个人简历

2020至今 湘潭大学计算机学院&网络空间安全学院，教授，博士生导师\r
2013-2019 湘潭大学信息工程学院，教授，硕士生导师\r
2015-2016 美国太平洋西北国家实验室，访问学者\r
2009-2013 湘潭大学信息工程学院，副教授，硕士生导师\r
2004-2008 湘潭大学信息工程学院，助教\r
2004.9-2008.5 湘潭大学数学与计算科学学院，计算数学博士点，理学博士\r
2002.9-2004.9 湘潭大学信息工程学院，计算机软件与理论硕士点，硕士，转硕博连读\r
1998.9-2002.6 湘潭大学信息工程学院，计算机科学与技术专业，工学学士

研究领域

""计算机视觉\r
人工智能\r
深度学习\r
智能计算""""

近期论文

Xieping Gao, Fen Xiao*, Bodong Li. “Construction of Arbitrary Dimensional Biorthogonal Multiwavelet Using Lifting Scheme”. IEEE Transactions on Image Processing, Vol.18, No.5, 942-955, 2009.【顶刊，SCI一区，IF：6.79】\r
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Fen Xiao, B. Li, Y. Peng, C. Cao, K. Hu and X. Gao, “Multi-Modal Weights Sharing and Hierarchical Feature Fusion for RGBD Salient Object Detection”, IEEE Access, Vol. 8, 26602-26611, 2020.【JCR一区，IF：4.098】\r
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Junda Ren, Fen Xiao*, Zhineng Chen, “An Empirical Study of Object Detectors and Its Verification on the Embedded Object Detection Model Competition”, IEEE International Conference on Multimedia & Expo(IEEE ICME), Accepted, 2020. \r
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Fen Xiao, Xue Gong, Yiming Zhang, Jun Li, Yanqing Shen, Xieping Gao, “DAA: Dual LSTMs with Adaptive Attention for Image Captioning”, Neurocomputing,Vol.364, 322-329, 2019.【JCR一区，IF：4.072】\r
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Qichang zhao, Fen Xiao*, Mengyun Yang, Yaohang Li, and Jianxin Wang, “AttentionDTA: prediction of drug–target binding affinity using attention model”, IEEE BIBM 2019.【CCF B类会议】\r
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Fen Xiao, Liangchan Peng, Lei Fu, Xieping Gao. “Salient object detection based on eye tracking data”, Signal Processing, Vol.144, 392-397, 2018. 【JCR一区，IF：4.086】\r
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Fen Xiao, Wenzheng Deng, Liangcan Peng, Chunhong Cao, Kai Hu, Xieping Gao. “MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection”, IET Image Processing, Vol.12, No.11, 2036-2041, 2018.【JCR一区，IF：2.004】\r
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Dapeng Xiong, Rongjie Liu, Fen Xiao*, etc. “ProMT: Effective Human Promoter Prediction Using Markov Chain Model Based on DNA Structural Properties”, IEEE Transactions on NanoBioscience, Vol.13, No.4, 374-383, 2014.【JCR二区，IF:2.771】\r
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Dapeng Xiong, Fen Xiao*, etc. “Towards a Better Detection of Horizontally Transferred Genes by Combining Unusual Properties Effectively”, PLOS ONE, Vol.7, No.8, 1-6, 2012. 【JCR一区, IF：2.776】\r
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Fen Xiao, Xieping Gao. “Short-Term Prediction on Time Series from Parameter-Varying Systems by Multiwavelets Neural Network”, Lecture Notes in Computer Science, Vol.3611, 139-146, 2005. 【SCI-E收录】\r
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B. Li, Y. Chen, W. Xue, J. Chen, Z. Weng, Fen Xiao*, “MRNet: A Competition model for MMSP on Embedded Deep Learning Object Detection”, 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP), Kuala Lumpur, Malaysia, pp. 1-5, 2019. 【IEEE会议，EI】\r
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Fen Xiao，高协平*，李勃东. “A Novel Image Fusion Method based on Translation Invariant Wavelet Transforms” Journal of Software, Vol.9, No.4, 859-866, 2014. 【EI】\r
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Fen Xiao, Cheng Jiang. “A New Image Structural Similarity Metric Based on K-L Transform”, CCPR 2014, Part II, CCIS 484, 159-168.【EI】\r
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Fen Xiao，Jing Xia, “An Efficient Image Fusion Scheme based on Nonsubsampled Contourlet Transform”, International Journal of Advancements in Computing Technology, Vol.5, No.9, 63-70, 2013. 【EI源刊】\r
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Fen Xiao, Xieping Gao. “参数可变系统时间序列短期预测方法”, 软件学报, Vol.17, No.5, 1042-1050, 2006. 【国内权威期刊，EI】\r
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W. Yang, X. Gao*, C. Cao,Fen 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, Vol.66, No.12, 7519-7524, 2018. 【Top 期刊，JCR一区，IF：4.435】\r
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K. Hu, B. Shen, Y. Zhang, C. Cao, Fen Xiao, X. Gao*, “Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search”, Neurocomputing, Vol. 365, 302-313, 2019. 【Top 期刊，JCR一区，IF：4.072】\r
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C. Cao, J. Yu, C. Zhou, K. Hu, Fen 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, Vol. 12, No. 3, 973-988, 2019.【JCR一区，IF：3.392】\r
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K. Hu, Q. Gan, Y. Zhang, S. Deng, Fen Xiao, W. Huang, C. Cao*, X. Gao*, “Brain Tumor Segmentation Using Multi-cascaded Convolutional Neural Networks and Conditional Random Field”, IEEE Access, Vol.7, 92615-92629, 2019.【JCR一区，IF=4.098】\r
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K. Hu, X. Niu, S. Liu, Y. Zhang, C. Cao, Fen 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, Vol. 51, No. 1, 200-209, 2019 【JCR一区，IF：2.943】