Faculty

Lu Hongtao Professor

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Office Telephone: +86-21-3420-4879

Office Address: SEIEE-3-425

Email: lu-ht@cs.sjtu.edu.cn

Lab: The China Ministry of Education (MOE) - Microsoft Key Laboratory of Intelligent Computing and System

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Machine Learning, Pattern Recognition, Computer Vision, Information Hiding, Complex Networks
B.S. degree in Mathematics from Sichuan normal university, Chengdu, in 1987.


M.S. degree in Mathematics from Sichuan normal university, Chengdu, in 1990. 


Ph.D. degree in Electrical Engineering from Southeast university, Nanjing, in 1997
1990-1993, lecture, the department of mathematics, Chuxiong normal university, Yunnan province, China. 


1997-1999, post doctoral fellow, the department of computer science, Fudan university, Shanghai, China.


1999-2001, associate professor, the department of computer science and engineering, Shanghai Jiao Tong university, Shanghai, China.


2001 to present, professor, the department of computer science and engineering, Shanghai Jiao Tong university, Shanghai, China.


  2001,2002,2004,2005, visiting scholar in City University of Hong Kong, the Hong Kong Polytechnic University, RIKEN (Japan)
DSICRETE MATHEMATICS for undergraduate students


ARTIFICIAL INTELLIGENCE for undergraduate students


DIGITAL IMAGE PROCESSING for graduate students
1. 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. 
2. Zhenyong Fu, Hongtao Lu, Horace Ho-Shing Ip, Zhiwu Lu: Modalities consensus for multi-modal constraint propagation. ACM Multimedia 2012: 773-776
3. Zhenyong Fu, Hongtao Lu, Wenbin Li: Incremental visual objects clustering with the growing vocabulary tree. Multimedia tools and applications. 56(3): 535-552 (2012). 
4. Wei Lu, Wei Sun, Hongtao Lu: Novel robust image watermarking based on subsampling and DWT. Multimedia tools and applications . 60(1): 31-46 (2012)
5. 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. 
6. Shu, Xin and Lu, Hongtao, Neighborhood Structure Preserving Ridge Regression for Dimensionality Reduction. Chinese Conference on Pattern Recognition 2012. 25-32. 
7. 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. 
8. 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,Oral, acceptance rate 8.1%)
9. Zhenyong Fu, Horace H.S. Ip, Hongtao Lu, and Zhiwu Lu. Multi-model Constraint Propagation for Image Clustering. ACM Multimedia 2011.(Oral, acceptance rate13%)
10. Zhenyong Fu, Horace H.S. Ip, Hongtao Lu. Symmetric Graph Regularized Constraint Propagation. AAAI 2011, pp.350-355, 2011. (Oral).
11. Xiangyang Liu, Hongtao Lu. Group Sparse Non-negative Matrix Factorization for Multi-Manifold Learning. BMVC2011. 
12. 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.
13. 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.
14. 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 acceptance rate 5%, Best paper award)
15. 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. (acceptance rates12%)
16. 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.
17. 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.
18. 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.
19. Hongbin Yu, Hongtao Lu, Vigilance Estimation Based on Statistic Learning with One ICA Component of EEG Signal. ICONIP, Shanghai, China, 2011.
20. 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).
21. 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).
22. 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. 
23. 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)
24. Xiangyang Liu, Hongtao Lu, Wenbin Li, “Multi-manifold modeling for head pose estimation”, ICIP2010, pp. 3277-3280, 2010.
25. 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. 
26. 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.
27. 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.
28. 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.
29. 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)
30. 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).
31. Qijun Zhao, Hongtao Lu and David Zhang, “A fast evolutionary pursuit algorithm based on linearly combining vectors,” Pattern recognition, 39(2006) 310-312. (SCI)
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.
33. 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.
34. 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.
35. Darong Lai, Christine Nardini and Hongtao Lu, Partitioning networks into communities by message passing, Physical Review E, vol.83, 016115, 2011.
36. Darong Lai, Hongtao Lu and Christine Nardini, Enhanced modularity-based community detection by random walk network preprocessing, Physical Review E, vol.81, 066118, 2010.
37. 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. 
38. 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
39. 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 .
40. 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.
41. 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.
42. 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.  
43. 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.

1. Lowrank Distance Metric Learning and its Applications (NSFC, 2013-2016)
2. Community Detection of Complex Networks based on Machine Learning (NSFC, 2009-2011) 
3. Vigilance Estimation based on EEG and Video (863, 2008-2010)

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