Linjun Zhang

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James ZouStanford UniversityVerified email at stanford.edu
Zhun DengPostdoctoral Researcher, Columbia UniversityVerified email at columbia.edu
T. Tony CaiProfessor of Statistics & Data Science, University of PennsylvaniaVerified email at wharton.upenn.edu
Huaxiu YaoAssistant Professor of Computer Science and Data Science, UNC Chapel HillVerified email at cs.unc.edu
Kenji KawaguchiPresidential Young Professor, National University of SingaporeVerified email at nus.edu.sg
Chelsea FinnStanford University, GoogleVerified email at cs.stanford.edu
Yichen WangUniversity of PennsylvaniaVerified email at wharton.upenn.edu
Amirata GhorbaniStanford PhDVerified email at stanford.edu
Ryumei NakadaRutgers UniversityVerified email at stat.rutgers.edu
Michael SmallThe University of Western AustraliaVerified email at uwa.edu.au
Weijie SuAssociate Professor, University of PennsylvaniaVerified email at wharton.upenn.edu
Ying WeiNanyang Technological UniversityVerified email at ntu.edu.sg
Cynthia DworkMicrosoft ResearchVerified email at microsoft.com
Shirley WuStanford UniversityVerified email at stanford.edu
Wenlong JiStanford UniversityVerified email at stanford.edu
Hongzhe Li, PhDUniversity of PennsylvaniaVerified email at upenn.edu
Mert YuksekgonulStanford UniversityVerified email at stanford.edu
Jing Ma, PhDFred Hutchinson Cancer CenterVerified email at fredhutch.org
Kailas VodrahalliPh.D. student, Stanford UniversityVerified email at stanford.edu
Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu

Linjun Zhang

Assistant Professor of Statistics, Rutgers University

Verified email at rutgers.edu - Homepage

High-Dimensional Statistics Machine Learning Differential Privacy Algorithmic Fairness Deep Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
How does mixup help with robustness and generalization? L Zhang, Z Deng, K Kawaguchi, A Ghorbani, J Zou arXiv preprint arXiv:2010.04819, 2020	218	2020
The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy TT Cai, Y Wang, L Zhang The Annals of Statistics 49 (5), 2825-2850, 2021	144	2021
Improving out-of-distribution robustness via selective augmentation H Yao, Y Wang, S Li, L Zhang, W Liang, J Zou, C Finn International Conference on Machine Learning, 25407-25437, 2022	131	2022
CHIME: Clustering of high-dimensional Gaussian mixtures with EM algorithm and its optimality TT Cai, J Ma, L Zhang	78	2019
Improving generalization in meta-learning via task augmentation H Yao, LK Huang, L Zhang, Y Wei, L Tian, J Zou, J Huang International conference on machine learning, 11887-11897, 2021	74	2021
High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data T Tony Cai, L Zhang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019	56	2019
When and how mixup improves calibration L Zhang, Z Deng, K Kawaguchi, J Zou International Conference on Machine Learning, 26135-26160, 2022	52	2022
Meta-learning with fewer tasks through task interpolation H Yao, L Zhang, C Finn arXiv preprint arXiv:2106.02695, 2021	49	2021
Analyzing and mitigating object hallucination in large vision-language models Y Zhou, C Cui, J Yoon, L Zhang, Z Deng, C Finn, M Bansal, H Yao arXiv preprint arXiv:2310.00754, 2023	40	2023
Adversarial training helps transfer learning via better representations Z Deng, L Zhang, K Vodrahalli, K Kawaguchi, JY Zou Advances in Neural Information Processing Systems 34, 25179-25191, 2021	40	2021
Exactly scale-free scale-free networks L Zhang, M Small, K Judd Physica A: Statistical Mechanics and its Applications 433, 182-197, 2015	40	2015
C-mixup: Improving generalization in regression H Yao, Y Wang, L Zhang, JY Zou, C Finn Advances in neural information processing systems 35, 3361-3376, 2022	33	2022
The power of contrast for feature learning: A theoretical analysis W Ji, Z Deng, R Nakada, J Zou, L Zhang Journal of Machine Learning Research 24 (330), 1-78, 2023	30	2023
High-dimensional Gaussian copula regression: Adaptive estimation and statistical inference TT Cai, L Zhang Statistica Sinica, 963-993, 2018	29	2018
Discover and cure: Concept-aware mitigation of spurious correlation S Wu, M Yuksekgonul, L Zhang, J Zou International Conference on Machine Learning, 37765-37786, 2023	27	2023
Estimation and inference for high-dimensional generalized linear models with knowledge transfer S Li, L Zhang, TT Cai, H Li Journal of the American Statistical Association, 1-12, 2023	26	2023
Holistic analysis of hallucination in gpt-4v (ision): Bias and interference challenges C Cui, Y Zhou, X Yang, S Wu, L Zhang, J Zou, H Yao arXiv preprint arXiv:2311.03287, 2023	25	2023
Improving adversarial robustness via unlabeled out-of-domain data Z Deng, L Zhang, A Ghorbani, J Zou International Conference on Artificial Intelligence and Statistics, 2845-2853, 2021	24	2021
A convex optimization approach to high-dimensional sparse quadratic discriminant analysis TT Cai, L Zhang The Annals of Statistics 49 (3), 1537-1568, 2021	22	2021
The cost of privacy in generalized linear models: Algorithms and minimax lower bounds TT Cai, Y Wang, L Zhang arXiv preprint arXiv:2011.03900, 2020	18	2020

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