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, Video Analysis

Machine Learning: Deep Learning, Metric Learning

Professional Activities

Technical Committee Member, IEEE Circuits and Systems Society Multimedia Systems and Applications Technical Committee, 2017-

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

Associate Editor, Pattern Recognition, 2017-

Associate Editor, Pattern Recognition Letters, 2015-

Associate Editor, Neurocomputing, 2015-

Associate Editor, IEEE Access, 2015-

Managing Guest Editor, Pattern Recognition, Special Issue on Distance Metric Learning for Pattern Recognition, 2016-2017 (61 submissions)

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

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

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

Guest Editor, Neurocomputing, Special Issue on Bridging the Semantic Gap in Multimedia Understanding, 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 Winter Conference on Applications of Computer Vision (WACV), 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

Selected Journal Papers

1. Jiwen Lu, Junlin Hu, and Jie Zhou, Deep Metric Learning for Visual Understanding, IEEE Signal Processing Magazine (SPM) , 2017, accepted.

2. Jiwen Lu, Venice Erin Liong, and Jie Zhou, Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2017, accepted.

3. Yueqi Duan, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Context-Aware Local Binary Feature Learning for Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2017, accepted.

4. Hao Liu, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Two-Stream Transformer Networks for Video-based Face Alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2017, accepted.

5. 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.

6. 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.

7. 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.

8. Jiwen Lu, Junlin Hu, and Yap-Peng Tan, Discriminative Deep Metric Learning for Face and Kinship Verification, IEEE Transactions on Image Processing (T-IP) , 2017.

9. Jiwen Lu, Gang Wang, and Jie Zhou, Simultaneous Feature and Dictionary Learning for Image Set Based Face Recognition, IEEE Transactions on Image Processing (T-IP) , 2017.

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

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

12. 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.

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

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

15. 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.

Selected Conference Papers

1. Yongming Rao, Jiwen Lu*, and Jie Zhou, Attention-aware Deep Reinforcement learning for Video Face Recognition, IEEE International Conference on Computer Vision (ICCV) , 2017.

2. Yongming Rao, Ji Lin, Jiwen Lu*, and Jie Zhou, Learning Discriminative Aggregation Network for Video Face Recognition, IEEE International Conference on Computer Vision (ICCV) , 2017.

3. Venice Erin Liong, Jiwen Lu*, Yap-Peng Tan, and Jie Zhou, Cross-Modal Deep Variational Hashing, IEEE International Conference on Computer Vision (ICCV) , 2017.

4. 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.

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

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

12. 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.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

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