Xixi Jia

37 papers A* 5B 1Journal 31
YearRankTypeTitle / Venue / Authors
2025 J jnl
IllumFlow: Illumination-Adaptive Low-Light Enhancement via Conditional Rectified Flow and Retinex Decomposition.
CoRR
Wenyang Wei, Yang Yang, Xixi Jia, Xiangchu Feng, Weiwei Wang, Renzhen Wang
2025 J jnl
JIRE-Net: Low-light image enhancement with joint enhancement network of illumination and reflection maps.
Digit. Signal Process.
Yan Wang, Guohong Gao, Chen-ping Zhao, Xixi Jia, Jianmin Wang, Shousheng Luo, Zhiyu Li
2025 J jnl
Local Gaussian ensemble for arbitrary-scale image super-resolution.
Comput. Vis. Image Underst.
Chuan Chen, Weiwei Wang, Xixi Jia, Xiangchu Feng, Hanjia Wei
2025 J jnl
NamPnP: Noise-Aware mechanism within Plug-and-Play framework for image enhancement.
Neurocomputing
Chenping Zhao, Yan Wang, Guohong Gao, Xixi Jia, Lijun Xu, Jianping Wang, Xiaofang Li
2025 J jnl
Noise Blind Deep Residual Wiener Deconvolution network for image deblurring.
Digit. Signal Process.
Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia
2025 J jnl
OMLK-Net: An Online Multi-scale Large Separable Kernel Distillation Network for efficient image super-resolution.
Signal Process.
Hanjia Wei, Weiwei Wang, Xixi Jia, Xiangchu Feng, Chuan Chen
2025 J jnl
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels.
CoRR
Xueqing Sun, Renzhen Wang, Quanziang Wang, Yichen Wu, Xixi Jia, Deyu Meng
2024 J jnl
A variable parameter variational model with application to real image denoising.
Signal Process.
Kun Wang, Xiangchu Feng, Xixi Jia, Tingting Qi
2024 J jnl
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective.
CoRR
Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Minghao Zhou, Deyu Meng
2024 A* conf
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing.
NeurIPS
Xixi Jia, Fangchen Feng, Deyu Meng, Defeng Sun
2024 J jnl
Iterative decoupling deconvolution network for image restoration.
J. Vis. Commun. Image Represent.
Yixing Ji, Shengjiang Kong, Weiwei Wang, Xixi Jia, Xiangchu Feng
2024 J jnl
Stable Local-Smooth Principal Component Pursuit.
SIAM J. Imaging Sci.
Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng
2024 J jnl
Transformer Autoencoder for K-means Efficient clustering.
Eng. Appl. Artif. Intell.
Wenhao Wu, Weiwei Wang, Xixi Jia, Xiangchu Feng
2024 J jnl
Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization.
IEEE Trans. Neural Networks Learn. Syst.
Xixi Jia, Xiangchu Feng, Hongwei Yong, Deyu Meng
2023 A* conf
CBA: Improving Online Continual Learning via Continual Bias Adaptor.
ICCV
Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng
2023 J jnl
CBA: Improving Online Continual Learning via Continual Bias Adaptor.
CoRR
Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng
2023 A* conf
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier.
ICLR
Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng
2023 A* conf
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent.
NeurIPS
Xixi Jia, Hailin Wang, Jiangjun Peng, Xiangchu Feng, Deyu Meng
2022 J jnl
Deep RED Unfolding Network for Image Restoration.
IEEE Trans. Image Process.
Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia
2022 J jnl
Learning to Adapt Classifier for Imbalanced Semi-supervised Learning.
CoRR
Renzhen Wang, Xixi Jia, Quanziang Wang, Deyu Meng
2022 J jnl
PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation.
Inf. Sci.
Xixi Jia, Deyu Meng, Xuande Zhang, Xiangchu Feng
2021 J jnl
Dual non-autonomous deep convolutional neural network for image denoising.
Inf. Sci.
Xixi Jia, Xiangchu Feng, Sanyang Liu
2021 J jnl
Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery.
IEEE Trans. Neural Networks Learn. Syst.
Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang
2021 J jnl
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers.
CoRR
Renzhen Wang, De Cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng
2019 J jnl
A Benchmark for Edge-Preserving Image Smoothing.
CoRR
Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu
2019 J jnl
A Benchmark for Edge-Preserving Image Smoothing.
IEEE Trans. Image Process.
Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu
2019 J jnl
A further study on the inequality constraints in stochastic configuration networks.
Inf. Sci.
Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Ruiqiang He
2019 A* conf
FOCNet: A Fractional Optimal Control Network for Image Denoising.
CVPR
Xixi Jia, Sanyang Liu, Xiangchu Feng, Lei Zhang
2019 J jnl
Online Schatten quasi-norm minimization for robust principal component analysis.
Inf. Sci.
Xixi Jia, Xiangchu Feng, Weiwei Wang, Hua Huang, Chen Xu
2018 J jnl
An extended variational image decomposition model for color image enhancement.
Neurocomputing
Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang
2018 J jnl
Bayesian inference for adaptive low rank and sparse matrix estimation.
Neurocomputing
Xixi Jia, Xiangchu Feng, Weiwei Wang, Chen Xu, Lei Zhang
2018 J jnl
Clustering based content and color adaptive tone mapping.
Comput. Vis. Image Underst.
Hui Li, Xixi Jia, Lei Zhang
2018 J jnl
HCLR: A hybrid clustering and low-rank regularization-based method for photon-limited image restoration.
J. Vis. Commun. Image Represent.
Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Rui Zhang, Ruiqiang He, Chen Xu
2018 J jnl
Root-transformation based multiplicative denoising model and its statistical analysis.
Neurocomputing
Chen-ping Zhao, Xiangchu Feng, Xixi Jia, Ruiqiang He, Chen Xu
2016 B conf
Adaptive regularizer learning for low rank approximation with application to image denoising.
ICIP
Xixi Jia, Xiangchu Feng, Weiwei Wang
2016 J jnl
Rank constrained nuclear norm minimization with application to image denoising.
Signal Process.
Xixi Jia, Xiangchu Feng, Weiwei Wang
2015 J jnl
A divide-and-conquer stochastic alterable direction image denoising method.
Signal Process.
Xiangchu Feng, Liang Luo, Xixi Jia, Weiwei Wang