Zheng Qu
- Artificial Intelligence top 10%
- Computational Mechanics top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Mathematical Physics
- Co-authors
- Peter RichtárikJakub KonečnýStéphane GaubertOlivier FercoqTong ZhangZeyuan Allen-ZhuYuan YangMingju Zhang
- Topics
- Sparse and Compressive Sensing Techniques (9 papers)Stochastic Gradient Optimization Techniques (9 papers)Markov Chains and Monte Carlo Methods (5 papers)
- Journals
- Journal of Magnetism and Magnetic MaterialsMathematical ProgrammingSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- Hong KongUnited KingdomChina
In The Last Decade
Zheng Qu
19 papers receiving 219 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 135
- Computational Mechanics 88
- Electrical and Electronic Engineering 43
- Computer Networks and Communications 34
- Mathematical Physics 25
Countries citing papers authored by Zheng Qu
This map shows the geographic impact of Zheng Qu'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 Zheng Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Qu more than expected).
Fields of papers citing papers by Zheng Qu
This network shows the impact of papers produced by Zheng Qu. 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 Zheng Qu. The network helps show where Zheng Qu may publish in the future.
Co-authorship network of co-authors of Zheng Qu
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Qu. A scholar is included among the top collaborators of Zheng Qu 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 Zheng Qu. Zheng Qu 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 | 3 | |
| 4 | SAGA with Arbitrary Sampling | 3 |
| 5 | 22 | |
| 6 | 0 | |
| 7 | 55 | |
| 8 | 19 | |
| 9 | Even faster accelerated coordinate descent using non-uniform sampling | 20 |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 21 | |
| 13 | Quartz: randomized dual coordinate ascent with arbitrary sampling | 17 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 10 | |
| 18 | 14 | |
| 19 | S2CD: Semi-stochastic coordinate descent | 7 |
| 20 | 4 |
About Zheng Qu
Zheng Qu is a scholar working on Statistics and Probability, Computational Mechanics and Fluid Flow and Transfer Processes, having authored 25 papers that have together received 226 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (9 papers), Stochastic Gradient Optimization Techniques (9 papers) and Markov Chains and Monte Carlo Methods (5 papers). The work is most often cited by research in Computational Mechanics (88 citations), Artificial Intelligence (135 citations) and Numerical Analysis (22 citations). Zheng Qu has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Peter Richtárik, Jakub Konečný, Stéphane Gaubert, Olivier Fercoq, Tong Zhang, Zeyuan Allen-Zhu, Yuan Yang, Mingju Zhang, Nikhil Ravi and Varun Mittal. Their work appears in journals such as Journal of Magnetism and Magnetic Materials, Mathematical Programming and SAE technical papers on CD-ROM/SAE technical paper series.
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.