LI Wen (李 文)

Ph.D.

Computer Vision Laboratory, ETH Zurich,
Sternwarstrasse 7, CH 8092, Zurich, Switzerland
  
Email: liwenbnu AT gmail DOT com
 
[CV][Google Scholar]


Biography

I am currently working with Prof. Luc Van Gool as a postdoctoral researcher at the Computer Vision Laboratory, ETH Zurich, Switzerland. 
Before this, I was a research associate in the Nanyang Technological University, Singapore, where I obtained my PhD degree under the supervision of Prof. Dong XU. I also worked closely with Prof. Ivor Wai-Hung Tsang during my PhD. I obtained my M.Eng. degree and B.S. degree from the Beijing Normal University, Beijing, China, on 2010 and 2007, respectively.


Recent News
I have move my personal site to http://vision.ee.ethz.ch/~liwenw/. This site will not be maintained. Thanks for your visiting!


Selected Publications

Journal Papers
  1. Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, and Luc Van Gool, “Domain Generalization and Adaptation using Low Rank Exemplar SVMs,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI).
  2. Yan Yan, Feiping Nie, Wen Li, Chenqiang Gao, Yi Yang, and Dong Xu, “Image Classification by Cross-Media Active Learning with Privileged Information,” IEEE Transactions on Multimedia (T-MM), vol. 18(12), pp. 2494-2502, Dec 2016.
  3. Li Niu, Wen Li, Dong Xu, and Jianfei Cai, “An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS).
  4. Li Niu, Wen Li, Dong Xu, and Jianfei Cai, “Visual Recognition by Learning from Web Data via Weakly Supervised Domain Generalization,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS).
  5. Li Niu, Wen Li, and Dong Xu, “Exploiting Privileged Information from Web Data for Action and Event Recognition,” International Journal of Computer Vision (IJCV), vol. 118(2), pp. 130-150, Jun 2016. 
  6. Wen Li*, Xinxing Xu*, Dong Xu, and Ivor Tsang, “Co-Labeling for Multi-view Weakly Labeled Learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 38(6), pp. 1113-1125, Jun 2016. (* contributed equally). 
  7. Xinxing Xu, Wen Li, Dong Xu, “Distance Metric Learning using Privileged Information for Face Verification and Person Re-identification ,” IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 26(12), pp. 3150-3162, Dec 2015.
  8. Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen, and Xuelong Li, “Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance,” IEEE Transactions on Systems, Man, and Cybernetics: Part B (T-SMC-B), vol. 44(12), pp. 2264-2273, Nov 2014.
  9. Wen Li, Lixin Duan, Dong Xu, and Ivor W.H. Tsang, “Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 36(6), pp. 1134-1148, JUN 2014. [Appendix][codes]
  10. Meina Kan, Dong Xu, Shiguang Shan, Wen Li and Xilin Chen, “ Learning Prototype Hyperplanes for Face Recognition in the Wild,” IEEE Transactions on Image Processing(T-IP), vol. 22(8), pp. 3310-3316, AUG 2013.
  11. Lixin Duan, Wen Li, Ivor W.H. Tsang  and Dong Xu, "Improving Web Image Search by Bag-based Re-ranking," IEEE Transactions on Image Processing (T-IP), vol. 20(11), pp. 3280-3290, NOV 2011. [BibTex]
Conference Papers
  1. Yuguang Yan*, Wen Li*, Michael Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, and Qingyao Wu, "Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation." International Joint Conference on Artificial Intelligence (IJCAI), 2017.
  2. Muhammad Ghifary, Bastiaan Kleijn, Mengjie Zhang, David Balduzzi, and Wen Li, “Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation,” European Conference on Computer Vision,(ECCV),2016 (spotlight paper).
  3. Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, and Luc Van Gool, “Fast Algorithms for Linear and Kernel SVM+,” IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2016. [Codes][errata]
  4. Li Niu, Wen Li, and Dong Xu, “Multi-view Domain Generalization for Visual Recognition,” IEEE International Conference on Computer Vision(ICCV), 2015.
  5. Li Niu, Wen Li, and Dong Xu, “Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach,” IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 2774-2783 , 2015.
  6. Shijie Xiao, Wen Li, Dong Xu, and Dacheng Tao, “FaLRR: A Fast Low Rank Representation Solver,” IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 4612-4620, 2015.
  7. Zheng Xu, Wen Li, Li Niu, and Dong Xu, “Exploiting Low-rank Structure from Latent Domains for Domain Generalization,” European Conference on Computer Vision,(ECCV), pp. 628-643, 2014.
  8. Wen Li, Li Niu, and Dong Xu, “Exploiting Privileged Information from Web Data for Image Categorization,” European Conference on Computer Vision,(ECCV), pp. 437-452, 2014.
  9. Lin Chen, Wen Li, and Dong Xu, “Recognizing RGB Images by Learning from RGB-D Data,” IEEE International Conference on Computer Vision and Patter Recognition(CVPR), pp. 1418-1425, 2014.
  10. Huiying Liu, Dong Xu, Qingming Huang, Wen Li, Min Xu, and Stephen Lin, “Semantically-based Human Scanpath Estimation with HMMs,” IEEE International Conference on Computer Vision(ICCV), pp. 3232-3239, 2013. (Oral paper) [Slides]
  11. Hoang Anh Nguyen, and Wen Li, “Pose-Robust Representation for Face Verification in Unconstrained Videos,” IEEE International Conference on Image Processing(ICIP), pp. 3715-3719, 2013.
  12. Zhen Cui, Wen Li, Dong Xu, Shiguang Shan and Xilin Chen, “Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild,” IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 3554-3561, 2013. [Codes][ROC_LFW, ROC_YTF]
  13. Wen Li, Lixin Duan, Ivor W.H. Tsang and  Dong Xu, “ Co-Labeling: A New Multi-View Learning Approach for Ambiguous Problems,” IEEE International Conference on Data Mning(ICDM), pp. 419-428, 2012. (full paper) [Slides][BibTex]
  14. Wen Li, Lixin Duan, Ivor W.H. Tsang and  Dong Xu, “ Batch Mode Adaptive Multiple Instance Learning for Computer Vision Tasks,” IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 2368-2375, 2012.[BibTex]
  15. Wen Li, Lixin Duan, Dong Xu and Ivor W.H. Tsang, “Text-based Image Retrieval Using Progressive Multi-Instance Learning,” IEEE International Conference on Computer Vision(ICCV), pp. 2049-2055, 2011. [BibTex] [indices of relevant images]

