Digital Image Processing


  卢宏涛,男,1967 年3 月生。现为上海交通大学计算机系教授,博士生导师。研究方向为机器学习、模式识别、图像处理、数据挖掘等。在国内外学术期刊和会议发表论文118 篇,其中包括IEEE Transaction on Neural Networks、Neural Networks、Pattern Recognition 等国际学术期刊和ACM Multimedia、ICCV、AAAI、AISTATS 等国际学术会议。发表的论文中54 篇被SCI 收录、74 篇被EI 收录,迄今论文被SCI 他引超过1000 次,最高单篇SCI 他引140 次,H-index 19 (Publish or Perish 检索)。先后主持国家863 项目、国家自然科学基金项目、教育部新世纪优秀人才支持计划、 教育部高等学校博士点基金项目、上海市教委―曙光计划‖项目、上海市重大基础研究项目等10 多项项目。入选2005 年度教育部新世纪优秀人才计划,2003 年被上海市教委授予―曙光学者‖称号。


  1.  1993 年9 月-1997 年1 月,东南大学无线电工程系,获工学博士学位,导师何振亚教授
  2.  1987 年9 月-1990 年7 月,四川师范大学数学系,获理学硕士学位,导师,丁协平教授
  3.  1983 年9 月-1987 年7 月,四川师范大学数学系,获理学学士学位


  1.  2001 年8 月至今,上海交通大学,教授
  2.  1999 年1 月-2001 年7 月,上海交通大学计算机系,副教授
  3.  1997 年2 月-1999 年1 月,复旦大学计算机系,博士后
  4.  1990 年7 月-1993 年8 月,云南楚雄师范专科学校数学系,讲师
  1.  2005 年6 月-2005 年8 月,香港城市大学,访问学者
  2.  2005 年3 月-2005 年4 月,日本理化学研究所脑科学研究中心,访问学者
  3.  2004 年6 月-2004 年8 月,日本理化学研究所脑科学研究中心,访问学者
  4.  2001 年11 月-2002 年7 月,香港理工大学计算学系,访问学者
  5.  2001 年2 月-2001 年5 月,香港城市大学电子工程系,访问学者



