論文專著：
發(fā)表英文論文：
近年來在國內(nèi)外學(xué)術(shù)刊物及國際會議上發(fā)表論文50多篇。其中在國際期刊（包括IEEE Transaction on Pattern Analysis and Machine Intelligence、IEEE Trans on Image Processing、Pattern Recognition等本專業(yè)權(quán)威期刊）上發(fā)表論文14篇（其中影響因子超過2的8篇），SCI索引18篇、SCI他引53次。在國際CVPR大會上發(fā)表6篇論文。相關(guān)研究成果受到國際同行的高度評價(jià)。
1. 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, to appear
3. Zhixiang Chen, Jiwen Lu, Jianjiang Feng, and Jie Zhou. Nonlinear Discrete Hashing. IEEE Trans. on Multimedia, to appear
4. Venice Erin Liong, Jiwen Lu, Yap-Pen Tan, and Jie Zhou. Deep Coupled Metric Learning for Cross-modal Matching. IEEE Trans. on Multimedia, to appear
5. Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou. Group-Aware Deep Feature Learning for Facial Age Estimation. Pattern Recognition, to appear
6. Xuanbin Si, Jianjiang Feng, Bo Yuan, and Jie Zhou. Dense Registration of Fingerprints. Pattern Recognition, to appear
7. Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou, Deep embedding learning with discriminative sampling policy, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
8. Wenzhao Zheng, Jiwen Lu, Zhaodong Chen, and Jie Zhou, Hardness-aware deep metric learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
9. Ziwei Wang, Jiwen Lu, Chenxi Tao, and Jie Zhou, Learning channel-wise interactions for binary convolutional neural networks, IEEE/CVF Computer Society Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
10. Xin Yuan, Liangliang Ren, Jiwen Lu, and Jie Zhou, Enhanced Bayesian compression via deep reinforcement learning, IEEE/CVF Computer Society Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
11. Yueqi Duan, Lei Chen, Jiwen Lu, and Jie Zhou, Deep embedding learning with discriminative sampling policy, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Bench, June, 2019.
12.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, 2019.
13.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, 2019.
14.Lijie Liu, Jiwen Lu*, Chunjing Xu, Qi Tian, Jie Zhou, Deep Relational Reasoning Network for Monocular 3D Object Detection, CVPR, 2019.
15.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.
16.Yueqi Duan, Yu Zheng, Jiwen Lu*, Jie Zhou, and Qi Tian, Structural Relational Reasoning of Point Clouds, CVPR, 2019.
17.Yongming Rao, Jiwen Lu*, and Jie Zhou, Spherical Fractal Convolution Neural Networks for Point Cloud Recognition, CVPR, 2019.
18.Yueqi Duan, Jiwen Lu, and Jie Zhou, UniformFace: Learning deep Equidistributed representation for face recognition, IEEE International Conference on Computer Vision and Pattern Recognition, 2019.
19.Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, and Qi Tian, BridgeNet: a continuity-aware Probabilistic Network for Age Estimation, IEEE International Conference on Computer Vision and Pattern Recognition, 2019.
20.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, 2019.
21. 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, 2018, accepted.
22. 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, 2018, accepted.
23. 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, 2018, accepted.
24. 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.
25. 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.
26. Yueqi Duan, Ziwei Wang, Jiwen Lu*, Xudong Lin, and Jie Zhou, GraphBit: bitwise interaction mining via deep reinforcement learning, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
27. Xin Yuan, Liangliang Ren, Jiwen Lu*, and Jie Zhou, Relaxation-free deep hashing via policy gradient, European Conference on Computer Vision, Munich, Sep., 2018.
28. Zhixiang Chen, Xin Yuan, Jiwen Lu*, Qi Tian, and Jie Zhou, Deep hashing by discrepancy minimization, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
29. 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.
30. 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, 2018, accepted.
31. Xudong Lin, Yueqi Duan, Qiyuan Dong, Jiwen Lu, and Jie Zhou, Deep variational metric learning, European Conference on Computer Vision, Munich, Sep., 2018.
