胡永利  

一、个人基本情况

胡永利,男,博士,北京工业大学教授、博士生导师,北京工业大学信息学部人工智能与自动化学院教师,多媒体与智能软件技术北京市重点实验室、北京人工智能研究院研究员,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,中国人工智能学会会员,中国自动化学会会员。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,2018 年获北京市高层次创新人才支持计划领军人才。2017赴美国卡耐基梅隆大学访问一年。

长期从事模式识别、图像处理、计算机视觉、人机交互、大数据挖掘、跨媒体智能和智能交通等方面的研究工作。作为项目负责人主持国家自然科学基金联合基金重点项目、国家自然科学基金面上项目、北京市科技计划项目、北京市自然科学基金项目等10余项国家级和省部级研究项目。共发表学术论文110余篇,包括IEEE/ACM汇刊IEEE TCYBTNNLSTIPTCSVTTMMACM TKDD和顶级国际会议CVPRAAAIIJCAIACM MM论文30余篇。获国家发明专利20余项。获2020年吴文俊人工智能科技进步奖一等奖,2020年青岛市科技进步二等奖,2017首届水下机器人目标抓取大赛二等奖,2018水下机器人目标抓取大赛二等奖,2020全国水下机器人目标抓取大赛优秀奖。

二、学习经历

2000.92005.6,北京工业大学,计算机学院,获工学博士学位;

1995.91998.7,首都师范大学,数学系,获理学硕士学位;

1991.91995.7,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;

2013.122016.12,北京工业大学,城市交通学院,教师;

2010.42013.12,北京工业大学,计算机学院,教师;

2007.92010.3,北京师范大学,信息科学与技术学院,博士后;

1998.72010.3,北京行政学院,网络信息中心,教师。

四、主要科研项目

[1]      国家自然科学基金联合基金重点项目:面向城市态势监测的跨媒体数据分析与推理关键技术研究,2020-2024,负责人;

[2]      国家自然科学基金重大项目子课题:城市交通出行规律挖掘与演化分析,2019-2022,负责人;

[3]      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;

[4]      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;

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

[6]      北京市科技计划项目: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;

[7]      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;

[8]      北京市教委科技计划项目:基于RGB-D序列深度学习的人体行为识别方法研究,2015-2017,负责人;

[9]      北京市百千万人才工程项目:流形上的深度学习方法研究,2017-2020,负责人;

[10]   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

l  期刊论文:

1.     Jingcheng Wang, Yong Zhang, Yun Wei, Yongli Hu, Xinglin Piao, Baocai Yin. Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), doi: 10.1109/TITS.2021.3072743.

2.     Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. A Decoder-Free Variational Deep Embedding for Unsupervised Clustering, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), doi: 10.1109/TNNLS.2021.3071275.

3.     Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), doi: 10.1109/TNNLS.2021.3071797.

4.     Yongli Hu, Zuolong Song, Boyue Wang, Junbin Gao, Yanfeng Sun and Baocai Yin. AKM3C: Adaptive K-Multiple-Means for Multi-view Clustering, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), doi: 10.1109/TCSVT.2020.3049005.

5.     Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju and Baocai Yin. Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering, IEEE Transactions on Multimedia (IEEE TMM), vol. 23, pp. 216-227, 2021, doi: 10.1109/TMM.2020.2975394.

6.     Kan Guo, Yongli Hu, Zhen Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin, Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), vol. 22, no. 2, pp. 1138-1149, Feb. 2021, doi: 10.1109/TITS.2019.2963722.

7.     Kan Guo, Yongli Hu, Zhen Qian, Yanfeng Sun, Junbin Gao, Baocai Yin. Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), doi: 10.1109/TITS.2020.3019497.

8.     Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin. Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), doi: 10.1109/TNNLS.2020.3011717.

9.     Jiaming Zhang, Jitao Sang, Kaiyuan Xu, Shangxi Wu, Xian Zhao, Yanfeng Sun, Yongli Hu, Jian Yu. Robust CAPTCHAs towards Malicious OCR, IEEE Transactions on Multimedia (IEEE TMM), doi: 10.1109/TMM.2020.3013376.

10.   Yadong Yu, Yong Zhang, Sean Qian, Shaofan Wang, Yongli Hu, Baocai Yin. A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), doi: 10.1109/TITS.2020.2994910.

11.   Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin. Probabilistic Linear Discriminant Analysis Based on L-Norm and Its Bayesian Variational Inference, IEEE Transactions on Cybernetics (IEEE TCYB), doi: 10.1109/TCYB.2020.2985997.

