Yin-Ping Zhao

According to our database, Yin-Ping Zhao authored at least 25 papers between 2015 and 2024.

Collaborative distances:

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

2024

Partial Tubal Nuclear Norm-Regularized Multiview Subspace Learning.

Yongyong Chen, Yin-Ping Zhao, Shuqin Wang, Junxin Chen, Zheng Zhang

IEEE Trans. Cybern., June, 2024

RCUMP: Residual Completion Unrolling With Mixed Priors for Snapshot Compressive Imaging.

Yin-Ping Zhao, Jiancheng Zhang, Yongyong Chen, Zhen Wang, Xuelong Li

IEEE Trans. Image Process., 2024

Double Discrete Cosine Transform-Oriented Multi-View Subspace Clustering.

Yongyong Chen, Shuqin Wang, Yin-Ping Zhao, C. L. Philip Chen

IEEE Trans. Image Process., 2024

Selective multiple kernel fuzzy clustering with locality preserved ensemble.

Chuanbin Zhang, Long Chen, Yu-Feng Yu, Yin-Ping Zhao, Zhaoyin Shi, Yingxu Wang, Weihua Bai

Knowl. Based Syst., 2024

Bilevel fuzzy clustering via adaptive similarity graphs fusion.

Yin-Ping Zhao, Xiangfeng Dai, Yongyong Chen, Chuanbin Zhang, Long Chen, Yue Zhao

Inf. Sci., 2024

Random Sampling for Diffusion-based Adversarial Purification.

Jiancheng Zhang, Peiran Dong, Yongyong Chen, Yin-Ping Zhao, Song Guo

CoRR, 2024

Empowering Snapshot Compressive Imaging: Spatial-Spectral State Space Model with Across-Scanning and Local Enhancement.

Wenzhe Tian, Haijin Zeng, Yin-Ping Zhao, Yongyong Chen, Zhen Wang, Xuelong Li

CoRR, 2024

Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification.

Jiancheng Zhang, Haijin Zeng, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dual Prior Unfolding for Snapshot Compressive Imaging.

Jiancheng Zhang, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Dengxiu Yu, Yin-Ping Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Nonsingular Practical Fixed-Time Adaptive Output Feedback Control of MIMO Nonlinear Systems.

Hao Xu, Dengxiu Yu, Shuai Sui, Yin-Ping Zhao, C. L. Philip Chen, Zhen Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Nonsingular Practical Fixed-Time Consensus Tracking for Multimotor System With Input Saturation.

Tao Zhang, Dengxiu Yu, Kang Hao Cheong, Yin-Ping Zhao, Zhen Wang, C. L. Philip Chen

IEEE Syst. J., September, 2023

Subspace Clustering via Adaptive Non-Negative Representation Learning and Its Application to Image Segmentation.

Yin-Ping Zhao, Xiangfeng Dai, Zhen Wang, Xuelong Li

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Contrastive Multi-View Composite Graph Convolutional Networks Based on Contribution Learning for Autism Spectrum Disorder Classification.

Hao Zhu, Jun Wang, Yin-Ping Zhao, Minhua Lu, Jun Shi

IEEE Trans. Biomed. Eng., June, 2023

Unsupervised feature selection through combining graph learning and ℓ2,0-norm constraint.

Peican Zhu, Xin Hou, Keke Tang, Yang Liu, Yin-Ping Zhao, Zhen Wang

Inf. Sci., April, 2023

Graph Enhanced Fuzzy Clustering for Categorical Data Using a Bayesian Dissimilarity Measure.

Chuanbin Zhang, Long Chen, Yin-Ping Zhao, Yingxu Wang, C. L. Philip Chen

IEEE Trans. Fuzzy Syst., March, 2023

Unsupervised Contrastive Cross-Modal Hashing.

Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, Xi Peng

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Hyperspectral Anomaly Detection via Structured Sparsity Plus Enhanced Low-Rankness.

Yin-Ping Zhao, Hongyan Li, Yongyong Chen, Zhen Wang, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Tensor-Based Robust Principal Component Analysis With Locality Preserving Graph and Frontal Slice Sparsity for Hyperspectral Image Classification.

Yingxu Wang, Tianjun Li, Long Chen, Yufeng Yu, Yin-Ping Zhao, Jin Zhou

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Laplacian Regularized Nonnegative Representation for Clustering and Dimensionality Reduction.

Yin-Ping Zhao, Long Chen, C. L. Philip Chen

IEEE Trans. Circuits Syst. Video Technol., 2021

2019

Fuzzy Clustering in Cascaded Feature Space.

Yin-Ping Zhao, Long Chen, C. L. Philip Chen

Int. J. Fuzzy Syst., 2019

Multiple Kernel Fuzzy Clustering With Unsupervised Random Forests Kernel and Matrix-Induced Regularization.

Yin-Ping Zhao, Long Chen, Min Gan, C. L. Philip Chen

IEEE Access, 2019

Robust Nonconvex Nonnegative Low-rank Representation.

Yin-Ping Zhao, Xiliang Lu, Long Chen, Jinyu Tian, C. L. Philip Chen

Proceedings of the International Conference on Fuzzy Theory and Its Applications, 2019

2018

The Construction of Cascaded Features and Its Application in Fuzzy Clustering.

Yin-Ping Zhao, Long Chen, C. L. Philip Chen

Proceedings of the 2018 International Conference on Security, 2018

Multiple Kernel Shadowed Clustering in Approximated Feature Space.

Yin-Ping Zhao, Long Chen, C. L. Philip Chen

Proceedings of the Data Mining and Big Data - Third International Conference, 2018

2015

Robust adaptive synchronization of uncertain complex networks with multiple time-varying coupled delays.

Yin-Ping Zhao, Ping He, Hassan Saberi Nik, Junchao Ren

Complex., 2015