32. Yueqi Duan, Wenzhao Zheng, Xudong Lin, Jiwen Lu, and Jie Zhou, Deep adversarial metric learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
33. Yongming Rao, Jiwen Lu, Ji Lin, and Jie Zhou, Runtime network routing for efficient image classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, accepted.
34. 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, 2018, accepted.
35. Minghao Guo, Jiwen Lu, and Jie Zhou, Dual-agent deep reinforcement learning for deformable face tracking, European Conference on Computer Vision, Munich, Sep., 2018.
36. Lei Chen, Jiwen Lu, Zhanjie Song, and Jie Zhou, Part-activated deep reinforcement learning for action prediction, European Conference on Computer Vision, Munich, Sep., 2018.
37. Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, and Jie Zhou, Deep reinforcement learning with iterative shift for visual tracking, European Conference on Computer Vision, Munich, Sep., 2018.
38. Liangliang Ren, Jiwen Lu, Zifeng Wang, Qi Tian, and Jie Zhou, Collaborative deep reinforcement learning for multi-object tracking, European Conference on Computer Vision, Munich, Sep., 2018.
39. Yansong Tang, Yi Tian, Jiwen Lu, Peiyang Li, and Jie Zhou, Deep progressive reinforcement learning for skeleton-based action recognition, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
40. Yongming Rao, Dahua Lin, Jiwen Lu, and Jie Zhou, Learning globally optimized object detector via policy gradient, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake, June, 2018.
41.Chunze Lin, Jiwen Lu*, Gang Wang, and Jie Zhou, Graininess-Aware Deep Feature Learning for Pedestrian Detection, ECCV, 2018.
42. 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.
43. 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.
44. Venice Erin Liong, Jiwen Lu*, Yap-Peng Tan, and Jie Zhou, Cross-modal deep variational hashing, IEEE International Conference on Computer Vision, Venice, Oct., 2017.
45. 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.
46. 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.
47. Yongming Rao, Ji Lin, Jiwen Lu, and Jie Zhou, Learning discriminative aggregation networks for video-based face recognition, IEEE/CVF International Conference on Computer Vision, Venice, Oct., 2017.
48. Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Consistent-aware deep learning for person re-identification in a camera network, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Honolulu, July, 2017.
49.Ji Lin, Yongming Rao, Jiwen Lu, and Jie Zhou, Runtime neural pruning, Advances in Neural Information Processing Systems, Long Bench, Dec., 2017.
50. Yongming Rao, Jiwen Lu, and Jie Zhou, Attention-aware deep reinforcement learning for video based face recognition, IEEE International Conference on Computer Vision, Venice, Oct., 2017.
51. Hao Liu, Jiwen Lu, Jianjiang Feng, and Jie Zhou. Learning Deep Sharable and Structural Detectors for Face Alignment Group-Aware Deep Feature Learning for Facial Age Estimation. IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1666-1678, 2017.
52.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.
53. 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.
54. Junlin Hu, Jiwen Lu, Yap-Pen Tan, and Jie Zhou. Deep Transfer Metric Learning. IEEE Trans. on Image Processing, vol.25(12), pp.5576-5588, 2016.
55. Renliang Wen, Jiwen Lu, Yap-Pen Tan, and Jie Zhou. Learning Cascaded Deep Auto-encoder Networks for Face Alignment. IEEE Trans. on Multimedia, vol.18(10), pp.2066-2078, 2016.
56. Kailin Ge, Han Hu, Jianjiang Feng, and Jie Zhou. Depth Estimation using a Sliding Camera. IEEE Trans. on Image Processing, vol.25(2), pp.726-739, 2016.
57. Zhenhua Guo, Xingzheng Wang, Jie Zhou, and Jane You. Robust Texture Image Representation by Scale Selective Local Binary Patterns (SSLBP). IEEE Trans. on Image Processing, vol.25(2), pp.687-699, 2016.
58. Yijing Su, Jianjiang Feng, and Jie Zhou. Fingerprint Indexing with Pose Constraint. Pattern Recognition, DOI: 10.1016/j.patcog.2016.01.006
59. 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.
60. 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.
61. 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.
