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2020 – today
- 2024
[j19]Wenhao Wu, Weiwei Wang
, Xixi Jia, Xiangchu Feng:
Transformer Autoencoder for K-means Efficient clustering. Eng. Appl. Artif. Intell. 133: 108612 (2024)- [j18]Yixing Ji, Shengjiang Kong, Weiwei Wang, Xixi Jia, Xiangchu Feng:
Iterative decoupling deconvolution network for image restoration. J. Vis. Commun. Image Represent. 104: 104288 (2024) - [j17]Jiangjun Peng, Hailin Wang, Xiangyong Cao, Xixi Jia, Hongying Zhang, Deyu Meng:
Stable Local-Smooth Principal Component Pursuit. SIAM J. Imaging Sci. 17(2): 1182-1205 (2024) - [j16]Kun Wang, Xiangchu Feng, Xixi Jia, Tingting Qi:
A variable parameter variational model with application to real image denoising. Signal Process. 224: 109593 (2024) - [j15]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): 6936-6947 (2024) - [i5]Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Minghao Zhou, Deyu Meng:
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective. CoRR abs/2408.13991 (2024) - 2023
- [c5]Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng:
CBA: Improving Online Continual Learning via Continual Bias Adaptor. ICCV 2023: 19036-19046 - [c4]Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng:
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier. ICLR 2023 - [c3]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 - [i4]Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng:
CBA: Improving Online Continual Learning via Continual Bias Adaptor. CoRR abs/2308.06925 (2023) - 2022
- [j14]Xixi Jia, Deyu Meng, Xuande Zhang, Xiangchu Feng:
PDNet: Progressive denoising network via stochastic supervision on reaction-diffusion-advection equation. Inf. Sci. 610: 345-358 (2022) - [j13]Shengjiang Kong, Weiwei Wang, Xiangchu Feng, Xixi Jia:
Deep RED Unfolding Network for Image Restoration. IEEE Trans. Image Process. 31: 852-867 (2022) - [i3]Renzhen Wang, Xixi Jia, Quanziang Wang, Deyu Meng:
Learning to Adapt Classifier for Imbalanced Semi-supervised Learning. CoRR abs/2207.13856 (2022) - 2021
- [j12]Xixi Jia, Xiangchu Feng, Sanyang Liu:
Dual non-autonomous deep convolutional neural network for image denoising. Inf. Sci. 572: 263-276 (2021) - [j11]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): 1627-1641 (2021) - [i2]Renzhen Wang, De Cai, Kaiwen Xiao, Xixi Jia, Xiao Han, Deyu Meng:
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers. CoRR abs/2112.02353 (2021)
2010 – 2019
- 2019
- [j10]Xixi Jia, Xiangchu Feng, Weiwei Wang, Hua Huang, Chen Xu:
Online Schatten quasi-norm minimization for robust principal component analysis. Inf. Sci. 476: 83-94 (2019) - [j9]Xiaolong Zhu, Xiangchu Feng, Weiwei Wang, Xixi Jia, Ruiqiang He:
A further study on the inequality constraints in stochastic configuration networks. Inf. Sci. 487: 77-83 (2019) - [j8]Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu:
A Benchmark for Edge-Preserving Image Smoothing. IEEE Trans. Image Process. 28(7): 3556-3570 (2019) - [c2]Xixi Jia, Sanyang Liu, Xiangchu Feng, Lei Zhang:
FOCNet: A Fractional Optimal Control Network for Image Denoising. CVPR 2019: 6054-6063 - [i1]Feida Zhu, Zhetong Liang, Xixi Jia, Lei Zhang, Yizhou Yu:
A Benchmark for Edge-Preserving Image Smoothing. CoRR abs/1904.01579 (2019) - 2018
- [j7]Hui Li, Xixi Jia, Lei Zhang:
Clustering based content and color adaptive tone mapping. Comput. Vis. Image Underst. 168: 37-49 (2018) - [j6]Chen-ping Zhao, Xiangchu Feng, Xixi Jia, Ruiqiang He, Chen Xu:
Root-transformation based multiplicative denoising model and its statistical analysis. Neurocomputing 275: 2666-2680 (2018) - [j5]Xixi Jia, Xiangchu Feng, Weiwei Wang, Chen Xu, Lei Zhang:
Bayesian inference for adaptive low rank and sparse matrix estimation. Neurocomputing 291: 71-83 (2018) - [j4]Xixi Jia, Xiangchu Feng, Weiwei Wang, Lei Zhang:
An extended variational image decomposition model for color image enhancement. Neurocomputing 322: 216-228 (2018) - [j3]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: 61-68 (2018) - 2016
- [j2]Xixi Jia, Xiangchu Feng, Weiwei Wang:
Rank constrained nuclear norm minimization with application to image denoising. Signal Process. 129: 1-11 (2016) - [c1]Xixi Jia, Xiangchu Feng, Weiwei Wang:
Adaptive regularizer learning for low rank approximation with application to image denoising. ICIP 2016: 3096-3100 - 2015
- [j1]Xiangchu Feng, Liang Luo, Xixi Jia, Weiwei Wang:
A divide-and-conquer stochastic alterable direction image denoising method. Signal Process. 108: 90-101 (2015)
Coauthor Index
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