Jiezhang Cao
19 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Collector
(93)
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Trend Setter
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
Top co-authors
Research topics
Deep Learning
(12)
Computer Vision
(10)
Machine Learning
(10)
Processing
(10)
Models
(7)
Core Methods
(6)
Optimization & Theory
(5)
Architectures
(4)
Learning Types Β· Deep Learning
(4)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Generation
(3)
Learning Types Β· Machine Learning
(3)
Optimization
(3)
Application Areas
(2)
Keywords
diffusion model
(5)
image restoration
(4)
image reconstruction
(3)
snapshot compressive imaging
(3)
image super-resolution
(3)
optimal transport
(2)
generative adversarial network
(2)
neural network
(2)
distribution matching
(2)
event camera
(1)
channel attention
(1)
image generation
(1)
motion blur
(1)
video super-resolution
(1)
multimodal learning
(1)
neural network optimization
(1)
attention mechanism
(1)
talking head generation
(1)
flow matching
(1)
self-supervised learning
(1)
Papers
One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation
ICML 2025
Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution
AAAI 2025
Who is a Better Talker: Subjective and Objective Quality Assessment for AI-Generated Talking Heads
ICCV 2025
Deep Equilibrium Diffusion Restoration with Parallel Sampling
CVPR 2024
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model
CVPR 2024
Dual Prior Unfolding for Snapshot Compressive Imaging
CVPR 2024
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging
NeurIPS 2024
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
CVPR 2024
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
CVPR 2023
Event-Based Frame Interpolation With Ad-Hoc Deblurring
CVPR 2023
Recurrent Video Restoration Transformer with Guided Deformable Attention
NeurIPS 2022
Reference-Based Image Super-Resolution with Deformable Attention Transformer
ECCV 2022
Towards Interpretable Video Super-Resolution via Alternating Optimization
ECCV 2022
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution
CVPR 2020
Generative Low-bitwidth Data Free Quantization
ECCV 2020
Multi-marginal Wasserstein GAN
NeurIPS 2019
Oversampling for Imbalanced Data via Optimal Transport
AAAI 2019
Adversarial Learning with Local Coordinate Coding
ICML 2018
On the Flatness of Loss Surface for Two-layered ReLU Networks
ACML 2017