黄晟
黄晟，男，1988年生，博士，副教授，博士生导师，硕士生导师，
IEEE会员，ACM会员，CCF会员，中国图形图像学会成像探测与感知专委会通讯委员
Email: huangsheng[at]cqu.edu.cn
【欢迎报考19年专业硕士、学术硕士、博士研究生！！】
教育工作经历
2006.9-2010.6，重庆大学软件学院（后更名为大数据与软件学院），获工学学士学位
2010.9-2015.6，重庆大学计算机学院，获工学博士学位
2012.11-2014.11，美国罗格斯大学计算机科学系，CSC公派博士生
2015.7-2017.8，重庆大学大数据与软件学院，讲师
2017.9-至今，重庆大学大数据与软件学院，副教授
承担课程
《程序设计基础》（本科课程-上半学期） 2016-2017
《Java EE程序设计》（本科课程-下半学期） 2016-至今
《机器学习与模式识别》（本科课程-上半学期） 2017-至今
主要研究方向
机器学习 (Machine Learning)：图学习，超图学习，流形学习，子空间学习，稀疏表示，深度学习
计算机视觉 (Computer Vision)：图像分类，图像聚类，属性学习，图像分割，目标检测，运动分析,图像语义分析
生物特征识别 (Biometrics)：人脸识别，步态识别，表情分析
研究项目
主持 国家自然科学基金青年基金 《基于超图的大数据属性学习研究》 （No. 61602068)
主持 重庆市科技计划项目基础科学与前沿技术研究专项一般项目 《高性能超图正则化属性学习算法研究》 （No. cstc2016jcyjA0458）
主持 中央高校基金学院科技专项与中央高校基金启动经费各一项 （No. 106112015CDJRC091101）
主研 国家自然科学基金面上项目 《深度形状语义网络表示机理及其结构保留机制与判别性研究》 排名第3
主研 国家自然科学基金青年基金 《基于特征融合与字典选择的代表模式发现研究》 排名第3
主研 国家自然科学基金面上项目 《分数阶系统的脉冲混沌动力学及稳定性》 排名第7
主研 重庆市科技计划项目重点产业共性关键技术创新专项主题专项项目《跨媒体智能计算关键技术及典型应用平台研发和示范》 重庆大学部分680万排名第4
主研 重庆市科技计划项目基础科学与前沿技术研究专项一般项目《结构化稀疏的视觉数据浓缩方法研究》排名第3
主研 教育部高等学校博士学科点科研基金《基于多特征和多标记流形学习的人体年龄估计方法研究》排名第4
主要科研论文(CCF: http://www.ccf.org.cn/xspj/rgzn/, 所有期刊论文均为SCI论文，所有会议论文均为EI检索，17篇论文为CCF推荐期刊或会议论文)
2018
[28] Xingpeng Zhang, Sheng Huang, Xiaohong Zhang*, Wei Wang, Qiuli Wang, Dan Yang, “Residual Inception: A New Module Combining Modified Residual With Inception To Improve Network Performance” IEEE International Conference on Image Processing (ICIP), 2018 (CCF-C类会议&EI).
