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YANG Jie

Office Address: Room 2#427, School of Electronic, Information and Electrical Engineering

Phone Number: 021-34204033   

Email: jieyang@sjtu.edu.cn

Website: www.pami.sjtu.edu.cn

Research Field
  • Machine Learning
  • Pattern Recognition and big data analysis
  • Medical image analysis and 3D reconstruction
  • Computer vision

 

 

Education
  • 1994.06: Ph.D., (Computer Sciences), University of Hamburg, Germany.   
  • 1988.03: MSc (Image Proc. & Pattern Recog.), Shanghai Jiao Tong University, China.     
  • 1985.07: BS (Automatic Control), Shanghai Jiao Tong University, China.      

 

 

Work experience
  • Present Positions:

Professor and Director, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Chair of the discipline “Pattern Recognition and Intelligent System”.

  • Employment History:

Professor and Vice Director, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 1997-2005

Associate Professor, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, 1994-1997

 

 

Research

Selected Funds

  1. Co-Principle Investigator: Processing of Image Data and statistics learning, sponsored by National 973-High Tech Research Plan, China, No. 2015CB856004, (2014-2018, 2500000RMB).
  2. Principle Investigator: Research on key technology of optical composite bionic vision and verification system, sponsored by National 863-High Tech Research Plan, China, No. 2015AA042308, (2014-2016, 462000RMB).
  3. Principle Investigator: Fast and robust graph-based semi-supervised learning algorithms and their applications, sponsored by National Natural Science Foundation of China (NSFC), No. NSFC 61572315, (2016-2019, 788000RMB).
  4. Principle Investigator: Feature analysis and robust object detection, sponsored by The foundation of aerospace technology, China, No. 51301010308, (2014-2015, 1000000RMB).
  5. Principle Investigator: Cooperative research on visual saliency and invariant feature extraction, sponsored by Natural Science Foundation of China (NSFC)-Royal Society UK, No. NSFC 61411130135, (2014-2015, 120000RMB).
  6. Principle Investigator: Cooperative research on semi-supervised learning and its applications, sponsored by Natural Science Foundation of China (NSFC)-Sweden STINT, No. NSFC 6151101179, (2015-2016, 400000RMB).
  7. Principle Investigator: Multi modality medical image fusion and computer assisted surgical system development, sponsored by Hisen Ltd.Co China, (2015-2016, 290000RMB).
  8. Principle Investigator: Operation simulation system based on CT image 3D reconstruction and GPU implementation, sponsored by Hisen Ltd.Co China, (2013-2014, 290000RMB).
  9. Principle Investigator: Key Technologies for Computer-Aided Analysis of Bone Scintigrams, sponsored by National Natural Science Foundation of China (NSFC), No. NSFC 61375048, (2014-2017, 800000RMB).
  10. Principle Investigator: Research on the key technology of target detection for cooperative multiple video camera network, sponsored by National Natural Science Foundation of China (NSFC), No. NSFC61273258, (2013-2016, 810000RMB).
  11. Principle Investigator: Intelligent image retrieval platform and its applications, sponsored by Shanghai Municipality, China, No. 11530700200, (2012-2013, 500000RMB).
  12. Principle Investigator: Image retrieval based on visual saliency and invariant features, sponsored by Ph.D. Programs Foundation of Ministry of Education of China, No. 20120073110018, (2013-2015, 120000RMB).
  13. Principle Investigator: Remote sensing image analysis and understanding system for ecological pollution monitoring, sponsored by Ministry of Science and Technology, China, No. 2009DFA12870, (2010-2012, 850000RMB).
  14. Principle Investigator: robust object detection and tracking, and design of simulator, sponsored by The foundation of aerospace technology, China, (2006-2008, 1800000RMB).
  15. Principle Investigator: robust object recognition under complex scene, sponsored by The foundation of aerospace technology, China, (2012-2013, 500000RMB).
  16. Principle Investigator: Intelligent vision sensor system for Robots, sponsored by National 863-High Tech Research Plan, China, (2013-2014, 500000RMB).
  17. Principle Investigator: 3D Medical Image Analysis, Reconstruction and their Applications on the Computer-aided Design in Plastic Surgery, sponsored by Committee of Science and Technology, Shanghai, No. 09410700700, (2009-2011, 500000RMB).
  18. Principle Investigator: Intelligent system for Surveillance of environment protection based on remote sensing, sponsored by Minstry of Education, China, (2010-2012, 400000RMB).
  19. Principle Investigator: A new method of face recognition based on 3D model and manifold learning, sponsored by National 863-High Tech Research Plan, China, No. 2007AA01Z164, (2007-2009, 800000RMB).
  20. Principle Investigator: Robust visual tracking algorithm in complex scenes, sponsored by National Natural Science Foundation of China (NSFC), No. NSFC60675023, (2006-2007, 230000RMB).
  21. Principle Investigator: Research on the theory and algorithm of image restoration based on Data Mining Technology, sponsored by National 973-High Tech Research Plan, China, No. 61323020203-2, (2006-2007, 500000RMB).

