Zhaosong Lu

3.6k total citations
69 papers, 2.0k citations indexed

About

Zhaosong Lu is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Zhaosong Lu has authored 69 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computational Mechanics, 34 papers in Numerical Analysis and 21 papers in Computational Theory and Mathematics. Recurrent topics in Zhaosong Lu's work include Sparse and Compressive Sensing Techniques (49 papers), Advanced Optimization Algorithms Research (34 papers) and Stochastic Gradient Optimization Techniques (15 papers). Zhaosong Lu is often cited by papers focused on Sparse and Compressive Sensing Techniques (49 papers), Advanced Optimization Algorithms Research (34 papers) and Stochastic Gradient Optimization Techniques (15 papers). Zhaosong Lu collaborates with scholars based in Canada, United States and China. Zhaosong Lu's co-authors include Renato D. C. Monteiro, Yong Zhang, Lin Xiao, Jieping Ye, Ming Yuan, Ali Ekici, Ting Kei Pong, Yanjing Li, Jeremy J. Michalek and Guanghui Lan and has published in prestigious journals such as Mathematics of Computation, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Neurocomputing.

In The Last Decade

Zhaosong Lu

66 papers receiving 1.9k citations

Peers

Zhaosong Lu

CM

AI

NA

CVPR

CTM

P. Tseng United States

Meisam Razaviyayn United States

Yangyang Xu United States

Peter Richtárik United Kingdom

Fengmin Xu China

Brendan O’Donoghue United States

Zhi-Quan Luo United States

Lin Xiao United States

Deren Han China

Vladimir Koltchinskii United States

P. Tseng United States

Zhaosong Lu

712 ×0.7

CM

592 ×1.2

AI

342 ×0.7

NA

576 ×1.5

CVPR

314 ×0.9

CTM

Citations per year, relative to Zhaosong Lu Zhaosong Lu (= 1×) peers P. Tseng

Countries citing papers authored by Zhaosong Lu

Since Specialization

Citations

This map shows the geographic impact of Zhaosong Lu'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 Zhaosong Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaosong Lu more than expected).

Fields of papers citing papers by Zhaosong Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhaosong Lu. 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 Zhaosong Lu. The network helps show where Zhaosong Lu may publish in the future.

Co-authorship network of co-authors of Zhaosong Lu

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

All Works

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20 of 20 papers shown

1.

Lu, Zhaosong, et al.. (2024). A first-order augmented Lagrangian method for constrained minimax optimization. Mathematical Programming. 213(1-2). 1063–1104.

2.

Lu, Zhaosong, et al.. (2024). First-Order Penalty Methods for Bilevel Optimization. SIAM Journal on Optimization. 34(2). 1937–1969. 2 indexed citations

3.

Lü, Jian, et al.. (2023). A new nonconvex low-rank tensor approximation method with applications to hyperspectral images denoising. Inverse Problems. 39(6). 65003–65003. 12 indexed citations

4.

Lu, Zhaosong, et al.. (2023). A Newton-CG Based Barrier Method for Finding a Second-Order Stationary Point of Nonconvex Conic Optimization with Complexity Guarantees. SIAM Journal on Optimization. 33(2). 1191–1222. 1 indexed citations

5.

Lu, Zhaosong, et al.. (2022). Penalty and Augmented Lagrangian Methods for Constrained DC Programming. Mathematics of Operations Research. 47(3). 2260–2285. 1 indexed citations

6.

Lü, Jian, et al.. (2019). ℓ 0 -minimization methods for image restoration problems based on wavelet frames. Inverse Problems. 35(6). 64001–64001. 14 indexed citations

7.

Lu, Zhaosong & Zirui Zhou. (2019). Nonmonotone Enhanced Proximal DC Algorithms for a Class of Structured Nonsmooth DC Programming. SIAM Journal on Optimization. 29(4). 2725–2752. 22 indexed citations

8.

Lü, Jian, et al.. (2018). A framelet algorithm for de-blurring images corrupted by multiplicative noise. Applied Mathematical Modelling. 62. 51–61. 14 indexed citations

9.

Xu, Fengmin, Zhaosong Lu, & Zongben Xu. (2015). An efficient optimization approach for a cardinality-constrained index tracking problem. Optimization methods & software. 31(2). 258–271. 34 indexed citations

10.

Wang, Zheng, Ming‐Jun Lai, Zhaosong Lu, Hasan Davulcu, & Jieping Ye. (2014). Rank-One Matrix Pursuit for Matrix Completion. International Conference on Machine Learning. 91–99. 36 indexed citations

11.

Chen, Xiaojun, Zhaosong Lu, & Ting Kei Pong. (2014). Exact Penalty Methods for Non-Lipschitz Optimization. arXiv (Cornell University). 1 indexed citations

12.

Lin, Qihang, Zhaosong Lu, & Lin Xiao. (2014). An Accelerated Proximal Coordinate Gradient Method. Neural Information Processing Systems. 27. 3059–3067. 22 indexed citations

13.

Lu, Zhaosong & Lin Xiao. (2014). On the complexity analysis of randomized block-coordinate descent methods. Mathematical Programming. 152(1-2). 615–642. 111 indexed citations

14.

Lu, Zhaosong. (2013). Iterative hard thresholding methods for $$l_0$$ l 0 regularized convex cone programming. Mathematical Programming. 147(1-2). 125–154. 62 indexed citations

15.

Lu, Zhaosong. (2013). Iterative reweighted minimization methods for $$l_p$$ l p regularized unconstrained nonlinear programming. Mathematical Programming. 147(1-2). 277–307. 93 indexed citations

16.

Lu, Zhaosong & Yong Zhang. (2011). An augmented Lagrangian approach for sparse principal component analysis. Mathematical Programming. 135(1-2). 149–193. 70 indexed citations

17.

Lu, Zhaosong & Ting Kei Pong. (2010). Interior Point Methods for Optimal Experimental Designs. arXiv (Cornell University). 1 indexed citations

18.

Lu, Zhaosong. (2008). Gradient based method for cone programming with application to large-scale compressed sensing. 4 indexed citations

19.

Lu, Zhaosong. (2008). A New Cone Programming Approach for Robust Portfolio Selection. 14 indexed citations

20.

Lu, Zhaosong, Arkadi Nemirovski, & Renato D. C. Monteiro. (2006). Large-scale semidefinite programming via a saddle point Mirror-Prox algorithm. Mathematical Programming. 109(2-3). 211–237. 19 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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