[1] Jiwen Lu, Venice Erin Liong, and Jie Zhou, Deep hashing for scalable image search, IEEE Transactions on Image Processing, 2017. [PDF]
[2] Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Learning deep sharable and structural detectors for face alignment, IEEE Transactions on Image Processing, 2017. [PDF]
[3] 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. [PDF]
[4] 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, 2017. [PDF]
[5] Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Nonlinear discrete hashing, IEEE Transactions on Multimedia, 2017. [PDF]
[6] Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep video hashing, IEEE Transactions on Multimedia, 2017. [PDF]
[7] Venice Erin Liong, Jiwen Lu, Yap-Peng Tan, and Jie Zhou, Deep coupled metric learning for cross-modal matching, IEEE Transactions on Multimedia, 2017. [PDF]
[8] Xi Peng, Jiwen Lu, Zhan Yi, and Rui Yan, Automatic subspace learning via principal coefficients embedding, IEEE Transactions on Cybernetics, 2017. [PDF]
[9] Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Group-aware deep feature learning for facial age estimation, Pattern Recognition, 2017. [PDF]
[10] 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, Honolulu, July, 2017. [PDF]
[11] 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, Honolulu, July, 2017. [PDF]
[12] Yueqi Duan, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Topology preserving graph matching for partial face recognition, IEEE International Conference on Multimedia and Expo, Hong Kong, July, 2017 [PDF]
[13] Xin Yuan, Jiwen Lu, Zhixiang Chen, Jianjiang Feng, and Jie Zhou, Reconstruction-based supervised hashing, IEEE International Conference on Multimedia and Expo, Hong Kong, July, 2017. [PDF]
[14] Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Ordinal deep feature learning for facial age estimation, IEEE International Conference on Face and Gesture Recognition, 2017. [PDF]
[1] Kailin Ge, Han Hu, Jianjiang Feng, and Jie Zhou, Depth estimation using a sliding camera, IEEE Transactions on Image Processing, vol. 25, no. 2, pp. 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, vol. 25, no. 3, pp. 1163-1176, 2016. [PDF]
[3] 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. [PDF]
[4] Junlin Hu, Jiwen Lu, and Yap-Peng Tan, Deep metric learning for visual tracking, IEEE Transactions on Circuits and Systems for Video Technology, 2016. [PDF]
[5] Yijing Su, Jianjiang Feng, and Jie Zhou, Fingerprint indexing with pose constraint, Pattern Recognition, vol. 54, pp. 1-13, 2016. [PDF]
[6] 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. [PDF]
[7] 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. [PDF]
[8] 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 [PDF]
[9] 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. [PDF]
[10] 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. [PDF]
[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. [PDF]
[12] Kevin Lin, Jiwen Lu, Chu-Song Chen, and Jie Zhou, Learning compact binary descriptors with unsupervised deep neural networks, CVPR, 2016 [PDF]
[13] 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. [PDF]
[14] 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. [PDF]
[15] 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. [PDF]
[16] Jiwen Lu, Junlin Hu, and Yap-Peng Tan, Nonlinear metric learning for visual tracking, IEEE International Conference on Multimedia and Expo, Seattle, Jul., 2016. [PDF]
[17] Junlin Hu, Jiwen Lu, Junsong Yuan, and Yap-Peng Tan, Collaborative multi-view metric learning for visual classification, IEEE International Conference on Multimedia and Expo, Seattle, Jul., 2016 [PDF]
[1] 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. 2041-2256, 2015 [PDF]
[2] 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. [PDF]
[3] AnranWang, 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. [PDF]