62. 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, Boston, Jun., (CVPR 2015) , pp.2475-2483
63. Xuanbin Si, Jianjiang Feng, and Jie Zhou, Yuxuan Luo. Detection and Rectification of Distorted Fingerprints. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.37(3), pp.555-568, 2015
64. Han Hu, Jianjiang Feng, and Jie Zhou. Exploiting Unsupervised and Supervised Constraints for Subspace Clustering. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.37(8), pp.1542-1557, 2015
65. Jiwen Lu, Gang Wang, Weihong Deng, Pierre Moulin, and Jie Zhou, Multi-manifold deep metric learning for image set classification, IEEE Conference on Computer Vision and Pattern Recognition, Boston, Jun.,(CVPR 2015), pp.1137-1145
66.Lin Ma, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Multiple Feature Fusion via Weighted Entropy for Visual Tracking, 2015 IEEE International Conference on Computer Vision (ICCV 2015)
67.Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, and Jie Zhou, Local Subspace Collaborative Tracking, 2015 IEEE International Conference on Computer Vision (ICCV 2015)
68.Feng, Jianjiang, Jie Zhou, and Yijing SU. "METHOD AND SYSTEM FOR ESTIMATING FINGERPRINT POSE." U.S. Patent No. 20,150,347,804. 3 Dec. 2015.
69.Yang, Xiao,,Jie Zhou et al. "Detection and segmentation of latent fingerprints." Information Forensics and Security (WIFS), 2015 IEEE International Workshop on. IEEE, 2015.
70. Peng Sun, Mark D. Reid, and Jie Zhou. “An Improved Multiclass LogitBoost Using Adaptive-One-vs-One". Machine Learning, 2014 DOI: 10.1007/s10994-014-5434-3
71.Yang, Xiao, Jianjiang Feng, and Jie Zhou. "Localized dictionaries based orientation field estimation for latent fingerprints." Pattern Analysis and Machine Intelligence, IEEE Transactions on 36.5 (2014): 955-969.
72.Luo, Yuxuan, Jianjiang Feng, and Jie Zhou. "Fingerprint matching based on global minutia cylinder code." Biometrics (IJCB), 2014 IEEE International Joint Conference on. IEEE, 2014.
73. Han Hu, Zhouchen Lin, Jianjiang Feng, and Jie Zhou. Smooth Representation Clustering. CVPR 2014, pp.3834-3841 (Oral).
74. Peng Sun, Tong Zhang, and Jie Zhou. "A Convergence Rate Analysis for LogitBoost, MART and Their Variant", in Proceedings of the 31th International Conference on Machine Learning (ICML), 2014
75. Xiangyu Tang, and Jie Zhou. Dynamic Personalized Recommendation using Sparse Data. IEEE Trans. on Knowledge and Data Engineering, vol. 25, no. 12, pp. 2895–2899, 2013.
76. Fanglin Chen, Xiaolin Huang, and Jie Zhou. Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification. IEEE Trans. on Image Processing, vol. 22, no. 11, pp. 4964–4971, 2013
77. Jifeng Dai, Yingnian Wu, Jie Zhou, Songchun Zhu. Cosegmentation and Cosketch by Unsupervised Learning. in ICCV 2013.
78. Peng Sun, and Jie Zhou. "Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner", in Proceedings of the 30th International Conference on Machine Learning (ICML), Atlanta, USA, 2013
79. Peng Sun, Mark Reid, and Jie Zhou. "AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem", in Proceedings of the 29th International Conference on Machine Learning, pp. 1087-1094, Edinburgh, Scotland, 2012
80. Zhihao Zhang, and Jie Zhou. Multi-task clustering via domain adaptation. Pattern Recognition, Vol.45(1), pp.465-473, 2012
81. Heng Su, Liang Tang, Ying Wu, Daniel Tretter, and Jie Zhou. Spatially Adaptive Block-based Super-resolution. IEEE Trans. On Image Processing, Vol.21(3), pp.1031-1045, 2012
82. Heng Su, Ying Wu, and Jie Zhou. Super-resolution without Dense Flow. Accepted as regular paper by IEEE Trans. On Image Processing, Vol.21(4), pp.1782-1795, 2012
83.Dai, Jifeng, Jianjiang Feng, and Jie Zhou. "Robust and efficient ridge-based palmprint matching." IEEE transactions on pattern analysis and machine intelligence 34.8 (2012): 1618-1632.
