黄晟

19/03/27 11:20:12 作者: 点击:[] [小] [中] [大]


黄晟,男,1988年生,博士,副教授,博士生导师,硕士生导师,2018年度ACM重庆分会学术新星奖获奖人.

欢迎报考学术型硕士研究生、专业型硕士研究生、接收校内外相关专业推免研究生!

Email: huangsheng[at]cqu[dot]edu[dot]cn


教育工作经历

2006.9-2010.6,金沙国际注册娱乐网址软件学院(后更名为大数据与软件学院),获工学学士学位

2010.9-2015.6,金沙国际注册娱乐网址计算机学院,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,奥门金沙41668 com,讲师

2017.9-至今,奥门金沙41668 com,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):零样本学习,图学习,超图学习,深度学习,流形学习

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》金沙国际注册娱乐网址部分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/)

2020

[38] Kun Wang, Xiaohong Zhang, Sheng Huang, Qiuli Wang, and Feiyu Chen. "CTF-Net: Retinal Vessel Segmentation via Deep Coarse-To-Fine Supervision Network." In IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020,pp. 1237-1241.

[37] Xing, Yun, Sheng Huang*, Luwen Huangfu, Feiyu Chen, and Yongxin Ge. "Robust Bidirectional Generative Network For Generalized Zero-Shot Learning." In IEEE International Conference on Multimedia and Expo (ICME),2020, pp. 1-6.(CCF-B会议&EI)

[36] Sheng Huang*, Lin Jingkai, and Luwen Huangfu. "Class-Prototype Discriminative Network for Generalized Zero-Shot Learning." IEEE Signal Processing Letters (SPL) 27 (2020): 301-305.(CCF-C期刊&SCI) 

2019

[35] Kun Wang, Xiaohong Zhang, Sheng Huang."KGZNet: Knowledge-Guided Deep Zoom Neural Networks for Thoracic Disease Classification". IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2019: 1396-1401(CCF-B会议&EI)

[34] Sheng Huang, Yongxin Ge, Feiyu Chen, Kewen He, Xiaohong Zhang. "Collaborative Representation Guided Graph Learning for Visual Classification". IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2019: 573-578

[33] Qiuli Wang, Jiajia Zhang, Sheng Huang, Chen Liu, Xiaohong Zhang, Dan Yang. "Fine Grain Lung Nodule Diagnosis Based on CT Using 3D Convolutional Neural Network". Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2019: 138-149

[32] Kun Wang, Xiaohong Zhang, Sheng Huang, Feiyu Chen. "Automatic Detection of Pneumonia in Chest X-Ray Images Using Cooperative Convolutional Neural Networks". Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2019: 328-340

[31] Shizheng Zhang, Sheng Huang*, Zhifeng Zhang, Heng Wang, Junxia Ma, Pu Li. "Corner detection based on tangent-to-point distance accumulation technique". Multimedia Tools and Applications. 78(18): 25685-25706 (2019). (CCF-C期刊&SCI)

[30] Wei Wang, Dan Yang, Feiyu Chen, Yunsheng Pang, Sheng Huang, Yongxin Ge. "Clustering With Orthogonal AutoEncoder." IEEE Access2019,7: 62421-62432 

[29] Zhou, Daoxiang, Dan Yang, Xiaohong Zhang, Sheng Huang, and Shu Feng. "Discriminative Probabilistic Latent Semantic Analysis with Application to Single Sample Face Recognition." Neural Processing Letters (2019): 49(3): 1273-1298 .(CCF-C期刊&SCI)

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."Neurocomputing173 (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 Processing116 (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." InIEEE 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 Biometrics3, 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." InIEEE 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." InIEEE 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." InIEEE 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." InIEEE 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)

学术兼职

ACM会员,IEEE会员,中国计算机学会(CCF)会员,

中国图象图形学会(CSIG)会员,中国自动化学会(CAA)会员,中国人工智能学会(CAAI)会员

中国图像图形学会-视觉大数据专委会委员

中国图像图形学会-成像探测与感知专委会委员

中国计算机学会-计算机视觉专委会委员

中国自动化学会-模式识别与机器智能专委会委员

中国人工智能学会-模式识别专委会委员


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 Computer Vision(ICCV, CCF-A)

IEEE International Conference on Multimedia and Expo (ICME,CCF-B)

IEEE Winter Conference on Applications of Computer Vision (WACV


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 Signal Processing(CCF-C, IF 3.470)

Elsevier Journal of Visual Communication and Image Representation (CCF-C2.164)


Springer European Conference on Computer Vision (ECCV,CCF-B)

Springer Signal, Image and Video Processing (IF 1.102)

Springer Artificial IntelligenceReview (IF 2.267)

Springer BMC bioinformatics (IF 2.213)


IET Biometrics (IF 1.382)

IET Computer Vision (CCF-C IF 0.878 )


Taylors&Francis Journal of Experimental & Theoretical Artificial Intelligence (CCF-C IF 1.011)

AAAI Conference on Arificial Intelligence(AAAI, CCF-A)

British Machine Vision Conference (BMVC, CCF-C)


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