Seuraa
Zhaoqiang Liu
Zhaoqiang Liu
Research Fellow in SoC, NUS
Vahvistettu sähköpostiosoite verkkotunnuksessa nus.edu.sg - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Information-theoretic lower bounds for compressive sensing with generative models
Z Liu, J Scarlett
IEEE Journal on Selected Areas in Information Theory 1 (1), 292-303, 2020
212020
Rank-One NMF-Based Initialization for NMF and Relative Error Bounds under a Geometric Assumption
Z Liu, VYF Tan
IEEE Transactions on Signal Processing 65 (18), 4717-4731, 2017
182017
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
Z Liu, S Gomes, A Tiwari, J Scarlett
International Conference on Machine Learning (ICML), 2020
122020
The generalized lasso with nonlinear observations and generative priors
Z Liu, J Scarlett
Conference on Neural Information Processing Systems (NeurIPS), 2020
62020
The Informativeness of -Means for Learning Mixture Models
Z Liu, VYF Tan
IEEE Transactions on Information Theory 65 (11), 7460-7479, 2019
52019
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Z Liu, S Ghosh, J Scarlett
Conference on Neural Information Processing Systems (NeurIPS), 2021
32021
Model selection for nonnegative matrix factorization by support union recovery
Z Liu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
32019
Power load data completion method considering low rank property
C Zhuang, J An, Z Liu, R Zeng
CSEE Journal of Power and Energy Systems, 2020
22020
Robust 1-bit compressive sensing with partial Gaussian circulant matrices and generative priors
Z Liu, S Ghosh, J Scarlett
2021 IEEE Information Theory Workshop (ITW), 1-6, 2021
12021
Generative Principal Component Analysis
Z Liu, J Liu, S Ghosh, J Han, J Scarlett
International Conference on Learning Representations (ICLR), 2022
2022
Error Bounds for Spectral Clustering over Samples from Spherical Gaussian Mixture Models
Z Liu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
2019
Minimax lower bounds for nonnegative matrix factorization
M Alsan, Z Liu, VYF Tan
IEEE Statistical Signal Processing Workshop (SSP), 363-367, 2018
2018
Theoretical advances in clustering with applications to matrix factorization
Z Liu
PQDT-Global, 2017
2017
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Artikkelit 1–13