鲁继文 副教授

信息处理研究所

通信地址:北京清华大学自动化系 邮政编码:100084
联系电话:010-62795528   Fax: 010-62786911
电子邮箱:lujiwen@tsinghua.edu.cn


教育背景

1999年9月至2003年6月 在西安理工大学机械设计制造及其自动化专业学习,获工学学士学位

2003年9月至2006年4月 在西安理工大学信号与信息处理专业学习,获工学硕士学位

2007年8月至2011年2月 在新加坡南洋理工大学电气与电子工程专业学习,获哲学博士学位

工作履历

2003年7月至2007年7月  西安理工大学信息科学系 助教

2011年3月至2015年11月  美国伊利诺伊大学香槟分校新加坡高等研究院 研究科学家

2015年11月至今 清华大学自动化系 副教授

学术兼职

IEEE高级会员,2015年至今

Pattern Recognition Letters编委,2015年至今

Neurocomputing编委,2015年至今

IEEE Access编委,2015年至今

Pattern Recognition客座执行主编,2016-2017年

Image and Vision Computing客座执行主编,2016-2017年

Computer Vision and Image Understanding客座编委,2016-2017年

IEEE信号处理学会信息取证与防伪技术委员会委员,2016年至今

中国计算机学会计算机视觉专委会委员,2015年至今

中国自动化学会模式识别与机器智能专委会委员,2016年至今

中国人工智能学会模式识别专委会委员,2016年至今

ICGIP’2017程序委员会主席

WACV’2017、ACCV’2016研讨会主席

VCIP’2015专题主席

ICIP’2017、WACV’2016、VCIP’2016、ICB 2016、BTAS 2016、ICME’2015、ICB’2015领域主席


研究领域

计算机视觉、模式识别、机器学习

研究概况

1.中组部第十一批千人计划计划青年项目,模式识别与智能系统,2016.1-2018.12,主持

2.国家自然科学基金面上项目,面向视觉目标识别的深度度量学习方法研究,2017.1-2020.12,主持

3.清华信息科学与技术国家实验室青年拔尖人才支持计划项目,视觉大数据哈希学习方法及应用,2017.1-2018.12,主持

4.微软亚洲研究院国际合作项目,基于二值特征学习的视觉目标识别与检索,2016.1-2016.12,主持

奖励与荣誉

1.中组部第十一批“青年千人计划”,2015

2.2014年IEEE多媒体信号处理研讨会Top10%最佳论文奖,2014

3.2012年新加坡模式识别与机器智能协会最佳学生论文奖,2012

学术成果

期刊论文
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.


会议论文
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.