  1. 1.Yangcheng He, Hogntao Lu, Lei Huang, Saining Xie. Pairwise constrained concept factorization for data representation. Neural Networks 52(2014)1-17.
  2. 2.Hongtao Lu, ZhenyongFu, XinShu. Non-negative and sparse spectral clustering. Pattern Recognition, Pattern Recognition, 47(2014)418–426.
  3. 3. Xianzhong Long, Hongtao Lu, Yong Peng and Wenbin Li. Graph regularized discriminant non-nagative matrix factorization for face recognition. Multimedia Tools and Applications. 2013, DOI 10.1007/s11042-013-1572-z. (SCI)
  4. 4. Yangcheng He, Hongtao Lu, Saining Xie. Semi-supervised Non-negative Matrix Factorization for Image Clustering with Graph Laplacian. Multimedia Tools and Applications. 2013, DOI : 10.1007/s11042-013-1465. (SCI)
  5. 5. Wei Huang and Hongtao Lu. Automatic defect classification of TFT-LCD panels with shape, histogram and color features. International Journal of Image and Graphics, Vol. 13, No. 3 (2013) 1350011 (12 pages).
  6. 6. Xin Shu,Yao Gao,Hongtao Lu, Efficient linear discriminant analysis with locality preserving for face recognition. Pattern Recognition, v 45, n 5, p 1892-1898, May 2012. (SCI)
  7. 7. Zhenyong Fu, Hongtao Lu, Wenbin Li: Incremental visual objects clustering with the growing vocabulary tree. Multimedia tools and applications. 56(3): 535-552 (2012). (SCI)
  8. 8. Wei Lu, Wei Sun, Hongtao Lu: Novel robust image watermarking based on subsampling and DWT. Multimedia tools and applications . 60(1): 31-46 (2012). (SCI)
  9. 9. Xianzhong Long, Hongtao Lu, Wenbin Li, Image classification based on nearest neighbor basis vectors. Multimedia tools and applications. DOI 10.1007/s11042-012-1289-4, 2012. (SCI)
  10. 10. Yu Gang; Hu Zhiwei; Lu Hongtao. Robust object tracking with occlusion handle. Neural computing & applications, vol. 20, no. 7, special issue, pages: 1027-1034 DOI: 10.1007/s00521-010-0400-x, OCT 2011. (SCI)
  11. 11. Pan zhifang, Hu zhiwen, Lu Hongtao. Classification of alzheimer's disease using a novel PCA method based on matrix factorization. International Journal of Advancements in Computing Technology, v 3, n 10, p 283-290, November 2011.
  12. 12. Tian Ouyang, Hong-Tao Lu, Bao-Liang Lu, ―Vigilance Analysis Based on EEG Signals: Seeking for Suitable Features‖, Journal of Biological Systems, vol.18, pp. 81-99, 2010. (SCI)
  13. 13. Qijun Zhao, David Zhang, L. Zhang and Hongtao Lu, ―Evolutionary Discriminant Feature Extraction with Application to Face Recognition‖, EURASIP Journal on Advances in Signal Processing, Volume 2009, Article ID 465193, 12 pages. (SCI)
  14. 14. Qijun Zhao, Hongtao Lu and David Zhang, ―A fast evolutionary pursuit algorithm based on linearly combining vectors,‖ Pattern recognition, 39(2006) 310-312. (SCI)
  15. 15. Darong Lai, Xiangjun Wu and Hongtao Lu, Learning Overlapping Communities in Complex Networks via Non-negative Matrix Factorization. International Journal of Modern Physics C, Vol. 22, No. 10 (2011) 1173-1190. (SCI)
  16. 16. Darong Lai, Xinyi Yang, Gang Wu, Yuanhua Liu and Christine Nardini, Inference of Gene Networks-application to Bifidobacterium, Bioinformatics, vol.27, No.2, pp. 232-237, 2011. (SCI)
  17. 17. Darong Lai, Christine Nardini and Hongtao Lu, Partitioning networks into communities by message passing, Physical Review E, vol.83, 016115, 2011. (SCI)
  18. 18. Darong Lai, Hongtao Lu and Christine Nardini, Enhanced modularity-based community detection by random walk network preprocessing, Physical Review E, vol.81, 066118, 2010. (SCI)
  19. 19. Darong Lai, Hongtao Lu and Christine Nardini, Extracting weights from edge directions to find commmunities in directed networks, Journal of Statistical Mechanics: Theory and Experiment, 2010, P06003. (SCI)
  20. 20. Darong Lai, Hongtao Lu and Christine Nardini, Finding communities in directed networks by PageRank random walk induced network embedding, Physica A: Statistical Mechanics and its Applications, vol. 389, pp. 2443-2454, 2010. (SCI)
  21. 21. Darong Lai, Hongtao Lu, Mario Lauria, Diego di Bernardo and Christine Nardini, MANIA: A gene network reverse algorithm for compounds mode-of-action and genes interactions inference, Advances in Complex Systems, vol. 13, issue 1, pp83-94, 2010 .
  22. 22. Gang Yu, Xianpeng Wang and Hongtao Lu, Efficient routing strategy on scale-free network. Modern physics letters B, Vol. 23, No. 11 (2009)1377-1389. (SCI)
  23. 23. Xianpeng Wang, Gang Yu and Hongtao Lu, A local information-based routing strategy on the scale-free network. Modern physics letters B, Vol. 23, No. 10 (2009)1291-1301. (SCI)
  24. 24. Darong Lai, Hongtao Lu, Indenification of community structure in complex networks using affinity propagation clustering method. Modern physics letters B, Vol. 22, No. 16 (2008) 1547-1566. (SCI)
  25. 25. Xutao Wang, Guanrong Chen and Hongtao Lu, A very fast algorithm for detecting community structures in complex networks. Physica A, Vol. 384, Issue 2, pp. 667-674, 15 October 2007. (SCI)


