Yining Wang

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Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Yu-Xiang WangAssociate Professor @ UC San DiegoVerified email at ucsd.edu
Tie-Yan LiuDistinguished Scientist, Microsoft Research AI4Science | IEEE Fellow | ACM Fellow | AAIA FellowVerified email at microsoft.com
Yan XuProfessor of biological science and medical engineering, beihang universityVerified email at buaa.edu.cn
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Yevgeniy VorobeychikWashington University in Saint LouisVerified email at wustl.edu
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Xin wangStony Brook UniversityVerified email at stonybrook.edu
Yong CuiProfessor of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
Alex SmolaBoson AIVerified email at smola.org
James GlassMIT Computer Science and Artificial Intelligence LaboratoryVerified email at mit.edu
Panupong PasupatGoogleVerified email at cs.stanford.edu
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Eric I-Chao Chang (张益肇)Microsoft ResearchVerified email at microsoft.com
Jingjing LiuMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Jiajun WuStanford UniversityVerified email at cs.stanford.edu
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoVerified email at ucsd.edu

Yining Wang

Associate Professor, Naveen Jindal School of Management, University of Texas at Dallas

Verified email at warrington.ufl.edu - Homepage

Machine learning Information Systems Operations Management


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A theoretical analysis of NDCG type ranking measures Y Wang, L Wang, Y Li, D He, TY Liu Conference on learning theory, 25-54, 2013	755	2013
Data poisoning attacks on factorization-based collaborative filtering B Li, Y Wang, A Singh, Y Vorobeychik Advances in neural information processing systems 29, 2016	435	2016
FMTCP: A fountain code-based multipath transmission control protocol Y Cui, L Wang, X Wang, H Wang, Y Wang IEEE/ACM Transactions on Networking 23 (2), 465-478, 2014	209	2014
Optimism in reinforcement learning with generalized linear function approximation Y Wang, R Wang, SS Du, A Krishnamurthy arXiv preprint arXiv:1912.04136, 2019	183	2019
Fast and guaranteed tensor decomposition via sketching Y Wang, HY Tung, AJ Smola, A Anandkumar Advances in neural information processing systems 28, 2015	155	2015
Stochastic zeroth-order optimization in high dimensions Y Wang, S Du, S Balakrishnan, A Singh International conference on artificial intelligence and statistics, 1356-1365, 2018	133	2018
Near-optimal design of experiments via regret minimization Z Allen-Zhu, Y Li, A Singh, Y Wang Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017	132*	2017
How many samples are needed to estimate a convolutional or recurrent neural network? SS Du, Y Wang, X Zhai, S Balakrishnan, R Salakhutdinov, A Singh arXiv preprint arXiv:1805.07883, 2018	99*	2018
Query understanding enhanced by hierarchical parsing structures J Liu, P Pasupat, Y Wang, S Cyphers, J Glass 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 72-77, 2013	91	2013
Differentially private subspace clustering Y Wang, YX Wang, A Singh Advances in Neural Information Processing Systems 28, 2015	89	2015
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge Y Xu, Y Wang, T Liu, J Tsujii, EIC Chang Journal of the American Medical Informatics Association 20 (5), 849-858, 2013	89	2013
Privacy-preserving dynamic personalized pricing with demand learning X Chen, D Simchi-Levi, Y Wang Management Science 68 (7), 4878-4898, 2022	86	2022
Nearly minimax-optimal regret for linearly parameterized bandits Y Li, Y Wang, Y Zhou Conference on Learning Theory, 2173-2174, 2019	83	2019
Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries Y Xu, Y Wang, T Liu, J Liu, Y Fan, Y Qian, J Tsujii, EI Chang Journal of the American Medical Informatics Association 21 (e1), e84-e92, 2014	79	2014
A theoretical analysis of noisy sparse subspace clustering on dimensionality-reduced data Y Wang, YX Wang, A Singh IEEE Transactions on Information Theory 65 (2), 685-706, 2018	75*	2018
An improved gap-dependency analysis of the noisy power method MF Balcan, SS Du, Y Wang, AW Yu Conference on Learning Theory, 284-309, 2016	72	2016
Dynamic assortment optimization with changing contextual information X Chen, Y Wang, Y Zhou Journal of machine learning research 21 (216), 1-44, 2020	69	2020
A note on a tight lower bound for capacitated MNL-bandit assortment selection models X Chen, Y Wang Operations Research Letters 46 (5), 534-537, 2018	69*	2018
Multimodal dynamic pricing Y Wang, B Chen, D Simchi-Levi Management Science 67 (10), 6136-6152, 2021	66	2021
On computationally tractable selection of experiments in measurement-constrained regression models Y Wang, AW Yu, A Singh Journal of Machine Learning Research 18 (143), 1-41, 2017	58	2017

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