千赢国/qy88千嬴国际官网-手机版

师资队伍
鲁继文

副教授

信息处理研究所

电话: 010-62795528 Fax: 010-62786911
地点:北京千赢国系


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,获工学博士学位


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 千赢国系 副教授


学术兼职


IEEE高级会员,2015年至今

CCF高级会员,2019年至今

Pattern Recognition Letters主编,2019年-

IEEE Transactions on Image Processing编委,2018年至今

IEEE Transactions on Circuits and Systems for Video Technology编委,2018年至今

IEEE Transactions on Biometrics, Behavior, and Identity Science编委,2018年至今

Pattern Recognition编委,2017年至今

Journal of Visual Communication and Image Representation 编委,2017年至今

Pattern Recognition Letters编委,2015年-2018年

Neurocomputing编委,2015年-2018年

IEEE Access编委,2015年-2018年

IEEE FG 2023,程序委员会主席

IEEE VCIP 2022,程序委员会主席

IEEE AVSS 2021,程序委员会主席

IEEE ICME 2020,程序委员会主席

IEEE电路与系统学会视觉信号处理与通信技术委员会委员,2019年至今

IEEE信号处理学会多媒体信号处理技术委员会委员,2018年至今

IEEE电路与系统学会多媒体系统与应用技术委员会委员,2017年至今

IEEE信号处理学会信息取证与防伪技术委员会委员,2016年-2018年


研究领域


计算机视觉、机器学习、智能机器人


研究概况


1.国家自然科学基金联合重点基金,面向服务机器人的人体动作分析与识别,2019.1-2022.12,主持

2.国家自然科学基金优秀青年基金,视觉模式分析与识别,2019.1-2021.12,主持

3.国家重点研发计划课题,非神经网络结构的深度学习模型与方法,2018.5-2023.4,主持

4.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


奖励与荣誉


1.国际模式识别学会会士(IAPR Fellow),2020

2.IEEE ICME 2019多媒体新星奖,2019

3.国家优秀青年科学基金获得者,2018

4.IEEE ICME 2018铂金最佳论文奖,2018


学术成果


期刊论文

1.    Ziwei Wang, Jiwen Lu, and Jie Zhou, Learning Channel-wise interactions for binary convolutional neural networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, accepted.

2.    Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Hardness-aware deep metric learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, accepted.

3.    Yansong Tang, Jiwen Lu, and Jie Zhou, Comprehensive instructional video analysis: the COIN dataset and performance evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, accepted.

4.    Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Recurrent semantic preserving generation for action prediction, IEEE Transactions on Circuits and Systems for Video Technology, 2020, accepted.

5.    Yansong Tang, Yi Wei, Xumin Yu, Jiwen Lu, and Jie Zhou, Graph interaction networks for relation transfer in human activity videos, IEEE Transactions on Circuits and Systems for Video Technology, 2020, accepted.

6.    Xiaojuan Cheng, Jiwen Lu, Bo Yuan, and Jie Zhou, Identity-preserving face hallucination via deep reinforcement learning, IEEE Transactions on Circuits and Systems for Video Technology, 2020, accepted.

7.    Hao Liu, Jiwen Lu, Minghao Guo, Suping Wu, and Jie Zhou, Learning reasoning-decision networks for robust face alignment, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 3, pp. 679-693, 2020.

8.    Venice Erin Liong, Jiwen Lu, Lin-Yu Duan, and Yap-Peng Tan, Deep variational and structural hashing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no. 3, pp. 580-595, 2020.

9.    Yueqi Duan, Jiwen Lu, Wenzhao Zheng and Jie Zhou, Deep adversarial metric learning, IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 2037-2051, 2020.

10.   Chunze Lin, Jiwen Lu, Gang Wang, and Jie Zhou, Graininess-aware deep feature learning for robust pedestrian detection, IEEE Transactions on Image Processing, vol. 29, no. 2, pp. 3820-3834, 2020.