Professional Service

Co-organizer of CVPR 2017 Workshop on Visual Understanding by Learning from Web Data.

Co-organizer of ECCV 2016 Workshop on Transferring and Adapting Source Knowledge (TASK) in Computer Vision (CV).

Co-organizer of ICDM 2015 Workshop on Practical Transfer Learning.

Conference Reviewer: ACM MM 2017, ICIP 2017, ICCV2017, CVPR2017, ECCV2016, ICIP2016, NIPS2015, IJCAI2015, ICIP2015, ICME2014, ICME2013, IJCAI2013, ACM-MM2013.

Journal Reviewer:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
  • International Journal of Computer Vision (IJCV)
  • Journal of Machine Learning Research (JMLR)
  • IEEE Transactions on Image Processing (T-IP)
  • IEEE Transactions on Information Forensics & Security (T-IFS)
  • IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
  • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
  • IEEE Transactions on Systems, Man, and Cybernetics: Part B (T-SMC-B)
  • Computer Vision and Image Understanding (CVIU)
  • ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM)
  • Pattern Recognition (PR)
  • Pattern Recognition Letters (PRL)
  • Machine Vision and Applications (MVAP)
  • Signal Processing (SP)


Teaching
  • Spring 2013: Engineering Mathematics, Nanyang Technological University, Teaching Assistant
  • Fall 2012: Discrete Mathematics, Nanyang Technological University, Teaching Assistant
  • Spring 2012: Data Structures, Nanyang Technological University, Teaching Assistant
  • Fall 2008: Data Mining, Beijing Normal University, Teaching Assistant
  • Spring 2008: Human Computer Interaction, School of Continuing Education, Beijing Normal University, Lecturer
  • Fall 2007: Mathematical Logic, Beijing Normal University, Teaching Assistant