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哈尔滨工业大学计算机科学与技术学院/国家示范性软件学院研究生考研导师简介-翟德明

本站小编 Free考研网/2019-05-25

基本信息Research
Basic Information
Dr. Deming Zhai is currently a lecturer, master student supervisor with the Department of Computer Science, Harbin Institute of Technology (HIT), Harbin, China. She received the B.S., M.S., and Ph.D. (Hons.) degrees in computer science from HIT in 2007, 2009, and 2014, respectively. In 2008, she joined the Joint Research and Development Lab (JDL), Chinese Academy of Sciences, Beijing, as a research assistant. In 2011, she spent half a year in Hong Kong University of Science and Technology as a visiting student. From March of 2012, she is with GRASP Laboratory, University of Pennsylvania, PA, USA, as a visiting scholar. In 2015, she worked as a project researcher at National Institute of Informatics (NII), Tokyo, Japan for one year. Her research interests include machine learning, data mining and their applications in computer vision and image processing.







招收硕士研究生,研究方向:机器学习,数据挖掘,以及在计算机视觉和图像处理方面的应用,感兴趣的同学请与我联系。谢谢!




Research Interests
Broadly interested in Machine Learning and Image Processing:

1. Hash function learning; metric learning; semi-supervised learning

2. Large-scale multimedia retrieval; classification; clustering


3. Image/video super resolution

4. Convex Optimization.




Publications
Published Journal Paper:

1. Deming Zhai, Xianming Liu, Xiangyang Ji,Debin Zhao, Shin’ichi Satoh, Wen Gao: Supervised Distributed Hashing for Large-Scale Multimedia Retrieval. IEEE Transactions on Multimedia 2018.

2. Deming Zhai, Xianming Liu, Hong Chang, Yi Zhen, Xilin Chen, Maozu Guo, Wen Gao: Parametric Local Multiview Hamming Distance Metric Learning. Pattern Recognition 2018.

3. Deming Zhai, Yu Zhang, Dit-Yan Yeung, Hong Chang, Xilin Chen, Wen Gao: Instance-specific canonical correlation analysis. Neurocomputing 155: 205-218 (2015)

4. Deming Zhai, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao: Multiview Metric Learning with Global Consistency and Local Smoothness.ACM Transactions on Intelligent Systems and Technology 3(3): 53:1-53:22 (2012)

5. Xianming Liu, Deming Zhai, Debin Zhao, Guangtao Zhai, Wen Gao: Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework. IEEE Trans. Image Processing 23(4): 1491-1503 (2014)

6. Xianming Liu, Deming Zhai, Jiantao Zhou, Xinfeng Zhang, Debin Zhao, Wen Gao: Compressive Sampling-Based Image Coding for Resource-Deficient Visual Communication.IEEE Trans. Image Processing 25(6): 2844-2855 (2016)
7. Xianming Liu, Deming Zhai, Jiantao Zhou, Shiqi Wang, Debin Zhao, Huijun Gao: Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization. IEEE Trans. Image Processing 26(2): 782-796 (2017)

Conferences:

8. Deming Zhai, Hong Chang, Yi Zhen, Xianming Liu, Xilin Chen, Wen Gao: Parametric Local Multimodal Hashing for Cross-View Similarity Search. IJCAI 2013: 2754-2760

9. Deming Zhai, Xianming Liu, Debin Zhao, Hong Chang, Wen Gao: Progressive Image Restoration through Hybrid Graph Laplacian Regularization. DCC 2013: 103-112
10. Deming Zhai, Hong Chang, Xilin Chen, Wen Gao: Instance-specific canonical correlation analysis for pose alignment. ICIP 2013: 2544-2547

11. Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao: Manifold Alignment via Corresponding Projections. BMVC 2010: 1-11

12. Deming Zhai, Hong Chang, Bo Li, Shiguang Shan, Xilin Chen, Wen Gao: Semi-Supervised Discriminant Analysis via Spectral Transduction. BMVC 2009: 1-12

13. Deming Zhai, Xianming Liu, Jiantao Zhou, Debin Zhao, Wen Gao: Spatial error concealment via model based coupled sparse representation. ICME Workshops 2013: 1-4


14. Xianming Liu, Deming Zhai, Debin Zhao, Wen Gao: Image Super-Resolution via Hierarchical and Collaborative Sparse Representation. DCC2013: 93-102
15. Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Ruiqin Xiong, Wen Gao: Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression. DCC 2012: 169-178

16. Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Wen Gao: Web image interpolation via weighted total least squares regression. ICASSP 2012: 925-928

17. Xianming Liu, Deming Zhai, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao: Side information extrapolation with temporal and spatial consistency. ISCAS 2011: 2918-2921

18. Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao: Sparsity-based joint gaze correction and face beautification for conferencing video. VCIP2015: 1-4

19. Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao, Hiroshi Sankoh, Sei Naito: Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding. ICIP 2014: 4697-4701





















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