Xixi Jia

According to our database, Xixi Jia authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization.

Xixi Jia, Xiangchu Feng, Hongwei Yong, Deyu Meng

IEEE Trans. Neural Networks Learn. Syst., May, 2024

A variable parameter variational model with application to real image denoising.

Kun Wang, Xiangchu Feng, Xixi Jia, Tingting Qi

Signal Process., 2024

Stable Local-Smooth Principal Component Pursuit.

Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng

SIAM J. Imaging Sci., 2024

Iterative decoupling deconvolution network for image restoration.

Yixing Ji, Shengjiang Kong, Weiwei Wang, Xixi Jia, Xiangchu Feng

J. Vis. Commun. Image Represent., 2024

Transformer Autoencoder for K-means Efficient clustering.

Wenhao Wu, Weiwei Wang, Xixi Jia, Xiangchu Feng

Eng. Appl. Artif. Intell., 2024

Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective.

Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Minghao Zhou, Deyu Meng

CoRR, 2024

2023

Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent.

Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng

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.

Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CBA: Improving Online Continual Learning via Continual Bias Adaptor.

Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep RED Unfolding Network for Image Restoration.

Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia

IEEE Trans. Image Process., 2022

PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation.

Xixi Jia, Deyu Meng, Xuande Zhang, Xiangchu Feng

Inf. Sci., 2022

Learning to Adapt Classifier for Imbalanced Semi-supervised Learning.

Renzhen Wang, Xixi Jia, Quanziang Wang, Deyu Meng

CoRR, 2022

2021

Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery.

Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang

IEEE Trans. Neural Networks Learn. Syst., 2021

Dual non-autonomous deep convolutional neural network for image denoising.

Xixi Jia, Xiangchu Feng, Sanyang Liu

Inf. Sci., 2021

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

Renzhen Wang, De Cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng

CoRR, 2021

2019

A Benchmark for Edge-Preserving Image Smoothing.

Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu

IEEE Trans. Image Process., 2019

A further study on the inequality constraints in stochastic configuration networks.

Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Ruiqiang He

Inf. Sci., 2019

Online Schatten quasi-norm minimization for robust principal component analysis.

Xixi Jia, Xiangchu Feng, Weiwei Wang, Hua Huang, Chen Xu

Inf. Sci., 2019

FOCNet: A Fractional Optimal Control Network for Image Denoising.

Xixi Jia, Sanyang Liu, Xiangchu Feng, Lei Zhang

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.

Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Rui Zhang, Ruiqiang He, Chen Xu

J. Vis. Commun. Image Represent., 2018

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

Chen-ping Zhao, Xiangchu Feng, Xixi Jia, Ruiqiang He, Chen Xu

Neurocomputing, 2018

An extended variational image decomposition model for color image enhancement.

Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang

Neurocomputing, 2018

Bayesian inference for adaptive low rank and sparse matrix estimation.

Xixi Jia, Xiangchu Feng, Weiwei Wang, Chen Xu, Lei Zhang

Neurocomputing, 2018

Clustering based content and color adaptive tone mapping.

Hui Li, Xixi Jia, Lei Zhang

Comput. Vis. Image Underst., 2018

2016

Rank constrained nuclear norm minimization with application to image denoising.

Xixi Jia, Xiangchu Feng, Weiwei Wang

Signal Process., 2016

Adaptive regularizer learning for low rank approximation with application to image denoising.

Xixi Jia, Xiangchu Feng, Weiwei Wang

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A divide-and-conquer stochastic alterable direction image denoising method.

Xiangchu Feng, Liang Luo, Xixi Jia, Weiwei Wang

Signal Process., 2015