11.   Guangyi Chen, Jiwen Lu, Ming Yang, and Jie Zhou, Learning recurrent 3D attention for video-based person re-identification, IEEE Transactions on Image Processing, vol. 29, pp. 6963-6976, 2020.

12.   Shuyan Li, Zhixiang Chen, Xiu Li, Jiwen Lu, and Jie Zhou, Unsupervised variational video hashing with 1D-CNN-LSTM network, IEEE Transactions on Multimedia, vol. 22, no. 6, pp. 1542-1554, 2020.

13.   Yongming Rao, Jiwen Lu, Ji Lin, and Jie Zhou, Runtime network routing for efficient image classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 10, pp. 2291-2304, 2019.

14.   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, vol. 41, no. 8, pp. 1924-1938, 2019.

15.   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, vol. 41, no. 6, pp. 1501-1514, 2019.

16.   Yongming Rao, Jiwen Lu, and Jie Zhou, Learning discriminative aggregation network for video-based face recognition and person re-identification, International Journal of Computer Vision, vol. 127, no. 6-7, pp. 701-718, 2019.

17.   Guangyi Chen, Jiwen Lu, Ming Yang, and Jie Zhou, Spatial-temporal attention-aware learning for video-based person re-identification, IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4192-4205, 2019.

18.   Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Uniform and variational deep learning for RGB-D object recognition and person re-identification, IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4970-4983, 2019.

19.   Yansong Tang, Jiwen Lu, Zian Wang, Ming Yang, and Jie Zhou, Learning semantics-preserving attention and contextual interaction for group activity recognition, IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 4997-5102, 2019.

20.   Yansong Tang, Zian Wang, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multi-stream deep neural networks for RGB-D egocentric action recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 10, pp. 3001-3015, 2019.

21.   Chunze Lin, Jiwen Lu, and Jie Zhou, Multi-grained deep feature learning for robust pedestrian detection, IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 12, pp. 3608-3621, 2019.

22.   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, vol. 29, no. 2, pp. 486-501, 2019.

23.   Xiaojuan Cheng, Jiwen Lu, Bo Yuan, and Jie Zhou, Semantics-enhanced deep feature learning for face recognition, IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 1, no. 4, pp. 223-231, 2019.

24.   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, vol. 40, no. 11, pp. 2546-2554, 2018.

25.   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, vol. 40, no. 8, pp. 1979-1993, 2018.

26.   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, vol. 40, no. 5, pp. 1139-1153, 2018.

27.   Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Sharable and individual multi-view metric learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 9, pp. 2281-2288, 2018.

28.   Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Deep localized metric learning, IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 10, pp. 2644-2656, 2018.

29.   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, vol. 28, no. 8, pp. 1875-1891, 2018.

30.   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, vol. 28, no. 6, pp. 1421-1433, 2018.

31.   Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Topology preserving structural matching for partial face recognition, IEEE Transactions on Information Forensics and Security, vol. 13, no. 7, pp. 1823-1837, 2018.

32.   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, vol. 13, no. 2, pp. 292-305, 2018.

33.   Shan Gu, Jianfeng Feng, Jiwen Lu, and Jie Zhou, Efficient rectification of distorted fingerprints, IEEE Transactions on Information Forensics and Security, vol. 13, no. 1, pp. 156-169, 2018.

34.   Zhe Cui, Jianfeng Feng, Shihao Li, Jiwen Lu, and Jie Zhou, 2-D phase demodulation for deformable fingerprint recognition, IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3153-3165, 2018.

35.   Jiwen Lu, Junlin Hu, and Jie Zhou, Deep metric learning for visual understanding: an overview of recent advances, IEEE Signal Processing Magazine, vol. 34, no. 6, pp. 76-84, 2017.

36.   Jiwen Lu, Venice Erin Liong, and Jie Zhou, Deep hashing for scalable image search, IEEE Transactions on Image Processing, vol. 26, no. 5, pp. 2352-2367, 2017.

