[1] Jiwen Lu, Junlin Hu, and Jie Zhou, Deep metric learning for visual understanding, IEEE Signal Processing Magazine (SPM), 2017. [PDF]
[2] 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 (TPAMI), 2017. [PDF]
[3] 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 (TPAMI), 2017. [PDF]
[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 (TPAMI), 2017. [PDF]
[5] Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Sharable and individual multi-view metric learning, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017. [PDF]
[6] Jiwen Lu, Venice Erin Liong, and Jie Zhou, Deep hashing for scalable image search, IEEE Transactions on Image Processing (TIP), 26(5): 2352-2367, 2017. [PDF]
[7] Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning deep sharable and structural detectors for face alignment, IEEE Transactions on Image Processing (TIP), 26(4): 1666-1678, 2017. [PDF]
[8] Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning rotation-invariant local binary descriptor, IEEE Transactions on Image Processing (TIP), 26(8): 3636-3651, 2017. [PDF]
[9] Jiwen Lu, Gang Wang, and Jie Zhou, Simultaneous feature and dictionary learning for image set based face recognition, IEEE Transactions on Image Processing (TIP), 26(8): 4042-4054, 2017 [PDF]
[10] Jiwen Lu, Junlin Hu, and Yap-Peng Tan, Discriminative deep metric learning for face and kinship verification, IEEE Transactions on Image Processing (TIP), 26(9): 4269-4282, 2017. [PDF]
[11] 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 (TCSVT), 2017. [PDF]
[12] Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Deep hashing for scalable image search, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 26(5): 2352-2367, 2017. [PDF]
[13] Junlin Hu, J 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 (TCSVT), 2017. [PDF]
[14] 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 (TIFS), 2017. [PDF]
[15] Shan Gu, Jianfeng Feng, Jiwen Lu, and Jie Zhou, Efficient rectification of distorted fingerprints, IEEE Transactions on Information Forensics and Security (TIFS), 2017. [PDF]
[16] Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear discrete hashing, IEEE Transactions on Multimedia (TMM), 19(1): 123-135, 2017. [PDF]
[17] Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep video hashing, IEEE Transactions on Multimedia (TMM), 19(6): 1209-1219, 2017. [PDF]
[18] Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep coupled metric learning for cross-modal matching, IEEE Transactions on Multimedia (TMM), 19(6): 1234-1244, 2017. [PDF]
[19] Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear sparse hashing, IEEE Transactions on Multimedia (TMM), 19(9): 1996-2009, 2017. [PDF]
[20] Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Group-aware deep feature learning for facial age estimation, Pattern Recognition (PR), 66: 82-94, 2017. [PDF]
[21] Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multi-Modal Uniform Deep Learning for RGB-D Person Re-identification, Pattern Recognition (PR), 72: 446-457, 2017. [PDF]
[22] Ji Lin, Yongming Rao, Jiwen Lu, and Jie Zhou, Runtime neural pruning, Advances in Neural Information Processing Systems (NIPS), 2017. [PDF]
[23] Yueqi Duan, Jiwen Lu, Ziwei Wang, Jianjiang Feng, and Jie Zhou, Learning deep binary descriptor with multi-quantization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]
[24] Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Consistent-aware deep learning for person re-identification in a camera network, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]
[25] Yongming Rao, Jiwen Lu, and Jie Zhou, Attention-aware deep reinforcement learning for video based face recognition, IEEE International Conference on Computer Vision (ICCV), 2017. [PDF]
