北京工業(yè)大學(xué)信息學(xué)部控制科學(xué)與工程研究生導(dǎo)師胡永利介紹如下：

一、個(gè)人基本情況

胡永利，博士、教授、博士生導(dǎo)師。北京工業(yè)大學(xué)信息學(xué)部自動(dòng)化學(xué)院教師，“多媒體與智能軟件技術(shù)”北京市重點(diǎn)實(shí)驗(yàn)室研究人員。國(guó)際電氣和電子工程師協(xié)會(huì)IEEE會(huì)員，中國(guó)計(jì)算機(jī)學(xué)會(huì)CCF會(huì)員。

長(zhǎng)期從事模式識(shí)別、圖像處理、計(jì)算機(jī)視覺(jué)、人機(jī)交互、虛擬現(xiàn)實(shí)和大數(shù)據(jù)挖掘等方面的研究工作。作為項(xiàng)目負(fù)責(zé)人和學(xué)術(shù)骨干主持和承擔(dān)10余項(xiàng)國(guó)家級(jí)和省部級(jí)項(xiàng)目的研究工作，包括國(guó)家973計(jì)劃項(xiàng)目、國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目、北京市科技計(jì)劃項(xiàng)目、北京市自然科學(xué)基金項(xiàng)目等。共發(fā)表學(xué)術(shù)論文70余篇，包括IEEE會(huì)刊TCYB、TNNLS、TIP、TCSVT和頂級(jí)國(guó)際會(huì)議AAAI、IJCAI、CVPR的論文。獲國(guó)家發(fā)明專(zhuān)利10余項(xiàng)。

2015年入選北京市高等學(xué)校創(chuàng)新團(tuán)隊(duì)-交通大數(shù)據(jù)處理學(xué)術(shù)創(chuàng)新團(tuán)隊(duì)。2016年入選北京未來(lái)網(wǎng)絡(luò)科技高精尖創(chuàng)新中心交通視頻大數(shù)據(jù)分析處理團(tuán)隊(duì)。2017年入選北京市百千萬(wàn)人才工程。2017年赴美國(guó)卡耐基梅隆大學(xué)交流訪(fǎng)問(wèn)1年。獲2017首屆水下機(jī)器人目標(biāo)抓取大賽二等獎(jiǎng)。

二、學(xué)習(xí)經(jīng)歷

2000.9～2005.6，北京工業(yè)大學(xué)，計(jì)算機(jī)學(xué)院，獲工學(xué)博士學(xué)位；

1995.9～1998.7，首都師范大學(xué)，數(shù)學(xué)系，獲理學(xué)碩士學(xué)位；

1991.9～1995.7，西北大學(xué)，數(shù)學(xué)系，獲理學(xué)學(xué)士學(xué)位。

三、工作經(jīng)歷

2017.1～至今，北京工業(yè)大學(xué)，信息學(xué)部，教師；

2013.12～2016.12，北京工業(yè)大學(xué)，城市交通學(xué)院，教師；

2010.4～2013.12，北京工業(yè)大學(xué)，計(jì)算機(jī)學(xué)院，教師；

2007.9～2010.3，北京師范大學(xué)，信息科學(xué)與技術(shù)學(xué)院，博士后；

1998.7～2010.3，北京行政學(xué)院，網(wǎng)絡(luò)信息中心，教師。

四、主要科研項(xiàng)目

國(guó)家自然科學(xué)基金重大項(xiàng)目子課題：圖像視頻的群體數(shù)據(jù)協(xié)同結(jié)構(gòu)化表達(dá)與處理，2015-2018，負(fù)責(zé)人；

國(guó)家自然科學(xué)基金面上項(xiàng)目：流形上的低秩表示及其在圖像視頻聚類(lèi)中的應(yīng)用，2017-2020，負(fù)責(zé)人；

國(guó)家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃（973計(jì)劃）課題：物聯(lián)網(wǎng)信息整合與交互的理論和方法，2011-2013，學(xué)術(shù)骨干；

國(guó)家科技支撐計(jì)劃項(xiàng)目：面向水質(zhì)監(jiān)測(cè)預(yù)警的可視化及會(huì)商系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)，2012-2014，學(xué)術(shù)骨干；

國(guó)家自然科學(xué)基金項(xiàng)目：基于三維視頻的人臉表情識(shí)別研究，2011-2016，負(fù)責(zé)人；

國(guó)家自然基金重點(diǎn)項(xiàng)目：顱面形態(tài)學(xué)與顱面重構(gòu)，2008-2011，學(xué)術(shù)骨干；

北京市科技計(jì)劃課題：基于視頻實(shí)時(shí)仿真技術(shù)的城市道路交通監(jiān)視技術(shù)研究與示范，2017-2018，負(fù)責(zé)人；

北京市自然科學(xué)基金面上項(xiàng)目：概率張量分解方法及其在RGB-D序列數(shù)據(jù)表示中的應(yīng)用，2016-2018，負(fù)責(zé)人；

北京市自然科學(xué)基金項(xiàng)目：融合幾何和紋理動(dòng)態(tài)特征的三維人臉表情識(shí)別研究，2013-2015，學(xué)術(shù)骨干；

中國(guó)博士后科學(xué)基金：三維稠密表面數(shù)據(jù)非剛性配準(zhǔn)方法研究，2008-2009，負(fù)責(zé)人。

五、代表性成果

期刊論文：

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.

會(huì)議論文：

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.

聯(lián)系方式：

工作電話(huà)：010-67396568-1255

E-mail：huyongli@bjut.edu.cn

歡迎控制、計(jì)算機(jī)、自動(dòng)化、數(shù)學(xué)等相關(guān)專(zhuān)業(yè)的同學(xué)報(bào)考本方向碩士和博士研究生！