[4] X Si, J Feng, J Zhou, Y Luo, Detection and Rectification of Distorted Fingerprints, Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (3), 555-568 [PDF]
[5] H Hu, J Feng, J Zhou, Exploiting unsupervised and supervised constraints for subspace clustering, Pattern Analysis and Machine Intelligence, IEEE Transactions on 37 (8),1542-1557 [PDF]
[6] 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. [PDF]
[7] 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. [PDF]
[8] 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. [PDF]
[9] 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. [PDF]
[10] Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou, Multiple Feature Fusion via Weighted Entropy for Visual Tracking, Proceedings of the IEEE International Conference on Computer Vision,3128-3136,2015. [PDF]
[11] Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local subspace collaborated tracking, IEEE International Conference on Computer Vision (ICCV'15), Santiago, Dec., 2015. [PDF]
[12] 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'15), Boston, Jun., 2015. [PDF]
[13] Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, and Bo Lang, Multi-view complementary hash tables for nearest neighb or search, IEEE International Conference on Computer Vision (ICCV'15), Santiago, Dec., 2015 [PDF]
[14] 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'15), Boston, Jun., 2015. [PDF]
[15] L Ma, J Lu, J Feng, J Zhou, Multiple Feature Fusion via Weighted Entropy for Visual Tracking, Proceedings of the IEEE International Conference on Computer Vision, 3128-3136 [PDF]
[16] K Ge, J Feng, J Zhou, Dense and continuous depth estimation using a sliding camera, Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on,1181-1185 [PDF]
[17] Y Luo, J Feng, M Xu, J Zhou, JK Min, G Xiong, Registration of coronary arteries in computed tomography angiography images using Hidden Markov Model, Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE,1993-1996 [PDF]
[18] 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 [PDF]
[19] 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. [PDF]
[20] 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. [PDF]
[21] Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local subspace collaborated tracking, IEEE International Conference on Computer Vision, Santiago, Dec., 2015. [PDF]
[1] Heng Su, Ying Wu, Jie Zhou, Super-resolution without Dense Flow, IEEE Transactions on Image Processing (TIP), 21(4):1782-1795,2012. [PDF]
[2] Heng Su, Liang Tang, Ying Wu, Daniel Tretter, Jie Zhou, Spatially Adaptive Block-based Super-resolution, IEEE Transactions on Image Processing (TIP), 21(3): 1031-1045,2012. [PDF]
[3] 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 [PDF]
[4] 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. 2, pp. 944-953, 2012 [PDF]
[5] 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 [PDF]
[6] 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]
[7] 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]
[8] 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]
[9] Dingrui Wan and Jie Zhou, Self-calibration of Spherical Rectification for a Dual-PTZ-camera System, Image and Vision Computing (IVC), 28(3):367-375, 2010. [PDF]
[10] 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]
[11] 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 (PAMI), 31(7):1239-1250, 2009. [PDF]
[12] Xi Wang, Chunyu Yang, Jie Zhou, Clustering aggregation by probability accumulation, Pattern Recognition (PR) 42(5): 668-675, 2009. [PDF]
[13] Jie Zhou, Fanglin Chen, Nannan Wu, Chenyu Wu, Crease detection from fingerprint images and its applications in elderly people, Pattern Recognition (PR) 42(5): 896-906, 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 and Jie Zhou, Non-stationary Data Sequence Classification Using Online Class Priors Estimation., Pattern Recognition (PR), 41(8): 2656-2664, 2008. [PDF]
