熊凤超 - 南京理工大学 - 计算机科学与工程学院

个人简介

工作经历 2019年10月- 讲师教育经历 2010年09-2014年06 山东大学 2011年09-2011年06 武汉大学 2014年09-2019年09 浙江大学 2017年11-2018年12 格里菲斯大学

研究领域

Machine Learning: Low-rank matrix/tensor factorization, Sparse matrix/tensor representation, Dictionary learning Deep learning, Deep sparse coding Computer Vision: Denoising Object Tracking

近期论文

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Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, and Yuanyan Tang. ”Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery”. IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 3, pp. 1776-1792, March 2017. Fengchao Xiong, Jingzhou Chen, Yuntao Qian, Jun Zhou. ”Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing”, IEEE International Geoscience and Remote Sensing Symposium, IGARSS’18, 2018. Fengchao Xiong, Yuntao Qian, Jun Zhou. ”Hyperspectral Unmixing via Total Variation Regularized Non- negative Tensor Factorization” , IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 4, pp. 2341-2357, April 2019 Fengchao Xiong, Yuntao Qian, Jun Zhou. ”Hyperspectral Imagery Denoising via Reweighed Sparse Low- Rank Nonnegative Tensor Factorization” , IEEE International Conference on Image Processing, ICIP’18, 2018. Kun Qian, Jun Zhou, Fengchao Xiong, Huixin Zhou. ”Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter”, International Conference on Smart Multimedia, ICSM 2018. Fengchao Xiong, Jun Zhou, Yuntao Qian. ”Hyperspectral restoration via L0 Gradient Regularized Low- Rank Tensor factorization” , IEEE Transactions on Geoscience and Remote Sensing, 2019. Fengchao Xiong, Jun Zhou,Yuntao Qian. ”Material based object tracking in hyperspectral video” IEEE Transactions on Image Processing. (Major revision) Qipeng Qian, Fengchao Xiong, Jun Zhou. ”Deep Unfolded Iterative Shrinkage-Thresholding Model for Hyperspectral Unmixing”, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Tokyo, 2019. Fengchao Xiong, Jun Zhou, Yuntao Qian, Jocelyn Chanussot. ”Dynamic Material-Awarded Object Track- ing in Hyperspectral Videos”, IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Amsterdam, 2019. Yuntao Qian, Fengchao Xiong, Qipeng Qian, and Jun Zhou. ” Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing”, IEEE Transactions on Geoscience and Remote Sensing, 2019.(Under review)