Xixi Jia

According to our database1, Xixi Jia authored at least 21 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CBA: Improving Online Continual Learning via Continual Bias Adaptor.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Deep RED Unfolding Network for Image Restoration.
IEEE Trans. Image Process., 2022

PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation.
Inf. Sci., 2022

Learning to Adapt Classifier for Imbalanced Semi-supervised Learning.
CoRR, 2022

2021
Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery.
IEEE Trans. Neural Networks Learn. Syst., 2021

Dual non-autonomous deep convolutional neural network for image denoising.
Inf. Sci., 2021

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers.
CoRR, 2021

2019
A Benchmark for Edge-Preserving Image Smoothing.
IEEE Trans. Image Process., 2019

A further study on the inequality constraints in stochastic configuration networks.
Inf. Sci., 2019

Online Schatten quasi-norm minimization for robust principal component analysis.
Inf. Sci., 2019

FOCNet: A Fractional Optimal Control Network for Image Denoising.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration.
J. Vis. Commun. Image Represent., 2018

Root-transformation based multiplicative denoising model and its statistical analysis.
Neurocomputing, 2018

An extended variational image decomposition model for color image enhancement.
Neurocomputing, 2018

Bayesian inference for adaptive low rank and sparse matrix estimation.
Neurocomputing, 2018

Clustering based content and color adaptive tone mapping.
Comput. Vis. Image Underst., 2018

2016
Rank constrained nuclear norm minimization with application to image denoising.
Signal Process., 2016

Adaptive regularizer learning for low rank approximation with application to image denoising.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
A divide-and-conquer stochastic alterable direction image denoising method.
Signal Process., 2015


  Loading...