84.Yang, Xiao, Jianjiang Feng, and Jie Zhou. "Palmprint indexing based on ridge features." 2011 International Joint Conference on Biometrics (IJCB). IEEE, 2011.
85. Jifeng Dai, and Jie Zhou. Multi-feature based high-resolution palmprint recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 33(5), pp.945-957, 2011.
86. Fanglin Chen, Jianjiang Feng, Anil K. Jain, Jie Zhou, and Jin Zhang. Separating Overlapped Fingerprints. IEEE Trans. on Information Forensic and Security, Vol.6(2), pp.346-359, 2011
87. Jie Zhou, Han Hu and Dingrui Wan. Video stabilization and completion using two cameras. IEEE Transactions on Circuits and Systems for Video Technology, Vol.21(12), 2011, pp. 1879-1889.
88. Jie Zhou, Dingrui Wan and Ying Wu. Chameleon-like binocular vision system for visual surveillance. IEEE Signal Processing Magazine, Vol.27(5), pp.91-101, 2010.
89. Chunyu Yang, Yong Cao, Zaiqing Nie, Jie Zhou, and Jirong Wen. Closing the Loop in Webpage Understanding. IEEE Trans. on Knowledge and Data Engineering, Vol.22(5), pp. 639-650, 2010
90. Zhihao Zhang, and Jie Zhou. Transfer estimation of evolving class priors in data stream classification. Pattern Recognition, Vol.43(9), pp.3151-3161, 2010.
91. Han Hu and Jie Zhou. Trajectory Matching from unsynchronized videos. IEEE Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, June 2010.
92. Quanquan Gu, Jie Zhou, Local Learning Regularized Nonnegative Matrix Factorization, The 21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena, California, USA, 2009, pp.1046-1051.
93. Jie Zhou, Fanglin Chen, and Jinwei Gu, A Novel Algorithm for Detecting Singular Points from Fingerprint Images, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 31(7), pp.1239-1251, July, 2009.
94. Fanglin Chen, Jie Zhou, and Chunyu Yang, Reconstructing orientation field from fingerprint minutiae to improve minutiae matching accuracy, IEEE Trans. On Image Processing, Vol.18(7), pp. 1665-1670, July 2009.
95. Jie Zhou, Fanglin Chen, Nannan Wu, and Chenyu Wu. Crease Detection from Fingerprint Images and Its Applications in Elderly People. Pattern Recognition Vol.42(5), pp.896–906, May, 2009.
96. Xi Wang, Chunyu Yang, and Jie Zhou, Clustering Aggregation by Probability Accumulation, Pattern Recognition Vol.42(5), pp.668–675, May, 2009
97. Dingrui Wan and Jie Zhou. Multi-resolution and wide-scope depth estimation using a dual-PTZ-camera system. IEEE Trans. On Image Processing, Vol.18(3), pp.677-682, 2009
98. Lin Zhu, Jie Zhou, Jingyan Song, Tracking Multiple Objects Through Occlusion with Online Sampling and Position Estimation, Pattern Recognition Vol.41(8), pp.2447–2460, Aug. 2008
99. Chunyu Yang and Jie Zhou. Non-stationary Data Sequence Classification Using Online Class Distribution Estimation. Pattern Recognition Vol.41(8), pp.2656–2664, Aug. 2008
100. Dingrui Wan and Jie Zhou. Stereo vision using two PTZ cameras. Computer Vision and Image Understanding. Vol.112, pp.184–194, Nov. 2008
101. J. Zhou, D. Gao, and D. Zhang, “Robust Moving Vehicle Detection for Automatic Traffic Monitoring”, IEEE Trans. On Vehicular Technology, Vol.56(1), pp.51-59, Jan, 2007
102. C. Yang, and J. Zhou, “A comparative study of combining multiple enrolled samples for fingerprint verification”, Pattern Recognition, 39(11): 2115-2130, 2006.
103. Z. Fan, J. Zhou and Y. Wu, “Multibody Grouping by Inference of Multiple Subspaces from High-Dimensional Data Using Oriented-Frames”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 28(1):.91-105, 2006.
