Difan Zou
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Ocean Engineering top 10%
- Aerospace Engineering
- Topics
- Optical Wireless Communication Technologies (16 papers)Advanced Photonic Communication Systems (6 papers)Stochastic Gradient Optimization Techniques (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Difan Zou
34 papers receiving 628 citations
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 361
- Artificial Intelligence 290
- Computer Vision and Pattern Recognition 115
- Ocean Engineering 86
- Aerospace Engineering 78
Countries citing papers authored by Difan Zou
This map shows the geographic impact of Difan Zou'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 Difan Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Difan Zou more than expected).
Fields of papers citing papers by Difan Zou
This network shows the impact of papers produced by Difan Zou. 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 Difan Zou. The network helps show where Difan Zou may publish in the future.
Co-authorship network of co-authors of Difan Zou
This figure shows the co-authorship network connecting the top 25 collaborators of Difan Zou. A scholar is included among the top collaborators of Difan Zou 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 Difan Zou. Difan Zou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | The Benefits of Implicit Regularization from SGD in Least Squares Problems | 1 |
| 8 | Improving Adversarial Robustness Requires Revisiting Misclassified Examples | 153 |
| 9 | 9 | |
| 10 | 121 | |
| 11 | Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction | 2 |
| 12 | An Improved Analysis of Training Over-parameterized Deep Neural Networks | 11 |
| 13 | Subsampled Stochastic Variance-Reduced Gradient Langevin Dynamics. | 4 |
| 14 | 32 | |
| 15 | 17 | |
| 16 | 23 | |
| 17 | 6 | |
| 18 | 46 | |
| 19 | 33 | |
| 20 | 9 |
About Difan Zou
Difan Zou is a scholar working on Instrumentation, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 660 indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (16 papers), Advanced Photonic Communication Systems (6 papers) and Stochastic Gradient Optimization Techniques (6 papers). The work is most often cited by research in Instrumentation (39 citations), Artificial Intelligence (290 citations) and Electrical and Electronic Engineering (361 citations). Difan Zou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhengyuan Xu, Quanquan Gu, Chen Gong, Yuan Cao, Dongruo Zhou, Jinfeng Yi, James Bailey, Yisen Wang, Xingjun Ma and Weihao Liu. Their work appears in journals such as IEEE Access, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.
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.