Jiwen Lu, Ph.D.

Associate Professor

Department of Automation

Tsinghua University, China

Tel: +86 (10) 62795528

Fax: +86 (10) 62786911

Email: lujiwen@tsinghua.edu.cn


Education

Ph.D. degree, Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 2011

M.Eng. degree, Signal and Information Processing, Xi'an University of Technology, China, 2006

B.Eng. degree, Mechanical Engineering, Xi'an University of Technology, China, 2003

Work Experience

Associate Professor, Department of Automation, Tsinghua University, China, 2015.11-present

Research Scientist, Advanced Digital Sciences Center, Singapore, 2011.3-2015.11

Assistant Lecturer, Department of Information Sciences, Xi'an University of Technology, China, 2003.7-2007.7

Research Interests

Computer Vision: Face Recognition, Visual Surveillance, Multimedia Search

Machine Learning: Metric Learning, Deep Learning, Hashing Learning

Professional Activities

Technical Committee Member, IEEE Signal Processing Society Information Forensics and Security Technical Committee, 2016-

Technical Committee Member, CCF Computer Vision Technical Committee, 2015-

Technical Committee Member, CAAI Pattern Recognition Technical Committee, 2016-

Technical Committee Member, CAA Pattern Recognition and Machine Intelligence Technical Committee, 2016-

Technical Committee Member, CSIG Visual Big Data Technical Committee, 2017-

Associate Editor, Pattern Recognition Letters, 2015-

Associate Editor, Neurocomputing, 2015-

Associate Editor, IEEE Access, 2015-

Managing Guest Editor, Special Issue on Distance Metric Learning for Pattern Recognition, Pattern Recognition, 2016-2018 (61 submissions)

Managing Guest Editor, Special Issue on Regularization Techniques for High-Dimensional Data Analysis, Image and Vision Computing, 2016-2017 (49 submissions)

Guest Editor, Special Issue on Language in Vision, Computer Vision and Image Understanding, 2016-2017 (15 submissions)

Guest Editor, Special Issue on Deep Learning for Medical Systems and Health Applications, Computer Methods and Programs in Biomedicine, 2017 (40 submissions)

Guest Editor, Special Issue on Bridging the Semantic Gap in Multimedia Understanding, Neurocomputing, 2015-2016 (65 submissions)

Program Chair, International Conference on Graphic and Image Processing (ICGIP), 2017

Workshop Chair, IEEE Winter Conference on Applications of Computer Vision (WACV), 2017

Workshop Chair, Asian Conference on Computer Vision (ACCV), 2016

Special Session Chair, IEEE International Conference on Visual Communication and Image Processing (VCIP), 2015

Area Chair, AAAI Conference on Artificial Intelligence (AAAI), 2018

Area Chair, IEEE International Conference on Image Processing (ICIP), 2017

Area Chair, IEEE International Conference on Visual Communications and Image Processing (VCIP), 2016

Area Chair, IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2016

Area Chair, IAPR/IEEE International Conference on Biometrics (ICB), 2016

Area Chair, IEEE Winter Conference on Applications of Computer Vision (WACV), 2016

Area Chair, IEEE International Conference on Multimedia and Expo (ICME), 2015

Area Chair, IAPR/IEEE International Conference on Biometrics (ICB), 2015

Honors and Awards

Youth 1000 Talent Professorship Program, 2015

Top 10% Best Paper Award of IEEE MMSP, 2014

Best Paper Award Candidate of IEEE ICME, 2013

Best Student Paper Award of PREMIA, 2012

Best Paper Award Candidate of IEEE ICME, 2011

Publications

IEEE Transactions Papers

1. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Deep Hashing for Scalable Image Search, IEEE Transactions on Image Processing (T-IP) , 2017.

2. Yueqi Duan, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Learning Rotation-Invariant Local Binary Descriptor, IEEE Transactions on Image Processing (T-IP) , 2017.

3. Hao Liu, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Learning Deep Sharable and Structural Detectors for Face Alignment, IEEE Transactions on Image Processing (T-IP) , 2017.

4. Zhixiang Chen, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Nonlinear Structural Hashing for Scalable Video Search, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) , 2017.

5. Junlin Hu, Jiwen Lu*, Yap-Peng Tan, Junsong Yuan, and Jie Zhou, Local Large-Margin Multi-Metric Learning for Face and Kinship Verification, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) , 2017.

6. Zhixiang Chen, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Nonlinear Sparse Hashing, IEEE Transactions on Multimedia (T-MM) , 2017.

7. Venice Erin Liong, Jiwen Lu*, Yap-Peng Tan, and Jie Zhou, Deep Coupled Metric Learning for Cross-Modal Matching, IEEE Transactions on Multimedia (T-MM) , 2017.

8. Venice Erin Liong, Jiwen Lu*, Yap-Peng Tan, and Jie Zhou, Deep Video Hashing, IEEE Transactions on Multimedia (T-MM) , 2017.

9. Zhixiang Chen, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Nonlinear Discrete Hashing, IEEE Transactions on Multimedia (T-MM) , 2017.

