卢志武

卢志武博士,中国人民大学信息学院副教授,博士生导师。2005年7月毕业于北京大学数学科学学院信息科学系,获理学硕士学位;2011年3月毕业于香港城市大学计算机系,获PhD学位。主要研究方向包括机器学习、计算机视觉等。主持国家自然科学基金、北京市自然科学基金等多个科研项目。已经发表50多篇学术论文,其中在PAMI、IJCV、TIP、TCYB、TGRS等重要国际期刊和IJCAI、AAAI、ICCV、CVPR、ECCV等重要国际会议上发表论文30余篇。获PAMI 2017年2月最受欢迎论文、计算机图形学国际会议CGI 2014最佳论文奖、国际评测ImageNet 2015视频检测第2名、2015年IBM SUR Award等。担任IJCAI 2017、IJCAI 2015、IJCAI 2013、ICCV 2013等国际顶级会议的程序委员。

详细>>

电子邮箱:luzhiwu[AT]ruc.edu.cn

详细资料

工作经历

2013年9月—现在,中国人民大学信息学院,副教授

2011年5月—2013年7月,北京大学计算机所,助理研究员

研究方向

机器学习,计算机视觉,机器学习在交叉学科中的应用

讲授课程

研究生课:《统计机器学习》

本科生课:《分布式系统与云计算》,《统计学习》

对学生的培养要求

扎实的数学功底,对研究有浓厚兴趣,较好的动手能力。

学生去向:张如琪(Cornell),袁文武(用友),邹婧琳(GrowingIO),牛玉磊(Columbia)

科研项目

国家自然科学基金面上项目,噪声环境下的弱监督图像语义分割研究,2016.01-2019.12,主持

中国人民大学预研委托项目(团队基金),噪声环境下的弱监督图像语义分割关键问题研究,2015.01-2017.12,主持

国家自然科学基金青年项目,基于图的半监督学习关键问题研究及其在图像理解中的应用,2013.01-2015.12,主持

北京市自然科学基金面上项目,基于稀疏表示的半监督学习新方法及应用研究,2013.01-2015.12,主持

科研成果

(一)代表性期刊论文:

Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, and Xin Gao, Learning from Weak and Noisy Labels for Semantic Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 3, pp. 486-500, 2017. (CCF A, 计算机视觉顶级期刊)

Aoxue Li, Zhiwu Lu*, Liwei Wang, Peng Han, and Ji-Rong Wen, Large Scale Sparse Learning from Noisy Tags for Semantic Segmentation, IEEE Transactions on Cybernetics (TCYB), DOI: 10.1109/TCYB.2016.2631528, 2017. (*corresponding author)

Aoxue Li, Zhiwu Lu*, Liwei Wang, Tao Xiang, and Ji-Rong Wen, Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing (TGRS), DOI: 10.1109/TGRS.2017.2689071, 2017. (*corresponding author)

Xuefeng Cui, Zhiwu Lu, Sheng Wang, Jim Jing-Yan Wang, and Xin Gao, CMsearch: simultaneous exploration of protein sequence space and structure space improves not only protein homology detection but also protein structure prediction, Bioinformatics, vol. 32, no. 12, pp. i332-i340, 2016.

Zhiwu Lu, Peng Han, Liwei Wang, and Ji-Rong Wen, Semantic Sparse Recoding of Visual Content for Image Applications, IEEE Transactions on Image Processing (TIP), vol. 24, no. 1, pp. 176-188, 2015. (CCF A, 图像处理顶级期刊)

Zhiwu Lu and Liwei Wang, Learning Descriptive Visual Representation for Image Classification and Annotation, Pattern Recognition (PR), vol. 48, no. 2, pp. 498-508, 2015.

Zhiwu Lu and Liwei Wang, Noise-Robust Semi-Supervised Learning via Fast Sparse Coding, Pattern Recognition (PR), vol. 48, no. 2, pp. 605-612, 2015.

Liuyang Zhou, Zhiwu Lu, Howard Leung, and Lifeng Shang, Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval, The Visual Computer, vol. 30, no. 6-8, pp. 845-854, 2014. (Special Issue on CGI 2014, 最佳论文奖)

Zhiwu Lu and Yuxin Peng, Exhaustive and Efficient Constraint Propagation: A Graph-Based Learning Approach and Its Applications, International Journal of Computer Vision (IJCV), vol. 103, no. 3, pp. 306-325, 2013. (CCF A, 计算机视觉顶级期刊)

Zhiwu Lu and Yuxin Peng, Latent Semantic Learning with Structured Sparse Representation for Human Action Recognition, Pattern Recognition (PR), vol. 46, no. 7, pp. 1799-1809, 2013.

Zhiwu Lu, Horace H.S. Ip, and Yuxin Peng, Contextual Kernel and Spectral Methods for Learning the Semantics of Images, IEEE Transactions on Image Processing (TIP), vol. 20, no. 6, pp. 1739-1750, 2011. (CCF A, 图像处理顶级期刊)

Zhiwu Lu and Horace H.S. Ip, Spatial Markov Kernels for Image Categorization and Annotation, IEEE Transactions on Systems, Man, and Cybernetics - Part B (TSMC-B), vol. 41, no. 4, pp. 976-989, 2011.

Zhiwu Lu and Horace H.S. Ip, Combining Context, Consistency, and Diversity Cues for Interactive Image Categorization, IEEE Transactions on Multimedia (TMM), vol. 12, no. 3, pp. 194-203, 2010.

