浙江大学计算机科学与技术学院导师：朱建科 正文

　　姓名：朱建科
　　性别：男
　　所在学院：计算机科学与技术学院
　　职称：副教授

　　个人简介
　　Dr. Jianke Zhu received his Bachelor degree in Mechatronics and Computer Engineering from Beijing University of Chemical Technology, Beijing, P.R.China, his Master in Electrical and Electronics Engineering from University of Macau, and Ph.D degree in Computer Science and Engineering from Chinese University of Hong Kong. He was a postdoc in BIWI computer vision lab of ETH Zurich under the supervision of Prof. Luc Van Gool.

　　工作研究领域
　　Computer Vision, Multimedia and Machine Learning 

　　发表论文：
　　Journal Paper
　　1. Hao Wu, Jiajun Bu, Chun Chen, Jianke Zhu, Lijun Zhang, Haifeng Liu, Can Wang, Deng Cai: Locally discriminative topic modeling. Pattern Recognition 45(1): 617-625 (2012).
　　2. Chenxia Wu, Jianke Zhu, Deng Cai, Chun Chen, and Jiajun Bu, “ ,” IEEE Trans. on Knowledge and Data Engineering, under revision.
　　3. Lei Wu, Steven C.H. Hoi, Rong Jin, Jianke Zhu and Nenghai Yu, “Learning Bregman Distance Functions for Semi-supervised Clustering,”IEEE Trans. on Knowledge and Data Engineering, accepted.
　　4. Jianke Zhu, Steven C.H. Hoi, Michael R. Lyu and Shuicheng Yan, “A Semi-supervised Approach to Near Duplicate Keyframe Detection and Retrieval,” ACM Trans. on Multimedia Computing, Communications and Applications (TOMCCAP), Feb. 2011.
　　5. Hao Ma, Jianke Zhu, Michael R. Lyu and Irwin King, “Bridging the Semantic Gap between Image Contents and Tags,” IEEE Trans. on Multimedia, August, 2010.
　　6. Lei Wu, Steven C.H. Hoi, Rong Jin, Jianke Zhu and Nenghai Yu, “Distance Metric Learning from Uncertain Side Information for Automated Photo Tagging,” ACM Trans. on Intelligent Systems and Technology, accepted.
　　7. Jianke Zhu, Michael R. Lyu and Thomas S. Huang, "A Fast 2D Shape Recovery Approach by Fusing Features and Appearance," IEEE Trans. on Pattern Analysis and Machine Intelligences (TPAMI), vol. 31, July 2009, pp.1210-1224.
　　8. Steven C.H. Hoi, Rong Jin, Jianke Zhu and Michael R. Lyu, “Semi-Supervised SVM Batch Mode Active Learning with Applications to Image Retrieval,” ACM Trans. on Information Systems (TOIS), vol. 27, May 2009.
　　9. Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King and Michael R. Lyu, “A Novel Kernel-based Maximum A Posteriori Classification Method,”Neural Networks vol. 22, Sep. 2009, pp. 977-987.
　　10. Jianke Zhu, Steven C.H. Hoi and Michael R. Lyu, "Robust Regularized Kernel Regression," IEEE Trans. on Systems, Man, and Cybernetics - Part B: Cybernetics, 2008.
　　11. Jianke Zhu, Steven C.H. Hoi and Michael R. Lyu, "Face Annotation by Transductive Kernel Fisher Discriminant,"IEEE Trans. on Multimedia, vol. 10, Jan. 2008, pp. 86-96.

