Xixi Jia

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Topics

Image Restoration

Principal Component Analysis

Norm Minimization

Top Venues

Signal Process.

Publications

Kun Wang, Xiangchu Feng, Xixi Jia, Tingting Qi
A variable parameter variational model with application to real image denoising. Signal Process. 224 (2024)
Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng
Stable Local-Smooth Principal Component Pursuit. SIAM J. Imaging Sci. 17 (2) (2024)
Xixi Jia, Xiangchu Feng, Hongwei Yong, Deyu Meng
Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Wenhao Wu, Weiwei Wang, Xixi Jia, Xiangchu Feng
Transformer Autoencoder for K-means Efficient clustering. Eng. Appl. Artif. Intell. 133 (2024)
Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng
CBA: Improving Online Continual Learning via Continual Bias Adaptor. ICCV (2023)
Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent. NeurIPS (2023)
Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng
CBA: Improving Online Continual Learning via Continual Bias Adaptor. CoRR (2023)
Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier. ICLR (2023)
Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia
Deep RED Unfolding Network for Image Restoration. IEEE Trans. Image Process. 31 (2022)
Renzhen Wang, Xixi Jia, Quanziang Wang, Deyu Meng
Learning to Adapt Classifier for Imbalanced Semi-supervised Learning. CoRR (2022)
Xixi Jia, Deyu Meng, Xuande Zhang, Xiangchu Feng
PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation. Inf. Sci. 610 (2022)
Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang
Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Xixi Jia, Xiangchu Feng, Sanyang Liu
Dual non-autonomous deep convolutional neural network for image denoising. Inf. Sci. 572 (2021)
Renzhen Wang, De cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers. CoRR (2021)
Xixi Jia, Sanyang Liu, Xiangchu Feng, Lei Zhang
FOCNet: A Fractional Optimal Control Network for Image Denoising. CVPR (2019)
Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu
A Benchmark for Edge-Preserving Image Smoothing. IEEE Trans. Image Process. 28 (7) (2019)
Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu
A Benchmark for Edge-Preserving Image Smoothing. CoRR (2019)
Xixi Jia, Xiangchu Feng, Weiwei Wang, Hua Huang, Chen Xu
Online Schatten quasi-norm minimization for robust principal component analysis. Inf. Sci. 476 (2019)
Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Ruiqiang He
A further study on the inequality constraints in stochastic configuration networks. Inf. Sci. 487 (2019)
Chen-ping Zhao, Xiangchu Feng, Xixi Jia, Ruiqiang He, Chen Xu
Root-transformation based multiplicative denoising model and its statistical analysis. Neurocomputing 275 (2018)
Xixi Jia, Xiangchu Feng, Weiwei Wang, Chen Xu, Lei Zhang
Bayesian inference for adaptive low rank and sparse matrix estimation. Neurocomputing 291 (2018)
Hui Li, Xixi Jia, Lei Zhang
Clustering based content and color adaptive tone mapping. Comput. Vis. Image Underst. 168 (2018)
Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Rui Zhang, Ruiqiang He, Chen Xu
HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration. J. Vis. Commun. Image Represent. 57 (2018)
Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang
An extended variational image decomposition model for color image enhancement. Neurocomputing 322 (2018)
Xixi Jia, Xiangchu Feng, Weiwei Wang
Rank constrained nuclear norm minimization with application to image denoising. Signal Process. 129 (2016)
Xixi Jia, Xiangchu Feng, Weiwei Wang
Adaptive regularizer learning for low rank approximation with application to image denoising. ICIP (2016)
Xiangchu Feng, Liang Luo, Xixi Jia, Weiwei Wang
A divide-and-conquer stochastic alterable direction image denoising method. Signal Process. 108 (2015)