Jiwen Lu


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, 2012

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, Scene Understanding

Machine Learning: Deep Learning, Metric Learning, Multi-view Learning

Professional Activities

Technical Committee Member, IEEE Signal Processing Society Multimedia Signal Processing Technical Committee, 2018-

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, IEEE Transactions on Circuits and Systems for Video Technology, 2018-

Associate Editor, IEEE Transactions on Biometrics, Behavior, and Identity Science, 2018-

Associate Editor, IEEE Access, 2015-2017

Associate Editor, Pattern Recognition, 2017-

Associate Editor, Journal of Visual Communication and Image Representation, 2017-

Associate Editor, Pattern Recognition Letters, 2015-2017

Associate Editor, Neurocomputing, 2015-2017

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

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

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

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

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

Program Chair, International Conference on Intelligence Science and Big Data Engineering (IscIDE), 2018

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, IAPR/IEEE International Conference on Biometrics (ICB), 2019

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

Publicity Chair, IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2018

Publicity Chair, IEEE/IAPR International Joint Conference on Biometrics (IJCB), 2017

Senior Program Committe, AAAI Conference on Artificial Intelligence (AAAI), 2018

Area Chair, IEEE International Conference on Image Processing (ICIP), 2018

Area Chair, IAPR/IEEE International Conference on Pattern Recognition (ICPR), 2018

Area Chair, IEEE International Conference on Multimedia and Expo (ICME), 2018

Area Chair, IAPR/IEEE International Conference on Biometrics (ICB), 2018

Area Chair, IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS), 2018

Area Chair, IEEE International Conference on Automation Science and Engineering (CASE), 2018

Area Chair, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018

Area Chair, IEEE International Workshop on Multimedia Signal Processing (MMSP), 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

Publications

Selected Journal Papers

1. 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) , 2018.

2. Yueqi Duan, Jiwen Lu*, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning Deep Binary Descriptor with Multi-Quantization, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2018.

3. Kevin Lin, Jiwen Lu*, Chu-Song Chen, Jie Zhou, and Ming-Ting Sun, Unsupervised Deep Learning of Compact Binary Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2018.

4. 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) , 2018.

5. 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) , 2018.

6. Junlin Hu, Jiwen Lu*, and Yap-Peng Tan, Sharable and Individual Multi-view Metric Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) , 2018.

7. Hao Liu, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Ordinal Deep Learning for Facial Age Estimation, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) , 2018.

8. 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) , 2018.

9. Yueqi Duan, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Deep Localized Metric Learning, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) , 2018.

10. 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) , 2018.

11. Hao Liu, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Label-Sensitive Deep Metric Learning for Facial Age Estimation, IEEE Transactions on Information Forensics and Security (T-IFS) , 2018.

12. Yueqi Duan, Jiwen Lu*, Jianjiang Feng, and Jie Zhou, Topology Preserving Structural Matching for Automatic Partial Face Recognition, IEEE Transactions on Information Forensics and Security (T-IFS) , 2018.

13. Zhe Cui, Jianjiang Feng, Shihao Li, Jiwen Lu, and Jie Zhou, 2D Phase Demodulation for Deformable Fingerprint Registration, IEEE Transactions on Information Forensics and Security (T-IFS) , 2018.

14. Shan Gu, Jianjiang Feng, Jiwen Lu, and Jie Zhou, Efficient Rectification of Distorted Fingerprints, IEEE Transactions on Information Forensics and Security (T-IFS) , 2018.

15. Jiwen Lu, Junlin Hu, and Jie Zhou, Deep Metric Learning for Visual Understanding: An Overview of Recent Advances, IEEE Signal Processing Magazine (SPM) , 2017.

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

17. 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.

18. 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.

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

20. 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.

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

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

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

24. 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.

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

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

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

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

29. 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.

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

31. 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.

32. 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.

33. 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.

34. 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.

35. 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.

36. 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.

37. 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.

38. 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.

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

40. 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.

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

42. 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.

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

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

45. 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.

46. 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.

47. 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.

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

49. 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.

50. 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.

51. 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.

52. 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.

53. 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.

54. 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.

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

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

57. Jiwen Lu, and Yap-Peng Tan, Regularized Locality Preserving Projections and Its Extensions for Face Recognition, IEEE Transactions on Systems, Mans, and Cybernetics (T-SMC) , 2010.

Selected Conference Papers

1. Minghao Guo, Jiwen Lu*, and Jie Zhou, Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking, European Conference on Computer Vision (ECCV) , 2018.

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2. Chunze Lin, Jiwen Lu*, Gang Wang, and Jie Zhou, Graininess-Aware Deep Feature Learning for Pedestrian Detection, European Conference on Computer Vision (ECCV) , 2018.

3. Liangliang Ren, Jiwen Lu*, Zifeng Wang, Qi Tian, and Jie Zhou, Collaborative Deep Reinforcement Learning for Multi-Object Tracking, European Conference on Computer Vision (ECCV) , 2018.

4. Lei Chen, Jiwen Lu*, Zhanjie Song, and Jie Zhou, Part-Activated Deep Reinforcement Learning for Action Prediction, European Conference on Computer Vision (ECCV) , 2018.

5. Liangliang Ren, Xin Yuan, Jiwen Lu*, Ming Yang, and Jie Zhou, Deep Reinforcement Learning with Iterative Shift for Visual Tracking, European Conference on Computer Vision (ECCV) , 2018.

6. Xin Yuan, Liangliang Ren, Jiwen Lu*, and Jie Zhou, Towards Optimal Deep Hashing via Policy Gradient, European Conference on Computer Vision (ECCV) , 2018.

7. Xudong Lin, Yueqi Duan, Jiwen Lu*, and Jie Zhou, Deep Variational Metric Learning, European Conference on Computer Vision (ECCV) , 2018.

8. Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu*, and Jie Zhou, Deep Adversarial Metric Learning, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2018.

9. Yueqi Duan, Ziwei Wang, Jiwen Lu*, Xudong Lin, and Jie Zhou, GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2018.

10. Zhixiang Chen, Xin Yuan, Jiwen Lu*, Qi Tian, and Jie Zhou, Deep Hashing by Discrepancy Minimization, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2018.

11. Yansong Tang, Yi Tian, Jiwen Lu*, Peiyang Li, and Jie Zhou, Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2018.

12. Yongming Rao, Dahua Lin, Jiwen Lu*, and Jie Zhou, Learning Globally Optimized Object Detector via Policy Gradient, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , 2018.

13. Ji Lin, Yongming Rao, Jiwen Lu*, and Jie Zhou, Runtime Neural Pruning, Advances in Neural Information Processing Systems (NIPS) , 2017.

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

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

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

17. Fangyu Liu, Shuaipeng Li, Liqiang Zhang, Chenghu Zhou, Rongtian Ye, Yuebin Wang and Jiwen Lu, 3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-Scale 3D Point Clouds, IEEE International Conference on Computer Vision (ICCV) , 2017.

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

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

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

25. 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 (ICCV) ,2015.

26. 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 (ICCV) ,2015.

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

28. 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.

29. 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.

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

31. 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.

32. 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.

33. 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.

34. 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.

35. 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 (ICCV) , 2013.

36. 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 (ICCV) , 2013.

37. 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.

38. 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 (ICCV) , 2011.

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