　　Conference Paper
　　12. Jianke Zhu, HaoMa, Jiajun Bu, Chun Chen, “Social Recommendation Using Low-Rank Semidefinite Program,” AAAI 2011.
　　13. Dayong Wang, Steven C. H. Hoi, Ying He, Jianke Zhu, “Retrieval-based face annotation by weak label regularized local coordinate coding,”ACM Multimedia 2011: 353-362.
　　14. Jianke Zhu, Luc Van Gool and Steven C.H. Hoi, “Unsupervised Face Alignment by Robust Nonrigid Mapping,” IEEE International Conference on Computer Vision (ICCV2009).
　　15. Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu and Zhirong Yang, "Adaptive Regularization for Transductive Support Vector Machine,"Advances in Neural Information Processing Systems(NIPS2009). (Spot light poster, acceptance rate: 8%)
　　16. Lei Wu, Rong Jin, Steven C.H. Hoi, Jianke Zhu and Nenghai Yu, "Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering," Advances in Neural Information Processing Systems(NIPS2009). (Acceptance rate: 24%)
　　17. Jianke Zhu, Steven C.H. Hoi and Michael R. Lyu, “Nonrigid Shape Recovery by Gaussian Process Regression,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR2009). (Acceptance rate: 26%)
　　18. Lei Wu, Steven C.H. Hoi, Rong Jin, Jianke Zhuand Nenghai Yu, “Distance Metric Learning from Uncertain Side Information with Application to Automated Photo Tagging,” ACM Multimedia2009, accepted. (Oral presentation, acceptance rate: 16%)
　　19. Jianke Zhu, Steven C.H. Hoi, Michael R. Lyu and Shuicheng Yan, “Near-Duplicate Keyframe Retrieval by Nonrigid Image Matching,” ACM Multimedia2008. (Oral presentation, acceptance rate: 18%)
　　20. Jianke Zhu, Steven C.H. Hoi, Zenglin Xu and Michael R. Lyu, “An Effective Approach to 3D Deformable Surface Tracking,” The 10th European Conference on Computer Vision (ECCV2008). (Acceptance rate: 28%)
　　21. Steven C.H. Hoi, Rong Jin, Jianke Zhu and Michael R. Lyu, “Semi-Supervised SVM Batch Mode Active Learning for Image Retrieval,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR2008).
　　22. Jianke Zhu and Michael R. Lyu, "Progressive Finite Newton Approach to Real-time Nonrigid Surface Detection," IEEE Conference on Computer Vision and Pattern Recognition (CVPR2007), June 19-21, 2007. (Oral, acceptance rate: 5%)
　　23. Jianke Zhu, Steven C.H. Hoi and Michael R. Lyu, "A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling," IEEE Conference on Computer Vision and Pattern Recognition (CVPR2007), June 19-21, 2007. (Acceptance rate: 28%)
　　24. Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King and Michael R. Lyu, "Efficient Convex Relaxation for Transductive Support Vector Machine,"Advances in Neural Information Processing Systems(NIPS2007). (Acceptance rate: 22%)
　　25. Jianke Zhu, Steven C.H. Hoi and Michael R. Lyu, “The Real-Time Non-Rigid Shape Recovery via Active Appearance Models for Augmented Reality,” in Proceedings of The 9th European Conference on Computer Vision (ECCV2006), LNCS 3951, Graz, May 7-13, 2006, pp.12-23. (Acceptance rate: 21%)
　　26. Steven C.H. Hoi, Rong Jin, Jianke Zhu and Michael R. Lyu, “Batch Mode Active Learning and Its Application to Medical Image Classification,”The 23th International Conference on Machine Learning (ICML2006), Pittsburgh, June 25-29, 2006. (Acceptance rate: 20%)
　　27. Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King and Michael R. Lyu, "Kernel Maximum a Posteriori Classification with Error Bound Analysis," International Conference on Neural Information Processing (ICONIP2007), LNCS 4984, 2008, pp.841–850.
　　28. Zenglin Xu, Jianke Zhu, Michael R. Lyu and Irwin King, "Semi-supervised Spectral Kernel Learning," International Joint Conference on Neural Networks (IJCNN2007).
　　29. Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King, "Two-Stage Multi-Class AdaBoost for Facial Expression Recognition," International Joint Conference on Neural Networks (IJCNN2007).
　　30. Chon Fong Wong, Jianke Zhu, Mang I Vai and Peng Un Mak, “Face Image Retrieval with Relevance Feedback Using Lifting Wavelets Features,” in Applied and Numerical Harmonic Analysis Series, Tao Qian (ed.), Springer, 2006.
　　31. Jianke Zhu, Steven C.H. Hoi, Edward Yau and Michael R. Lyu, “Automatic 3D Face Modeling Using 2D Active Appearance Models,” inProceedings of the 13th Pacific Conference on Computer Graphics and Applications (PG2005), Macau, China, October 12-14, 2005.
　　32. Steven C.H. Hoi, Jianke Zhu and Michael R. Lyu, “CUHK at ImageCLEF 2005: Cross-Language and Cross-Media Image Retrieval,” inProceedings of Cross Language Evaluation Forum (CLEF2005), LNCS 4022, Vienna, Austria, 2006.
　　33. Chon Fong Wong, Jianke Zhu, Mang I Vai and Peng Un Mak, “Face Image Retrieval in Video Sequences Using Lifting Wavelets Transform Feature Extraction,” in Proceedings International Symposium on Computer Electronics (ICSE2005), Macau.
　　34. Jianke Zhu, Mang I Vai and Peng Un Mak, “Gabor Wavelets Transform and Extended Nearest Feature Space Classifier for Face Recognition,” in Proceedings Third International Conference on Image and Graphics (ICIG2004), Hong Kong, Dec. 28-30, 2004, pp.372-379.
　　35. Jianke Zhu, Mang I Vai and Peng Un Mak, “A New Enhanced Nearest Feature Space (ENFS) Classifier for Gabor Wavelets Features Based Face Recognition,” in Proceedings First International Conference on Biometrics Authentication (ICBA2004), LNCS 3072, Hong Kong, July 15-17, 2004, pp.124-131.

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