Zhaoqiang Liu
19 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
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Keyword Champion
(4)
π
Grand Slam
π¬
Deep Specialist
(10)
ποΈ
Keyword Collector
(92)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(15)
Models
(15)
Optimization & Theory Β· Machine Learning
(11)
Mathematics & Optimization
(8)
Core Methods
(8)
Optimization
(8)
Computer Vision
(7)
Generation
(3)
Optimization & Theory Β· Deep Learning
(3)
Processing
(3)
Application Areas
(2)
Learning Types
(2)
Analysis
(1)
Core AI
(1)
Keywords
generative prior
(7)
diffusion model
(6)
compressed sensing
(6)
generative model
(5)
single-index model
(4)
signal recovery
(4)
inverse problem
(3)
projected gradient descent
(2)
image generation
(2)
spectral initialization
(2)
statistical rate
(2)
sample complexity
(2)
nonlinear observation
(2)
principal component analysis
(2)
phase retrieval
(2)
generalized lasso
(2)
image synthesis
(1)
depth estimation
(1)
transfer learning
(1)
model misspecification
(1)
Papers
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
AAAI 2026
Just-in-Time: Training-Free Spatial Acceleration for Diffusion Transformers
CVPR 2026
Outlier-Robust Diffusion Solvers for Inverse Problems
CVPR 2026
Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models
ICML 2025
Learning Single Index Models with Diffusion Priors
ICML 2025
Accelerating Diffusion Sampling with Optimized Time Steps
CVPR 2024
Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors
AAAI 2024
Generalized Eigenvalue Problems with Generative Priors
NeurIPS 2024
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
ICML 2024
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
NeurIPS 2023
DDP: Diffusion Model for Dense Visual Prediction
ICCV 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning
ICCV 2023
Generative Principal Component Analysis
ICLR 2022
Misspecified Phase Retrieval with Generative Priors
NeurIPS 2022
Non-Iterative Recovery From Nonlinear Observations Using Generative Models
CVPR 2022
Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors
IJCAI 2022
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
NeurIPS 2021
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
ICML 2020
The Generalized Lasso with Nonlinear Observations and Generative Priors
NeurIPS 2020