基本介紹
- 中文名：胡凱
- 國籍：中國
- 民族：漢族
- 畢業院校：湘潭大學
- 學位/學歷：博士
- 專業方向：機器學習、圖像處理及模式識別
學習工作經歷,主講課程,研究方向,科研項目,主要代表性論文,發明專利,
2013年07月至今，湘潭大學信息工程學院，計算機科學與工程系，專任教師
2009年09月——2013年06月，湘潭大學，計算數學，博士
2007年09月——2009年06月，湘潭大學，計算機軟體與理論（轉碩博連讀），碩士
2003年09月——2007年06月，湘潭大學，計算機科學與技術，學士
數字圖像處理
人工智慧概論
作業系統
C語言程式設計
C語言程式設計實驗
小波分析與套用
機器學習、圖像處理、模式識別
[1] 國家自然科學基金，基於卷積神經網路和馬爾可夫多特徵隨機場的腦部MR圖像結構分割研究，批號：61802328，2019.01-2021.12，主持.
[2] 湖南省自然科學基金，基於小波多尺度卷積神經網路的視網膜血管分割研究，批號：2019JJ50606，2019.01-2021.12，主持.
[3] 賽爾網路下一代網際網路技術創新項目，IPv6環境下基於深度學習的膠囊內窺鏡圖像輔助診斷系統，批號：NGII20170702，2018.01-2019.12，主持.
[4]湖南省教育廳項目，三維腦部MR圖像小波域馬爾可夫隨機場模型分割方法中的參數估計研究，批號：14C1069，2014.09-2017.12，主持.
[5]湘潭大學科研啟動項目，基於小波域MRF模型的腦部MR圖像分割研究，批號：13QDZ19，2013.09-2015.12，主持.
[6]國家自然科學基金，面向腫瘤精準診斷的病理圖像定量分析研究，批號：61972333，2020.01-2023.12，排第五.
[7]國家自然科學基金，任意維CDF97型濾波器組的格型結構設計研究，批號：61771415，2018.01-2021.12，排第三.
[8]國家自然科學基金，多帶多濾波器組的格型結構設計及其在圖像融合中的套用，批號：61172171，2012.01-2015.12，排第七.
[9]湖南省高校創新平台開放基金，小波框架在MR圖像去噪中的套用，批號：10K068，2010.01-2013.12，排第二.
[1]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.(SCI, IF: 4.072)
[2]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: 4.098)
[3]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: 4.292)
[4]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: 2.943)
[5]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, accepted for publication.(SCI, IF: 2.101)
[6]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: 2.101)
[7]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: 3.319)
[8]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: 2.101)
[9]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.(SCI, IF: 4.072)
[10]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: 2.943)
[11]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.
[12]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: 4.292)
[13]K. Hu, Q. Cheng, X. Gao*, “Wavelet-domainTIWiener-like filtering for complex MR data denoising”,Magnetic Resonance Imaging,34(8): 1128-1140, 2016.(SCI, IF: 2.112)
[14]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.
[15]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.(SCI, IF: 3.067)
[16] 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: 3.392)
[17] 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.(SCI, IF: 4.435)
[18] 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: 2.004)
[19] 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 onElectromagneticCompatibility, 58(6): 1772-1775, 2016.(SCI, IF: 2.274)
[20] D. Xiong, F. Xiao, L. Liu,K. Hu, Y. Tan, S. He*,X. Gao*, “Towards a better detection of horizontally transferred genes by combining unusual properties effectively”,PLoS ONE, 7: e43126, 2012.(SCI, IF: 2.776)
發明專利
註：*為博士生指導老師
[1]高協平*，胡凱，馬爾可夫多特徵隨機場模型構建方法及其腦部MR圖像分割技術，中國，ZL201310205383.1，已授權.
[2]高協平*，張勝龍，胡凱，一種文本圖像二值化的最佳化方法，中國，ZL201510257271.X，已授權.