  1. 1. Kang Zhao, Hongtao Lu. Locality Preserving Hashing. AAAI 2014, accepted.
  2. 2. KangZhao, Hongtao Lu. Locality Preserving Discriminative Hashing. ACM Multimedia, 2014.
  3. 3. Xuejiao Bai, Xuan Luo, Shuo Li, Adaptive storeo matching by loop-erased random walk. ICIP 2014 accepted.
  4. 4. Saining Xie, Shuicheng Yan, Hongtao Lu. Perception Preserving Projections. BMVC 2013, oral.
  5. 5. Shaokun Feng, Hongtao Lu. Image classification based on weight adjustment before feature pooling. ICONIP, 2013, Part III, LNCS 8228, pp. 360–367, 2013.
  6. 6. Kang Zhao, Dengxiang Liu, Hongtao Lu. Local Linear Spectral Hashing, ICONIP 2013, Part III, LNCS 8228, pp. 283–290, 2013.
  7. 7. Xianzhong Long, Hongtao Lu, Yong Peng. Sparse Non-Negative Matrix Factorization based on Spatial Pyramid Matching for Face Recognition. 2013 Fifth International Conference on Intelligent Human-Machine Systems and Cybernetics.
  8. 8. Yi Ding, Hongtao Lu. Sparse Representations of Clustered Video Shots for Action Recognition. IEEE 3rd International Conference on Computer Science and Network Technology, 2013.
  9. 9. Lei Huang, Zhifang Pan, Hongtao Lu. Automated Diagnosis of Alzheimer’s Disease with Degenerate SVM-based Adaboost. 2013 Fifth International Conference on Intelligent Human-Machine Systems and Cybernetics.
  10. 10. Zhenyong Fu, Hongtao Lu, Horace Ho-Shing Ip, Zhiwu Lu: Modalities consensus for multi-modal constraint propagation. ACM Multimedia 2012: 773-776. (多媒体领域顶级会议,录取率25%)
  11. 11. Shu, Xin and Lu, Hongtao, Neighborhood Structure Preserving Ridge Regression for Dimensionality Reduction. Chinese Conference on Pattern Recognition 2012. 25-32.
  12. 12. Xie, Saining and Lu, Hongtao and He, Yangcheng, Multi-task co-clustering via nonnegative matrix factorization. 21st International Conference on Pattern Recognition (ICPR 2012). 2954-2958.
  13. 13. Hongtao Lu, Xianzhong Long and Jingyuan Lv. A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods. Journal of Machine Leaning Research, Workshop and Conference Proceedings, vol. 15, pp.461-469, 2011.(AISTATS 2011,人工智能、机器学习国际顶级会议之一,Oral 录用率8.1%)
  14. 14. Zhenyong Fu, Horace H.S. Ip, Hongtao Lu, and Zhiwu Lu. Multi-model Constraint Propagation for Image Clustering. ACM Multimedia 2011 录用为长文(大会报告).(多媒体国际顶级会议,长文录用率13%)
  15. 15. Zhenyong Fu, Horace H.S. Ip, Hongtao Lu. Symmetric Graph Regularized Constraint Propagation. AAAI 2011, pp.350-355, 2011. (Oral 论文,人工智能顶级会议).
  16. 16. Xiangyang Liu, Hongtao Lu. Group Sparse Non-negative Matrix Factorization for Multi-Manifold Learning. BMVC2011.
  17. 17. Xiangyang Liu, Hongtao Lu and Daqiang Zhang, ―Head Pose Estimation based on Manifold Embedding and Distance Matric Learning‖, Ninth Asian Conference on Computer Vision (ACCV2009), Xi’an, China, Sep. 23-27, 2009. (Oral, Oral 录取率5%, 并荣获Best paper award)
  18. 18. Wei He, Takayoshi, Hongtao Lu, and Shihong Lao, ―SURF tracking‖, The Twelfth International Conference on Computer Vision(ICCV2009), Kyoto, Japan,Sep.29—Oct.2, 2009. ( 计算机视觉顶级会议,录用率12%)
