Zhaoqiang Liu

About Zhaoqiang Liu

Zhaoqiang Liu, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Theoretical machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors

Accelerating Diffusion Sampling with Optimized Time Steps

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling

On the Expressive Power of a Variant of the Looped Transformer

Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors

Spatial-temporal characteristics of carbon emissions corrected by socio-economic driving factors under land use changes in Sichuan Province, southwestern China

A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing

Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors

Zhaoqiang Liu Information

University

Position

Research Fellow in SoC

Citations(all)

203

Citations(since 2020)

198

Cited By

36

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Zhaoqiang Liu Skills & Research Interests

Theoretical machine learning

Top articles of Zhaoqiang Liu

Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors

AAAI Conference on Artificial Intelligence (AAAI)

2024/3/24

Junren Chen
Junren Chen

H-Index: 4

Zhaoqiang Liu
Zhaoqiang Liu

H-Index: 4

Accelerating Diffusion Sampling with Optimized Time Steps

Conference on Computer Vision and Pattern Recognition (CVPR)

2024/2/27

The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling

arXiv preprint arXiv:2402.15170

2024/2/23

On the Expressive Power of a Variant of the Looped Transformer

arXiv preprint arXiv:2402.13572

2024/2/21

Uniform Recovery Guarantees for Quantized Corrupted Sensing Using Structured or Generative Priors

arXiv preprint arXiv:2401.08402

2024/1/16

Spatial-temporal characteristics of carbon emissions corrected by socio-economic driving factors under land use changes in Sichuan Province, southwestern China

Ecological Informatics

2023/11/1

A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing

Conference on Neural Information Processing Systems (NeurIPS)

2023/9/25

Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors

arXiv preprint arXiv:2309.09032

2023/9/16

Zhaoqiang Liu
Zhaoqiang Liu

H-Index: 4

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning

2023

Ddp: Diffusion model for dense visual prediction

IEEE International Conference on Computer Vision (ICCV)

2023/3/30

Misspecified Phase Retrieval with Generative Priors

NeurIPS 2022

2022/12

Non-iterative recovery from nonlinear observations using generative models

Conference on Computer Vision and Pattern Recognition (CVPR)

2022/5/31

Jiulong Liu
Jiulong Liu

H-Index: 5

Zhaoqiang Liu
Zhaoqiang Liu

H-Index: 4

Generative principal component analysis

arXiv preprint arXiv:2203.09693

2022/3/18

Projected gradient descent algorithms for solving nonlinear inverse problems with generative priors

International Joint Conference on Artificial Intelligence (IJCAI)

2022

Zhaoqiang Liu
Zhaoqiang Liu

H-Index: 4

Jun Han
Jun Han

H-Index: 6

Towards sample-optimal compressive phase retrieval with sparse and generative priors

Advances in Neural Information Processing Systems

2021/12/6

Zhaoqiang Liu
Zhaoqiang Liu

H-Index: 4

Jonathan Scarlett
Jonathan Scarlett

H-Index: 18

Robust 1-bit compressive sensing with partial Gaussian circulant matrices and generative priors

2021/10/17

Zhaoqiang Liu
Zhaoqiang Liu

H-Index: 4

Jonathan Scarlett
Jonathan Scarlett

H-Index: 18

The generalized Lasso with nonlinear observations and generative priors

2020/12

Zhaoqiang Liu
Zhaoqiang Liu

H-Index: 4

Jonathan Scarlett
Jonathan Scarlett

H-Index: 18

Data completion for power load analysis considering the low-rank property

CSEE Journal of Power and Energy Systems

2020/8/19

Sample complexity bounds for 1-bit compressive sensing and binary stable embeddings with generative priors

37th International Conference on Machine Learning (ICML 2020)

2020/2/5

Information-theoretic lower bounds for compressive sensing with generative models

IEEE Journal on Selected Areas in Information Theory

2020/5

Zhaoqiang Liu
Zhaoqiang Liu

H-Index: 4

Jonathan Scarlett
Jonathan Scarlett

H-Index: 18

See List of Professors in Zhaoqiang Liu University(National University of Singapore)

Co-Authors

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