 

Awards and Honors

Awards and Honors

  1. “Research and application of key techniques for pattern recognition of high dimensional and massive data” won the second Prize of Natural Science Award issued by Minstry of Education, China in 2014.  Jie Yang is the first winner of the Prize.
  2. “Image feature point location and registration technology and its applications” won the second Prize of Technological invention Award issued by Shanghai municipal government  in 2010.  Jie Yang is the first winner of the Prize.
  3. “ Machine learning theory and its application” won the third Prize of Natural Science Award issued by Shanghai municipal government  in 2008.  Jie Yang is the first winner of the Prize.
  4. “Field scene matching algorithm and its application ”  won the second Prize of Scientific and technological progress Award issued by Shanghai municipal government in 2004.  Jie Yang is the first winner of the Prize.
  5. “The application of hierarchical osteotomy and image superposition technique in the correction of complex craniofacial deformities” won the second Prize of Scientific and technological progress Award issued by Shanghai municipal government in 2003.  Jie Yang is the second winner of the Prize.
  6. “Data mining technology for modeling, optimization and fault diagnosis of metallurgy and chemical industry” won the second Prize of Scientific and technological progress Award issued by Minstry of Education, China in 2001.  Jie Yang is the first winner of the Prize.
  7. “Home remote medical monitoring and consulting intelligent system” won the first Prize of Technological invention Contest issued by Shanghai Intellectual Property Office in 2001.  Jie Yang is the first winner of the Prize.

 

 