[26] Yongming Rao, Ji Lin, Jiwen Lu, and Jie Zhou, Learning discriminative aggregation networks for video-based face recognition, IEEE International Conference on Computer Vision (ICCV), 2017. [PDF]
[27] Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Cross-modal deep variational hashing, IEEE International Conference on Computer Vision (ICCV), 2017. [PDF]
[1] Kailin Ge, Han Hu, Jianjiang Feng, and Jie Zhou, Depth estimation using a sliding camera, IEEE Transactions on Image Processing (TIP), 25(2): 726-739, 2016. [PDF]
[2] Renliang Weng, Jiwen Lu, and Yap-Peng Tan, Robust point set matching for partial face recognition, IEEE Transactions on Image Processing (TIP), 25(3): 1163-1176, 2016. [PDF]
[3] Junlin Hu, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep transfer metric learning, IEEE Transactions on Image Processing (TIP), 25(12): 5576-5588, 2016. [PDF]
[4] 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 (TCSVT), 26(3): 529-540, 2016. [PDF]
[5] Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep metric learning for visual tracking, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 26(11): 2056-2068, 2016. [PDF]
[6] Renliang Weng, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Learning cascaded deep auto-encoder networks for face alignment, IEEE Transactions on Multimedia (TMM), 18(10): 2066-2078, 2016. [PDF]
[7] Yijing Su, Jianjiang Feng, and Jie Zhou, Fingerprint indexing with pose constraint, Pattern Recognition (PR), 54: 1-13, 2016. [PDF]
[8] Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou, Learning compact binary descriptors with unsupervised deep neural networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1183-1192, 2016. [PDF]
[1] Xuanbin Si, Jianjiang Feng, Jie Zhou, and Yuxuan Luo, Detection and Rectification of Distorted Fingerprints, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 37(3): 555-568, 2015. [PDF]
[2] Han Hu, Jianjiang Feng, and Jie Zhou, Exploiting unsupervised and supervised constraints for subspace clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 37(8): 1542-1557, 2015. [PDF]
[3] 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 (TPAMI), 37(10): 2041-2056, 2015. [PDF]
[4] Jiwen Lu, Venice Erin Liong, and Jie Zhou, Cost-sensitive local binary feature learning for facial age estimation, IEEE Transactions on Image Processing (TIP), 24(12): 5356-5368, 2015. [PDF]
[5] Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, and Jie Zhou, Multimanifold deep metric learning for image set classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1137-1145, 2015. [PDF]
[6] Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou, Deep hashing for compact binary codes learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2475-2483, 2015. [PDF]
[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 (ICCV), 3128-3136, 2015. [PDF]
[8] Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local subspace collaborated tracking, IEEE International Conference on Computer Vision (ICCV), 4301-4309, 2015. [PDF]
[9] 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), 3721-3729, 2015. [PDF]
[1] 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 (TPAMI), 36(2): 331-345, 2014 [PDF]
[2] Xiao Yang, Jiangjiang Feng, and Jie Zhou, Localized dictionaries based orientation field estimation for latent fingerprints, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(5): 955-969, 2014. [PDF]
[3] Xianwei Xu, Lu Tian, Jiangjing Feng, and Jie Zhou, OSRI: a rotationally invariant binary descriptor, IEEE Transactions on Image Processing (TIP), 23(7): 2983-2995, 2014. [PDF]
[4] Jianjiang Feng, Jie Zhou,and Anil K. Jain, Orientation field estimation for latent fingerprint enhancement, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 35(4), 925-940, 2013. [PDF]
[5] Han Hu, Jianjiang Feng, Chuan Yu, and Jie Zhou, Multi-Class Constrained Normalized Cut with Hard, Soft, Unary and Pairwise Priors, IEEE Transactions on Image Processing (TIP), 22(11): 4328-4340, 2013. [PDF]
