刘伟锋 - 中国石油大学 - 控制科学与工程学院

个人简介

刘伟锋，博士，教授，博士生导师，IEEE高级会员，IEEE SMC协会感知计算技术委员会主席，ACM会员，ACM SIGMM中国分会会员，CCF高级会员，CCF计算机视觉专委会委员，中国石油大学（华东）控制科学与工程学院副院长，山东省高等学校青年创新团队带头人。2002年6月毕业于中国科学技术大学自动化专业，获自动控制与工商管理双学士学位，2007年6月毕业于中国科学技术大学模式识别与智能系统专业，获工学博士学位，2009年12月晋升副教授，2011年9月至2012年9月在澳大利亚悉尼科技大学做访问学者，2016年12月晋升教授

研究领域

主要研究方向为模式识别、机器学习理论及其应用

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

W. Liu, S. Fu, Y. Zhou, Zh.-J. Zha, and L. Nie, “Human Activity Recognition by Manifold Regularization Based Dynamic Graph Convolutional Networks”, Neurocomputing, in press. X. Yang, W. Liu, W. Liu, and D. Tao, “A Survey on Canonical Correlation Analysis”, IEEE Transactions on Knowledge and Data Engineering, 10.1109/TKDE.2019.2958342. J. Li, W. Liu, Y. Zhou, D. Tao, and L. Nie, “Domain Adaptation with Few Labeled Source Samples by Graph Regularization,” Neural Processing Letters, 51(1): 23-39, 2020. 10.1007/s11063-019-10075-z. S. Fu, W. Liu, D. Tao, Y. Zhou, and L. Nie, “HesGCN: Hessian Graph Convolutional Networks for Semi-Supervised Classification”, Information Sciences, 514: 484-498,2020. 10.1016/j.ins.2019.11.019. W. Liu, X. Ma, Y. Zhou, D. Tao, and J. Cheng, “p-Laplacian Regularization for Scene Recognition,” IEEE Trans. on Cybernetics, 49(8):2927-2940, 2019. 10.1109/TCYB.2018.2833843.(ESI Highly Cited Papers) Q. Wang, J. Yu, T. Liu, and W. Liu, “ Visual Domain Adaptation and Generalisation,” IET Computer Vision, 13(2): 87-89, 2019.(Editorial) X. Ma, W. Liu, S. Li, D. Tao, and Y. Zhou, “Hypergraph -Laplacian Regularization for Remotely Sensed Image Recognition”, IEEE Trans. on Geoscience and Remote Sensing, 57(3): 1585-1595, 2019.(ESI Highly Cited Papers) C. L. P. Chen, X. You, X. Gao, T. Liu, F. Murtagh, and W. Liu, “Advances in Data Representation and Learning for Pattern Analysis,” Neurocomputing, 348: 1-2, 2019, 10.1016/j.neucom.2018.08.084.(Editorial) X. Tian, W. Liu, and F. Murtagh, “Data Mining in Human Activity Analysis,” Signal Processing, 147: 247-248, 2018. (Editorial) W. Liu, X. Yang, D. Tao, J. Cheng, and Y. Tang, “Multiview dimension reduction via Hessian multiset canonical correlations,” Information Fusion, 41: 119-128, 2018.(ESI Highly Cited Papers) X. Yang, W. Liu, D. Tao, J. Cheng, “Canonical Correlation Analysis Networks for Two-view Image Recognition”, Information Sciences, 385-386: 338-352, 2017.(ESI Highly Cited Papers) Y. Guo, L. Li, W. Liu, J. Cheng, D. Tao, “Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition”, IEEE Trans. on Systems, Man, and Cybernetics: Systems, 47(4): 617-627, 2017. W. Liu, Z. Zha, Y. Wang, K. Lu, and D. Tao, “p-Laplacian Regularized Sparse Coding for Human Activity Recognition,” IEEE Trans. on Industrial Electronics, 63(8): 5120-5129, 2016.(ESI Hot Papers,ESI Highly Cited Papers) W.Liu, H.Zhang, D.Tao, Y.Wang, K.Lu, “Large-Scale Paralleled Sparse Principal Component Analysis”, Multimedia Tools and Applications, 75(3): 1481-1493, 2016. (ESI Highly Cited Papers) W.Liu, H.Liu, D.Tao, Y.Wang, K.Lu, “Multiview Hessian regularized logistic regression for action recognition”,Signal Processing, 110: 101-107, 2015. (ESI Hot Papers) W. Liu, Y. Li, X. Lin, D. Tao, and Y. Wang, “Hessian regularized co-training for social activity recognition,” PLOS One, 9(9): e108474, 2014. (ESI Highly Cited Papers) W. Liu, D. Tao, J. Cheng, and Y. Tang, “Multiview Hessian Discriminative Sparse Coding for Image Annotation,” Computer Vision and Image Understanding, 118: 50-60, 2014. (ESI Highly Cited Papers) W. Liu and D. Tao, “Multiview Hessian Regularization for Image Annotation,” IEEE Trans. on Image Processing, 22: 2676-2687, 2013. (ESI Hot Papers,ESI Highly Cited Papers) D. Tao, L. Jin, W. Liu, and X. Li, “Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud”. IEEE Trans. on Multimedia, 15(4): 833-844, 2013. (ESI Highly Cited Papers)