligence, Signal Processing and Health Informatics, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (11 papers), Machine Learning and Algorithms (10 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Artificial Intelligence (905 citations), Computer Vision and Pattern Recognition (550 citations) and Computational Mathematics (9 citations). Miao Xu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Masashi Sugiyama, Gang Niu, Bo Han, Ivor W. Tsang, Xingrui Yu, Zhi‐Hua Zhou, Quanming Yao, Weihua Hu, Rong Jin and Yiming Fang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.
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.