37.   Jiwen Lu, Gang Wang, and Jie Zhou, Simultaneous feature and dictionary learning for image set based face recognition, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 4042-4054, 2017.

38.   Jiwen Lu, Junlin Hu, and Yap-Peng Tan, Discriminative deep metric learning for face and kinship verification, IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4042-4054, 2017.

39.   Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning rotation-invariant local binary descriptor, IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3636-3651, 2017.

40.   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.

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

42.   Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear sparse hashing, IEEE Transactions on Multimedia, vol. 19, no. 9, pp. 1996-2009, 2017.

43.   Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep video hashing, IEEE Transactions on Multimedia, vol. 19, no. 6, pp. 1209-1219, 2017.

44.   Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep coupled metric learning for cross-modal matching, IEEE Transactions on Multimedia, vol. 19, no. 6, pp. 1234-1244, 2017.

45.   Xi   Peng, Jiwen Lu, Zhan Yi, and Rui Yan, Automatic subspace learning via principal coefficients embedding, IEEE Transactions on Cybernetics, vol. 47, no. 11, pp.3583-3596, 2017.

46.   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, vol. 55, no. 8, pp. 4427-4440, 2017.

47.   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.

48.   Junlin Hu, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep transfer metric learning, IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5576-5588, 2016.

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

50.   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.

51.   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.

52.   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.

53.   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.

54.   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.

55.   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.

56.   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.

57.   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.

58.   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.

59.   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.

60.   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.

61.   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.

62.   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.

63.   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.

64.   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.

65.   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.

66.   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.

67.   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.

68.   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.

69.   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.  

70.   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.

71.   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.

72.   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.

73.   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.

74.   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.

75.   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.

76.   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.    Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng and Jie Zhou, Graph-based social relation reasoning, ECCV, 2020.

2.    Guangyi Chen, Yongming Rao, Jiwen Lu, and Jie Zhou, Temporal coherence or temporal motion: which is more Critical for Video-based Person re-identification?, ECCV, 2020.

3.    Guangyi Chen, Yuhao Lu, Jiwen Lu, and Jie Zhou, Deep credible metric learning for unsupervised domain adaptation person re-identification, ECCV, 2020.

4.    Ziwei Wang, Quan Zheng, Jiwen Lu, and Jie Zhou, Deep hashing with active pairwise supervision, ECCV, 2020.

5.    Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, and Jie Zhou, Reinforced axial refinement network for monocular 3D object detection, ECCV, 2020.

6.    Yu Zheng, Danyang Zhang, Jiwen Lu, and Jie Zhou, Rotation-robust intersection over union for 3D object detection, ECCV, 2020.

7.    Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Structural deep metric learning for room layout estimation, ECCV, 2020.

8.    Liangliang Ren, Yangyang Song, Jiwen Lu, and Jie Zhou, Spatial geometric reasoning for room layout estimation via deep reinforcement learning, ECCV, 2020.

9.    Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, and Cho-Jui Hsieh, MetaDistiller: network self-boosting via meta-learned top-down distillation, ECCV, 2020.

10.   Yongming Rao, Jiwen Lu, and Jie Zhou, Global-local bidirectional reasoning for unsupervised representation learning of 3D point clouds, CVPR, 2020.

11.   Wenzhao Zheng, Jiwen Lu, and Jie Zhou, Deep metric learning via adaptive learnable assessment, CVPR, 2020.

12.   Ziwei Wang, Ziyi Wu, Jiwen Lu, and Jie Zhou, BiDet: An efficient binarized object detector, CVPR, 2020.

13.   Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, and Jie Zhou, Uncertainty-aware score distribution learning for action quality assessment, CVPR, 2020. (oral)

14.   Cheng Ma, Zhengyu Jiang, Yongming Rao, Jiwen Lu, and Jie Zhou, Deep face super-resolution with iterative collaboration between attentive recovery and landmark estimation, CVPR, 2020.