[27] Sheng Huang*, Hongxin Wang, Yongxin Ge, et al. "Improved hypergraph regularized Nonnegative Matrix Factorization with sparse representation". Pattern Recognition Letters, 2018, 102: 8-14.(CCF-C期刊&SCI)
[26] Dan Yang, Chenqiu Zhao, Xiaohong Zhang, Sheng Huang. "Background Modeling by Stability of Adaptive Features in Complex Scenes." IEEE Transactions on Image Processing (TIP), 2018, 27(3): 1112-1125. (CCF-A期刊&SCI)
2017
[25] Sheng Huang*, Ahmed Elgammal, and Dong Yang. "On the effect of hyperedge weights on hypergraph learning. ", Image and Vision Computing (IVC), 2017, 57: 89-101. (CCF-C期刊&SCI)
[24] Daoxiang Zhou, Dan Yang, Xiaohong Zhang, Sheng Huang, Shu Feng. "Cascaded K-means convolutional feature learner and its application to face recognition." Journal of Electronic Imaging (JEI), 2017, 26(5): 53001 (SCI)
[23] Shizheng Zhang, Dan Yang, Sheng Huang, Xiaohong Zhang, Liyun Tu, Zemin Ren, "Robust corner detection using the eigenvector-based angle estimator." Journal of Visual Communication and Image Representation, 2017, 45: 181-193.(CCF-C期刊&SCI)
[22] Cheng Peng, Yongxin Ge, Mingjian Hong, Sheng Huang, Dan Yang, "Robust face alignment with cascaded coarse-to-fine auto-encoder network". IEEE International Conference on Image Processing (ICIP) 2017: 1477-1481,(CCF-C会议&EI)
2016
[21] Sheng Huang*, Yang Yu, Dan Yang, Ahmed Elgammal, and Dong Yang. "Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms.", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016, 26(10): 1835-1845. (CCF-B期刊&SCI)
[20] Sheng Huang*, Dan Yang, Yongxin Ge, and Xiaohong Zhang. "Discriminant Hyper-Laplacian Projections and its scalable extension for dimensionality reduction." Neurocomputing 173 (2016): 145-153. (CCF-C期刊&SCI)
[19] Yongxin Ge, Cheng Peng, Jianhong Ming, Sheng Huang, Dan Yang,” Joint Local Regressors Learning for Face Alignment”. Neurocomputing, 2016, 208:262-268. (CCF-C期刊&SCI)
[18] Qianyin Huang, Xiaohong Zhang, Sheng Huang, Dan Yang. "Sparse Graph-based Inductive Learning with its Application to Face Recognition", Journal of Electronic Imaging (JEI), 2016, 25(5):050502. (SCI)
2015
[17] Sheng Huang, Ahmed Elgammal, Jiwen Lu, and Dan Yang*. "Cross-Speed Gait Recognition Using Speed-Invariant Gait Templates and Globality–Locality Preserving Projections." IEEE Transactions on Information Forensics and Security (TIFS), 10, no. 10 (2015): 2071-2083. (CCF-A期刊&SCI)
[16] Sheng Huang*, Yu Yang, Dan Yang, Luwen Huangfu, and Xiaohong Zhang. "Class specific sparse representation for classification."Signal Processing 116 (2015): 38-42. (CCF-C期刊&SCI)
[15] Sheng Huang*, Dan Yang, Ge Yongxin, and Xiaohong Zhang. "Combined supervised information with PCA via discriminative component selection."Information Processing Letters (IPL), 115, no. 11 (2015): 812-816. (CCF-C期刊&SCI)
[14] Sheng Huang, Dan Yang*, Jia Zhou, and Xiaohong Zhang. "Graph regularized linear discriminant analysis and its generalization."Pattern Analysis and Applications (PAAA), 2015, 18(3):639-650. (CCF-C期刊&SCI)
[13] Sheng Huang*, Dan Yang, Jia Zhou, Lunwen Huangfu, and Xiaohong Zhang. "Sparse graph-based transduction for image classification." Journal of Electronic Imaging (JEI) 24, no. 2 (2015): 023007-023007. (SCI)
[12] Zhang Shizheng, Yang Dan, Sheng Huang, et al. "Corner detection using arc length-based angle estimator". Journal of Electronic Imaging (JEI), 2015, 24(6): 063010-063010. (SCI)
[11] Zhang Shizheng, Yang Dan, Sheng Huang, et al. "Corner detection using Chebyshev fitting-based continuous curvature estimation[J]",IET Electronics Letters, 2015, 51(24): 1988-1990. (SCI)