Teaching

Computational Intelligence;Artificial Neural Network;Artificial Intelligence

Publications

Selected Publications

  1. Jie Yang, Yu Qiao (2014), Medical Image Analysis and 3D Reconstruction, Shanghai Jiaotong University Publisher, 2014
  2. Jie Yang, Xiang Zhang (2012), Video Object Detection, Tracking and Their Applications, Shanghai Jiaotong University Publisher, 2012.
  3. Jie Yang, Lixiu Yao (2010), Advanced Algorithms in Data Mining and Their Applications, Shanghai Jiaotong University Publisher, 2010.
  4. Chen Nianyi,  Lu Wencong, Yang Jie.   Support Vector Machine in Chemistry.  World Scientific Publishing, Singapore, 2004, ISBN 981-238-922-9.
  5. Jie Yang, Prioritized Justification-based Nonmonotonic Logic and its Applications. Shaker Verlag. Germany 1994.
  6. Gong, Chen; Tao, Dacheng; Liu, Wei; Liu, Liu; Yang, Jie, Label Propagation via Teaching-to-Learn and Learning-to-Teach, accepted by IEEE Transactions on Neural Networks and Learning Systems.  DOI: 10.1109/TNNLS.2016.2514360                          
  7. Tu, E., N. Kasabov, and J. Yang. "Mapping Temporal Variables Into the NeuCube for Improved Pattern Recognition, Predictive Modeling, and Understanding of Stream Data." IEEE transactions on neural networks and learning systems (2016).  DOI: 10.1109/TNNLS.2016.2536742
  8. Kasabov, Nikola, Lei Zhou, Maryam G. Doborjeh, Zohreh Gholami, Jie Yang, New Algorithms for Encoding, Learning and Classification of fMRI Data in a Spiking Neural Network Architecture: A Case on Modelling and Understanding of Dynamic Cognitive Processes, IEEE Transactions on Cognitive and Developmental Systems,DOI: 10.1109/TCDS.2016.2636291
  9.  Enmei Tu, Yaqian Zhang, Lin Zhu, Jie Yang, Nikola Kasabov. "A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification", Information Sciences,v 367-368, p 673-688, November 1, 2016                
  10. Chen Gong, Dacheng Tao, Stephen J. Maybank, Wei Liu, Guoliang Kang, Jie Yang. Multi-modal curriculum learning for semi-supervised image classification. IEEE Transactions on Image Processing (TIP), v 25, n 7, p 3249-3260, July 2016.                                         
  11. Wei Liu, Jie Yang ; Robust Color Guided Depth Map Restoration,accepted by IEEE Transactions on Image Processing (TIP)
  12. Wei Liu ; Xiaogang Chen ; Jie Yang ; Qiang Wu. Variable Bandwidth Weighting for Texture Copy Artifacts Suppression in Guided Depth Upsampling, is ready for your review.  IEEE Transactions on Circuits and Systems for Video Technology, 2016 (Accept).     DOI: 10.1109/TCSVT.2016.2556598
  13. Zhang, T., Jia, W. He, X. and Yang, J. Learning with Motion Weber Local Descriptor for Violence Detection[J].  IEEE Transactions on Circuits and Systems for Video Technology, 2016 (Accept). DOI: 10.1109/TCSVT.2016.2589858
  14. Tao Zhou, Harish Bhaskar, Fanghui Liu and Jie Yang. Graph Regularized and Locality-constrained Coding for Robust Visual Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2016 (Accept).  DOI: 10.1109/TCSVT.2016.2576941  
  15. Liu F, Zhou T, Yang J. Geometric affine transformation estimation via correlation filter for visual tracking[J]. Neurocomputing, 2016.    DOI:10.1016/j.neucom.2016.05.079            
  16. Fu, Keren; Gu, Irene Y. H.; Gong, Chen; Yang Jie, Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction , NEUROCOMPUTING , vol. 175: 336-347, JAN 29 2016
  17. Wang, Shengzheng; Tao, Dacheng; Yang, Jie, Relative Attribute SVM plus Learning for Age Estimation ,IEEE TRANSACTIONS ON CYBERNETICS;46(3): 827-839, MAR 2016.
  18. Zhang, Tao; Jia, Wenjing; Zhu, Yuemin; Yang Jie, Automatic tracking of neural stem cells in sequential digital images, BIOCYBERNETICS AND BIOMEDICAL ENGINEERING,  36(1): 66-75, 2016.  
  19. Ge, Chenjie; Fu, Keren; Liu, Fanghui ; Li Bai; Jie YangCo-saliency detection via inter and intra saliency propagation; SIGNAL PROCESSING-IMAGE COMMUNICATION, v44   p69-83, MAY 2016.
  20. Zhang, Tao; Jie Yang, Zhijie; Jia, Wenjing; A new method for violence detection in surveillance scenes; MULTIMEDIA TOOLS AND APPLICATIONS; v75, n12, p7327-7349, JUN 2016.
  21. Long, Wei ; Chen, XiaogangYang, JieAdaptive bound-constrained image deblurring with learned ringing suppression, Multimedia Tools and Applications, v 75, n 18, p 11327-11346, September 1, 2016.
  22. Keren Fu, Chen Gong, Irene Yu-Hua Gu,  Jie Yang, Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging, IEEE Transactions on Image Processing, 24(12):5671-5683,2015
  23. Gong, Chen; Tao, Dacheng; Liu, Tongliang; Fu, Keren; Tu, Enmei; Yang, Jie,  Deformed Graph Laplacian for Semi-supervised Learning, IEEE Transactions on Neural Networks and Learning Systems,v 26, n 10, p 2261-2274, October 1, 2015.
  24. Gong, Chen; Tao, Dacheng; Fu, Keren; Yang, Jie, FLAP: Fick’s Law Assisted Propagation for Semi-Supervised Learning, IEEE Transactions on Neural Networks and Learning Systems,v 26, n 9, p 2148-2162, September 1, 2015.
  25. Yipeng Song, Jie Yang, Lei Zhou, Yuemin Zhu. Electric Field Based Transfer Functions for Volume Visualization Journal of Medical and Biological Engineering. 35:270-277,2015.
  26. Chen, Xiaogang; Kang, Sing Bing; Yang, Jie; Fast Edge-Aware Denoising by Approximated Patch Geodesic Paths ,IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v25, n6, p897-909, JUN 2015.
  27. Wang, Sheng; Wu, Qiang; He, Xiangjian; Yang Jie,Local N-Ary Pattern and Its Extension for Texture Classification,IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v25, n9, p1495-1506, SEP 2015.
