Yunwen Lei
- Artificial Intelligence top 5%
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Computational Theory and Mathematics
- Topics
- Sparse and Compressive Sensing Techniques (21 papers)Stochastic Gradient Optimization Techniques (14 papers)Machine Learning and Algorithms (11 papers)
- Journals
- IEEE Transactions on Information TheoryInformation SciencesIEEE Transactions on Industrial Informatics
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Yunwen Lei
47 papers receiving 347 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 242
- Computational Mechanics 111
- Computer Vision and Pattern Recognition 97
- Control and Systems Engineering 33
- Computational Theory and Mathematics 30
Countries citing papers authored by Yunwen Lei
This map shows the geographic impact of Yunwen Lei'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 Yunwen Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunwen Lei more than expected).
Fields of papers citing papers by Yunwen Lei
This network shows the impact of papers produced by Yunwen Lei. 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 Yunwen Lei. The network helps show where Yunwen Lei may publish in the future.
Co-authorship network of co-authors of Yunwen Lei
This figure shows the co-authorship network connecting the top 25 collaborators of Yunwen Lei. A scholar is included among the top collaborators of Yunwen Lei 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 Yunwen Lei. Yunwen Lei 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 | 8 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions | 10 |
| 8 | Fine-grained Generalization Analysis of Inductive Matrix Completion | 4 |
| 9 | Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss | 3 |
| 10 | Sharper Generalization Bounds for Pairwise Learning. | 9 |
| 11 | Fine-Grained analysis of stability and generalization for SGD | 1 |
| 12 | 57 | |
| 13 | 27 | |
| 14 | Optimal Stochastic and Online Learning with Individual Iterates | 2 |
| 15 | Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping | 11 |
| 16 | Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning | 10 |
| 17 | Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities | 6 |
| 18 | Convergence of Unregularized Online Learning Algorithms | 6 |
| 19 | 10 | |
| 20 | Generalization Error Bounds for Extreme Multi-class Classification. | 1 |
About Yunwen Lei
Yunwen Lei is a scholar working on Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 355 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (21 papers), Stochastic Gradient Optimization Techniques (14 papers) and Machine Learning and Algorithms (11 papers). The work is most often cited by research in Artificial Intelligence (242 citations), Computational Mechanics (111 citations) and Computer Vision and Pattern Recognition (97 citations). Yunwen Lei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ding‐Xuan Zhou, Ke Tang, Marius Kloft, Ting Hu, Lixin Ding, Ürün Doǧan, Yiming Ying, Wensheng Zhang, Alexander Binder and Shao-Bo Lin. Their work appears in journals such as IEEE Transactions on Information Theory, Information Sciences and IEEE Transactions on Industrial Informatics.
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.