Zongben Xu
25 papers · 2014–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (53) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(13)
ποΈ
Keyword Collector
(135)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(13)
Computer Vision
(12)
Processing
(10)
Core Methods
(9)
Learning Types Β· Machine Learning
(8)
Optimization & Theory Β· Machine Learning
(7)
Artificial Intelligence
(6)
Architectures
(6)
Learning Types Β· Deep Learning
(6)
Mathematics & Optimization
(4)
Optimization
(4)
Optimization & Theory Β· Deep Learning
(4)
Application Areas
(3)
Learning Paradigms
(3)
Keywords
image restoration
(4)
low-rank approximation
(2)
optimal transport
(2)
semi-supervised learning
(2)
transfer learning
(2)
domain adaptation
(2)
mixture of gaussian
(2)
deep neural network
(2)
convolutional neural network
(2)
adversarial learning
(1)
variational inference
(1)
domain generalization
(1)
image segmentation
(1)
continual learning
(1)
image generation
(1)
few-shot learning
(1)
semantic segmentation
(1)
background subtraction
(1)
subspace learning
(1)
compressive sensing
(1)
Papers
G-IR: Geometric Image Representation for Learning
AAAI 2026
Improving Memory Efficiency for Training KANs via Meta Learning
ICML 2025
Blind Proximal Diffusion Model for Joint Image and Sensitivity Estimation in Parallel MRI
MICCAI 2024
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks
JMLR 2023
Optimal Transport-Guided Conditional Score-Based Diffusion Model
NeurIPS 2023
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images
ICCV 2023
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
NeurIPS 2022
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
ECCV 2022
Adversarial Reweighting for Partial Domain Adaptation
NeurIPS 2021
Training Networks in Null Space of Feature Covariance for Continual Learning
CVPR 2021
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
ECCV 2020
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss
CVPR 2020
HyperAdam: A Learnable Task-Adaptive Adam for Network Training
AAAI 2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
NeurIPS 2019
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
CVPR 2019
Neural Diffusion Distance for Image Segmentation
NeurIPS 2019
Semi-Supervised Transfer Learning for Image Rain Removal
CVPR 2019
Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
ICCV 2017
Deep ADMM-Net for Compressive Sensing MRI
NeurIPS 2016
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization
CVPR 2016
A Novel Sparsity Measure for Tensor Recovery
ICCV 2015
Learning a Convolutional Neural Network for Non-Uniform Motion Blur Removal
CVPR 2015
Low-Rank Matrix Factorization Under General Mixture Noise Distributions
ICCV 2015
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising
CVPR 2014
Robust Principal Component Analysis with Complex Noise
ICML 2014