北京工业大学信息学部控制科学与工程研究生导师：胡永利

导师信息来源：北京工业大学研究生院 2019-05-10　相关院校：北京工业大学

北京工业大学信息学部控制科学与工程研究生导师胡永利介绍如下：

一、个人基本情况

胡永利，博士、教授、博士生导师。北京工业大学信息学部自动化学院教师，“多媒体与智能软件技术”北京市重点实验室研究人员。国际电气和电子工程师协会IEEE会员，中国计算机学会CCF会员。

长期从事模式识别、图像处理、计算机视觉、人机交互、虚拟现实和大数据挖掘等方面的研究工作。作为项目负责人和学术骨干主持和承担10余项国家级和省部级项目的研究工作，包括国家973计划项目、国家自然科学基金重点项目、北京市科技计划项目、北京市自然科学基金项目等。共发表学术论文70余篇，包括IEEE会刊TCYB、TNNLS、TIP、TCSVT和顶级国际会议AAAI、IJCAI、CVPR的论文。获国家发明专利10余项。

2015年入选北京市高等学校创新团队-交通大数据处理学术创新团队。2016年入选北京未来网络科技高精尖创新中心交通视频大数据分析处理团队。2017年入选北京市百千万人才工程。2017年赴美国卡耐基梅隆大学交流访问1年。获2017首届水下机器人目标抓取大赛二等奖。

二、学习经历

2000.9～2005.6，北京工业大学，计算机学院，获工学博士学位；

1995.9～1998.7，首都师范大学，数学系，获理学硕士学位；

1991.9～1995.7，西北大学，数学系，获理学学士学位。

三、工作经历

2017.1～至今，北京工业大学，信息学部，教师；

2013.12～2016.12，北京工业大学，城市交通学院，教师；

2010.4～2013.12，北京工业大学，计算机学院，教师；

2007.9～2010.3，北京师范大学，信息科学与技术学院，博士后；

1998.7～2010.3，北京行政学院，网络信息中心，教师。

四、主要科研项目

国家自然科学基金重大项目子课题：图像视频的群体数据协同结构化表达与处理，2015-2018，负责人；

国家自然科学基金面上项目：流形上的低秩表示及其在图像视频聚类中的应用，2017-2020，负责人；

国家重点基础研究发展计划（973计划）课题：物联网信息整合与交互的理论和方法，2011-2013，学术骨干；

国家科技支撑计划项目：面向水质监测预警的可视化及会商系统的设计与实现，2012-2014，学术骨干；

国家自然科学基金项目：基于三维视频的人脸表情识别研究，2011-2016，负责人；

国家自然基金重点项目：颅面形态学与颅面重构，2008-2011，学术骨干；

北京市科技计划课题：基于视频实时仿真技术的城市道路交通监视技术研究与示范，2017-2018，负责人；

北京市自然科学基金面上项目：概率张量分解方法及其在RGB-D序列数据表示中的应用，2016-2018，负责人；

北京市自然科学基金项目：融合几何和纹理动态特征的三维人脸表情识别研究，2013-2015，学术骨干；

中国博士后科学基金：三维稠密表面数据非刚性配准方法研究，2008-2009，负责人。

五、代表性成果

期刊论文：

1.Haoran Chen, YanfengSun, Junbin Gao, Yongli Hu, Baocai Yin. Solving Partial LeastSquares Regression via Manifold Optimization Approaches. IEEETransactions on Neural Networks and Learning Systems (IEEE TNNLS)(Accepted).

2.Boyue Wang, YongliHu, Junbin Gao, Yanfeng Sun, Baocai Yin. Localized LRR on GrassmannManifolds: An Extrinsic View. IEEE Transactions on Circuits andSystems for Video Technology (IEEE TCSVT) (online).

3.Boyue Wang, YongliHu, Junbin Gao, Yanfeng Sun, Baocai Yin. Partial Sum Minimization ofSingular Values Representation on Grassmann Manifolds. ACMTransactions on Knowledge Discovery from Data (ACM TKDD) 12(1):13, 2018.

4.Fujiao Ju, YanfengSun, Junbin Gao, Yongli Hu, Baocai Yin. Vectorial DimensionReduction for Tensors Based on Bayesian Inference. IEEE Transactionson Neural Networks and Learning Systems (IEEE TNNLS)(Accepted).

5.Boyue Wang, YongliHu, Junbin Gao, Muhammad Ali, David Tien, Yanfeng Sun, Baocai Yin. Low RankRepresentation on SPD Matriceswith Log-Euclidean Metric. PatternRecognition (PR), 76: 623-634, 2018.

6.Boyue Wang, YongliHu, Junbin Gao, Yanfeng Sun, Baocai Yin. Laplacian LRR on ProductGrassmannManifolds for Human Activity Clustering in Multi-Camera Video Surveillance. IEEETransactions on Circuits and Systems for Video (IEEE TCSVT), 27(3):554-566, 2017.

7.Fujiao Ju, YanfengSun, Junbin Gao and Yongli Hu. Nonparametric Tensor DictionaryLearning with Beta Process Priors. Neurocomputing， 218: 120-130, 2016

8.Fei Wu, YongLiHu, YanFeng Sun, Junbin Gao, BaocaiYin. Ordered Subspace Clustering withBlock-diagonal Priors. IEEE Transactions on Cybernetics (IEEE TCYB),46(12): 3209-3219, 2016.

