Zhao Song
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Co-authors
- Yin Tat LeeMichael B. CohenDavid P. WoodruffYuanzhi LiZeyuan Allen-ZhuJan van den BrandAaron SidfordBojie Fu
- Topics
- Stochastic Gradient Optimization Techniques (15 papers)Sparse and Compressive Sensing Techniques (14 papers)Complexity and Algorithms in Graphs (14 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhao Song
62 papers receiving 676 citations
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 314
- Computational Theory and Mathematics 196
- Computer Networks and Communications 151
- Computer Vision and Pattern Recognition 104
- Computational Mechanics 83
Countries citing papers authored by Zhao Song
This map shows the geographic impact of Zhao 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 Zhao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao Song more than expected).
Fields of papers citing papers by Zhao Song
This network shows the impact of papers produced by Zhao 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 Zhao Song. The network helps show where Zhao Song may publish in the future.
Co-authorship network of co-authors of Zhao Song
This figure shows the co-authorship network connecting the top 25 collaborators of Zhao Song. A scholar is included among the top collaborators of Zhao Song 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 Zhao Song. Zhao Song 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 | 28 | |
| 5 | MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training | 5 |
| 6 | 1 | |
| 7 | Sketching Transformed Matrices with Applications to Natural Language Processing. | 1 |
| 8 | Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality | 1 |
| 9 | On the Convergence Rate of Training Recurrent Neural Networks | 13 |
| 10 | The Limitations of Adversarial Training and the Blind-Spot Attack | 11 |
| 11 | Provable Non-linear Inductive Matrix Completion | 4 |
| 12 | Non-Convex Matrix Completion and Related Problems via Strong Duality | 3 |
| 13 | 16 | |
| 14 | A Convergence Theory for Deep Learning via Over-Parameterization | 31 |
| 15 | Learning long term dependencies via Fourier recurrent units | 4 |
| 16 | Recovery Guarantees for One-hidden-layer Neural Networks | 16 |
| 17 | Sublinear time orthogonal tensor decomposition | 10 |
| 18 | 16 | |
| 19 | 6 | |
| 20 | 2 |
About Zhao Song
Zhao Song is a scholar working on Computational Mathematics, Computer Graphics and Computer-Aided Design and Numerical Analysis, having authored 67 papers that have together received 698 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (15 papers), Sparse and Compressive Sensing Techniques (14 papers) and Complexity and Algorithms in Graphs (14 papers). The work is most often cited by research in Computational Mathematics (23 citations), Computational Theory and Mathematics (196 citations) and Numerical Analysis (62 citations). Zhao Song has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yin Tat Lee, Michael B. Cohen, David P. Woodruff, Yuanzhi Li, Zeyuan Allen-Zhu, Jan van den Brand, Aaron Sidford, Bojie Fu, Yanxu Liu and András Gilyén. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Information Theory and Journal of the ACM.
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.