[10] Sheng Huang*, Mohamed Elhoseiny, Ahmed Elgammal, and Dan Yang. "Learning Hypergraph-Regularized Attribute Predictors." InIEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 409-417, 2015. (CCF-A会议&EI)
[9] Sheng Huang, Mingchen Gao, Dan Yang*, Xiaolei Huang, Ahmed Elgammal, and Xiaohong Zhang. "Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation." In IEEE International Symposium on Biomedical Imaging(ISBI), 2015. 1556-1559. Oral Presentation, (EI)
[8] Mohamed Elhoseiny, Sheng Huang, Ahmed Elgammal, "Weather Classification with deep Convolutional Neural Networks", IEEE International Conference on Image Processing (ICIP), 2015, In Press, Oral Presentation. (CCF-C会议&EI)
2014
[7] Sheng Huang, Dan Yang*, Haopeng Zhang, Luwen Huangfu, and Xiaohong Zhang. "Shape primitive histogram: low-level face representation for face recognition." IET Biometrics 3, no. 4 (2014): 325-334. (SCI)
[6] Sheng Huang*, Ahmed Elgammal, Luwen Huangfu, Dan Yang, and Xiaohong Zhang. "Globality-locality preserving projections for biometric data dimensionality reduction." In IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 15-20, 2014. (EI)
[5] Sheng Huang*, Mohamed Elhoseiny, Ahmed Elgammal, and Dan Yang. "Improving non-negative matrix factorization via ranking its bases." In IEEE International Conference on Image Processing (ICIP), pp. 5951-5955, 2014. (CCF-C会议&EI)
[4] Sheng Huang* Dan Yang, Yongxin Ge, Dengyang Zhao, and Xin Feng. "Discriminant Hyper-Laplacian projections with its application to face recognition." In IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2014. (EI)
[3] Ge, Yongxin, Sheng Huang, Xin Feng, Jiehui Zhang, Wenbin Bu, and Dan Yang. "Two dimensional non-negative sparse Partial Least Squares for face recognition." In IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1-6, 2014. (EI)
2013
[2] Sheng Huang*, Dan Yang, Ahmed Elgammal,” Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting”, British Machine Vision Conference (BMVC), 2013 (CCF-C会议&EI)
[1] Ma, Peng, Dan Yang, Yongxin Ge, Xiaohong Zhang, Ying Qu, Sheng Huang, and Jiwen Lu. "Robust face recognition via gradient-based sparse representation." Journal of Electronic Imaging (JEI) 22, no. 1 (2013): 013018-013018. (SCI)
担任审稿人(IF means the 2018 reported impact factor of journal)
IEEE Transactions on Pattern Analysis and Machine Intelligence（TPAMI，CCF-A，IF 8.329)
IEEE Transactions on Image Processing(TIP, CCF-A,IF 4.828)
IEEE Transactions on Neural Networks and Learning System (TNNLS，CCF-B，IF 6.108)
IEEE Transactions on Cybernetics（TYC,CCF-B,IF 7.384）
IEEE Transactions on Circuits and Systems for Video Technology(TCSVT,CCF-B,IF 3.599)
IEEE Transactions on Systems, Man and Cybernetics: Systems(IF 2.35)
IEEE Signal Processing Letters (SPL, CCF-C, IF 2.528)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A)
IEEE International Conference on Multimedia and Expo (ICME,CCF-B)
Elsevier Artificial Intelligence (AI, CCF-A, IF 4.797)
Elsevier Pattern Recognition (PR, CCF-B,IF 4.582)
Elsevier Pattern Recognition Letters (PRL,CCF-C, IF 1.995)
Elsevier Image and Visual Computing (IVC, CCF-C, IF 2.671)
Elsevier Knowledge-based Systems (KBS, CCF-C, IF 4.529)
Elsevier Neurocomputing (CCF-C, IF 3.317)
Elsevier Journal of Visual Communication and Image Representation (CCF-C 2.164)
Springer European Conference on Computer Vision (ECCV, CCF-B)
Springer Signal, Image and Video Processing (IF 1.102)
Springer Artificial Intelligence Review (IF 2.267)
IET Biometrics (IF 1.382)
IET Computer Vision (CCF-C IF 0.878 )
