Grani A. Hanasusanto 个人学术档案

引用次数

	总计	2019 年至今
引用	1600	1320
h 指数	16	15
i10 指数	22	19

280

140

210

2014201520162017201820192020202120222023202410 20 47 57 117 160 206 219 278 274 183

开放获取的出版物数量

查看全部

19 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Daniel KuhnProfessor of Operations Research在 epfl.ch 的电子邮件经过验证
Wolfram WiesemannProfessor of Analytics and Operations, Imperial College Business School在 imperial.ac.uk 的电子邮件经过验证
Yijie WangUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
Chin Pang HoCity University of Hong Kong在 cityu.edu.hk 的电子邮件经过验证
Peyman Mohajerin Esfahani在 tudelft.nl 的电子邮件经过验证
Stein W WallaceNHH Norwegian School of Economics在 nhh.no 的电子邮件经过验证
Steve ZymlerImperial College在 doc.ic.ac.uk 的电子邮件经过验证
Prateek Raj SrivastavaUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
Madhushini Narayana PrasadOptimization Scientist在 utexas.edu 的电子邮件经过验证
Hao ZhuAssociate Professor of ECE在 utexas.edu 的电子邮件经过验证
Can GokalpUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
Benjamin D. LeibowiczAssociate Professor & Banks McLaurin Fellow in Engineering | University of Texas at Austin在 utexas.edu 的电子邮件经过验证
Nan ZhangUniversity of Texas at Austin在 utexas.edu 的电子邮件经过验证
Viet Anh NguyenThe Chinese University of Hong Kong在 cuhk.edu.hk 的电子邮件经过验证
Yuqi ZhouNational Renewable Energy Laboratory在 nrel.gov 的电子邮件经过验证
Guanglin XuAssistant Professor, Systems Engineering and Engineering Management, UNC Charlotte在 umn.edu 的电子邮件经过验证
Yuanjin ZhengFull Professor of Nanyang Technological University, Singapore在 ntu.edu.sg 的电子邮件经过验证
Purnamrita SarkarAssociate Professor, Statistics and Data Sciences, University of Texas at Austin在 austin.utexas.edu 的电子邮件经过验证
Michael S. BrownProfessor and Canada Research Chair, York University; Samsung AI Center (Toronto)在 eecs.yorku.ca 的电子邮件经过验证
Nicholas LawsCamus Energy在 camus.energy 的电子邮件经过验证

关注

Grani A. Hanasusanto

Associate Professor, University of Illinois Urbana-Champaign

在 illinois.edu 的电子邮件经过验证 - 首页

Operations Research Optimization under Uncertainty Robust Optimization Data-Driven Methods Computational Complexity Theory


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Conic programming reformulations of two-stage distributionally robust linear programs over Wasserstein balls GA Hanasusanto, D Kuhn arXiv preprint arXiv:1609.07505, 2016	208	2016
K-adaptability in two-stage robust binary programming GA Hanasusanto, D Kuhn, W Wiesemann Operations Research 63 (4), 877-891, 2014	206	2014
A distributionally robust perspective on uncertainty quantification and chance constrained programming GA Hanasusanto, V Roitch, D Kuhn, W Wiesemann Mathematical Programming 151, 35-62, 2015	189	2015
Distributionally robust multi-item newsvendor problems with multimodal demand distributions GA Hanasusanto, D Kuhn, SW Wallace, S Zymler Mathematical Programming 152 (1), 1-32, 2015	168	2015
Ambiguous joint chance constraints under mean and dispersion information GA Hanasusanto, V Roitch, D Kuhn, W Wiesemann -, 2015	161	2015
Data-driven inverse optimization with imperfect information P Mohajerin Esfahani, S Shafieezadeh-Abadeh, GA Hanasusanto, ...	136	2017
A comment on “Computational complexity of stochastic programming problems” GA Hanasusanto, D Kuhn, W Wiesemann Mathematical Programming, 2015	95	2015
Robust data-driven dynamic programming GA Hanasusanto, D Kuhn Advances in Neural Information Processing Systems 26, 2013	81	2013
K-adaptability in two-stage distributionally robust binary programming GA Hanasusanto, D Kuhn, W Wiesemann Operations Research Letters, 2015	54	2015
On data-driven prescriptive analytics with side information: a regularized nadaraya-watson approach P Srivastava, Y Wang, GA Hanasusanto, CP Ho	51*	2021
Optimal residential battery storage operations using robust data-driven dynamic programming N Zhang, BD Leibowicz, GA Hanasusanto IEEE Transactions on Smart Grid 11 (2), 1771-1780, 2019	42	2019
Improved decision rule approximations for multi-stage robust optimization via copositive programming G Xu, GA Hanasusanto arXiv preprint arXiv:1808.06231, 2018	22*	2018
A robust spectral clustering algorithm for sub-Gaussian mixture models with outliers PR Srivastava, P Sarkar, GA Hanasusanto Operations Research 71 (1), 224-244, 2023	20	2023
Robust quadratic programming with mixed-integer uncertainty A Mittal, C Gokalp, GA Hanasusanto arXiv preprint arXiv:1706.01949, 2017	20	2017
A chopper stabilized pre-amplifier for biomedical signal acquisition GA Hanasusanto, Y Zheng Integrated Circuits, 2007. ISIC'07. International Symposium on, 200-203, 2007	20	2007
Wasserstein Robust Classification with Fairness Constraints Y Wang, VA Nguyen, GA Hanasusanto arXiv preprint arXiv:2103.06828, 2021	17*	2021
Ink-bleed reduction using functional minimization GA Hanasusanto, Z Wu, MS Brown Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 825-832, 2010	15	2010
Finding minimum volume circumscribing ellipsoids using generalized copositive programming A Mittal, GA Hanasusanto Operations Research 70 (5), 2867-2882, 2022	13*	2022
A micropower CMOS amplifier for portable surface EMG recording PK Chan, GA Hanasusanto, HB Tan, VKS Ong APCCAS 2006-2006 IEEE Asia Pacific Conference on Circuits and Systems, 490-493, 2006	13	2006
Improved conic reformulations for K-means clustering MN Prasad, GA Hanasusanto arXiv preprint arXiv:1706.07105, 2017	11	2017

系统目前无法执行此操作，请稍后再试。

文章 1–20

每年引用数

重复的引用

合并的引用

添加合著者合著作者

上传 PDF

关注此作者

引用次数

合著作者

引用