Jiwen Lu, Ph.D.

Associate Professor
Department of Automation

Tsinghua University, Beijing 100084, China
Tel: +86 (10) 62795528    Fax: +86 (10) 6278 6911
Email: lujiwen@tsinghua.edu.cn

Education background

Ph. D. in Electrical and Electric Engineering, Nanyang Technological University, Singapore, 2011

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

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

Experience

Associate Professor, Department of Automation, Tsinghua University, 2003.11-present

Research Scientist, Advanced Digital Sciences Center, University of of Illinois Urbana-Champaign, 2011.3-2015.11

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

Concurrent Academic

Computer Vision, Pattern Recognition, Machine Learning

Social service

IEEE Senior Member, since 2015
Associate Editor for Pattern Recognition Letters, since 2015
Associate Editor for Neurocomputing, since 2015
Associate Editor for IEEE Access, since 2015
Managing Guest Editor for Pattern Recognition, 2016-2017
Managing Guest Editor for Image and Vision Computing, 2016-2017
Guest Editor for Computer Vision and Image Understanding, 2016-2017
Elected Member of the IEEE SPS Information Forensics and Security Technical Committee, since 2016
Program Co-Chair for ICGIP’2017
Workshop Co-Chair for WACV’2017, ACCV 2016
Special Session Chair for VCIP 2015
Area Chair for ICIP’2017, VCIP 2016, BTAS’2016, WACV 2016, ICB 2016, ICME 2015, ICB 2015

Areas of Research Interests/ Research Projects

1.Principal Investigator: Pattern Recognition and Intelligent Systems, Research Grant of the 11th National Youth 1000 Talent Professorship Program, 2016-2018
2.Principal Investigator: Deep Metric Learning for Visual Object Recognition, National Natural Science Foundation of China, 2017-2020
3.Principal Investigator: Learning to Hash for Visual Big Data: Methods and Applications, Tsinghua National Laboratory for Information Science and Technology, 2017-2018
4.Principal Investigator: Learning Efficient Binary Representations for Visual Recognition and Search, MSRA Collaborative Research Program, 2016

Honors And Awards

1.The Youth Thousand Talent Professorship Program
2.Top10% Best Paper Award of MMSP’2014
3.Best Student Paper Award of PREMIA’2012

Academic Achievement

Journal Papers:
1.Jiwen Lu, Venice Erin Liong, and Jie Zhou, Deep hashing for scalable image search, IEEE Transactions on Image Processing, 2017, accepted.

2.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, 2017, accepted.

3.Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning deep sharable and structural detectors for face alignment, IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1666-1678, 2017.

4.Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep coupled metric learning for cross-modal matching, IEEE Transactions on Multimedia, 2017, accepted.

5.Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep video hashing, IEEE Transactions on Multimedia, 2017, accepted.

6.Xi Peng, Jiwen Lu, Zhang Yi, and Rui Yan, Automatic subspace learning via principal coefficients embedding, IEEE Transactions on Cybernetics, 2017, accepted.

7.Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear discrete hashing, IEEE Transactions on Multimedia, vol. 19, no. 1, pp. 123-135, 2017.

8.Junlin Hu, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep transfer metric learning, IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5573-5588, 2016.

9.Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep metric learning for visual tracking, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 11, 2056-2068, 2016.

10.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, vol. 26, no. 3, pp. 529-540, 2016.

11.Renliang Weng, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Learning cascaded deep auto-encoder networks for face alignment, IEEE Transactions on Multimedia, vol. 18, no. 10, pp. 2066-2078, 2016.

12.Renliang Weng, Jiwen Lu, and Yap-Peng Tan, Robust point set matching for partial face recognition, IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1163-1176, 2016.

13.Rahul Rama Varior, Gang Wang, Jiwen Lu, and Ting Liu, Learning invariant color features for person reidentification, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3395-3410, 2016.

14.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, vol. 37, no. 10, pp. 2041-2056, 2015.

15.Jiwen Lu, Venice Erin Liong, and Jie Zhou, Cost-sensitive local binary feature learning for facial age estimation, IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5356-5368, 2015.

16.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, vol. 17, no. 11, pp. 1887-1898, 2015.

17.Abrar H. Abdulnabi, Gang Wang, Jiwen Lu, and Kui Jia, Multi-task CNN models for attribute prediction, IEEE Transactions on Multimedia, vol. 17, no. 11, pp.1949-1959, 2015.

18.Jiwen Lu, Venice Erin Liong, Gang Wang, and Pierre Moulin, Joint feature learning for face recognition, IEEE Transactions on Information Forensics and Security, vol. 10, no. 7. pp. 1371-1383, 2015.