[17] Lin Zhu, Jie Zhou, Jingyan Song, Tracking multiple objects through occlusion with online sampling and position estimation, Pattern Recognition (PR) 41(8): 2447-2460, 2008. [PDF]
[18] Dingrui Wan, Jie Zhou, Stereo vision using two PTZ cameras, Computer Vision and Image Understanding (CVIU) 112(2): 184-194, 2008 [PDF]
[19] Lin Zhu, Jie Zhou, Jingyan Song, Zhenlei Yan and Quanquan Gu, A practical algorithm for learning scene information from monocular video, Optics Express 16(3): 1448-1459, 2008. [PDF]
[20] WAN Ding-rui, ZH0U Jie, Calibration of Dual-PTZ-camera System, Journal of Image and Graphics. 2008. (in Chinese) [PDF]
[21] Chunyu Yang and Jie Zhou, A Heterogeneous Data Stream Clustering Algorithm, Chinese Journal of Computers, 30(8): 1364-1371, 2007. [PDF]
[22] Jianyu Li and Jie Zhou, Chinese Character Structure Analysis Based on Complex Networks, Physica A?380: 629-638, 2007. [PDF]
[23] 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 (PAMI), 28(1):91-105, 2006. [PDF]
[24] Dingrui Wan , Jie Zhou, Fingerprint Recognition Using Model-based Density Map, IEEE Transactions on Image Processing (TIP). July, 2006. [PDF]
[25] Jinwei Gu, Jie Zhou, Fingerprint Recognition by Combining Global Structure and Local Cues, IEEE Transactions on Image Processing (TIP). 2006. [PDF]
[26] Jie Zhou, Dashan Gao, David Zhang, Robust Moving Vehicle Detection for Automatic Traffic Monitoring, IEEE Transactions on Vehicular Technology. 2007. [PDF]
[27] 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]
[28] Jie Zhou, Jinwei Gu, Modeling Orientation Field of Fingerprints with Rational Complex Functions., Pattern Recognition (PR). 37(2):389-391, 2004. [PDF]
[29] Jinwei Gu, Jie Zhou, David Zhang, A combination Model for orientation Field of Fingerprints, Pattern Recognition (PR). 37(3):543-553, 2004. [PDF]
[30] Jie Zhou, L. Xin, David Zhang, Scale-Orientation Histogram for Texture Image Retrieval, Pattern Recognition (PR). 36(4):1061-1063, 2003. [PDF]
[31] 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 SMC, Part A. 32(6):2002. [PDF]
[32] Jie Zhou, X. Lu, David Zhang and C. Wu, Orientation analysis for rotated human face detection, Image and Vision Computing (IVC). 20(4):257-264, 2002. [PDF]
[33] J Feng, J Zhou, A Jain, Orientation field estimation for latent fingerprint enhancement, Pattern Analysis and Machine Intelligence, IEEE Transactions on 35 (4), 925-940 [PDF]
[34] H Hu, J Feng, C Yu, J Zhou, Multi-Class Constrained Normalized Cut with Hard, Soft, Unary and Pairwise Priors, Image Processing, IEEE Transactions on 22 (11), 4328-4340 [PDF]
[35] X Yang, J Feng, J Zhou, Localized dictionaries based orientation field estimation for latent fingerprints, Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (5), 955-969 [PDF]
[36] X Xu, L Tian, J Feng, J Zhou, OSRI: a rotationally invariant binary descriptor, Image Processing, IEEE Transactions on 23 (7), 2983-2995 [PDF]
[37] Peng Sun, Jie Zhou, Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner, The 30th International Conference on Machine Learning (ICML 2013), 2013 [PDF]
[38] Zhenlei Yan, Jie Zhou, A New Approach to Answerer Recommendation in Community Question Answering Services, The 34th European Conference on Information Retrieval (ECIR 2012), 2012 [PDF]
[39] Zhenlei Yan, Jie Zhou, User Recommendation with Tensor Factorization in Social Networks, The 37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012), 2012 [PDF]
[40] Peng Sun, Mark D. Reid, Jie Zhou, AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problems, The 29th International Conference on Machine Learning (ICML 2012), 2012 [PDF]
[41] Heng Su, Ying Wu, Jie Zhou, Adaptive Incremental Video Super-resolution with Temporal Consistency, Proceedings of IEEE International Conference on Image Processing 2011 (ICIP 2011), 2011, 1173-1176. [PDF]
[42] Quanquan Gu, Jie Zhou, Chris Ding, Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs, The 10th SIAM International Conference on Data Mining (SDM), Columbus, OH, USA, 2010: 199-210. [PDF]