12.   Xia Zhao, Yong Zhang, Yongli Hu, Shun Wang, Yunhui Li, Sean Qian, Baocai Yin. Interactive Visual Exploration of Human Mobility Correlation Based on Smart Card Data, IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), doi: 10.1109/TITS.2020.2983853.

13.   Kan Guo, Yongli Hu, Sean Qian, Yanfeng Sun, Junbin Gao, Baocai Yin. An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting, IEEE Intelligent Transportation Systems Magazine (IEEE ITSM), doi: 10.1109/MITS.2019.2962138.

14.   Xia Zhao, Yong Zhang, Yongli Hu, Sean Qian, Hao Liu, Baocai Yin. Modeling Relation Proximity of Passengers Using Public Transit Smart Card Data, IEEE Intelligent Transportation Systems Magazine (IEEE ITSM), doi: 10.1109/MITS.2019.2962145.

15.   Yang Wang, Yong Zhang, Zhen Qian, Shaofan Wang, Yongli Hu, Baocai Yin. Multi-source Traffic Data Reconstruction Using Joint Low-rank and Fundamental Diagram Constraints, IEEE Intelligent Transportation Systems Magazine (IEEE ITSM), vol. 11, no. 3, pp. 221-234, Fall 2019, doi: 10.1109/MITS.2019.2919529.

16.   Xia Zhao, Yong Zhang, Hao Liu, Shaofan Wang, Zhen Qian, Yongli Hu, Baocai Yin. Detecting Pickpocketing Gangs on Buses with Smart Card Data, IEEE Intelligent Transportation Systems Magazine (IEEE ITSM), vol. 11, no. 3, pp. 181-199, Fall 2019, doi: 10.1109/MITS.2019.2919525.

17.   Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, and Baocai Yin. 2020. Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint.  ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 14(6):1-20, Article 75 (2020). DOI:https://doi.org/10.1145/3409478

18.   Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Solving Partial Least Squares Regression via Manifold Optimization Approaches. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 30, no. 2, pp. 588-600, Feb. 2019, doi: 10.1109/TNNLS.2018.2844866.

19.   Haoran Chen, Jinghua Li, Junbin Gao, Yanfeng Sun, Yongli Hu, and Baocai Yin. 2019. Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning. ACM Transactions on Knowledge Discovery from Data (ACM TKDD) ,13(4), Article 39 (August 2019), 17 pages. DOI: https://doi.org/10.1145/3332183

20.   Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Localized LRR on Grassmann Manifolds: An Extrinsic View. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT) , 28(10): 2524 - 2536 , 2018.

21.   Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. ACM Transactions on Knowledge Discovery from Data (ACM TKDD) 12(1): 13,  2018.

22.   Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor DataIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 30, no. 10, pp. 2938-2950, Oct. 2019, doi: 10.1109/TNNLS.2019.2901309

23.   Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol. 29, no. 10, pp. 4579-4592, Oct. 2018, doi: 10.1109/TNNLS.2017.2739131.

24.   Boyue Wang, Yongli Hu, Junbin Gao, Muhammad Ali, David Tien, Yanfeng Sun, Baocai Yin. Low Rank Representation on SPD Matrices with Log-Euclidean Metric. Pattern Recognition (PR), 76: 623-634, 2018.

25.   Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Laplacian LRR on Product GrassmannManifolds for Human Activity Clustering in Multi-Camera Video Surveillance. IEEE Transactions on Circuits and Systems for Video (IEEE TCSVT), 27(3): 554-566, 2017.

26.   Fujiao Ju, Yanfeng Sun, Junbin Gao and Yongli Hu. Nonparametric Tensor Dictionary Learning with Beta Process Priors. Neurocomputing 218: 120-130, 2016

27.   Fei Wu, YongLi Hu, YanFeng Sun, Junbin Gao, BaocaiYin. Ordered Subspace Clustering with Block-diagonal Priors. IEEE Transactions on Cybernetics (IEEE TCYB), 46(12): 3209-3219, 2016.

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

29.   Sun Yanfeng, Jia Huajie, Hu Yongli, Yin Baocai. Color Face Recognition Based on Color Image Correlation Similarity Discriminant Model. Multimedia Tools and Applications, 73(3): 2063-2079, 2014.

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

31.   Yongli Hu, Fuqing Duan, Baocai Yin, Mingquan Zhou, Yanfeng Sun, Zhongke Wu, Guohua Geng. A Hierarchical Dense Deformable Model for 3D Face Reconstruction from Skull. Multimedia Tools and Applications, 64(2):345-364, 2013.

