Zhize Li
Impact in
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- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
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- Advanced Bandit Algorithms Research
- Auction Theory and Applications
Papers in
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- Stochastic Gradient Optimization Techniques 8
- Privacy-Preserving Technologies in Data 3
- Machine Learning and Algorithms 2
- Domain Adaptation and Few-Shot Learning 2
- Neural Networks and Applications 2
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- Sparse and Compressive Sensing Techniques 6
- Co-authors
- Jian Li (4 shared papers)Yu Shi (1 shared paper)Lulu Liu (2 shared papers)Jian Li (1 shared paper)Yifei Liu (1 shared paper)Peter Richtárik (3 shared papers)Yuejie Chi (1 shared paper)Yufei Tao (1 shared paper)
- Journals
- Information and Computation (1 paper)New Journal of Chemistry (1 paper)RSC Advances (1 paper)IEEE Transactions on Signal Processing (1 paper)Machine Learning (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhize Li
17 papers receiving 118 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 61
- Management Science and Operations Research 16
- Computer Networks and Communications 21
- Computational Mechanics 16
- Media Technology 5
Countries citing papers authored by Zhize Li
This map shows the geographic impact of Zhize Li'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 Zhize Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhize Li more than expected).
Fields of papers citing papers by Zhize Li
This network shows the impact of papers produced by Zhize Li. 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 Zhize Li. The network helps show where Zhize Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhize Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 32 | |
| 2 | 2021 | 15 | |
| 3 | On Top-k selection in multi-armed bandits and hidden bipartite graphs | 2015 | 13 |
| 4 | A simple proximal stochastic gradient method for nonsmooth nonconvex optimization | 2018 | 10 |
| 5 | 2022 | 10 | |
| 6 | Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization | 2020 | 8 |
| 7 | 2019 | 7 | |
| 8 | 2023 | 5 | |
| 9 | PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization | 2021 | 4 |
| 10 | A unified variance-reduced accelerated gradient method for convex optimization | 2019 | 3 |
| 11 | 2019 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2021 | 2 | |
| 16 | Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization | 2019 | 1 |
| 17 | 2025 | 1 |
About Zhize Li
Zhize Li is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Networks and Communications, Materials Chemistry and Organic Chemistry, having authored 17 papers that have together received 122 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (6 papers), Privacy-Preserving Technologies in Data (3 papers), Machine Learning and Algorithms (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Luminescence and Fluorescent Materials (2 papers), Neural Networks and Applications (2 papers) and Supramolecular Chemistry and Complexes (1 paper). The work is most often cited by research in Artificial Intelligence (61 citations), Management Science and Operations Research (16 citations), Computer Networks and Communications (21 citations), Computational Mechanics (16 citations) and Media Technology (5 citations). Zhize Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jian Li, Yu Shi, Lulu Liu, Jian Li, Yifei Liu, Peter Richtárik, Yuejie Chi, Yufei Tao, Dmitry Kovalev and Yi Zhou. Their work appears in journals such as Information and Computation, New Journal of Chemistry, RSC Advances, IEEE Transactions on Signal Processing and Machine Learning.
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.