Haihao Lu

829 total citations
23 papers, 243 citations indexed

About

Haihao Lu is a scholar working on Computational Mechanics, Artificial Intelligence and Numerical Analysis. According to data from OpenAlex, Haihao Lu has authored 23 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 12 papers in Artificial Intelligence and 9 papers in Numerical Analysis. Recurrent topics in Haihao Lu's work include Sparse and Compressive Sensing Techniques (14 papers), Stochastic Gradient Optimization Techniques (10 papers) and Advanced Optimization Algorithms Research (9 papers). Haihao Lu is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Stochastic Gradient Optimization Techniques (10 papers) and Advanced Optimization Algorithms Research (9 papers). Haihao Lu collaborates with scholars based in United States, Singapore and Switzerland. Haihao Lu's co-authors include Robert M. Freund, Yurii Nesterov, Vahab Mirrokni, Santiago Balseiro, Rahul Mazumder, Miles Lubin, David Applegate, Oliver Hinder, David Cai and Douglas Zhou and has published in prestigious journals such as Operations Research, Marketing Science and Mathematical Programming.

In The Last Decade

Haihao Lu

21 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haihao Lu United States 7 118 85 80 53 48 23 243
Ying Cui United States 11 143 1.2× 43 0.5× 112 1.4× 114 2.2× 50 1.0× 27 297
Yair Carmon United States 7 114 1.0× 130 1.5× 61 0.8× 45 0.8× 14 0.3× 16 215
Olivier Fercoq France 7 130 1.1× 131 1.5× 55 0.7× 42 0.8× 23 0.5× 21 257
Aaron Sidford United States 8 52 0.4× 146 1.7× 18 0.2× 90 1.7× 29 0.6× 20 245
Tomer Koren Israel 9 42 0.4× 202 2.4× 24 0.3× 34 0.6× 167 3.5× 30 309
Adityanand Guntuboyina United States 10 93 0.8× 105 1.2× 15 0.2× 19 0.4× 25 0.5× 27 332
Issam A. R. Moghrabi Kuwait 10 47 0.4× 34 0.4× 195 2.4× 150 2.8× 3 0.1× 51 357
Ismail Mohd Malaysia 10 127 1.1× 68 0.8× 237 3.0× 133 2.5× 16 0.3× 55 387
Shu Lü United States 12 21 0.2× 27 0.3× 70 0.9× 116 2.2× 58 1.2× 38 352
T.-H. Shiau United States 6 30 0.3× 23 0.3× 156 1.9× 197 3.7× 47 1.0× 10 350

Countries citing papers authored by Haihao Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haihao Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihao Lu

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

All Works

20 of 20 papers shown
1.
Lu, Haihao, et al.. (2025). Optimizing Scalable Targeted Marketing Policies with Constraints. Marketing Science. 44(5). 1082–1103. 1 indexed citations
2.
Balseiro, Santiago, Haihao Lu, & Vahab Mirrokni. (2025). Regularized Online Allocation Problems: Fairness and Beyond. Manufacturing & Service Operations Management. 27(3). 720–735.
3.
Lu, Haihao, et al.. (2024). On the geometry and refined rate of primal–dual hybrid gradient for linear programming. Mathematical Programming. 1 indexed citations
4.
Applegate, David, et al.. (2024). Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming. SIAM Journal on Optimization. 34(1). 459–484. 2 indexed citations
5.
Lu, Haihao, et al.. (2023). Optimizing Scalable Targeted Marketing Policies with Constraints. SSRN Electronic Journal. 1 indexed citations
6.
Lu, Haihao, et al.. (2023). A J-symmetric quasi-newton method for minimax problems. Mathematical Programming. 204(1-2). 207–254. 1 indexed citations
7.
Lu, Haihao, et al.. (2022). The landscape of the proximal point method for nonconvex–nonconcave minimax optimization. Mathematical Programming. 201(1-2). 373–407. 5 indexed citations
8.
Wang, Haoyue, Haihao Lu, & Rahul Mazumder. (2022). Frank--Wolfe Methods with an Unbounded Feasible Region and Applications to Structured Learning. SIAM Journal on Optimization. 32(4). 2938–2968. 3 indexed citations
9.
Applegate, David, Oliver Hinder, Haihao Lu, & Miles Lubin. (2022). Faster first-order primal-dual methods for linear programming using restarts and sharpness. Mathematical Programming. 201(1-2). 133–184. 15 indexed citations
10.
11.
Kawaguchi, Kenji & Haihao Lu. (2020). Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization. International Conference on Artificial Intelligence and Statistics. 669–679. 1 indexed citations
12.
Lu, Haihao, et al.. (2020). The Landscape of Nonconvex-Nonconcave Minimax Optimization.. arXiv (Cornell University). 1 indexed citations
13.
Huchette, Joey, Haihao Lu, Hossein Esfandiari, & Vahab Mirrokni. (2020). Contextual Reserve Price Optimization in Auctions.. arXiv (Cornell University). 1 indexed citations
14.
Lu, Haihao, Sai Praneeth Karimireddy, Natalia Ponomareva, & Vahab Mirrokni. (2020). Accelerating Gradient Boosting Machine. International Conference on Artificial Intelligence and Statistics. 516–526. 4 indexed citations
15.
Lu, Haihao, Santiago Balseiro, & Vahab Mirrokni. (2020). Dual Mirror Descent for Online Allocation Problems. 2 indexed citations
16.
Lu, Haihao & Rahul Mazumder. (2020). Randomized Gradient Boosting Machine. SIAM Journal on Optimization. 30(4). 2780–2808. 17 indexed citations
17.
Lu, Haihao & Robert M. Freund. (2020). Generalized stochastic Frank–Wolfe algorithm with stochastic “substitute” gradient for structured convex optimization. Mathematical Programming. 187(1-2). 317–349. 13 indexed citations
18.
19.
Lu, Haihao, Robert M. Freund, & Yurii Nesterov. (2018). Relatively Smooth Convex Optimization by First-Order Methods, and Applications. SIAM Journal on Optimization. 28(1). 333–354. 116 indexed citations
20.
Lu, Haihao, et al.. (2016). Stochastic linearization of turbulent dynamics of dispersive waves in equilibrium and non-equilibrium state. New Journal of Physics. 18(8). 83028–83028. 6 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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