Kaiyi Ji
Impact in
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- Caching and Content Delivery
- Advanced Data Storage Technologies
- Distributed Control Multi-Agent Systems
- Opportunistic and Delay-Tolerant Networks
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- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
Papers in
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- Stochastic Gradient Optimization Techniques 9
- Machine Learning and ELM 4
- Domain Adaptation and Few-Shot Learning 3
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- Sparse and Compressive Sensing Techniques 10
- Co-authors
- Yingbin Liang (10 shared papers)Yi Zhou (8 shared papers)Jian Tan (7 shared papers)Vahid Tarokh (3 shared papers)Ness B. Shroff (4 shared papers)Yan Zhang (1 shared paper)Michael M. Zavlanos (2 shared papers)Zhe Wang (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (2 papers)IEEE Transactions on Information Theory (2 papers)Automatica (1 paper)IEEE Transactions on Automatic Control (1 paper)Polymer Bulletin (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Kaiyi Ji
27 papers receiving 172 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 74
- Artificial Intelligence 89
- Management Science and Operations Research 24
- Computational Mechanics 38
- Numerical Analysis 6
Countries citing papers authored by Kaiyi Ji
This map shows the geographic impact of Kaiyi Ji'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 Kaiyi Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiyi Ji more than expected).
Fields of papers citing papers by Kaiyi Ji
This network shows the impact of papers produced by Kaiyi Ji. 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 Kaiyi Ji. The network helps show where Kaiyi Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaiyi Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SpiderBoost and Momentum: Faster Variance Reduction Algorithms | 2019 | 25 |
| 2 | 2021 | 23 | |
| 3 | 2018 | 15 | |
| 4 | SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization. | 2018 | 13 |
| 5 | 2020 | 12 | |
| 6 | 2018 | 12 | |
| 7 | 2021 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2018 | 9 | |
| 10 | 2018 | 6 | |
| 11 | 2019 | 6 | |
| 12 | Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning | 2021 | 5 |
| 13 | Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms. | 2020 | 4 |
| 14 | 2020 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2025 | 2 | |
| 17 | Convergence of SGD in Learning ReLU Models with Separable Data. | 2018 | 2 |
| 18 | 2020 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2020 | 2 |
About Kaiyi Ji
Kaiyi Ji is a scholar working on Artificial Intelligence, Computational Mechanics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 30 papers that have together received 176 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Stochastic Gradient Optimization Techniques (9 papers), Advanced Data Storage Technologies (6 papers), Caching and Content Delivery (6 papers), Optimization and Search Problems (4 papers), Machine Learning and ELM (4 papers), Adsorption and biosorption for pollutant removal (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Networks and Communications (74 citations), Artificial Intelligence (89 citations), Management Science and Operations Research (24 citations), Computational Mechanics (38 citations) and Numerical Analysis (6 citations). Kaiyi Ji has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yingbin Liang, Yi Zhou, Jian Tan, Vahid Tarokh, Ness B. Shroff, Yan Zhang, Michael M. Zavlanos, Zhe Wang, Yi Zhou and Zhe Wang. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Information Theory, Automatica, IEEE Transactions on Automatic Control and Polymer Bulletin.
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.