About
Speakers
Schedule
Slides
Contact Us
INS
International Workshop on Recent Advances on Mathematical Imaging and Data Science (July 2-6, 2019, SJTU)
menu
International Workshop on Recent Advances on Mathematical Imaging and Data Science (July 2-6, 2019, SJTU)
About
Speakers
Schedule
Slides
Contact Us
INS
Speakers
Chenglong Bao
Tsinghua University, China
-
Mathematical Modeling in Phase Space Tomography
Jae-Kyu Choi
Tongji University, China
-
HIRE: Harmonic Incompatibility REmoval Model for Whole Brain Susceptibility Imaging
Bin Dong
Peking University, China
-
Learning and Learning to Solve PDEs
Weinan E
Princeton University, USA
-
Mathematical Theory of Neural Network Based Machine Learning
Jalal Fadili
Ecole Nationale Supérieure d'Ingénieurs de Caen, France
-
Learning Guarantees with Mirror Stratifiable Regularization
Jacques Froment
Université de Bretagne Sud , France
-
Two Mathematical Approaches for Hyperspectral and Multispectral Image Fusion
Xianfeng Gu
State University of New York at Stony Brook, USA
-
Conformal Geometric Method for Medical Imaging
Hui Ji
National University of Singapore, Singapore
-
Blind Image Deblurring: Interaction between Regularization and Bayes Learning
Dexing Kong
Zhejiang University, China
-
Homogeneous Perturbation Theory and Radiofrequency Ablation of Liver Cancer
Rongjie Lai
Rensselaer Polytechnic Institute, USA
-
Parallel Transport Convolutional Neural Networks on Manifolds
Yifei Lou
University of Texas Dallas, USA
-
Nonconvex Approaches in Data Science
Ronald Lui
The Chinese University of Hong Kong, China
-
Computing Quasiconformal Folds
Jianwei Ma
Haerbin Institue of Technology, China
-
Denoising with Weak Feature Preservation by Group-Sparsity Transfrom Learning
Jean-Michel Morel
Ecole normale supérieure de Cachan, France
-
Is There a General Theory for the Detection of Anomalies in Images?
Michael Ng
Hong Kong Baptist University, China
-
Robust Tensor Completion and Its Applications
Yaxin Peng
Shanghai University, China
-
Metric Learning and Its Applications to Data Mining
Zuowei Shen
National University of Singapore, Singapore
-
Deep Approximation via Deep Learning
Zuoqiang Shi
Tsinghua University, China
-
PDE-Based Models in Machine Learning
Jian Sun
Xi'an Jiao Tong University, China
-
Model Meets Deep Learning: Model-Driven Deep Learning in Image Analysis
Xue-Cheng Tai
Hong Kong Baptist University, China
-
Simplified Energy Landscape for Modularity using Total Variation for Data Analysis
Ke Wei
Fudan University, China
-
Solving Systems of Quadratic Equations: Manifold Algorithms and Global Geometry
Zhiqin Xu
New York University Abu Dhabi, USA
-
Deep Learning Theory: The F-Principle and An Optimization Framework
Yuan Yao
Hong Kong University of Science and Technology, China
-
Robustness, GANs, and Parsimonius Deep Learning by Differential Inclusions
Tieyong Zeng
The Chinese University of Hong Kong, China
-
Image Recovery: Classical Methods and Deep Learning
Sixin Zhang
Peaking University, China
-
Scattering and Phase Harmonic Representations of High-Dimensional Data
Xiaoqun Zhang
Shanghai Jiao Tong University, China
-
Variational Image Restoration: from Sparsity to Learning Based Approaches
Hao-Min Zhou
Georgia Institute of Technology, USA
-
Data Matching by Inverse Optimal Transport