个人简历

胡凯，男，博士，副教授，硕士生导师，湖南省普通高校青年骨干教师培养对象，国际电气与电子工程师协会（IEEE）会员，中国计算机学会（CCF）人工智能与模式识别专业委员会委员，中国图象图形学学会（CSIG）视觉大数据专业委员会委员、机器视觉专业委员会委员，中国人工智能学会（CAAI）会员，湖南省计算机学会理事，湘潭市首批高层次人才，湘潭市科技创新智库专家，湘潭市首批大数据和产业创新发展智库专家。2016年12月至2017年12月，在新加坡南洋理工大学电气与电子工程学院从事访问研究。\r
\r
湘潭大学“人工智能”研究团队成员，主要研究方向为机器学习、图像处理及模式识别等。近3年主持国家自然科学基金青年项目、湖南省自然科学基金青年项目、湖南省教育厅优秀青年基金、百度“松果计划”科研基金、赛尔网络下一代互联网技术创新项目（智能医疗）等10项基金，骨干参与国家自然科学基金、湖南省自然科学基金、湖南省高校创新平台开放基金等7项基金。在IEEE Transactions on Instrumentation and Measurement、Expert Systems with Applications、Information Processing & Management、Neurocomputing、Optics and Laser Technology、Biomedical Signal Processing and Control、Magnetic Resonance Imaging、IEEE International Conference on Bioinformatics and Biomedicine (BIBM)、IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)等国内外学术期刊、会议上公开发表论文30余篇，其中SCI期刊论文20篇，EI收录8篇，已授权发明专利3项，2018年获湖南省自然科学三等奖1项，2020年指导研究生获湖南省优秀硕士学位论文1项。 \r
\r
现为湘潭大学计算机科学与技术、计算机技术硕士学位点导师，IEEE TMI、IEEE TIM、IEEE Access、ESWA、NN、SP、NEUROCOM、TOMM、BSPC、MRI、MICCAI等多个学术期刊和会议审稿人。

研究领域

""机器学习、图像处理、模式识别""""