104. D. Wan and J. Zhou, “Fingerprint Recognition Using Model-based Density Map”, IEEE Trans. On Image Processing, 15(6): 1690-1696, 2006.
105. J. Gu , J. Zhou, and Chunyu Yang, “Fingerprint Recognition by Combining Global Structure and Local Cues”, EEE Trans. On Image Processing, 15(7): 1952-1964, 2006.
106. Z. Fan, J. Zhou and Y. Wu, “Multibody Motion Segmentation Based on Simulated Annealing”, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 776-781, USA, June 2004.
107. Z. Fan, J. Zhou and 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, vol. 2, pp. 661-666, USA, June 2004.
108. J. Zhou, and J. Gu, “A Model-based Method for the Computation of Fingerprints Orientation Field”, IEEE Trans. On Image Processing, 13(6): 821-835, 2004.
109. J. Zhou and J. Gu, “Modeling Orientation Field of Fingerprints with Rational Complex Functions”, Pattern Recognition, 37(2): 389-391, 2004.
110. J. Gu, J. Zhou, and D. Zhang, “A combination Model for orientation Field of fingerprints”, Pattern Recognition, 37(3): 543-553, 2004.
111. Y. Zhang, and J. Zhou, “Audio Segmentation Based On Multi-Scale Audio Classification”. Proceedings of International Conference of ASSP, Canada, 4: 349-352, 2004.
112. J. Gu and J. Zhou, “A Novel Model for Orientation Field of Fingertips”, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, USA, 2: 493-498, 2003.
113. J. Zhou, L. Xin, and D. Zhang, “Scale-orientation histogram for texture image retrieval”, Pattern Recognition, 36(4): 1061-1063, 2003.
114. 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, USA, June 2003, vol 2, pp. 505-510.
115. D. Zhang, H. Peng, J. Zhou, and S. K. Pal, “A Novel Face Recognition System Using Hybrid Neural and Dual Eigenspaces Methods”, IEEE Trans. On SMC, Part A, 32(6), 2002.
116. J. Zhou, X. Lu, D. Zhang and C. Wu, “Orientation analysis for rotated human face detection”, Image and Vision Computing, 20(4): 257-264, 2002.
117. J. Zhou, and D. Zhang, “Face Recognition by Combining Several Algorithms”, Proceedings of 16th International Conference on Pattern Recognition (ICPR2002), Canada, 3: 497-500, 2002.
118. D. Gao, J. Zhou, and L. Xin, “A novel algorithm of Adaptive background estimation”, Proceedings of 2001 International Conference on Image Processing, 2: 395-398, 2001.
119. J. Zhou, etal, “Automatic Cartridge Identification for Firearm authentication”, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol.1, USA, Dec 2001, pp749-754
120. X. Lv, J. Zhou, and C. Zhang.“A Novel Algorithm for Rotated Human Face Detection”, Proceedings of IEEE International Symposium of Computer Vision and Pattern Recognition, Vol.1, USA, June 2000, pp760-765
周杰 教授 清華大學(xué)自動化系，教授，博士生導(dǎo)師。1968年生；1990年畢業(yè)于南開大學(xué)首屆數(shù)學(xué)試點(diǎn)班，獲理學(xué)學(xué)士學(xué)位；1992年提前畢業(yè)于南開大學(xué)數(shù)學(xué)系概率論與數(shù)理統(tǒng)計(jì)專業(yè)，獲理學(xué)碩士學(xué)位；1995年畢業(yè)于華中理工大學(xué)圖像識別研究所模式識別與智能控制專業(yè)，獲工學(xué)博士學(xué)位，論文被評為華中理工大學(xué)優(yōu)秀博士論文；1995年至1997年在清華大學(xué)自動化系從事博士后研究；1997年后至今一直在清華大學(xué)自動化系工作。2003年提升為教授，2004年提升為博士生導(dǎo)師。現(xiàn)任清華大學(xué)研究生院院長，副教務(wù)長，曾任清華大學(xué)自動化系黨委副書記，現(xiàn)代服務(wù)科學(xué)與技術(shù)研究中心主任。
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