卢志武

卢志武博士,中国人民大学信息学院教授,博士生导师。2017年入选中国人民大学“杰出学者”计划(青年A岗)。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NSFC、KJW等多个国家项目。以主要作者身份发表学术论文70余篇,其中在TPAMI、IJCV、TIP、TCYB、TGRS等重要国际期刊和NeurIPS、AAAI、JCAI、CVPR、ICCV、ECCV等重要国际会议上发表论文40余篇,CCF A类论文25篇,入选ESI高被引论文1篇。获TPAMI 2017年2月最受欢迎论文、深度学习权威评测ImageNet 2015视频检测任务亚军、2015年IBM SUR Award、计算机图形学国际会议CGI 2014最佳论文奖等。担任CCF生物信息学专委会委员。担任NeurIPS、ICML、ICCV、CVPR、AAAI、IJCAI、UAI等国际顶级会议的程序委员。

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电子邮箱:luzhiwu[AT]ruc.edu.cn

详细资料

工作经历

2019年9月—现在,中国人民大学信息学院,教授

2013年9月—2019年8月,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:小样本学习,元学习,图学习,半监督学习

计算机视觉:复杂视频分析,视觉推理,精细识别,语义分割

应用研究:医疗,安防,金融,工业

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(2016,Cornell),韩鹏(2017,KAUST),袁文武(2017,用友),邹婧琳(2017,GrowingIO),胡君(2019,航天信息),胡元行(2019,工行)

科研项目

◾ 国家自然科学基金面上项目,小样本学习关键问题研究,2020.01-2023.12,62万(直接经费),主持

◾ KJW主题项目,基于知识分类的复杂目标渐近识别,2018.11-2020.04,120万,主持

◾ 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,2016.01-2019.12,66万(直接经费),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,2015.01-2017.12,90万,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,2013.01-2015.12,24万,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,2013.01-2015.12,14万,主持

科研成果

(一)代表性期刊论文:

◾ Yulei Niu, Zhiwu Lu*, Ji-Rong Wen, Tao Xiang, and Shih-Fu Chang, Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation, IEEE Transactions on Image Processing (TIP), vol. 28, no. 4, pp. 1720-1731, 2019. (*corresponding author, CCF A, 图像处理顶级期刊)

◾ 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), vol. 48, no. 1, pp. 253-263, 2018. (*corresponding author,ESI高被引论文)

◾ 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 (TPAMI), 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, 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), vo. 55, no. 7, pp. 4157-4167, 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:

◾ Mingyu Ding, An Zhao, Zhiwu Lu*, Tao Xiang, and Ji-Rong Wen, Face-Focused Cross-Stream Network for Deception Detection in Videos, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019. (CCF A, *corresponding author)

◾ Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu*, and Ji-Rong Wen, Recursive Visual Attention in Visual Dialog, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019. (CCF A, *corresponding author)

◾ Aoxue Li, Tiange Luo, Zhiwu Lu*, Tao Xiang, and Liwei Wang, Large-Scale Few-Shot Learning: Knowledge Transfer with Class Hierarchy, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019. (CCF A, *corresponding author)

◾Yuqi Huo, Yao Lu, Yulei Niu, Zhiwu Lu*, and Ji-Rong Wen, Coarse-to-Fine Grained Classification, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 2019. (CCF A, *corresponding author)

◾ An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu*, Tao Xiang, and Ji-Rong Wen, Domain-Invariant Projection Learning for Zero-Shot Recognition, Thirty-Second Annual Conference on Neural Information Processing Systems (NIPS), Montréal, Canada, 2018. (CCF A, *corresponding author)

◾ 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 IEEE TPAMI, IJCV, IEEE TIP, IEEE TMM, IEEE TNNLS, IEEE TKDE, TOIS

◾ PC Member of NeurIPS 2019, ICML 2019, ICCV 2019, CVPR 2019, IJCAI 2019, UAI 2019, AAAI 2020

◾ Member of CCF, ACM, IEEE

荣誉获奖

◾ ICONIP 2018最佳学生论文奖亚军

◾ TPAMI 2017年2月最受欢迎论文

◾ 深度学习权威评测ImageNet 2015视频检测任务亚军

◾ 2015年IBM SUR Award

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

◾ 中国人民大学2015届优秀学士学位论文指导老师

◾ 计算机图形学国际会议CGI 2014最佳论文奖