15.   Cheng Ma, Yongming Rao, Yian Cheng, Ce Chen, Jiwen Lu, and Jie Zhou, Structure-preserving super resolution with gradient guidance, CVPR, 2020.

16.   Guangyi Chen, Tianren Zheng, Jiwen Lu, and Jie Zhou, Deep meta metric learning, ICCV, 2019.

17.   Guangyi Chen, Chunze Lin, Liangliang Ren, Jiwen Lu, and Jie Zhou, Self-critical attention learning for person re-identification, ICCV, 2019.

18.   Shuyan Li, Zhixiang Chen, Jiwen Lu, Xiu Li, and Jie Zhou, Neighborhood preserving hashing for scalable video retrieval, ICCV, 2019.

19.   Yongcheng Liu, Bin Fan, Gaofeng Meng, Jiwen Lu, Shiming Xiang and Chunhong Pan, Learning densely contextual representation for efficient point cloud processing, ICCV, 2019.

20.   Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, and Jie Zhou, Hardness-aware deep metric learning, CVPR, 2019. (oral)

21.   Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou, COIN: A large-scale dataset for comprehensive instructional video analysis, CVPR, 2019.

22.   Yueqi Duan, Jiwen Lu, and Jie Zhou, UniformFace: Learning deep Equidistributed representation for face recognition, CVPR, 2019.

23.   Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou, Deep embedding learning with discriminative sampling policy, CVPR, 2019.

24.   Yueqi Duan, Yu Zheng, Jiwen Lu, Jie Zhou, and Qi Tian, Structural relational reasoning of point clouds, CVPR, 2019.

25.   Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, and Qi Tian, BridgeNet: A continuity-aware probabilistic network for age estimation, CVPR, 2019.

26.   Yongming Rao, Jiwen Lu, and Jie Zhou, Spherical fractal convolution neural networks for point cloud recognition, CVPR, 2019.

27.   Lijie Liu, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou, Deep relational reasoning network for monocular 3D object detection, CVPR, 2019.

28.   Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, and Qi Tian, Learning channel-wise interactions for binary convolutional neural networks, CVPR, 2019.

29.   Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Enhanced Bayesian compression via deep reinforcement learning, CVPR, 2019.

30.   Shaohui Liu, Yi Wei, Wang Zhao, and Jiwen Lu, Conditional single-view shape generation for multi-view stereo reconstruction, CVPR, 2019.

31.   Minghao Guo, Jiwen Lu, and Jie Zhou, Dual-agent deep reinforcement learning for deformable face tracking, ECCV, 2018. (oral)

32.   Chunze Lin, Jiwen Lu, Gang Wang, and Jie Zhou, Graininess-aware deep feature learning for pedestrian detection, ECCV, 2018.

33.   Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou, Collaborative deep reinforcement learning for multi-object tracking, ECCV, 2018.

34.   Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Part-activated deep reinforcement learning for action prediction, ECCV, 2018.

35.   Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Towards optimal deep hashing via policy gradient, ECCV, 2018.

36.   Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, and Jie Zhou, Deep reinforcement learning with iterative shift for visual tracking, ECCV, 2018.

37.   Xudong Lin, Yueqi Duan, Jiwen Lu, and Jie Zhou, Deep variational metric learning, ECCV, 2018.

38.   Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, and Jie Zhou, Deep adversarial metric learning, CVPR, 2018.

39.   Yueqi Duan, Ziwei Wang, Jiwen Lu, Xudong Lin, and Jie Zhou, GraphBit: bitwise interaction mining via deep reinforcement learning, CVPR, 2018.

40.   Zhixiang Chen, Xin Yuan, Jiwen Lu, Qi Tian, and Jie Zhou, Deep hashing by discrepancy minimization, CVPR, 2018.

41.   Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, and Jie Zhou, Deep progressive reinforcement learning for skeleton-based action recognition, CVPR, 2018.

