Tuo Zhao
About
In The Last Decade
Tuo Zhao
47 papers receiving 449 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 176
- Computational Mechanics 143
- Computer Vision and Pattern Recognition 115
- Statistics and Probability 77
- Signal Processing 58
Countries citing papers authored by Tuo Zhao
This map shows the geographic impact of Tuo Zhao'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 Tuo Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuo Zhao more than expected).
Fields of papers citing papers by Tuo Zhao
This network shows the impact of papers produced by Tuo Zhao. 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 Tuo Zhao. The network helps show where Tuo Zhao may publish in the future.
Co-authorship network of co-authors of Tuo Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Tuo Zhao. A scholar is included among the top collaborators of Tuo Zhao 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 Tuo Zhao. Tuo Zhao 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 | 13 | |
| 4 | Learning to Defense by Learning to Attack | 4 |
| 5 | 3 | |
| 6 | Implicit Bias of Gradient Descent based Adversarial Training on Separable Data | 4 |
| 7 | Towards Understanding Hierarchical Learning: Benefits of Neural Representations | 1 |
| 8 | On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition | 3 |
| 9 | On Computation and Generalization of Generative Adversarial Networks under Spectrum Control | 6 |
| 10 | The Physical Systems Behind Optimization Algorithms | 2 |
| 11 | Provable Gaussian Embedding with One Observation | 2 |
| 12 | Parametric Simplex Method for Sparse Learning | 5 |
| 13 | Online partial least square optimization: dropping convexity for better efficiency and scalability | 2 |
| 14 | Dynamic Partition of Complex Networks | 1 |
| 15 | Deep Hyperspherical Learning | 21 |
| 16 | NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization | 14 |
| 17 | Sparse Inverse Covariance Estimation with Calibration | 2 |
| 18 | 47 | |
| 19 | Sparse Additive Machine | 16 |
| 20 | Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation | 6 |
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.