Zhiwu Lu and Horace H.S. Ip, Generalized Competitive Learning of Gaussian Mixture Models, IEEE Transactions on Systems, Man, and Cybernetics - Part B (TSMC-B), vol. 39, no. 4, pp. 901-909, 2009.

(二)代表性会议论文:

Yulei Niu, Zhiwu Lu*, Songfang Huang, Xin Gao, and Ji-Rong Wen, FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation, AAAI Conference on Artificial Intelligence (AAAI), San Francisco, California, USA, 2017. (CCF A, *corresponding author)

Ruqi Zhang and Zhiwu Lu*, Large-Scale Sparse Clustering, International Joint Conference on Artificial Intelligence (IJCAI), New York, USA, 2016. (CCF A, *corresponding author)

Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, and Songfang Huang, Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding, AAAI Conference on Artificial Intelligence (AAAI), Austin, Texas, USA, 2015. (CCF A)

Yulei Niu, Zhiwu Lu*, Songfang Huang, Peng Han, and Ji-Rong Wen, Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing, International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015. (CCF A, *corresponding author)

Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, and Ji-Rong Wen, Social Image Parsing by Cross-Modal Data Refinement, International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015. (CCF A)

Zhiwu Lu, Liwei Wang, and Ji-Rong Wen, Direct Semantic Analysis for Social Image Classification, AAAI Conference on Artificial Intelligence (AAAI), Quebec City, Canada, 2014. (CCF A)

Zhiwu Lu and Yuxin Peng, Learning Descriptive Visual Representation by Semantic Regularized Matrix Factorization, International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013. (CCF A)

Zhiwu Lu and Yuxin Peng, Unified Constraint Propagation on Multi-View Data, AAAI Conference on Artificial Intelligence (AAAI), Bellevue, Washington, USA, 2013. (CCF A)

Zhiwu Lu and Yuxin Peng, Image Annotation by Semantic Sparse Recoding of Visual Content, ACM International Conference on Multimedia (ACM-MM), pp. 499-508, Nara, Japan, 2012. (CCF A, Oral Long Paper)

Zhiwu Lu and Yuxin Peng, Heterogeneous Constraint Propagation with Constrained Sparse Representation, IEEE International Conference on Data Mining (ICDM), pp. 1002-1007, Brussels, Belgium, 2012.

Zhiwu Lu, Yuxin Peng, and Horace H.S. Ip, Spectral Learning of Latent Semantics for Action Recognition, International Conference on Computer Vision (ICCV), pp. 1503-1510, Barcelona, Spain, 2011. (CCF A)

Zhiwu Lu and Yuxin Peng, Latent Semantic Learning by Efficient Sparse Coding with Hypergraph Regularization, AAAI Conference on Artificial Intelligence (AAAI), pp. 411-416, San Francisco, California, USA, 2011. (CCF A)

Zhenyong Fu, Zhiwu Lu*, Horace H.S. Ip, Yuxin Peng, and Hongtao Lu, Symmetric Graph Regularized Constraint Propagation, AAAI Conference on Artificial Intelligence (AAAI), pp. 350-355, San Francisco, California, USA, 2011. (CCF A, *corresponding author)

Zhenyong Fu, Horace H.S. Ip, Hongtao Lu, and Zhiwu Lu, Multi-Modal Constraint Propagation for Heterogeneous Image Clustering, ACM International Conference on Multimedia (ACM-MM), pp. 143-152, Scottsdale, Arizona, USA, 2011. (CCF A, Oral Long Paper)

Zhiwu Lu and Horace H.S. Ip, Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation, European Conference on Computer Vision (ECCV), pp. 1-14, Heraklion, Crete, Greece, 2010. (Oral Long Paper, acceptance rate = 3.3%)

Zhiwu Lu and Horace H.S. Ip, Image Categorization with Spatial Mismatch Kernels, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 397-404, Miami, Florida, USA, 2009. (CCF A)

Zhiwu Lu and Horace H.S. Ip, Image Categorization by Learning with Context and Consistency, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2719-2726, Miami, Florida, USA, 2009. (CCF A)

Zhiwu Lu, Yuxin Peng, and Jianguo Xiao, From Comparing Clusterings to Combining Clusterings, AAAI Conference on Artificial Intelligence (AAAI), pp. 665-670, Chicago, Illinois, USA, 2008. (CCF A)

Zhiwu Lu, Yuxin Peng, and Jianguo Xiao, Unsupervised Learning of Finite Mixtures Using Entropy Regularization and Its Application to Image Segmentation, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, Anchorage, Alaska, USA, 2008. (CCF A)

社会兼职

Reviewer for IJCV, IEEE TIP, IEEE TMM, IEEE TNNLS, IEEE TSMC-B, IEEE TKDE, ACM TOIS, ACM TOMCCAP, Pattern Recognition, Neurocomputing

PC Member of IJCAI 2017, IJCAI 2015, ICONIP 2014, IJCAI 2013, ICCV 2013

Member of CCF, ACM, IEEE, AAAI

荣誉获奖

PAMI 2017年2月最受欢迎论文

计算机图形学国际会议CGI 2014最佳论文奖

国际评测ImageNet 2015视频检测第2名

IJCAI-15竞赛(Repeat Buyers Prediction)第4名

2015年IBM SUR Award

中国人民大学2015届优秀学士学位论文指导老师