[6] Jifeng Dai, Jianjiang Feng and Jie Zhou, Robust and Efficient Ridge-Based Palmprint Matching, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34(8): 1618-1632, 2012. [PDF]
[7] Heng Su, Ying Wu, and Jie Zhou, Super-resolution without Dense Flow, IEEE Transactions on Image Processing (TIP), 21(4): 1782-1795, 2012. [PDF]
[8] Heng Su, Liang Tang, Ying Wu, Daniel Tretter, and Jie Zhou, Spatially Adaptive Block-based Super-resolution, IEEE Transactions on Image Processing (TIP), 21(3): 1031-1045, 2012. [PDF]
[9] 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 (TIP), 21(2): 789-801, 2012 [PDF]
[10] 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 (TIFS), 7(2): 944-953, 2012 [PDF]
[11] Jifeng Dai, Jie Zhou, Multi-feature Based High-resolution Palmprint Recognition, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 33(5): 945-957, 2011. [PDF]
[12] Jie Zhou, Han Hu and Dingrui Wan, Video Stabilization and Completion Using Two Cameras, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 21(12): 1879-1889, 2011. [PDF]
[13] Jie Zhou, Fanglin Chen, and Jinwei Gu, A Novel Algorithm for Detecting Singular Points from Fingerprint Images, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 31(7): 1239-1250, 2009. [PDF]
[14] Fanglin Chen, Chunyu Yang and Jie Zhou, Reconstructing Orientation Field From Fingerprint Minutiae to Improve Minutiae-Matching Accuracy, IEEE Transactions on Image Processing (TIP), 18(7): 1665-1670, 2009. [PDF]
[15] Dingrui Wan, Jie Zhou, Multiresolution and Wide-Scope Depth Estimation Using a Dual-PTZ-Camera System, IEEE Transactions on Image Processing (TIP), 18(3): 677-682, 2009. [PDF]
[16] Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou and Ji-Rong Wen, Closing the Loop in Webpage Understanding, IEEE Transactions on Knowledge and Data Engineering (TKDE), 22(5): 639-650, 2009. [PDF]
[17] Xi Wang, Chunyu Yang, and Jie Zhou, Clustering aggregation by probability accumulation, Pattern Recognition (PR), 42(5): 668-675, 2009. [PDF]
[18] Jie Zhou, Fanglin Chen, Nannan Wu, and Chenyu Wu, Crease detection from fingerprint images and its applications in elderly people, Pattern Recognition (PR), 42(5): 896-906, 2009. [PDF]
[19] Chunyu Yang, Jie Zhou, Non-stationary Data Sequence Classification Using Online Class Priors Estimation., Pattern Recognition (PR), 41(8): 2656-2664, 2008. [PDF]
[20] Lin Zhu, Jie Zhou, and Jingyan Song, Tracking multiple objects through occlusion with online sampling and position estimation, Pattern Recognition (PR), 41(8): 2447-2460, 2008. [PDF]
[21] Jie Zhou, Dashan Gao, and David Zhang, Robust Moving Vehicle Detection for Automatic Traffic Monitoring, IEEE Transactions on Vehicular Technology (TVT), 56(1): 51-59, 2007. [PDF]
[22] Zhimin Fan, Jie Zhou and Ying Wu, Multibody Grouping by Inference of Multiple Subspaces from High-Dimensional Data Using Oriented-Frames, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 28(1): 91-105, 2006. [PDF]
[23] Dingrui Wan , Jie Zhou, Fingerprint Recognition Using Model-based Density Map, IEEE Transactions on Image Processing (TIP), 15(6): 1690-1696, 2006. [PDF]
[24] Jinwei Gu, Jie Zhou, and Chunyu Yang, Fingerprint Recognition by Combining Global Structure and Local Cues, IEEE Transactions on Image Processing (TIP), 15(7): 1952-1964, 2006. [PDF]
[25] Jie Zhou, Jinwei Gu, A Model-based Method for the Computation of Fingerprints' Orientation Field., IEEE Transactions on Image Processing (TIP), 13(6): 821-835, 2004. [PDF]
[26] Jie Zhou, Jinwei Gu, Modeling Orientation Field of Fingerprints with Rational Complex Functions., Pattern Recognition (PR). 37(2): 389-391, 2004. [PDF]
[27] Jinwei Gu, Jie Zhou, and David Zhang, A combination Model for orientation Field of Fingerprints, Pattern Recognition (PR). 37(3): 543-553, 2004. [PDF]
