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Zhaoqiang Liu
Zhaoqiang Liu
Data Intelligence Group, UESTC
Verified email at uestc.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
402020
Ddp: Diffusion model for dense visual prediction
Y Ji, Z Chen, E Xie, L Hong, X Liu, Z Liu, T Lu, Z Li, P Luo
IEEE International Conference on Computer Vision (ICCV), 2023
342023
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
242020
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
222017
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
182021
Spatial-temporal characteristics of carbon emissions corrected by socio-economic driving factors under land use changes in Sichuan Province, southwestern China
C Cai, M Fan, J Yao, L Zhou, Y Wang, X Liang, Z Liu, S Chen
Ecological Informatics 77, 102164, 2023
162023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
E Xie, L Yao, H Shi, Z Liu, D Zhou, Z Liu, J Li, Z Li
IEEE International Conference on Computer Vision (ICCV), 2023
162023
Generative principal component analysis
Z Liu, J Liu, S Ghosh, J Han, J Scarlett
International Conference on Learning Representations (ICLR), 2022
152022
The generalized Lasso with nonlinear observations and generative priors
Z Liu, J Scarlett
Conference on Neural Information Processing Systems (NeurIPS), 2020
152020
Non-iterative recovery from nonlinear observations using generative models
J Liu, Z Liu
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
112022
Data completion for power load analysis considering the low-rank property
C Zhuang, J An, Z Liu, R Zeng
CSEE Journal of Power and Energy Systems 8 (6), 1751-1759, 2020
10*2020
The informativeness of -means for learning mixture models
Z Liu, VYF Tan
IEEE Transactions on Information Theory 65 (11), 7460-7479, 2019
7*2019
Projected gradient descent algorithms for solving nonlinear inverse problems with generative priors
Z Liu, J Han
International Joint Conference on Artificial Intelligence (IJCAI), 2022
52022
Robust 1-bit compressive sensing with partial Gaussian circulant matrices and generative priors
Z Liu, S Ghosh, J Scarlett
IEEE Information Theory Workshop (ITW), 2021
42021
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
J Chen, J Scarlett, MK Ng, Z Liu
Conference on Neural Information Processing Systems (NeurIPS), 2023
32023
Model selection for nonnegative matrix factorization by support union recovery
Z Liu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
32019
Misspecified Phase Retrieval with Generative Priors
Z Liu, X Wang, J Liu
Conference on Neural Information Processing Systems (NeurIPS), 2022
22022
Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors
J Chen, Z Liu
AAAI Conference on Artificial Intelligence (AAAI), 2024
2024
Accelerating Diffusion Sampling with Optimized Time Steps
S Xue, Z Liu, F Chen, S Zhang, T Hu, E Xie, Z Li
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
2024
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
J Ma, S Xue, T Hu, W Wang, Z Liu, Z Li, ZM Ma, K Kawaguchi
arXiv preprint arXiv:2402.15170, 2024
2024
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