10. Xi Peng, Jiwen Lu, Zhang Yi, and Rui Yuan, Automatic Subspace Learning via Principal Coefficients Embedding, IEEE Transactions on Cybernetics (T-CYB) , 2017.

11. Yuebin Wang, Liqiang Zhang, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang, Jun Liu, Hong Tang, and Xiaoyue Xing, Learning a Discriminative Distance Metric With Label Consistency for Scene Classification, IEEE Transactions on Geoscience and Remote Sensing (T-GRS) , 2017.

12. Junlin Hu, Jiwen Lu*, Yap-Peng Tan, and Jie Zhou, Deep Transfer Metric Learning, IEEE Transactions on Image Processing (T-IP) , 2016.

13. Renliang Weng, Jiwen Lu*, and Yap-Peng Tan, Robust Point Set Matching for Partial Face Recognition, IEEE Transactions on Image Processing (T-IP) , 2016.

14. Rahul Rama Varior, Gang Wang, Jiwen Lu, and Ting Liu, Learning Invariant Color Features for Person Re-identification, IEEE Transactions on Image Processing (T-IP) , 2016.

15. Jiwen Lu, Gang Wang, and Pierre Moulin, Localized Multifeature Metric Learning for Image Set Based Face Recognition, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) , 2016.

16. Junlin Hu, Jiwen Lu*, and Yap-Peng Tan, Deep Metric Learning for Visual Tracking, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) , 2016.

17. Renliang Weng, Jiwen Lu*, Yap-Peng Tan, and Jie Zhou, Learning Cascaded Deep Auto-Encoder Networks for Face Alignment, IEEE Transactions on Multimedia (T-MM) , 2016.

18. Jiwen Lu, Venice Erin Liong, Xiuzhuang Zhou, and Jie Zhou, Learning Compact Binary Face Descriptor for Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2015.

19. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation, IEEE Transactions on Image Processing (T-IP) , 2015.

20. Anran Wang, Jiwen Lu, Jianfei Cai, Gang Wang, and Tat-Jen Cham, Unsupervised Joint Feature Learning and Encoding for RGB-D Scene Labeling, IEEE Transactions on Image Processing (T-IP) , 2015.

21. Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, and Yi Ma, PCANet: A Simple Deep Learning Baseline for Image Classification?, IEEE Transactions on Image Processing (T-IP) , 2015.

22. Anran Wang, Jiwen Lu, Jianfei Cai, Tat-Jen Cham, and Gang Wang, Large-margin Multi-modal Deep Learning for RGB-D Object Recognition, IEEE Transactions on Multimedia (T-MM) , 2015.

23. Abrar Abdulnabi, Gang Wang, Jiwen Lu, and Kui Jia, Multi-Task CNN Models for Attribute Prediction, IEEE Transactions on Multimedia (T-MM) , 2015.

24. Haibin Yan, Jiwen Lu, and Xiuzhuang Zhou, Prototype-Based Discriminative Feature Learning for Kinship Verification, IEEE Transactions on Cybernetics (T-CYB) , 2015.

25. Jiwen Lu, Venice Erin Liong, Gang Wang, and Pierre Moulin, Joint Feature Learning for Face Recognition, IEEE Transactions on Information Forensics and Security (T-IFS) , 2015.

26. Jiwen Lu, Gang Wang, Weihong Deng, and Kui Jia, Reconstruction-Based Metric Learning for Unconstrained Face Verification, IEEE Transactions on Information Forensics and Security (T-IFS) , 2015.

27. Yi Jin, Jiwen Lu*, and Qiuqi Ruan, Coupled Discriminative Feature Learning for Heterogeneous Face Recognition, IEEE Transactions on Information Forensics and Security (T-IFS) , 2015.

28. Sheng Huang, Ahmed Elgammal, Jiwen Lu, and Dan Yang, Cross-Speed Gait Recognition Using Speed-Invariant Gait Templates and Globality-Locality Preserving Projections, IEEE Transactions on Information Forensics and Security (T-IFS) , 2015.

29. Shenghua Gao, Yuting Zhang, Kui Jia, Jiwen Lu, and Yingying Zhang, Single Sample Face Recognition via Learning Deep Supervised Auto-Encoders, IEEE Transactions on Information Forensics and Security (T-IFS) , 2015.

30. Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, and Jie Zhou, Neighborhood Repulsed Metric Learning for Kinship Verification, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2014.

31. Weihong Deng, Jiani Hu, Jiwen Lu, and Jun Guo, Transform-Invariant PCA: A Unified Approach to Fully Automatic Face Alignment, Representation, and Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2014.

32. Jiwen Lu, Gang Wang, and Pierre Moulin, Human Identity and Gender Recognition from Gait Sequences with Arbitrary Walking Directions, IEEE Transactions on Information Forensics and Security (T-IFS) , 2014.

33. Haibin Yan, Jiwen Lu, Weihong Deng, and Xiuzhuang Zhou, Discriminative Multimetric Learning for Kinship Verification, IEEE Transactions on Information Forensics and Security (T-IFS) , 2014.

34. Jiwen Lu, Yap-Peng Tan, and Gang Wang, Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample Per Person, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2013.