19.Haibin Yan, Jiwen Lu, and Xiuzhuang Zhou, Prototype-based discriminative feature learning for kinship verification, IEEE Transactions on Cybernetics, vol. 45, no. 11, pp. 2535-2545, 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, vol. 24, no. 11, pp. 4459-4473, 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, vol. 24, no. 12, pp. 5017-5032, 2015.

22.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, vol. 10, no. 10, pp. 2071-2083, 2015.

23.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, vol. 10, no. 10, pp. 2108-2118, 2015.

24.Jiwen Lu, Gang Wang, Weihong Deng, and Kui Jia, Reconstruction-based metric learning for unconstrained face verification, IEEE Transactions on Information Forensics and Security, vol. 10, no. 1, pp. 79-89, 2015.

25.Yi Jin, Jiwen Lu*, and Qiuqi Ruan, Coupled discriminative feature learning for heterogeneous face recognition, IEEE Transactions on Information Forensics and Security, vol. 10, no. 3, pp. 640-652, 2015.

26.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, vol. 36, no. 2, pp. 331-345, 2014.

27.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, vol. 9, no. 1, pp. 51-61, 2014.

28.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, vol. 36, no. 6, pp. 1275-1284, 2014.

29.Haibin Yan, Jiwen Lu, Weihong Deng, and Xiuzhuang Zhou, Discriminative multimetric learning for kinship verification, IEEE Transactions on Information Forensics and Security, vol. 9, no. 7, pp. 1169-1178, 2014.

30.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, vol. 35, no. 1, pp. 39-51, 2013. 

31.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, vol. 23, no. 6, pp. 1070-1080, 2013.

32.Jiwen Lu and Yap-Peng Tan, Cost-sensitive subspace analysis and extensions for face recognition, IEEE Transactions on Information Forensics and Security, vol. 8, no. 3, pp. 510-519, 2013.

33.Jiwen Lu and Yap-Peng Tan, Ordinary preserving manifold analysis for human age and head pose estimation, IEEE Transactions on Human-Machine Systems, vol. 43, no. 2, pp. 249-258, 2013.

34.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, vol. 7, no. 3, pp. 944-953, 2012.

35.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, vol. 21, no. 2, pp. 789-801, 2012.

36.Jiwen Lu and Yap-Peng Tan, Gait-based human age estimation, IEEE Transactions on Information Forensics and Security, vol. 5, no. 4, pp. 761-770, 2010.

37.Jiwen Lu and Yap-Peng Tan, A doubly weighted approach for appearance-based subspace learning methods, IEEE Transactions on Information Forensics and Security, vol. 5, no. 1, pp. 71-81, 2010.

38.Jiwen Lu and Yap-Peng Tan, Regularized locality preserving projections and its extensions for face recognition, IEEE Transactions on Systems, Mans, and Cybernetics, Part B, vol. 40, no. 3, pp. 958-963, 2010.


Conference Papers:
1.Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning deep binary descriptor with multi-quantization, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Hawaii, July, 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 Computer Society Conference on Computer Vision and Pattern Recognition, Hawaii, July, 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, Amsterdam, Oct., 2016.

4.Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou, Learning compact binary descriptors with unsupervised deep neural networks, IEEE Computer Society Conference on Computer Vision and Pattern Recognition , Las Vegas, Jun., 2016.

5.Anran Wang, Jianfei Cai, Jiwen Lu, and Tat-Jen Cham, Modality and component aware feature fusion for RGB-D scene classification, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Las Vegas, Jun., 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, Santiago, Dec., 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, Santiago, Dec., 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, Santiago, Dec., 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, Santiago, Dec., 2015.

10.Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local subspace collaborative tracking, IEEE International Conference on Computer Vision, Santiago, Dec., 2015.

11.Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, and Jie Zhou, Multi-manifold deep metric learning for image set classification, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Boston, Jun., 2015.

12.Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou, Deep hashing for compact binary codes learning, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Boston, Jun., 2015.

13.Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep transfer metric learning, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Boston, Jun., 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, Zurich, Sep., 2014.

15.Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, and Shenghua Gao, Efficient sparse estimation via marginal-lasso coding, European Conference on Computer Vision, Zurich, Sep., 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, Zurich, Sep., 2014.

17.Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Discriminative deep metric learning for face verification in the wild, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Columbus, Jun., 2014.

18.Jiwen Lu, Gang Wang, and Pierre Moulin, Image set classification using holistic multiple order statistics features and localized multi-kernel metric learning, IEEE International Conference on Computer Vision, Sydney, Dec., 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, Sydney, Dec., 2013.

20.Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, and Gang Wang, Neighborhood repulsed metric learning for kinship verification, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Providence, Jun., 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, Barcelona, Nov., 2011.

22.Jiwen Lu and Yap-Peng Tan, Cost-sensitive subspace learning for face recognition, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, Jun., 2010.