Haihao Lu
Impact in
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
- Computational Mathematics top 10%
Papers in
-
- Sparse and Compressive Sensing Techniques 14
-
- Stochastic Gradient Optimization Techniques 10
- Machine Learning and Algorithms 2
- Co-authors
- Robert M. Freund (2 shared papers)Yurii Nesterov (1 shared paper)Vahab Mirrokni (8 shared papers)Santiago Balseiro (3 shared papers)Rahul Mazumder (2 shared papers)Miles Lubin (2 shared papers)David Applegate (2 shared papers)Oliver Hinder (1 shared paper)
- Journals
- Mathematical Programming (6 papers)SIAM Journal on Optimization (4 papers)Operations Research (3 papers)Manufacturing & Service Operations Management (1 paper)New Journal of Physics (1 paper)
- Partner nations
- United StatesSingaporeSwitzerland
In The Last Decade
Haihao Lu
22 papers receiving 253 citations
Peers
Comparison fields: 5 of 62
- Numerical Analysis 85
- Computational Mathematics 9
- Computational Mechanics 126
- Management Science and Operations Research 51
- Computational Theory and Mathematics 54
Countries citing papers authored by Haihao Lu
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
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-authors
The 17 scholars most cited alongside Haihao Lu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 123 | |
| 2 | 2022 | 36 | |
| 3 | 2022 | 18 | |
| 4 | 2020 | 18 | |
| 5 | 2019 | 16 | |
| 6 | 2020 | 13 | |
| 7 | 2016 | 7 | |
| 8 | 2022 | 5 | |
| 9 | Accelerating Gradient Boosting Machine | 2020 | 4 |
| 10 | 2021 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | Dual Mirror Descent for Online Allocation Problems | 2020 | 2 |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | The Landscape of Nonconvex-Nonconcave Minimax Optimization. | 2020 | 1 |
| 17 | Contextual Reserve Price Optimization in Auctions. | 2020 | 1 |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization | 2020 | 1 |
About Haihao Lu
Haihao Lu is a scholar working on Computational Mechanics, Artificial Intelligence, Numerical Analysis, Management Science and Operations Research and Computer Networks and Communications, having authored 26 papers that have together received 260 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (14 papers), Advanced Optimization Algorithms Research (10 papers), Stochastic Gradient Optimization Techniques (10 papers), Advanced Bandit Algorithms Research (5 papers), Optimization and Variational Analysis (4 papers), Optimization and Search Problems (4 papers), Auction Theory and Applications (4 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Numerical Analysis (85 citations), Computational Mathematics (9 citations), Computational Mechanics (126 citations), Management Science and Operations Research (51 citations) and Computational Theory and Mathematics (54 citations). Haihao Lu has collaborated with scholars based in United States, Singapore and Switzerland. Frequent co-authors include Robert M. Freund, Yurii Nesterov, Vahab Mirrokni, Santiago Balseiro, Rahul Mazumder, Miles Lubin, David Applegate, Oliver Hinder, Douglas Zhou and David Cai. Their work appears in journals such as Mathematical Programming, SIAM Journal on Optimization, Operations Research, Manufacturing & Service Operations Management and New Journal of Physics.
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.