Ming Zhang章銘Ph.D.
Centre for Intelligent Multidimensional Data Analysis Limited (CIMDA), |
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I am currently a Postdoctoral Fellow at CIMDA located in the Hong Kong Science Park. Before that, I earned my Ph.D. degree in the Department of Electrical Engineering (EE), City University of Hong Kong (CityU), supervised by Prof. Hong Yan. I obtained my MSc. degree in Electronic Information Engineering (with Distinction), also from the EE department, CityU. I received a B.Eng. degree in Automation from Nanjing Normal University (NNU) in 2017.
My research interests include machine learning and computer vision.
News
[Nov 2021] Start my journey as a postdoc. at CIMDA
[Aug 2021] I successfully passed my Ph.D. oral defense
[Jun 2021] One paper accepted by MVA'21
[Apr 2021] One paper accepted by Pattern Recognition
[Oct 2020] One paper accepted by ICPR'20
[Aug 2020] Research Tuition Scholarship (RTS) of City University of Hong Kong
[Dec 2019] One paper accepted by Pattern Recognition
Selected Publications [Google Scholar]
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Orthonormal Product Quantization Network for Scalable Face Image Retrieval Ming Zhang, Xuefei Zhe, Hong Yan. |
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Deep Center-Based Dual-Constrained Hashing for Discriminative Face Image Retrieval Ming Zhang, Xuefei Zhe, Shifeng Chen, Hong Yan. |
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Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval Ming Zhang, Hong Yan. The 25th International Conference on Pattern Recognition (ICPR), 2020 |
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Deep Eigen-Filters for Face Recognition: Feature Representation via Unsupervised Multi-Structure Filter Learning Ming Zhang, Sheheryar Khan, Hong Yan. Pattern Recognition (PR), 2020. |
Honors & Awards
Research Tuition Scholarship (RTS), City University of Hong Kong, 2020
Honorable Mention, The Interdisciplinary Contest In Modeling (ICM), 2016
The First Prize in Jiangsu Province, China Undergraduate Mathematical Contest in Modeling (CUMCM), 2015
Professional Activities
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Paper Reviews
IJCAI 2021
Neurocomputing -
Conference Presentations
MVA 2021
ICPR 2020