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
100 2023 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
55 2023 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
42 2020 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
33 2023 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
27 2020 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
23 2017 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
21 2021 Generative principal component analysis Z Liu, J Liu, S Ghosh, J Han, J Scarlett
International Conference on Learning Representations (ICLR), 2022
17 2022 The generalized Lasso with nonlinear observations and generative priors Z Liu, J Scarlett
Conference on Neural Information Processing Systems (NeurIPS), 2020
16 2020 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
15 * 2020 Non-iterative recovery from nonlinear observations using generative models J Liu, Z Liu
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
11 2022 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
8 2024 The informativeness of Z Liu, VYF Tan
IEEE Transactions on Information Theory 65 (11), 7460-7479, 2019
8 * 2019 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
7 2023 Projected gradient descent algorithms for solving nonlinear inverse problems with generative priors Z Liu, J Han
International Joint Conference on Artificial Intelligence (IJCAI), 2022
5 2022 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
4 2021 Misspecified Phase Retrieval with Generative Priors Z Liu, X Wang, J Liu
Conference on Neural Information Processing Systems (NeurIPS), 2022
3 2022 Model selection for nonnegative matrix factorization by support union recovery Z Liu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
3 2019 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
International Conference on Machine Learning (ICML), 2024
2 2024 On the expressive power of a variant of the looped transformer Y Gao, C Zheng, E Xie, H Shi, T Hu, Y Li, MK Ng, Z Li, Z Liu
arXiv preprint arXiv:2402.13572, 2024
2 2024 