Shenghua Gao
Assistant Professor, PI
Information Science and Technology
Shanghai Tech University
China
Biography
Dr. Shenghua Gao is an assistant professor , PI(Tenure-track) in ShanghaiTech University, China. He received the B.E. degree from the University of Science and Technology of China in 2008 (outstanding graduates), and received the Ph.D. degree from the Nanyang Technological University in 2012. From Jun 2012 to Jul 2014, he worked as a postdoctoral fellow in Advanced Digital Sciences Center, Singapore. His research interests include computer vision and machine learning, and now he is focusing on face and object recognition. He has published more than 20 papers on object and face recognition related topics in many international conferences and journals, including IEEE T-PAMI, IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE TCSVT, CVPR, ECCV, etc.). He was awarded the Microsoft Research Fellowship in 2010.
Research Interest
Computer vision: Object Recognition / Face Recognition / Image Segmentation / Saliency Detection Machine Learning: Supervised / Semi-supervised Learning / Deep Learning / Sparse Representation
Publications
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Shenghua Gao, Kui Jia, Liansheng Zhuang, Yi Ma. Neither Global Nor Local: Regularized Patch-based Representation for Single Sample Per Person Face Recognition. To appear in International Journal of Computer Vision.
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Shenghua Gao, Ivor Wai-Hung Tsang and Liang-Tien Chia. Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 35:(1):92-104, Jan 2013.
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Shenghua Gao, IvorWai-Hung Tsang and Liang-Tien Chia. Sparse Representation with Kernels, IEEE Transactions on Image Processing (TIP). 22(2):423 - 434, Feb 2013.
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Shenghua Gao, IvorWai-Hung Tsung, Yi Ma. Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. IEEE Transactions on Image Processing (TIP),23(2):623 - 634, Feb 2014.
