FACULTY & RESEARCH

Zhiwu Lu
Tenured Associate Professor
Zhiwu Lu received the Master of Science degree in applied mathematics from Peking University in 2005, and the PhD degree in computer science from City University of Hong Kong in 2011. He has published over 70 papers in international journals and conference proceedings including TPAMI, IJCV, TIP, TCYB, TGRS, NeurIPS, AAAI, IJCAI, CVPR, ICCV, and ECCV.

Personal Homepage: http://sites.google.com/site/zhiwulu/

Detailed Information

Education

Ph.D.: 2008-2011, Department of Computer Science, City University of Hong Kong, Hong Kong SAR

Master of Science: 2002-2005, School of Mathematical Science, Peking University, P. R. China

Bachelor of Science: 1998-2002, School of Mathematics and Statistics, Wuhan University, P. R. China


Professional Experience

Full Professor:2019-present,School of Information, Renmin University of China, P. R. China

Associate Professor:2013-2019,School of Information, Renmin University of China, P. R. China

Assistant Professor:2011-2013,Institute of Computer Science and Technology, Peking University, P. R. China


Research Interests

1. Machine Learning: few-shot learning, zero-shot learning, meta learning, graph learning, semi-supervised learning

2. Computer Vision: complex video analysis, visual reasoning, fine-grained object recognition, semantic segmentation


Publications

◾ 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)

◾ 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)

◾ 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)

◾ 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)

◾ 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)

◾ 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)

◾ 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)

◾ 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.

◾ 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)


Services

◾ 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, CVPR 2020

◾ Member of CCF, ACM, IEEE

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