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2020 – today
- 2024
[j41]Zihao Dong
, Sijie Niu, Xizhan Gao, Jinping Li, Xiuli Shao:
Uncertainty-weighted prototype active learning in domain adaptive semantic segmentation. Expert Syst. Appl. 245: 123094 (2024)- [j40]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Zhenwen Ren:
Learning adaptive Grassmann neighbors for image-set analysis. Expert Syst. Appl. 247: 123316 (2024) - [j39]Zihao Dong, Sijie Niu, Xizhan Gao, Xiuli Shao:
Coarse-to-fine online latent representations matching for one-stage domain adaptive semantic segmentation. Pattern Recognit. 146: 110019 (2024) - [j38]Xizhan Gao, Kang Wei, Sijie Niu, Hui Zhao, Jiwen Dong:
EDLRDPL_Net: A New Deep Dictionary Learning Network for SAR Image Classification. IEEE Signal Process. Lett. 31: 1459-1463 (2024) - [j37]Xizhan Gao, Sijie Niu, Dong Wei, Xingrui Liu, Tingwei Wang, Fa Zhu, Jiwen Dong, Quansen Sun:
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6731-6745 (2024) - [c13]Kai Wang, Jiwen Dong, Guang Feng, Xizhan Gao, Hui Zhao, Zihao Dong, Jinglan Tian, Bowen Liu, Sijie Niu:
Contrastive Learning with Global Representation for Face Anti-spoofing. ICIC (5) 2024: 430-441 - [c12]Xiaotong Bu, Jiwen Dong, Mengjiao Zhang, Guang Feng, Xizhan Gao, Sijie Niu:
Deep Self-supervised Subspace Clustering with Triple Loss. MMM (2) 2024: 423-436 - 2023
- [j36]Xueying Zhou, Sijie Niu, Xiaohui Li, Hui Zhao, Xizhan Gao, Tingting Liu, Jiwen Dong:
Spatial-contextual variational autoencoder with attention correction for anomaly detection in retinal OCT images. Comput. Biol. Medicine 152: 106328 (2023) - [j35]Xiaohui Li, Sijie Niu, Xizhan Gao, Xueying Zhou, Jiwen Dong, Hui Zhao:
Self-training adversarial learning for cross-domain retinal OCT fluid segmentation. Comput. Biol. Medicine 155: 106650 (2023) - [j34]Yinghui Sun, Xizhan Gao, Sijie Niu, Dong Wei, Zhen Cui:
Two-directional two-dimensional fractional-order embedding canonical correlation analysis for multi-view dimensionality reduction and set-based video recognition. Expert Syst. Appl. 214: 119062 (2023) - [j33]Fa Zhu, Wenjie Zhang, Xingchi Chen, Xizhan Gao, Ning Ye:
Large margin distribution multi-class supervised novelty detection. Expert Syst. Appl. 224: 119937 (2023) - [j32]Sijie Niu, Ruiwen Xing, Xizhan Gao, Tingting Liu, Yuehui Chen:
A fine-to-coarse-to-fine weakly supervised framework for volumetric SD-OCT image segmentation. IET Comput. Vis. 17(2): 123-134 (2023) - [j31]Fa Zhu, Xingchi Chen, Xizhan Gao, Weidu Ye, Hai Zhao, Athanasios V. Vasilakos:
Constraint-weighted support vector ordinal regression to resist constraint noises. Inf. Sci. 649: 119644 (2023) - [j30]Zijian Wang, Hui Zhao, Mingwen Zheng, Sijie Niu, Xizhan Gao, Lixiang Li:
A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market. Neural Networks 164: 216-227 (2023) - [j29]Qingjie Wang, Hui Zhao, Aidi Liu, Sijie Niu, Xizhan Gao, Xiju Zong, Lixiang Li:
An Improved Fixed-Time Stability Theorem and its Application to the Synchronization of Stochastic Impulsive Neural Networks. Neural Process. Lett. 55(6): 7447-7467 (2023) - [j28]Muhao Xu, Xueying Zhou, Xizhan Gao, Weikai He, Sijie Niu:
Discriminative Feature Learning Framework With Gradient Preference for Anomaly Detection. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j27]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Zhenwen Ren:
Sparse Representation Classifier Guided Grassmann Reconstruction Metric Learning With Applications to Image Set Analysis. IEEE Trans. Multim. 25: 4307-4322 (2023) - [j26]Sijie Niu, Kun Gao, Pengfei Ma, Xizhan Gao, Hui Zhao, Jiwen Dong, Yuehui Chen, Dinggang Shen:
Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10266-10278 (2023) - [c11]Fei Yin, Xizhan Gao, Sijie Niu, Hui Zhao, Guang Feng:
Self-Attention based Deep Hash Learning Method for Efficient Image Retrieval. ICBDT 2023: 403-408 - [c10]Lei Zhou, Hui Zhao, Aidi Liu, Sijie Niu, Xizhan Gao, Xiju Zong:
Predefined-Time Synchronization of Complex Networks with Disturbances by Using Sliding Mode Control. ICONIP (7) 2023: 212-225 - [c9]Hui Zhao, Lei Zhou, Qingjie Wang, Sijie Niu, Xizhan Gao, Xiju Zong:
New Predefined-Time Stability Theorem and Applications to the Fuzzy Stochastic Memristive Neural Networks with Impulsive Effects. ICONIP (2) 2023: 275-289 - [c8]Yafei Lu, Hui Zhao, Aidi Liu, Mingwen Zheng, Sijie Niu, Xizhan Gao, Xiju Zong:
Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter. ICONIP (1) 2023: 504-515 - 2022
- [j25]Aidi Liu, Hui Zhao, Qingjie Wang, Sijie Niu, Xizhan Gao, Zhen Su, Lixiang Li:
Fixed/Predefined-time synchronization of memristor-based complex-valued BAM neural networks for image protection. Frontiers Neurorobotics 16 (2022) - [j24]Xizhan Gao, Zeming Feng, Dong Wei, Sijie Niu, Hui Zhao, Jiwen Dong:
Class-specific representation based distance metric learning for image set classification. Knowl. Based Syst. 254: 109667 (2022) - [j23]Aidi Liu, Hui Zhao, Qingjié Wang, Sijie Niu, Xizhan Gao, Chuan Chen, Lixiang Li:
A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks. Neural Networks 153: 152-163 (2022) - [j22]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Zhenwen Ren:
Neighborhood preserving embedding on Grassmann manifold for image-set analysis. Pattern Recognit. 122: 108335 (2022) - [j21]Tianhao Han, Sijie Niu, Xizhan Gao, Wenyue Yu, Na Cui, Jiwen Dong:
Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j20]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao:
Discrete Metric Learning for Fast Image Set Classification. IEEE Trans. Image Process. 31: 6471-6486 (2022) - [c7]Kang Wei, Jiwen Dong, Wei Hu, Sijie Niu, Hui Zhao, Xizhan Gao:
Deep Dictionary Pair Learning for SAR Image Classification. ICANN (3) 2022: 87-100 - [c6]Shenyuan Li, Jiwen Dong, Junting Chen, Xizhan Gao, Sijie Niu:
Vision Transformer with Depth Auxiliary Information for Face Anti-spoofing. ICONIP (3) 2022: 335-346 - [i1]Muhao Xu, Xueying Zhou, Xizhan Gao, Weikai He, Sijie Niu:
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection. CoRR abs/2204.11014 (2022) - 2021
- [j19]Md Shale Ahammed, Sijie Niu, Md Rishad Ahmed, Jiwen Dong, Xizhan Gao, Yuehui Chen:
DarkASDNet: Classification of ASD on Functional MRI Using Deep Neural Network. Frontiers Neuroinformatics 15: 635657 (2021) - [j18]Sijie Niu, Xiaofeng Qu, Junting Chen, Xizhan Gao, Tingwei Wang, Jiwen Dong:
MFNet-LE: Multilevel fusion network with Laplacian embedding for face presentation attacks detection. IET Image Process. 15(14): 3608-3622 (2021) - [j17]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Zhenwen Ren:
Adaptive graph guided concept factorization on Grassmann manifold. Inf. Sci. 576: 725-742 (2021) - [j16]Limei Wang, Sijie Niu, Xizhan Gao, Kun Liu, Feixia Lu, Qi Diao, Jiwen Dong:
Fast High-Order Sparse Subspace Clustering With Cumulative MRF for Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 18(1): 152-156 (2021) - [c5]Yingying Han, Jiwen Dong, Fan Li, Xiaohui Li, Xizhan Gao, Sijie Niu:
AFLLC: A Novel Active Contour Model Based on Adaptive Fractional Order Differentiation and Local-Linearly Constrained Bias Field. ICONIP (3) 2021: 458-469 - [c4]Xiaohui Li, Sijie Niu, Xizhan Gao, Tingting Liu, Jiwen Dong:
Unsupervised Domain Adaptation with Self-selected Active Learning for Cross-domain OCT Image Segmentation. ICONIP (2) 2021: 585-596 - 2020
- [j15]Xizhan Gao, Quansen Sun, Haitao Xu, Jianqiang Gao:
Sparse and collaborative representation based kernel pairwise linear regression for image set classification. Expert Syst. Appl. 140 (2020) - [j14]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Wenzhu Yan:
Locality-aware group sparse coding on Grassmann manifolds for image set classification. Neurocomputing 385: 197-210 (2020) - [j13]Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Wenzhu Yan:
Prototype learning and collaborative representation using Grassmann manifolds for image set classification. Pattern Recognit. 100: 107123 (2020) - [j12]Yue Sun, Sijie Niu, Xizhan Gao, Jie Su, Jiwen Dong, Yuehui Chen, Li Wang:
Adaptive-Guided-Coupling-Probability Level Set for Retinal Layer Segmentation. IEEE J. Biomed. Health Informatics 24(11): 3236-3247 (2020)
2010 – 2019
- 2019
- [j11]Wenzhu Yan, Huaijiang Sun, Quansen Sun, Zhichao Zheng, Xizhan Gao, Quan Zhang, Zhenwen Ren:
Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification. Expert Syst. Appl. 137: 380-391 (2019) - [j10]Xizhan Gao, Quansen Sun, Haitao Xu, Dong Wei, Jianqiang Gao:
Multi-model fusion metric learning for image set classification. Knowl. Based Syst. 164: 253-264 (2019) - [j9]Xizhan Gao, Sijie Niu, Quansen Sun:
Two-Directional Two-Dimensional Kernel Canonical Correlation Analysis. IEEE Signal Process. Lett. 26(11): 1578-1582 (2019) - [c3]Haochen Yang, Tieqiao Wang, Xuesong Zhou, Jiwen Dong, Xizhan Gao, Sijie Niu:
Quantitative Estimation of Rainfall Rate Intensity Based on Deep Convolutional Neural Network and Radar Reflectivity Factor. ICBDT 2019: 244-247 - [c2]Lina Wei, Quansen Sun, Xizhan Gao:
Kernel Generalized Canonical Correlation and a New Feature Fusion Strategy. ICAIS (3) 2019: 488-500 - 2018
- [j8]Xizhan Gao, Quansen Sun, Jing Yang:
MRCCA: A novel CCA based method and its application in feature extraction and fusion for matrix data. Appl. Soft Comput. 62: 45-56 (2018) - [j7]Xizhan Gao, Quansen Sun, Haitao Xu, Yanmeng Li:
2D-LPCCA and 2D-SPCCA: Two new canonical correlation methods for feature extraction, fusion and recognition. Neurocomputing 284: 148-159 (2018) - [j6]Xizhan Gao, Liya Fan, Haitao Xu:
Multiple rank multi-linear kernel support vector machine for matrix data classification. Int. J. Mach. Learn. Cybern. 9(2): 251-261 (2018) - [c1]Xizhan Gao, Quansen Sun, Haitao Xu, Yanmeng Li:
Kernel Dual Linear Regression for Face Image Set Classification. ICPR 2018: 1542-1547 - 2017
- [j5]Xizhan Gao, Quansen Sun, Haitao Xu:
Multiple-rank supervised canonical correlation analysis for feature extraction, fusion and recognition. Expert Syst. Appl. 84: 171-185 (2017) - [j4]Xizhan Gao, Quansen Sun, Haitao Xu:
Multiple Instance Learning via Semi-supervised Laplacian TSVM. Neural Process. Lett. 46(1): 219-232 (2017) - 2016
- [j3]Xizhan Gao, Liya Fan, Haitao Xu:
A novel method for classification of matrix data using Twin Multiple Rank SMMs. Appl. Soft Comput. 48: 546-562 (2016) - 2015
- [j2]Haitao Xu, Liya Fan, Xizhan Gao:
TBSTM: A Novel and Fast Nonlinear Classification Method for Image Data. Int. J. Pattern Recognit. Artif. Intell. 29(8): 1551012:1-1551012:22 (2015) - [j1]Haitao Xu, Liya Fan, Xizhan Gao:
Projection twin SMMs for 2d image data classification. Neural Comput. Appl. 26(1): 91-100 (2015)
Coauthor Index
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last updated on 2024-08-21 20:27 CEST by the dblp team
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