Zhaoqiang Liu
17 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird
🏃
Academic Marathon
(5)
🧭
Keyword Pioneer
🏆
Keyword Champion
(4)
🏆
Grand Slam
🗃️
Keyword Collector
(68)
💎
Century Club
(16)
🔥
Unstoppable
(6)
Conferences
NIPS (5)
ICML (4)
AAAI (2)
CVPR (2)
ICCV (2)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
generative prior
(7)
compressed sensing
(6)
generative model
(4)
signal recovery
(4)
single index model
(3)
diffusion model
(3)
sample complexity
(2)
spectral initialization
(2)
statistical rate
(2)
nonlinear observation
(2)
generalized lasso
(2)
depth estimation
(1)
transfer learning
(1)
image synthesis
(1)
model misspecification
(1)
image generation
(1)
sparse recovery
(1)
logistic regression
(1)
compressive sensing
(1)
semantic segmentation
(1)
Papers
Diffusion Model Based Signal Recovery Under 1-Bit Quantization
AAAI 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
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
ICML 2024
Accelerating Diffusion Sampling with Optimized Time Steps
CVPR 2024
Generalized Eigenvalue Problems with Generative Priors
NIPS 2024
Efficient Algorithms for Non-gaussian Single Index Models with Generative Priors
AAAI 2024
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning
ICCV 2023
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing
NIPS 2023
DDP: Diffusion Model for Dense Visual Prediction
ICCV 2023
Non-Iterative Recovery From Nonlinear Observations Using Generative Models
CVPR 2022
Generative Principal Component Analysis
ICLR 2022
Misspecified Phase Retrieval with Generative Priors
NIPS 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
NIPS 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
NIPS 2020