42.   Yongming Rao, Dahua Lin, Jiwen Lu, and Jie Zhou, Learning globally optimized object detector via policy gradient, CVPR, 2018.

43.   Ji Lin, Yongming Rao, Jiwen Lu, and Jie Zhou, Runtime neural pruning, NeurIPS, 2017.

44.   Yongming Rao, Jiwen Lu, and Jie Zhou, Attention-aware deep reinforcement learning for video based face recognition, ICCV, 2017.

45.   Yongming Rao, Ji Lin, Jiwen Lu, and Jie Zhou, Learning discriminative aggregation networks for video-based face recognition, ICCV, 2017.

46.   Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Cross-modal deep variational hashing, ICCV, 2017.

47.   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, ICCV, 2017.

48.   Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning deep binary descriptor with multi-quantization, CVPR, 2017.

49.   Ji Lin, Liangliang Ren, Jiwen Lu Jianjiang Feng, and Jie Zhou, Consistent-aware deep learning for person re-identification in a camera network, CVPR, 2017.

50.   Rahul Rama Varior, Bing Shuai, Jiwen Lu, Dong Xu, and Gang Wang, A Siamese long short term memory architecture for human re-identification, ECCV, 2016.

51.   Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou, Learning compact binary descriptors with unsupervised deep neural networks, CVPR, 2016.

52.   Anran Wang, Jianfei Cai, Jiwen Lu, and Tat Jen Cham, Modality and component aware feature fusion for RGB-D scene classification, CVPR, 2016.

53.   Jiwen Lu, Venice Erin Liong, and Jie Zhou, Simultaneous local binary feature learning and encoding for face recognition, ICCV, 2015.

54.   Lin Ma, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multiple feature fusion via weighted entropy for visual tracking, ICCV, 2015.

55.   Anran Wang, Jianfei Cai, Jiwen Lu, and Tat Jen Cham, MMSS: Multi-modal sharable and specific feature learning for RGB-D object recognition, ICCV, 2015.

56.   Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, and Bo Lang, Multi-view complementary hash tables for nearest neighbor search, ICCV, 2015.

57.   Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local subspace collaborated tracking, ICCV, 2015.

58.   Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, and Jie Zhou, Multi-manifold deep metric learning for image set classification, CVPR, 2015.

59.   Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou, Deep hashing for compact binary codes learning, CVPR, 2015.

60.   Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep transfer metric learning, CVPR, 2015.

61.   Jiwen Lu, Gang Wang, Weihong Deng, and Pierre Moulin, Simultaneous feature and dictionary learning for image set based face recognition, ECCV, 2014.

62.   Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tan, and Shenghua Gao, Efficient sparse estimation via marginal-lasso coding, ECCV, 2014.

63.   Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, and Tat-Jen Cham, Multi-modal unsupervised feature learning for RGB-D scene labeling, ECCV, 2014.

64.   Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Discriminative deep metric learning for face verification in the wild, CVPR, 2014.

65.   Jiwen Lu, Gang Wang, and Pierre Moulin, Image set classification using holistic multiple order statistics features and localized multi-kernel metric learning, ICCV, 2013.

66.   Renliang Weng, Jiwen Lu, Junlin Hu, Gao Yang, and Yap-Peng Tan, Robust feature set matching for partial face recognition, ICCV, 2013.

67.   Jiwen Lu, Junlin Hu, Xiuzhuang Zhou, Yuanyuan Shang, Yap-Peng Tan, and Gang Wang, Neighborhood repulsed metric learning for kinship verification, CVPR, 2012.

68.   Jiwen Lu, Yap-Peng Tan, and Gang Wang, Discriminative multi-manifold analysis for face recognition from a single training sample per person, CVPR, 2011.

69.   Jiwen Lu and Yap-Peng Tan, Cost-sensitive subspace learning for face recognition, CVPR, 2010.


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