近期论文

X. Zhou, X. Li, K. Hu* (Corresponding author), Y. Zhang, Z. Chen*, X. Gao, “ERV-Net: An efficient 3D residual neural network for brain tumor segmentation”, Expert Systems with Applications, 170: 114566, 2021. (Top Journal, SCI, IF: 5.452)\r
\r
K. Hu, K. Chen, X. He, Y. Zhang, Z. Chen*, X. Li, X. Gao*, “Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network”, Information Processing & Management, 57(6): 102352, 2020. (Top Journal, SCI, IF: 4.787)\r
\r
K. Hu, S. Liu, Y. Zhang, C. Cao, F. Xiao, W. Huang, X. Gao, “Automatic Segmentation of Dermoscopy Images Using Saliency Combined with Adaptive Thresholding Based on Wavelet Transform”, Multimedia Tools and Applications, 79, 14625-14642, 2020. (SCI, IF: 2.313)\r
\r
K. Hu, B. Shen, Y. Zhang, C. Cao, F. Xiao, X. Gao*, “Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search”, Neurocomputing, 365: 302-313, 2019. (Top Journal, SCI, IF: 4.438)\r
\r
K. Hu, Q. Gan, Y. Zhang, S. Deng, F. Xiao, W. Huang, C. Cao*, X. Gao*, “Brain Tumor Segmentation Using Multi-cascaded Convolutional Neural Networks and Conditional Random Field”, IEEE Access, 7: 92615-92629, 2019. (SCI, IF: 3.745)\r
\r
K. Hu, X. Gao*, Y. Zhang, “Markov multiple feature random fields model for the segmentation of brain MR images”, Expert Systems with Applications, 134: 79-92, 2019. (Top Journal, SCI, IF: 5.452)\r
\r
K. Hu, X. Niu, S. Liu, Y. Zhang, C. Cao, F. Xiao, W. Yang, X. Gao*, “Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model”, Biomedical Signal Processing and Control, 51: 200-209, 2019. (SCI, IF: 3.137)\r
\r
C. Cao, L. Deng, W. Duan, F. Xiao, W. Yang, K. Hu* (Corresponding author), “Hyperspectral image classification via compact-dictionary-based sparse representation”, Multimedia Tools and Applications, 78(11): 15011-15031, 2019. (SCI, IF: 2.313)\r
\r
D. Cui, G. Zhang, K. Hu* (Corresponding author), W. Han, G.-B. Huang, “Face recognition using total loss function on face database with ID photos”, Optics and Laser Technology, 110: 227-233, 2019. (SCI, IF: 3.233)\r
\r
L. Tan, K. Hu* (Corresponding author), X. Zhou, R. Chen, W. Jiang, “Print-scan invariant text image watermarking for hardcopy document authentication”, Multimedia Tools and Applications, 78(10): 13189-13211, 2019. (SCI, IF: 2.313)\r
\r
K. Hu, Z. Zhang, X. Niu, Y. Zhang, C. Cao, F. Xiao, X. Gao*, “Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function”, Neurocomputing, 309: 179-191, 2018. (Top Journal, SCI, IF: 4.438)\r
\r
K. Hu, Q. Cheng, B. Li, X. Gao*, “The complex data denoising in MR images based on the directional extension for the undecimated wavelet transform”, Biomedical Signal Processing and Control, 39: 336-350, 2018. (SCI, IF: 3.137)\r
\r
K. Hu, D. Cui, Y. Zhang, C. Cao, F. Xiao, G.-B. Huang, “Classification of foreign object debris using integrated visual features and extreme learning machine”, In: Yang J. et al. (eds) Computer Vision. CCCV 2017. Communications in Computer and Information Science, vol. 773, pp. 3-13, 2017, Springer, Singapore.\r
\r
K. Hu, W. Yang, X. Gao*, “Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform”, Expert Systems with Applications, 86: 135-144, 2017. (Top Journal, SCI, IF: 5.452)\r
\r
K. Hu, Q. Cheng, X. Gao*, “Wavelet-domain TI Wiener-like filtering for complex MR data denoising”, Magnetic Resonance Imaging, 34(8): 1128-1140, 2016. (SCI, IF: 2.053)\r
\r
K. Hu, G. Tang, D. Xiong, Q. Qiu, “A novel image segmentation algorithm based on hidden Markov random field model and finite mixture model parameter estimation”, Proc. of the 2012 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR’12), IEEE Press: p. 1-6, July 2012.\r
\r
K. Hu, X. Gao*, F. Li, “Detection of suspicious lesions by adaptive thresholding based on multiresolution analysis in mammograms”, IEEE Transactions on Instrumentation and Measurement, 60(2): 462-472 , 2011. (Top Journal, SCI, IF: 3.658)\r
\r
C. Cao, J. Yu, C. Zhou, K. Hu, F. Xiao, X. Gao, “Hyperspectral Image Denoising via Subspace-Based Nonlocal Low-Rank and Sparse Factorization”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(3): 973-988, 2019. (SCI, IF: 3.827)\r
\r
W. Yang, X. Gao*, C. Cao, F. Xiao, K. Hu, X. Zhang, Y. Zhang, “An Effective Approach for Prediction of Exposure to Base Stations Using Wavelets to Fit the Antenna Pattern”, IEEE Transactions on Antennas and Propagation, 66(12): 7519-7524, 2018. (Top Journal, SCI, IF: 4.371)\r
\r
F. Xiao, W. Deng, C. Cao, K. Hu, X. Gao*, “Multi-Scale Deep Neural Network for Salient Object Detection”, IET Image Processing, 12(11): 2036-2041, 2018. (SCI, IF: 1.995)\r
\r
W. Yang, Y. Hu, X. Gao*, K. Hu, F. Xiao, C. Cao, “The Duty Cycle Analysis for Electromagnetic Field Exposure From WLAN in a Busy Period”, IEEE Transactions on Electromagnetic Compatibility, 58(6): 1772-1775, 2016. (SCI, IF: 1.882)