[43] Han Hu, Quanquan Gu and Jie Zhou, HTF: A Novel Feature for General Crack Detection., IEEE Conference on Image Processing (ICIP), Hong Kong, China, September, 2010. [PDF]
[44] Han Hu and Jie Zhou, Trajectory Matching from unsynchronized videos, IEEE Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, June 2010. [PDF]
[45] Quanquan Gu, Jie Zhou, Learning the Shared Subspace for Multi-Task Clustering and Transductive Transfer Classification,, The 9th IEEE International Conference on Data Mining (ICDM), Miami, Florida, USA, 2009: 159-168. [PDF]
[46] Quanquan Gu, Jie Zhou, Subspace Maximum Margin Clustering, The 18th ACM Conference on Information and Knowledge Management (CIKM), Hong Kong, China, 2009: 1337-1346. [PDF]
[47] Quanquan Gu, Jie Zhou, Multiple Kernel Maximum Margin Criterion, The 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 2009: 2049-2052. [PDF]
[48] Quanquan Gu, Jie Zhou, Two Dimensional Nonnegative Matrix Factorization, The 16th IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, 2009: 2069-2072. [PDF]
[49] Xiangyu Tang, Chunyu Yang and Jie Zhou, Stock Price Forecasting by Combining News Mining and Time Series Analysis, IEEE/WIC/ACM International Conference on Web Intelligence (WI). 2009 [PDF]
[50] Quanquan Gu, Jie Zhou, Neighborhood Preserving Nonnegative Matrix Factorization, The 20th British Machine Vision Conference (BMVC), London, 2009. [PDF]
[51] Han Hu, Quanquan Gu, Lei Deng and Jie Zhou, Multiframe Motion Segmentation via Penalized MAP Estimation and Linear Programming, The 20th British Machine Vision Conference (BMVC), London, UK, 2009 [PDF]
[52] Quanquan Gu, Jie Zhou, Transductive Classification via Dual Regularization, the 19th European Conference on Machine Learning (ECML), Bled, Slovenia, 2009: 439-454. [PDF]
[53] Quanquan Gu, Jie Zhou, Co-clustering on Manifolds, the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Paris, France, 2009: 359-368. [PDF]
[54] Quanquan Gu, Jie Zhou, Local Learning Regularized Nonnegative Matrix Factorization, The 21st International Joint Conference on Artificial Intelligence (IJCAI). Pasadena, California, USA, 2009: 1046-1051. [PDF]
[55] Quanquan Gu, Jie Zhou, Local Relevance Weighted Maximum Margin Criterion for Text Classification, The 9th SIAM International Conference on Data Mining (SDM), John Ascuaga's Nugget, Sparks, Nevada, USA, 2009: 1135-1146. [PDF]
[56] Linxing Xiao, Lu L, Seide F and Jie Zhou, Learning a Music Similarity Measure on Automatic Annotations with Application to Playlist Generation, Proceedings of IEEE International Conference on Acoustic, Speech and Signal Processing(ICASSP), Taipei, Taiwan, 2009, 1885-1888 [PDF]
[57] Quanquan Gu, Jie Zhou, Regular Simplex Criterion: A Novel Feature Extraction Criterion, The 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, 2009: 1581-1584. [PDF]
[58] Quanquan Gu, Jie Zhou, Two Dimensional Maximum Margin Criterion, The 34th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Taipei, Taiwan, 2009: 1621-1624. [PDF]
[59] Aibo Tian, Wen Li, Linxing Xiao, Jie Zhou, Histogram Matching for Music Repetition Detection, Proceedings of IEEE International Conference of Multimedia and Expo.(ICME), 2009 [PDF]
[60] Quanquan Gu, Jie Zhou, A Similarity Measure under Log-Euclidean Metric for Stereo Matching, The 19th IEEE International Conference on Pattern Recognition (ICPR), Tampa, Florida, USA, 2008, page1-4. [PDF]
[61] Xi Wang, Chunyu Yang, Jie Zhou, Spectral aggregation for clustering ensemble, (ICPR) 2008: 1-4 [PDF]
[62] Quanquan Gu, Jie Zhou, Belief propagation on Riemannian manifold for stereo matching, The 15th IEEE International Conference on Image Processing (ICIP), San Diego, California, USA, 2008: 1788-1791. [PDF]
[63] Heng Su, Liang Tang, Daniel Tretter, Jie Zhou, A practical and adaptive framework for super-resolution, (ICIP) 2008: 1236-1239 [PDF]
