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教师风采
 

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,威尼斯手机版娱乐场(后更名为大数据与软件学院),获工学学士学位

2010.9-2015.6,威尼斯在线平台计算机学院,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,威尼斯在线平台,讲师

2017.9-至今,威尼斯在线平台,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》 威尼斯在线平台部分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(TPAMICCF-A,IF 8.329)

IEEE Transactions on Image Processing(TIP, CCF-A,IF 4.828)

IEEE Transactions on Neural Networks and Learning System (TNNLSCCF-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 )

 


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