35. Jiwen Lu, Yap-Peng Tan, Gang Wang, and Gao Yang, Image-to-Set Face Recognition Using Locality Repulsion Projections and Sparse Reconstruction-Based Similarity Measure, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) , 2013.

36. Jiwen Lu and Yap-Peng Tan, Cost-Sensitive Subspace Analysis and Extensions for Face Recognition, IEEE Transactions on Information Forensics and Security (T-IFS) , 2013.

37. Jiwen Lu and Yap-Peng Tan, Ordinary Preserving Manifold Analysis for Human Age and Head Pose Estimation, IEEE Transactions on Human-Machine Systems (T-HMS) , 2013.

38. Xiuzhuang Zhou, Yao Lu, Jiwen Lu, and Jie Zhou, Abrupt Motion Tracking via Intensively Adaptive Markov Chain Monte Carlo Sampling, IEEE Transactions on Image Processing (T-IP) , 2012.

39. Jiwen Lu, Xiuzhuang Zhou, Yap-Peng Tan, Yuanyuan Shang, and Jie Zhou, Cost-Sensitive Semi-Supervised Discriminant Analysis for Face Recognition, IEEE Transactions on Information Forensics and Security (T-IFS) , 2012.

40. Jiwen Lu and Yap-Peng Tan, Regularized Locality Preserving Projections and Its Extensions for Face Recognition, IEEE Transactions on Systems, Man, and Cybernetics, Part B (T-SMCB) , 2010.

41. Jiwen Lu and Yap-Peng Tan, Gait-Based Human Age Estimation, IEEE Transactions on Information Forensics and Security (T-IFS) , 2010.

42. Jiwen Lu and Yap-Peng Tan, A Doubly Weighted Approach for Appearance-Based Subspace Learning, IEEE Transactions on Information Forensics and Security (T-IFS) , 2010.

ICCV/CVPR/ECCV Papers

1. Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning Deep Binary Descriptor with Multi-quantization, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2017.

2. Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Consistent-Aware Deep Learning for Person Re-identification in A Camera Network, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2017.

3. Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, and Gang Wang, A Siamese Long Short Term Memory Architecture for Human Re-Identification, European Conference on Computer Vision (ECCV) , 2016.

4. Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou, Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2016.

5. Anran Wang Jianfei Cai, Jiwen Lu, and Tat-Jen Cham, Modality and Component Aware Feature Fusion for RGB-D Scene Classification, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2016.

6. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Simultaneous Local Binary Feature Learning and Encoding for Face Recognition, IEEE International Conference on Computer Vision and Pattern Recognition (ICCV) , 2015.

7. Lin Ma, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multiple Feature Fusion via Weighted Entropy for Visual Tracking, IEEE International Conference on Computer Vision and Pattern Recognition (ICCV) ,2015.

8. Anran Wang, Jianfei Cai, Jiwen Lu, and Tat-Jen Cham, MMSS: Multi-modal Sharable and Specific Feature Learning for RGB-D Object Recognition, IEEE International Conference on Computer Vision and Pattern Recognition (ICCV) , 2015.

9. Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, and Bo Lang, Multi-view Complementary Hash Tables for Nearest Neighbor Search, IEEE International Conference on Computer Vision and Pattern Recognition (ICCV) , 2015.

10. Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local Subspace Collaborated Tracking, IEEE International Conference on Computer Vision and Pattern Recognition (ICCV) , 2015.

11. Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, and Jie Zhou, Multi-Manifold Deep Metric Learning for Image Set Classification, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2015.

12. Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou, Deep Hashing for Compact Binary Codes Learning, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2015.

13. Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep Transfer Metric Learning, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2015.

14. Jiwen Lu, Gang Wang, Weihong Deng, and Pierre Moulin, Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition, European Conference on Computer Vision (ECCV) , 2014.

15. Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, and Shenghua Gao, Efficient Sparsity Estimation via Marginal-Lasso Coding, European Conference on Computer Vision (ECCV) , 2014.

16. Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, and Tat-Jen Cham, Multi-modal Unsupervised Feature Learning for RGB-D Scene Labeling, European Conference on Computer Vision (ECCV) , 2014.

17. Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Discriminative Deep Metric Learning for Face Verification in the Wild, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2014.

18. Jiwen Lu, Gang Wang, and Pierre Moulin, Image Set Classification Using Multiple Order Statistics Features and Localized Multi-Kernel Metric Learning, IEEE International Conference on Computer Vision and Pattern Recognition (ICCV) , 2013.

19. Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, and Yap-Peng Tan, Robust Feature Set Matching for Partial Face Recognition, IEEE International Conference on Computer Vision and Pattern Recognition (ICCV) , 2013.

20. Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, and Gang Wang, Neighborhood Repulsed Metric Learning for Kinship Verification, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2012.

21. Jiwen Lu, Yap-Peng Tan, and Gang Wang, Discriminative Multi-Manifold Analysis for Face Recognition from A Single Training Sample Per Person, IEEE International Conference on Computer Vision and Pattern Recognition (ICCV) , 2011.

22. Jiwen Lu and Yap-Peng Tan, Cost-Sensitive Subspace Learning for Face Recognition, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2010.