  19. 19. Qing Zhang, Hao Hu, Hongtao Lu, A robust method for real-time detecting and counting people. International Conference on Information and Multimedia Technology, ICIMT2011, Dubai, 2011.
  20. 20. Hu Zhiwei, Pan Zhifang, Lu Hongtao, Li Wenbin. Classification of Alzheimer's disease based on cortical thickness using AdaBoost and combination feature selection method. Communications in Computer and Information Science, v 234 CCIS, n PART 4, p 392-401, 2011.
  21. 21. Jing-Nan Gu, Hong-Jun Liu, Hong-Tao Lu and Bao-Liang Lu, ―An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings,‖ ICONIP, Shanghai, China, 2011.
  22. 22. Hongbin Yu, Hongtao Lu, Vigilance Estimation Based on Statistic Learning with One ICA Component of EEG Signal. ICONIP, Shanghai, China, 2011.
  23. 23. Xin Shu, Yao Gao and Hongtao Lu,‖Face recognition via robust face representation and compressive sensing‖, 2010 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS2010).
  24. 24. Jiongyun Xie and Hongtao Lu, ―Sparse Deep Belief Net for Handwritten Digits Classification‖, Accepted by the 2010 International Conference on Web Information Systems and Mining and The 2010 International Conference on Artificial Intelligence and Computational Intelligence (WISM’10-AICI’10).
  25. 25. Hong-Bin Yu, Hong-Tao Lu, Tian Ouyang, Hong-Jun Liu, Bao-Liang Lu, ―Vigilance Detection Based on Sparse Representation of EEG‖, International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, Sep., 2010.
  26. 26. Xiangyang Liu, Hongtao Lu, Wenbin Li, ―Multi-manifold modeling for head pose estimation‖, ICIP2010, pp. 3277-3280, 2010.
  27. 27. Xiangyang Liu, Hongtao Lu and Heng Luo, ―Smooth Multi-Manifold Embedding for Robust Identity-Independent Head Pose Estimation‖, The 13th International Conference on Computer Analysis of Images and Patterns (CAIP2009), 66-73, Munster, Germany, Sep. 2nd-4th, 2009.
  28. 28. Xiangyang Liu, Hongtao Lu and Heng Luo, ―A New Representation Method of Head Images for Head Pose Estimation‖, in Proc. IEEE International Conference on Image Processing (ICIP2009), Cairo, Egypt, Nov. 7-11, 2009.
  29. 29. Gang Yu, HongtaoLu, ―Illumination Invariant Object Tracking with Incremental Subspace Learning‖, The 5th International Conference on Image and Graphics(ICIG2009), Xi’an, Nov.20-23, 2009.
  30. 30. Gang Yu, Zhiwei Hu and Hongtao Lu, ―Robust Incremental Subspace Learning for Object Tracking‖,16th International Conference on Neural Information Processing (ICONIP2009), Part I, LNCS 5863, pp.819-828.
  31. 31. Tianwen Zhao, Qijun Zhao, Hongtao Lu and David Zhang, ―Bagging Evolutionary Feature Extraction Algorithm for Classification‖, The 3rd International Conference on Natural Computation (ICNC’07).
  32. 32. Qijun Zhao, David Zhang and Hongtao Lu, ―A direct evolutionary feature extraction algorithm for classifying high dimensional data‖, AAAI’06, pp.561-566,2006. `


  1. 2012 CAISSE 最佳论文奖
  2. 2010 年上海市自然科学二等奖(排名第一)
  3. 2009 年ACCV2009 最佳论文奖
  4. 2003 年9 月,上海市科协第9 届青年优秀科技论文一等奖。(排名第一)
  5. 2002 年11 月,上海交通大学第6 届横山亮次优秀论文奖。(排名第一)




办公地点: SEIEE-3-425
Email: | 电话: +86-021-3420-4879