Qi Lei

Cited by

	All	Since 2020
Citations	2813	2447
h-index	24	23
i10-index	35	34

580

290

145

435

20162017201820192020202120222023202420258 37 105 206 338 453 549 491 564 52

Public access

View all

29 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu
Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonVerified email at cs.utexas.edu
Alexandros G DimakisProfessor, ECE University of Texas at AustinVerified email at austin.utexas.edu
Jinfeng Yi (易津锋)Verified email at jd.com
Sham M KakadeHarvard UniversityVerified email at seas.harvard.edu
Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Kai ZhongApplied Scientist, AmazonVerified email at amazon.com
Ian En-Hsu YenPhD, Machine Learning Department, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Amir GholamiResearch Scientist, University of California, BerkeleyVerified email at eecs.berkeley.edu
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyVerified email at berkeley.edu
Michael MahoneyProfessor of Statistics, UC BerkeleyVerified email at stat.berkeley.edu
Jiong ZhangSenior Applied Scientist, AmazonVerified email at utexas.edu
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinVerified email at utexas.edu
Hsiang-Fu YuPrincipal Applied Scientist at AmazonVerified email at cs.utexas.edu
Arnaud VandaeleMathematics and Operational Research, Faculté Polytechnique, Université de Mons, BelgiumVerified email at umons.ac.be
Nicolas GillisUniversity of MonsVerified email at umons.ac.be
Rachel WardUT Austin / Microsoft ResearchVerified email at math.utexas.edu
Constantinos DaskalakisProfessor of Computer Science, MITVerified email at csail.mit.edu

Qi Lei

Assistant Professor of Mathematics and Data Science, New York University

Verified email at nyu.edu - Homepage

Machine Learning Optimization Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gradient coding: Avoiding stragglers in distributed learning R Tandon, Q Lei, AG Dimakis, N Karampatziakis International Conference on Machine Learning, 3368-3376, 2017	571	2017
Few-shot learning via learning the representation, provably SS Du, W Hu, SM Kakade, JD Lee, Q Lei International Conference on Learning Representations, 2021	291	2021
Predicting what you already know helps: Provable self-supervised learning JD Lee, Q Lei, N Saunshi, J Zhuo Advances in Neural Information Processing Systems 34, 2021	206	2021
Hessian-based analysis of large batch training and robustness to adversaries Z Yao, A Gholami, Q Lei, K Keutzer, MW Mahoney Advances in Neural Information Processing Systems 31, 4949-4959, 2018	184	2018
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization J Zhang, Q Lei, I Dhillon International Conference on Machine Learning, 5806--5814, 2018	138	2018
Cat: Customized adversarial training for improved robustness M Cheng, Q Lei, PY Chen, I Dhillon, CJ Hsieh IJCAI, 673-679, 2022	131	2022
Similarity Preserving Representation Learning for Time Series Clustering. Q Lei, J Yi, R Vaculin, L Wu, IS Dhillon IJCAI 19, 2845-2851, 2019	104	2019
Gradient coding R Tandon, Q Lei, AG Dimakis, N Karampatziakis arXiv preprint arXiv:1612.03301, 2016	103	2016
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Q Lei, L Wu, PY Chen, A Dimakis, IS Dhillon, MJ Witbrock Systems and Machine Learning (SysML), 2019	102	2019
Inverting deep generative models, one layer at a time Q Lei, A Jalal, IS Dhillon, AG Dimakis Advances in neural information processing systems, 2019	65	2019
A greedy approach for budgeted maximum inner product search HF Yu, CJ Hsieh, Q Lei, IS Dhillon Advances in neural information processing systems 30, 2017	63	2017
Random Warping Series: A Random Features Method for Time-Series Embedding L Wu, IEH Yen, J Yi, F Xu, Q Lei, M Witbrock In International Conference on Artificial Intelligence and Statistics, 793-802, 2018	62	2018
Efficient and non-convex coordinate descent for symmetric nonnegative matrix factorization A Vandaele, N Gillis, Q Lei, K Zhong, I Dhillon IEEE Transactions on Signal Processing 64 (21), 5571-5584, 2016	60	2016
A theory of label propagation for subpopulation shift T Cai, R Gao, J Lee, Q Lei International Conference on Machine Learning, 1170-1182, 2021	58	2021
Coordinate-wise Power Method Q Lei, K Zhong, IS Dhillon Proceedings of the 30th International Conference on Neural Information …, 2016	55	2016
How fine-tuning allows for effective meta-learning K Chua, Q Lei, JD Lee Advances in Neural Information Processing Systems 34, 2021	53	2021
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes Q Lei, SG Nagarajan, I Panageas, X Wang International Conference on Artificial Intelligence and Statistics, 2021	52	2021
Near-optimal linear regression under distribution shift Q Lei, W Hu, J Lee International Conference on Machine Learning, 6164-6174, 2021	47	2021
SGD Learns One-Layer Networks in WGANs Q Lei, J Lee, A Dimakis, C Daskalakis International Conference on Machine Learning, 2020	47	2020
Compressed sensing with invertible generative models and dependent noise J Whang, Q Lei, AG Dimakis arXiv preprint arXiv:2003.08089, 2020	40	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors