赵银平
发布日期：2024-04-06 浏览次数：次
综合介绍 General Introduction 本人主要研究方向为图像处理、模糊聚类、多视图聚类等。作为负责人，主持国家自然科学青年基金项目、陕西省自然科学青年基金项目、博士后站前特别资助项目各1项；作为主要参与人，承担ZF重点项目和JKW重点项目等，负责其中多源数据融合的态势感知相关算法研究；以第一作者或者通信作者身份在高水平期刊及会议上发表论文10余篇，包括IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)、IEEE Transactions on Geoscience and Remote Sensing (TGRS)、IEEE Transactions on Cybernetics (TCYB)、IEEE Transactions on Fuzzy Systems (TFS)、Information Sciences等。 个人相册
教育教学
学术成果 Academic Achievements 1) Yin-Ping Zhao, Hongyan Li, Yongyong Chen, Zhen Wang, and Xuelong Li, “Hyperspectral Anomaly Detection via Structured Sparsity Plus Enhanced Low-Rankness”. IEEE Transactions on Geoscience and Remote Sensing, 2023.2) Yin-Ping Zhao, Xiangfeng Dai, Zhen Wang, and Xuelong Li, “Subspace Clustering via Adaptive Non-Negative Representation Learning and its Application to Image Segmentation". IEEE Transactions on Circuits and Systems for Video Technology, 2023.3) Yongyong Chen, Yin-Ping Zhao, Shuqin Wang, Junxing Chen, Zheng Zhang, “Partial Tubal Nuclear Norm Regularized Multi-view Subspace Learning”. IEEE Transactions on Cybernetics, 20234) Chuan-Bin Zhang, Long Chen, Yin-Ping Zhao, Yingxu Wang, and C. L. Philip Chen, “Graph Enhanced Fuzzy Clustering for Categorical Data Using a Bayesian Dissimilarity Measure”. IEEE Transactions on Fuzzy Systems, 2022.5) Peng Hu, Hongyuan Zhu, Jie Lin, Dezhong Peng, Yin-Ping Zhao, and Xi Peng, “Unsupervised Contrastive Cross-Modal Hashing”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022.6) Peican Zhu, Xin Hou, Keke Tang, Yang Liu, Yin-Ping Zhao, Zhen Wang, “Unsupervised Feature Selection through Combining Graph Learning and L2, 0-Norm Constraint”. Information Sciences, 2022.7) Yingxu Wang, Tianjun Li, Long Chen, Yufeng Yu, Yin-Ping Zhao, and Jin Zhou, “Tensor-based Robust Principal Component Analysis with Locality Preserving Graph and Frontal Slice Sparsity for Hyperspectral Image Classification”. IEEE Transactions on Geoscience and Remote Sensing, 2022 .8) Yin-Ping Zhao, Long Chen, and C.L. Philip Chen, “Laplacian Regularized Nonnegative Representation for Clustering and Dimensionality Reduction”. IEEE Transactions on Circuits and Systems for Video Technology, 2021.9) Yin-Ping Zhao, Long Chen, and C. L. Philip Chen, “Fuzzy Clustering in Cascaded Feature Space”. International Journal of Fuzzy Systems , 2019.10) Yin-Ping Zhao, Xiliang Lu, Long Chen, Jinyu Tian, and C. L. Philip Chen, “Robust Nonconvex Nonnegative Low-rank Representation". International Conference on Fuzzy Theory and Its Application, 2019.