Zhize Li

591 total citations
17 papers, 117 citations indexed

About

Zhize Li is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Networks and Communications. According to data from OpenAlex, Zhize Li has authored 17 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computational Mechanics and 5 papers in Computer Networks and Communications. Recurrent topics in Zhize Li's work include Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Privacy-Preserving Technologies in Data (3 papers). Zhize Li is often cited by papers focused on Stochastic Gradient Optimization Techniques (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Privacy-Preserving Technologies in Data (3 papers). Zhize Li collaborates with scholars based in China, United States and Singapore. Zhize Li's co-authors include Jian Li, Yu Shi, Lulu Liu, Yifei Liu, Jian Li, Yuejie Chi, Yufei Tao, Peter Richtárik, Dmitry Kovalev and Tianyi Zhang and has published in prestigious journals such as IEEE Transactions on Signal Processing, RSC Advances and Machine Learning.

In The Last Decade

Zhize Li

17 papers receiving 113 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zhize Li China	7	60	21	18	16	16	17	117
Samuel Horváth Saudi Arabia	5	30 0.5×	7 0.3×	8 0.4×	26 1.6×	2 0.1×	9	70
Xiaoyang Qu China	10	119 2.0×	10 0.5×	31 1.7×	2 0.1×	5 0.3×	53	260
Jan Pfeifer United States	4	44 0.7×	6 0.3×	4 0.2×	6 0.4×	7 0.4×	6	69
Ashok Kumar Yadav India	8	23 0.4×	61 2.9×	28 1.6×	4 0.3×	8 0.5×	29	190
Trieu H. Trinh United States	3	78 1.3×	3 0.1×	8 0.4×	5 0.3×	5 0.3×	4	131
Abhishek Bajpai India	8	30 0.5×	36 1.7×	21 1.2×	1 0.1×	6 0.4×	46	199
Xingyuan Sun China	7	17 0.3×	7 0.3×	4 0.2×	32 2.0×	2 0.1×	17	111
Deqiang Jiang China	9	87 1.4×	6 0.3×	16 0.9×	3 0.2×	11 0.7×	23	235
Zhao You China	7	203 3.4×	12 0.6×	19 1.1×	4 0.3×	1 0.1×	13	280

Countries citing papers authored by Zhize Li

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Zhize Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhize Li. A scholar is included among the top collaborators of Zhize Li 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 Zhize Li. Zhize Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Li, Zhize, et al.. (2025). The Effectiveness of Local Updates for Decentralized Learning Under Data Heterogeneity. IEEE Transactions on Signal Processing. 73. 751–765. 2 indexed citations

Chen, Pengwen, et al.. (2025). EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity. Proceedings of the AAAI Conference on Artificial Intelligence. 39(15). 15489–15497. 1 indexed citations

Zhao, Haoyu, et al.. (2024). Faster Rates for Compressed Federated Learning with Client-Variance Reduction. SIAM Journal on Mathematics of Data Science. 6(1). 154–175. 1 indexed citations

Li, Zhize, et al.. (2023). Heterogeneous sensing for target tracking: architecture, techniques, applications and challenges. Measurement Science and Technology. 34(7). 72002–72002. 5 indexed citations

Li, Zhize, et al.. (2022). DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization. SIAM Journal on Mathematics of Data Science. 4(3). 1031–1051. 10 indexed citations

Li, Zhize, et al.. (2021). PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 6286–6295. 4 indexed citations

Li, Zhize, Lulu Liu, & Yifei Liu. (2021). An AIE-active dual fluorescent switch with negative photochromism for information display and encryption. New Journal of Chemistry. 45(22). 9872–9881. 15 indexed citations

Li, Zhize, Jian Li, & Hongwei Huo. (2021). Optimal in-place suffix sorting. Information and Computation. 285. 104818–104818. 2 indexed citations

Li, Zhize, et al.. (2020). Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 8 indexed citations

10.

Lan, Guanghui, Zhize Li, & Yi Zhou. (2019). A unified variance-reduced accelerated gradient method for convex optimization. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 32. 10462–10472. 3 indexed citations

11.

Ge, Rong, et al.. (2019). Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1394–1448. 1 indexed citations

12.

Shi, Yu, Jian Li, & Zhize Li. (2019). Gradient Boosting with Piece-Wise Linear Regression Trees. 3432–3438. 30 indexed citations

13.

Li, Zhize, et al.. (2019). Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference. Machine Learning. 108(8-9). 1701–1727. 7 indexed citations

14.

Liu, Lulu, Zhize Li, Yifei Liu, & Sean Xiao‐An Zhang. (2019). Recent advances in film-based fluorescence sensing. Scientia Sinica Chimica. 50(1). 39–69. 2 indexed citations

15.

Yu, Binhong, Danyang Liu, Jinyan Zhang, et al.. (2019). Emissions and the application of a series of twisted fluorophores with intramolecular weak hydrogen bonds. RSC Advances. 9(23). 13214–13219. 3 indexed citations

16.

Li, Zhize & Jian Li. (2018). A simple proximal stochastic gradient method for nonsmooth nonconvex optimization. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 31. 5569–5579. 10 indexed citations

17.

Li, Jian, et al.. (2015). On Top-k selection in multi-armed bandits and hidden bipartite graphs. Queensland's institutional digital repository (The University of Queensland). 28. 1036–1044. 13 indexed citations

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.

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