32.   Yongli Hu, FuqingDuan, Mingquan Zhou, Yanfeng Sun, Baocai Yin. Craniofacial Reconstruction Based on a Hierarchical Dense Deformable Model. EURASIP Journal on Advances in Signal Processing, 217:1-14, 2012.

l  会议论文:

1.      Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin. Hierarchical Graph Convolution Network for Traffic Forecasting, The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI’2021), February 2-9, 2021

2.      Jiaming Zhang, Jitao Sang, Xian Zhao, Xiaowen Huang, Yanfeng Sun, and Yongli Hu. Adversarial Privacy-preserving Filter. The 28th ACM International Conference on Multimedia (ACM MM’2020). New York, NY, USA, 1423–1431, 2020. DOI:https://doi.org/10.1145/3394171.3413906

3.      Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin, Wenwu Zhu, Ge Li. Kernel Clustering on Symmetric Positive Definite Manifolds via Double Approximated Low Rank Representation, 2020 IEEE International Conference on Multimedia and Expo (ICME’2020), London, UK, 2020, pp. 1-6, doi: 10.1109/ICME46284.2020.9102821.

4.      Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin. Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. The 18th Asian Conference on Computer Vision (ACCV’2020): 562-577

5.      Jipeng Guo, Shuai Yin, Yanfeng Sun, Yongli Hu. Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation. The 25th International Conference on Pattern Recognition (ICPR’2020), Virtual Milano, Italy, January 10-15, 2021: 901-906

6.      Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin. Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. The 25th International Conference on Pattern Recognition (ICPR’2020), Virtual Milano, Italy, January 10-15, 2021: 907-914

7.      Qiang Ji, Yanfeng Sun, Yongli Hu, Baocai Yin. Variational Deep Embedding Clustering by Augmented Mutual Information Maximization. The 25th International Conference on Pattern Recognition (ICPR’2020), Virtual Milano, Italy, January 10-15, 2021: 2196-2202

8.      Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. The 25th International Conference on Pattern Recognition (ICPR’2020), Virtual Milano, Italy, January 10-15, 2021: 8352-8359

9.      Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin. A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. The 25th International Conference on Pattern Recognition (ICPR’2020), Virtual Milano, Italy, January 10-15, 2021: 9392-9398

10.    Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’2019), Long Beach, CA, USA, 2019, pp. 12067-12076, doi: 10.1109/CVPR.2019.01235.

11.    Tianhang Long, Junbin Gao, Mingyan Yang, Yongli Hu, Baocai Yin. Locality Preserving Projection via Deep Neural Network, 2019 International Joint Conference on Neural Networks (IJCNN’2019), Budapest, Hungary, 2019, pp. 1-8, doi: 10.1109/IJCNN.2019.8852218.

12.    Boyue Wang, Yongli Hu, JunbinGao, Yanfeng Sun and Baocai Yin. Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. The 27th International Joint Conference on Artificial Intelligence (IJCAI'2018), Stockholm, Sweden, July 13-19, 2018.

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

14.    Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen and Baocai Yin. Locality Preserving Projections for Grassmann manifold. The 26th International Joint Conference on Artificial Intelligence (IJCAI’2017), Melbourne, Australia, August 2017, pp2893-2900.

15.    Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju and Baocai Yin. Matrix Variate RBM Model with Gaussian Distributions. 2017 International Joint Conference on Neural Networks (IJCNN’2017), Anchorage, Alaska, USA, May 2017, pp808-815.

16.    Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin. Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. The 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR’2016), LasVegas, USA, June 2016.

17.    Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Product Grassmann Manifold Representation and Its LRR Models. The 30th AAAI Conference on Artificial Intelligence (AAAI’2016), Phoenix, USA, February 2016.

18.    Guanglei Qi, YanfengSun, Junbin Gao, Yongli Hu, Jinghua Li. Matrix Variate Restricted Boltzmann Machine. 2016 International Joint Conference on Neural Networks (IJCNN’2016), Vancouver, Canada, July 2016.

19.    Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin. Low Rank Representation on Grassmann Manifolds. The 12th Asian Conference on Computer Vision (ACCV’ 2014), Singapore, Nov. 2014.

20.    Xien Liu, Yanfeng Sun, Yongli Hu, Baocai Yin. A Robust Sparse Representation Framework for Depth Map Restoration. 2013 IEEE International Conference on Multimedia and Expo (ICME’2013), San Jose, California, USA, July 2013.

21.    Wenyu Qin, Yongli Hu, Yanfeng Sun, Baocai Yin. An Automatic Multi-sample 3D Face Registration Method Based on Thin Plate Spline and Deformable Model. 2012 IEEE International Conference on Multimedia and Expo (ICME’2012), Melbourne, Australia, July 2012.

联系方式:

工作电话:010-67396568-1255

E-mailhuyongli@bjut.edu.cn

   欢迎人工智能、计算机、自动化、数学等专业的同学报考本方向硕士和博士研究生!




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