Electronic Engineering Department, The Chinese University of Hong Kong - Prof LI, Hongsheng 李鴻升
Assistant Professor
BEng (ECUST, China), M.Sc., Ph.D. (Lehigh)
homepage Rm 313, Ho Sin Hang Engineering Building phone Tel: +852 3943 8259 This email address is being protected from spambots. You need JavaScript enabled to view it.
hyperlinkhttp://www.ee.cuhk.edu.hk/~hsli/

Research Interests:

Compute vision, medical imaging, deep learning

Research Highlights

 

 

 

Resume of Career

Hongsheng Li received the bachelor’s degree in automation from East China University of Science and Technology, and the master’s and doctorate degrees in computer science from Lehigh University, Pennsylvania, in 2006, 2010, and 2012, respectively. From 2013-2015, he was an associate professor in the School of Electronic Engineering at University of Electronic Science and Technology of China. He is currently an assistant professor in the department of Electronic Engineering at the Chinese University of Hong Kong.

Current Research Interests

Compute vision, medical imaging, deep learning

Publications for the Past 3 Years

  1. C. Zhang, H. Li, X. Wang, X. Yang, "Cross-Scene Crowd Counting via Deep Convolutional Neural Networks", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015

  2. S. Yi, H. Li, X. Wang, "Understanding Pedestrian Behaviors From Stationary Crowd Groups", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015

  3. R. Zhao, W. Ouyang, H. Li, X. Wang, "Saliency Detection by Multi-Context Deep Learning", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015

  4. W. Ouyang, X. Wang, X., S. Qiu, P. Luo, Y. Tian, H. Li, S. Yang, Z. Wang, C.-C. Loy, X. Tang, "DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015

  5. M. Jiang, S. Zhang, H. Li, D. N. Metaxas, "Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval", IEEE Transactions on Biomedical Engineering, 62(2): 783-792, 2015

  6. J. Cheng, H. Liu, F. Wang, H. Li, C. Zhu, "Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning", IEEE Transactions on Image Processing, 24(10): 3203-3217, 2015

  7. H. Li, X. Huang, J. Huang, S. Zhang, "Feature Matching with Affine-Function Transformation Models", IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(12): 2407-2422, 2014

  8. H. Li, Y. Zheng, S. Zhang, J. Cheng, "Solving a Special Type of Jigsaw Puzzles: Banknote Reconstruction From a Large Number of Fragments", IEEE Transactions on Multimedia, 16(2): 571-578, 2014

  9. C. Chen, J. Huang, L. He, H. Li, "Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction",  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014

  10. J. Cheng, L. Li, H. Li, F. Wang, "SAR target recognition based on improved joint sparse representation", EURASIP Journal on Advances in Signal Processing, 87, 2014

  11. J. Cheng, H. Liu, H. Li, "Silhouette analysis for human action recognition based on maximum spatio-temporal dissimilarity embedding", Machine Vision Applications, 25(4): 1007-1018, 2014

  12. Y. Zheng, D. Ebenezer, A. A. Hunter III, R. Xiao, J. Gao, H. Li, M. G. Maguire, D. H. Brainard, J. C. Gee, "Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix", Medical Image Analysis, 18(6): 903-913, 2014

  13. X. Zhang, Z. Liu, H. Li, X. Zhao, P. Zhang, "Statistical background subtraction based on imbalanced learning", IEEE Conference on Multimedial and Expo, 2014

  14. H. Li, L. He, X. Huang, "Object Matching Using a Locally Affine Invariant and Linear Programming Techniques", IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(2): 411-424, 2013

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