  28. Zhou, TaoHe, XiangjianXie, KaiFu, KerenZhang, JunhaoYang, Jie, Robust visual tracking via efficient manifold ranking with low-dimensional compressive features,  Pattern Recognition, v 48, n 8, p 2459-2473, August 1, 2015.
  29. Gong, Chen ; Fu, KerenLoza, ArturWu, QiangLiu, JiaYang, Jie, PageRank tracker: From ranking to tracking , IEEE Transactions on Cybernetics, v 44, n 6, p 882-893, June 2014.
  30. Zheng, ZL; Yu, MD; Jia, J; Liu, HW; Xiang, DH; Huang, XQ; Yang, J,  Fisher discrimination based low rank matrix recovery for face recognition, PATTERN RECOGNITION, 47(11): 3502-3511,2014
  31. Lei Zhou, Keren Fu, Yijun Li, Yu Qiao, Xiangjian He and Jie Yang: Bayesian Salient Object Detection Based on Saliency Driven Clustering.  Signal Processing: Image Communication volume 29(3), pages 434-447, 2014.
  32. Zhang, TaoYang, ZhijieJia, WenjingWu, QiangYang, JieHe, Xiangjian, Fast and robust head detection with arbitrary pose and occlusion , Multimedia Tools and Applications, v 74, n 21, p 9365-9385,June 10, 2014
  33. Yu-Wing Tai, Xiaogang Chen, Sunyeong Kim, Seon Joo Kim, Feng Li and Jie Yang,  Nonlinear Camera Response Functions and Image Deblurring: Theoretical Analysis and Practice, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Oct. 2013 Vol. 35 no. 10,  pp. 2498-2512, 2013.
  34. Enmei Tu, Jie Yang, Jiangxiong Fang, Zhenghong Jia and Nikola Kasabov, An experimental comparison of semi-supervised learning algorithms for multispectral image classification; Photogrammetric Engineering and Remote Sensing, v 79, n 4, p 347-357, April 2013
  35. Yonghui Gao, Jie Yang, et al., Efficient cellular automaton segmentation supervised by pyramid on medical volumetric data and real time implementation with graphics processing unit, Expert Systems with Applications, 38, n 6, p 6866-6871, June 2011.
  36. Zhonglong Zheng and Jie Yang, Exemplar Based Laplacian Discriminant Projection, Expert Systems With Applications, Elsevier, 38(1), 1061-1065, 2011.
  37. Tianhao Zhang, Kaiqi Huang, Xuelong Li, Jie Yang, Dacheng Tao, Discriminative Orthogonal Neighborhood Preserving Projections for Classification, IEEE Transactions on Systems, Man and Cybernetics, Part B, IEEE, 40(1),  253-263, 2010.
  38. Shengzheng Wang and Jie Yang. Simulating cranio-maxillofacial surgery based on mixed-element biomechanical modelling, Computer Methods in Biomechanics and Biomedical Engineering, 13(3), 419-429, 2010.
  39. Tianhao Zhang, Dacheng Tao, Xuelong Li and Jie Yang. Patch Alignment for Dimension Reduction, IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE, 21(9), 1299-1313, 2009.
  40. Jie Yang, Xufeng Ling, Yitan Zhu and Zhonglong Zheng. A face detection and recognition system in color image series, Mathematics and Computers in Simulation, 77(5-6), 531-539, 2008.
  41. ZL Zheng, H. Hong, Chunjiang DM and J. Yang. Facial feature localization based on an improved active shape model, Information Sciences, 178(9), 2215-2223, May 2008.
  42. Tianhao Zhang, Xuelong Li, Dacheng Tao and Jie Yang. Multimodal biometrics using geometry preserving projections, Pattern Recognition, 41, 805-813, 2008.
  43. Tianhao Zhang, Xuelong Li, Dacheng Tao, and Jie Yang. Local Coordinates Alignment (LCA): A Novel Method for Manifold Learning, International Journal of Pattern Recognition and Artificial Intelligence, 22(4), 667-690, 2008.
  44. Shen, Hong-Bin; Yi, Dong-Liang; Yao, Li-Xiu; Yang,Jie; Knowledge-based computational intelligence development for predicting protein secondary structures from sequences; EXPERT REVIEW OF PROTEOMICS, v5, n5, p653-662, OCT 2008.
  45. ZL Zheng, H. Hong, DM. Chunjiang and J. Yang. Facial feature localization based on an improved active shape model, Information Sciences, 178(9), 2215-2223, May 2008.
  46. Xiangyang Wang and Jie Yang, Feature Selection Based on Rough Sets and Particle Swarm Optimization, Pattern Recognition Letters, 28(4), 459-471, 2007.
  47. Danqing Liu, Hui Liu, Hongbin Shen, Jie Yang and Kuochen Chou. Predicting Secretory Protein Signal Sequence Cleavage Sites by Fusing the Marks of Global Alignments, Amino Acids, 32(4), 493-496, 2007.
  48. H.B. Shen, J. Yang and K.C. Chou. Euk-PLoc: an Ensemble Classifier for Large-Scale Eukaryotic Protein Subcellular Location Prediction, Amino Acids, 33(1), 57-67, 2007.
  49. Huahua Wang, Yue Zhou, Xinliang Ge and Jie Yang. Subspace Evolution Analysis for Face Representation and Recognition, Pattern Recognition, 40(1), 335-338, 2007.
  50. S.Q. Wang, J. Yang and K.C. Chou, Using Stacked Generalization to Predict Membrane Protein Types Based on Pseudo-Amino Acid Composition, Journal of Theoretical Biology, vol. 242, no. 4, pp. 941-946, 2006.
  51. L. Chen, Y. Zhou, Y.G. Wang and J. Yang, GACV: Geodesic-Aided C-V Method, Pattern Recognition, vol. 39, no. 7, pp. 1391-1395, 2006.
  52. H.B. Shen, J. Yang and K.C. Chou, Fuzzy KNN for Predicting Membrane Protein Types from Pseudo-Amino Acid Composition, Journal of Theoretical Biology, vol. 240, no. 1, pp. 9-13, 2006.
  53. Meng Wang, Jie Yang, Zhijie Xu, et al., SLLE for Predicting Membrane Protein Types, Journal of Theoretical Biology, vol. 232, no. 1, pp. 7-15, 2005.
  54. M. Wang, J. Yang and K.C. Chou, Using String Kernel to Predict Signal Peptide Cleavage Site Based on Subsite Coupling Model, Amino Acids, vol. 28, no. 4, pp. 395-402, 2005.
  55. H. Liu, J. Yang, J.G. Ling, K.C. Chou, Prediction of Protein Signal Sequences and Their Cleavage Sites by Statistical Rulers, Biochemical and Biophysical Research Communications, vol. 338, no. 2, pp. 1005-1011, 2005.
   
