Yingyu Liang

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Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zhao SongSimons Institute for the Theory of Computing, UC BerkeleyVerified email at ias.edu
Zhenmei ShiSenior Research Scientist at MongoDB + Voyage AI; PhD from University of Wisconsin–MadisonVerified email at cs.wisc.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerified email at princeton.edu
Tengyu MAStanford UniversityVerified email at stanford.edu
Somesh JhaLubar Chair of Computer Science, University of WisconsinVerified email at cs.wisc.edu
Xi WuGoogleVerified email at google.com
Jiefeng ChenGoogleVerified email at google.com
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
Andrej RisteskiCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Yuanzhi LiAssistant Professor at CMUVerified email at andrew.cmu.edu
Bo XieFacebookVerified email at fb.com
Zhizhou ShaTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Mehmet F. DemirelPhD student at University of Wisconsin-MadisonVerified email at cs.wisc.edu
Shengchao LiuUC BerkeleyVerified email at berkeley.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
William SetharesProfessor of Electrical Engineering, University of WisconsinVerified email at wisc.edu
prathusha k sarmaAppleVerified email at wisc.edu
Yufa ZhouUniversity of PennsylvaniaVerified email at seas.upenn.edu
NAN DUAI and Machine Learning Research, AppleVerified email at apple.com

Yingyu Liang

UW-Madison

Verified email at cs.wisc.edu - Homepage

machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A simple but tough-to-beat baseline for sentence embeddings S Arora, Y Liang, T Ma International conference on learning representations, 2017	1785	2017
Learning and generalization in overparameterized neural networks, going beyond two layers Z Allen-Zhu, Y Li, Y Liang Advances in neural information processing systems 32, 2019	920	2019
Generalization and equilibrium in generative adversarial nets (gans) S Arora, R Ge, Y Liang, T Ma, Y Zhang International conference on machine learning, 224-232, 2017	854	2017
Learning overparameterized neural networks via stochastic gradient descent on structured data Y Li, Y Liang Advances in neural information processing systems 31, 2018	769	2018
A latent variable model approach to pmi-based word embeddings S Arora, Y Li, Y Liang, T Ma, A Risteski Transactions of the Association for Computational Linguistics 4, 385-399, 2016	633	2016
Learning relationships between text, audio, and video via deep canonical correlation for multimodal language analysis Z Sun, P Sarma, W Sethares, Y Liang Proceedings of the AAAI conference on artificial intelligence 34 (05), 8992-8999, 2020	377	2020
Linear algebraic structure of word senses, with applications to polysemy S Arora, Y Li, Y Liang, T Ma, A Risteski Transactions of the Association for Computational Linguistics 6, 483-495, 2018	308	2018
Scalable kernel methods via doubly stochastic gradients B Dai, B Xie, N He, Y Liang, A Raj, MF Balcan, L Song Advances in neural information processing systems 27, 2014	261	2014
N-gram graph: Simple unsupervised representation for graphs, with applications to molecules S Liu, MF Demirel, Y Liang Advances in neural information processing systems 32, 2019	233	2019
Distributed -means and -median Clustering on General Topologies MFF Balcan, S Ehrlich, Y Liang Advances in neural information processing systems 26, 2013	228	2013
Atom: Robustifying out-of-distribution detection using outlier mining J Chen, Y Li, X Wu, Y Liang, S Jha Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021	178	2021
Robust hierarchical clustering MF Balcan, Y Liang, P Gupta The Journal of Machine Learning Research 15 (1), 3831-3871, 2014	177	2014
Improved distributed principal component analysis Y Liang, MFF Balcan, V Kanchanapally, D Woodruff Advances in neural information processing systems 27, 2014	168	2014
Loss-balanced task weighting to reduce negative transfer in multi-task learning S Liu, Y Liang, A Gitter Proceedings of the AAAI conference on artificial intelligence 33 (01), 9977-9978, 2019	162	2019
Diverse neural network learns true target functions B Xie, Y Liang, L Song Artificial Intelligence and Statistics, 1216-1224, 2017	158*	2017
A la carte embedding: Cheap but effective induction of semantic feature vectors M Khodak, N Saunshi, Y Liang, T Ma, B Stewart, S Arora arXiv preprint arXiv:1805.05388, 2018	136	2018
Clustering under perturbation resilience MF Balcan, Y Liang SIAM Journal on Computing 45 (1), 102-155, 2016	123	2016
Influence function learning in information diffusion networks N Du, Y Liang, M Balcan, L Song International Conference on Machine Learning, 2016-2024, 2014	114	2014
Robust out-of-distribution detection for neural networks J Chen, Y Li, X Wu, Y Liang, S Jha arXiv preprint arXiv:2003.09711, 2020	105	2020
Robust attribution regularization J Chen, X Wu, V Rastogi, Y Liang, S Jha Advances in Neural Information Processing Systems 32, 2019	105	2019

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