Zhiwu Lu (卢志武)
 
 
I am an associate professor with the School of Information, Renmin University of China, Beijing 100872, China. I 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. I have published over 50 papers in international journals and conference proceedings including TPAMI, IJCV, TIP, TCYB, TGRS, IJCAI, AAAI, ICCV, CVPR, and ECCV. I won the IBM SUR Award 2015 and Best Paper Award at CGI 2014. My team ranked #2 in the VID task of ILSVRC 2015, and ranked #4 (4/700) in IJCAI-15 Competition-Repeat Buyers Prediction. Please contact me by email: zhiwu.lu[at]gmail.com.
 
 
 

Research Interests

  • Machine Learning: semi-supervised learning, sparse learning, deep learning, learning for interdisciplinary applications
  • Computer Vision: representation learning, semantic segmentation, social image analysis, vision in interdisciplinary applications

Selected Journal Papers

  • 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.
  • 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), vol. 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.
  • 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, Best Paper Award)
  • 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. [Code]
  • 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. [Code]
  • 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.
  • 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. [Code] 
Selected Conference Papers
  • 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. (*corresponding author)
  • Ruqi Zhang and Zhiwu Lu*, Large-Scale Sparse Clustering, International Joint Conference on Artificial Intelligence (IJCAI), New York, USA, 2016. (*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. 
  • 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. (*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.
  • 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.
  • Zhiwu Lu and Yuxin Peng, Learning Descriptive Visual Representation by Semantic Regularized Matrix Factorization, International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013.
  • Zhiwu Lu and Yuxin Peng, Unified Constraint Propagation on Multi-View Data, AAAI Conference on Artificial Intelligence (AAAI), Bellevue, Washington, USA, 2013. (Oral)
  • 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. (Oral) [Code]
  • 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. [Code]
  • 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.
  • 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.
  • 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. (*corresponding author) [Code]
  • 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. (Oral)
  • 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, acceptance rate = 3.3%[Code]
  • 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.
  • 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.
  • 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. (Oral) [Code] 
  • 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. [Code
Software Download
  • YouBaby  (佑宝宝): I have recently developed a mobile app on health care for the fetus and also the newborn baby. The latest machine learning teachniques are adopted in this app. Please download it for free by scanning the following barcodes.
                                                                               
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