  1. Chen Gong, Dacheng Tao, Jie Yang. Teaching-to-Learn and Learning-to-Teach for Multi-label Propagation, AAAI Conference on Artificial Intelligence, 2016.    
  2. Yun Gu, Chao Ma, Jie Yang, Supervised Recurrent Hashing for Large Scale Video Retrieval, ACM Multimedia, 2016.                             
  3. Chen Gong, Dacheng Tao , Wei Liu, Stephen Maybank, Meng Fang, Keren Fu, Jie Yang, Teaching-to-Learn and Learning-to-Teach Saliency, 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015).
  4. Ying Wan, Xiongbiao Luo, Xiangjian He, Jie Yang et al., Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Electromagnetic Tracking, 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR2014).
  5. Gong, Chen ; Tao, DachengYang, JieFu, Keren, Signed Laplacian embedding for supervised dimension reduction, Proceedings of the National Conference on Artificial Intelligence (AAAI2014), v 3, p 1847-1853, 2014
  6. Gong, Chen ; Tao, DachengFu, KerenYang, Jie, ReLISH: Reliable Label Inference via Smoothness Hypothesis , Proceedings of the National Conference on Artificial Intelligence (AAAI2014), v 3, p 1840-1846, 2014
  7. Tao Zhou, Xiangjian He, Kai Xie, Keren Fu, Junhao Zhang, Jie Yang, Visual tracking via graph-based efficient manifold ranking with low-dimensional compressive features, ICME2014.
  8.  Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang, Spectral Salient Object Detection, ICME2014.
  9. Xiaogang Chen, Sing Bing Kang, Jie Yang, Jingyi Yu, Fast Patch-based Denoising Using Approximated Patch Geodesic Paths, IEEE 2013 Computer Vision and Pattern Recognition (CVPR2013).

 

Others

Professional Affiliations

  • Conference Chair:          ICMII2011, ICONIP2011, MMM2015, PV2015,ICSAI2016
  • Conference Session Chair:   ICDSC2012, ICIP 2011
  • Invited Talk:              ICMT2011,  CIT2008, NCEI2015, IBCAST2017
  • Member of conference committees: ICMII2011, ICONIP2011,ICDSC2012, ICIP 2011,        ICDSC2013, ICDSC2014,  AmI2013, CIT2008,RSKT2010, CIT2011,  CCBR2011,   LBP'2014, ICSP2014, MMM2015, PV2015, ICIEA2017.

      

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