[64] Quanquan Gu, Jie Zhou, A novel similarity measure under Riemannian metric for stereo matching, The 33rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, Nevada, USA, 2008: 1073-1076. [PDF]
[65] Linxing Xiao, Jie Zhou, Using chroma histogram to measure the perceptual similarity of music, Proceedings of IEEE International Conference of Multimedia and Expo. (ICME) 2008: 1317-1320 [PDF]
[66] Linxing Xiao, Jie Zhou, Tong Zhang, Using dtw based unsupervised segmentation to improve the vocal part detection in pop music, Proceedings of IEEE International Conference of Multimedia and Expo. (ICME) 2008: 1193-1196 [PDF]
[67] Linxing Xiao, Aibo Tian, Wen Li, Jie Zhou, Using A Statistic Model To Capture The Association Between Timbre And Perceived Tempo, In proceedings of International Conference on Music Information Retrieval (ISMIR), 2008 [PDF]
[68] Dingrui Wan, Jie Zhou, David Zhang, A SPHERICAL RECTIFICATION FOR DUAL-PTZ-CAMERA SYSTEM, The 32nd International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 15-20, 2007, Honolulu, Hawaii, USA [PDF]
[69] Xiaoke Qin, Liang Tang and Jie Zhou, Object extraction by spatial-temporal assembling, In Proceedings of International Conference on Image Processing 2007 (ICIP). [PDF]
[70] Jie Zhou, Jinwei Gu, David Zhang, Singular Points Analysis in Fingerprints Based on Topological Structure and Orientation Field, ICB 2007: 261-270 [PDF]
[71] N. Wu and J. Zhou, Model based algorithm for singular point detection from fingerprint images, Proceedings of IEEE Conference on Image Processing (ICIP). 2:885-888, 2004. [PDF]
[72] Z. Fan, J. Zhou, Y. Wu. , Multibody Motion Segmentation Based on Simulated Annealing, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR). 1:776-781, 2004. [PDF]
[73] Z. Fan, J. Zhou, Y. Wu, Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR). 2:661-666, 2004. [PDF]
[74] Y. Zhang, J. Zhou, Audio Segmentation Based On Multi-Scale Audio Classification, Proceedings of International Conference of ASSP (ICASSP). 4:349-352, 2004. [PDF]
[75] Jinwei Gu, Jie Zhou, A Novel Model for Orientation Field of Fingertips, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), USA. 2:493-498, 2003. [PDF]
[76] Jinwei Gu, Jie Zhou, Model based Orientation Extraction for Fingerprint Recognition, Proceedings of IEEE Conference on Image Processing (ICIP), Spain. 2:899-902, 2003. [PDF]
[77] C. Wu, J. Zhou, Z. Bian and G. Rong, Detecting Creases in the Fingerprint, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), USA. 2: 505-510, 2003. [PDF]
[78] Jie Zhou, David Zhang, Face Recognition by Combining Several Algorithms, Proceedings of 16th International Conference on Pattern Recognition (ICPR), Canada. 3:497-500, 2002. [PDF]
[79] Zhimin Fan, Jie Zhou, Dashan Gao, and Gang Rong, Robust Contour Extraction for Moving Vehicle Tracking, Proceedings of International Conference of Image Processing (ICIP), USA. 3:625-628, 2002. [PDF]
[80] Jie Zhou, etc, Automatic Cartridge Identification for Firearm authentication, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), USA. 1: 749-754, 2001. [PDF]
[81] Dashan Gao, Jie Zhou, L. Xin, A novel algorithm of Adaptive background estimation, Proceedings of 2001 International Conference on Image Processing (ICIP)..2: 395-398, 2001. [PDF]
[82] Dashan Gao, Jie Zhou, L. Xin, SVM-based detection of Moving vehicles for automatic traffic monitoring, Proceedings of IEEE International conference on Intelligent Transportation Systems, USA. 745-749, 2001. [PDF]
[83] H Hu, Z Lin, J Feng, J Zhou, Smooth representation clustering, Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, Columbus, OH, 2014, pp. 3834-3841. doi: 10.1109/CVPR.2014.484 [PDF]
[84] X Si, J Feng, J Zhou, Enhancing latent fingerprints on banknotes, Biometrics (IJCB), 2014 IEEE International Joint Conference on, 1-8 [PDF]
[85] Y Luo, J Feng, J Zhou, Fingerprint matching based on global minutia cylinder code, Biometrics (IJCB), 2014 IEEE International Joint Conference on, 1-8 [PDF]