[28] Jie Zhou, L. Xin, and David Zhang, Scale-Orientation Histogram for Texture Image Retrieval, Pattern Recognition (PR). 36(4): 1061-1063, 2003. [PDF]
[29] David Zhang, H. Peng, Jie Zhou, and S. K. Pal, A Novel Face Recognition System Using Hybrid Neural and Dual Eigenspaces Methods, IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans (TSMC), 32(6): 787-793, 2002. [PDF]
[30] Han Hu, Zhouchen Lin, Jianjiang Feng, and Jie Zhou, Smooth representation clustering, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3834-3841, 2014. [PDF]
[31] Xuanbin Si, Jiangjiang Feng, and Jie Zhou, Enhancing latent fingerprints on banknotes, IEEE International Joint Conference on Biometrics (IJCB), 1-8, 2014. [PDF]
[32] Yuxuan Luo, Jiangjiang Feng, and Jie Zhou, Fingerprint matching based on global minutia cylinder code, IEEE International Joint Conference on Biometrics (IJCB), 1-8, 2014. [PDF]
[33] Peng Sun, Jie Zhou, Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner, International Conference on Machine Learning (ICML), 933-941, 2013. [PDF]
[34] Peng Sun, Mark D. Reid, and Jie Zhou, AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problems, International Conference on Machine Learning (ICML), 1087-1094, 2012. [PDF]
[35] Han Hu, Jie Zhou, Trajectory Matching from unsynchronized videos, IEEE Computer Vision and Pattern Recognition (CVPR), 1347-1354, 2010. [PDF]
[36] Quanquan Gu, Jie Zhou, and Chris Ding, Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs, SIAM International Conference on Data Mining (SDM), 199-210, 2010. [PDF]
[37] Quanquan Gu, Jie Zhou, Co-clustering on Manifolds, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 359-368, 2009. [PDF]
[38] Quanquan Gu, Jie Zhou, Local Learning Regularized Nonnegative Matrix Factorization, International Joint Conference on Artificial Intelligence (IJCAI), 1046-1051, 2009. [PDF]
[39] Quanquan Gu, Jie Zhou, Learning the Shared Subspace for Multi-Task Clustering and Transductive Transfer Classification,, IEEE International Conference on Data Mining (ICDM), 159-168, 2009. [PDF]
[40] Quanquan Gu, Jie Zhou, Local Relevance Weighted Maximum Margin Criterion for Text Classification, SIAM International Conference on Data Mining (SDM), 1135-1146, 2009. [PDF]
[41] Quanquan Gu, Jie Zhou, Neighborhood Preserving Nonnegative Matrix Factorization, British Machine Vision Conference (BMVC), 1-10, 2009. [PDF]
[42] Han Hu, Quanquan Gu, Lei Deng and Jie Zhou, Multiframe Motion Segmentation via Penalized MAP Estimation and Linear Programming, British Machine Vision Conference (BMVC), 1-10, 2009. [PDF]
[43] Quanquan Gu, Jie Zhou, Transductive Classification via Dual Regularization, European Conference on Machine Learning (ECML), 439-454, 2009. [PDF]
[44] Jie Zhou, Jinwei Gu, and David Zhang, Singular Points Analysis in Fingerprints Based on Topological Structure and Orientation Field, International Conference on Biometrics (ICB), 261-270, 2007. [PDF]
[45] Zhimin Fan, Jie Zhou, and Ying Wu. , Multibody Motion Segmentation Based on Simulated Annealing, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 776-781, 2004. [PDF]
[46] Zhimin Fan, Jie Zhou, and Ying Wu., Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 661-666, 2004. [PDF]
[47] Jinwei Gu, Jie Zhou, A Novel Model for Orientation Field of Fingertips, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 493-498, 2003. [PDF]
[48] Chenyu Wu, Jie Zhou, Zhaoqi Bian and Gang Rong, Robust crease detection in fingerprint images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 505-510, 2003. [PDF]
[49] Jie Zhou, Leping Xin, Dashan Gao, Changshui Zhang, and David Zhang, Automatic Cartridge Identification for Firearm authentication, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 749-754, 2001. [PDF]