9.Xinglin Piao, YongZhang, Tingshu Li, Yongli Hu, Hao Liu, Ke Zhang, Yun Ge. RSSFingerprint Based Indoor Localization Using Sparse Representation withSpatio-Temporal Constraint. Sensors, 16(11): 1845, 2016.

10.Fujiao Ju, YanfengSun, Junbin Gao, Yongli Hu. Image OutlierDetection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA.IEEETransactions on Image Processing (IEEE TIP), 24(12): 4834-4846, 2015.

11.Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin, Junbin Gao.Correlated Spatio-temporal Data Collection in Wireless Sensor Networks Based onLow Rank Matrix Approximation and Optimized Node Sampling. Sensors,14(12): 23137-23158, 2014.

12.Sun Yanfeng, Jia Huajie, Hu Yongli, Yin Baocai. Color FaceRecognition Based on Color Image Correlation Similarity DiscriminantModel. Multimedia Tools and Applications, 73(3): 2063-2079,2014.

13.Hengliang Tang, Baocai Yin, Yanfeng Sun, Yongli Hu. 3D FaceRecognition Using Local Binary Patterns. Signal Processing,93(8): 2190-2198, 2013.

14.Yongli Hu, Fuqing Duan, BaocaiYin, Mingquan Zhou, Yanfeng Sun, Zhongke Wu, Guohua Geng. A Hierarchical DenseDeformable Model for 3D Face Reconstruction from Skull. MultimediaTools and Applications, 64(2):345-364, 2013.

15.Yongli Hu, Wei Zhou, ZhengWen, Yanfeng Sun, Baocai Yin. Efficient Radio Map Construction Based onLow-Rank Approximation for Indoor Positioning. Mathematical Problemsin Engineering, 461089 :1-9, 2013.

16.Yongli Hu, FuqingDuan,Mingquan Zhou, Yanfeng Sun, Baocai Yin. Craniofacial Reconstruction Based on aHierarchical Dense Deformable Model. EURASIP Journal on Advances inSignal Processing, 217:1-14, 2012.

会议论文：

1.Boyue Wang, YongliHu, JunbinGao, Yanfeng Sun and Baocai Yin. Cascaded Low Rank and SparseRepresentation onGrassmann Manifolds. The 27th International JointConference on Artificial Intelligence (IJCAI'2018), Stockholm, Sweden,July 13-19, 2018.

2.Xiangjie Hu, YanfengSun, Junbin Gao, Yongli Hu and Baocai Yin, Locality PreservingProjection Based on F-norm, The 32th Association of the Advance ofArtificial Intelligence(AAAI’2018), New Orleans, Louisiana, USA,February 2–7, 2018.

3.Boyue Wang, YongliHu, Junbin Gao, Yanfeng Sun, Haoran Chen and Baocai Yin. LocalityPreserving Projections for Grassmann manifold. The 26th InternationalJoint Conference on Artificial Intelligence (IJCAI’2017), Melbourne,Australia, August 2017, pp2893-2900.

4.Simeng Liu, YanfengSun, Yongli Hu, Junbin Gao, Fujiao Ju and Baocai Yin. MatrixVariate RBM Model with Gaussian Distributions. 2017 InternationalJoint Conference on Neural Networks (IJCNN’2017), Anchorage, Alaska,USA, May 2017, pp808-815.

5.Fujiao Ju, YanfengSun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin. Mixture ofBilateral-Projection Two-dimensional Probabilistic Principal ComponentAnalysis. The 29th IEEE Conference on Computer Vision and PatternRecognition (CVPR’2016), LasVegas, USA, June 2016.

6.Boyue Wang, YongliHu, Junbin Gao, Yanfeng Sun, Baocai Yin. Product Grassmann ManifoldRepresentation and Its LRR Models. The 30th AAAI Conference onArtificial Intelligence (AAAI’2016), Phoenix, USA, February 2016.

7.Guanglei Qi,YanfengSun, Junbin Gao, Yongli Hu, Jinghua Li. Matrix VariateRestricted Boltzmann Machine. 2016 International Joint Conference onNeural Networks (IJCNN’2016), Vancouver, Canada, July 2016.

8.Boyue Wang, YongliHu, Junbin Gao, Yanfeng Sun, Baocai Yin. Low Rank Representation onGrassmann Manifolds. The 12th Asian Conference on ComputerVision(ACCV’ 2014), Singapore, Nov. 2014.

9.Xien Liu, YanfengSun, Yongli Hu, Baocai Yin. A Robust Sparse RepresentationFramework for Depth Map Restoration. 2013 IEEE InternationalConference on Multimedia and Expo (ICME’2013), San Jose, California,USA, July 2013.

10.Wenyu Qin, Yongli Hu, Yanfeng Sun, Baocai Yin. An AutomaticMulti-sample 3D Face Registration Method Based On Thin Plate Spline AndDeformable Model. 2012 IEEE International Conference on Multimediaand Expo (ICME’2012), Melbourne, Australia, July 2012.

联系方式：

工作电话：010-67396568-1255

E-mail：huyongli@bjut.edu.cn

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