International Workshop on Recent Advances on Mathematical Imaging and Data Science (July 2-6, 2019, SJTU)

Time	Speaker	Affiliation	Title
08:45 - 09:00	Open Remarks by Shi Jin
	Chair：Shi Jin
09:00 - 09:50	Weinan E	Princeton University, USA	Mathematical Theory of Neural Network Based Machine Learning
09:50 - 10:20	Xianfeng Gu	State University of New York at Stony Brook, USA	Conformal Geometric Method for Medical Imaging
10:20 - 10:50	Group Photo & Coffee Break
	Chair: Xiaoqun Zhang
10:50 - 11:20	Jalal Fadili	Ecole Nationale Supérieure d'Ingénieurs de Caen, France	Learning Guarantees with Mirror Stratifiable Regularization
11:20 - 11:50	Michael Ng	Hong Kong Baptist University, China	Robust Tensor Completion and Its Applications
	Chair: Bin Dong
14:00 - 14:30	Dexing Kong	Zhejiang University, China	Homogeneous Perturbation Theory and Radiofrequency Ablation of Liver Cancer
14:30 - 15:00	Jian Sun	Xi'an Jiao Tong University, China	Model Meets Deep Learning: Model-Driven Deep Learning in Image Analysis
15:00 - 15:30	Rongjie Lai	Rensselaer Polytechnic Institute, USA	Parallel Transport Convolutional Neural Networks on Manifolds
15:30 - 16:00	Coffee Break
	Chair: Rongjie Lai
16:00 - 16:30	Jianwei Ma	Haerbin Institue of Technology, China	Denoising with Weak Feature Preservation by Group-Sparsity Transfrom Learning
16:30 - 17:00	Zhiqin Xu	New York University Abu Dhabi, USA	Deep Learning Theory: The F-Principle and An Optimization Framework

Time	Speaker	Affiliation	Title
	Chair: Xianfeng Gu
09:00 - 09:50	Zuowei Shen	National University of Singapore, Singapore	Deep Approximation via Deep Learning
09:50 - 10:20	Xue-Cheng Tai	Hong Kong Baptist University, China	Simplified Energy Landscape for Modularity using Total Variation for Data Analysis
10:20 - 10:50	Coffee Break
	Chair: Hui Ji
10:50 - 11:20	Ronald Lui	The Chinese University of Hong Kong, China	Computing Quasiconformal Folds
11:20 - 11:50	Yifei Lou	University of Texas Dallas, USA	Nonconvex Approaches in Data Science
	Chair: Xue-Cheng Tai
14:00 - 14:30	Hui Ji	National University of Singapore, Singapore	Blind Image Deblurring: Interaction between Regularization and Bayes Learning
14:30 - 15:00	Bin Dong	Peking University, China	Learning and Learning to Solve PDEs
15:00 - 15:30	Tieyong Zeng	The Chinese University of Hong Kong, China	Image Recovery: Classical Methods and Deep Learning
15:30 - 16:00	Coffee Break
	Chair: Jian Sun
16:00 - 16:30	Sixin Zhang	Peaking University, China	Scattering and Phase Harmonic Representations of High-Dimensional Data
16:30 - 17:00	Yaxin Peng	Shanghai University, China	Metric Learning and Its Applications to Data Mining

Time	Speaker	Affiliation	Title
	Chair: Zuowei Shen
09:00 - 09:50	Jean-Michel Morel	Ecole normale supérieure de Cachan, France	Is There a General Theory for the Detection of Anomalies in Images?
09:50 - 10:20	Hao-Min Zhou	Georgia Institute of Technology, USA	Data Matching by Inverse Optimal Transport
10:20 - 10:50	Coffee Break
	Chair: Jalal Fadili
10:50 - 11:20	Jacques Froment	Université de Bretagne Sud , France	Two Mathematical Approaches for Hyperspectral and Multispectral Image Fusion
11:20 - 11:50	Yuan Yao	Hong Kong University of Science and Technology, China	Robustness, GANs, and Parsimonius Deep Learning by Differential Inclusions
	Chair: Hao-Min Zhou
14:00 - 14:30	Ke Wei	Fudan University, China	Solving Systems of Quadratic Equations: Manifold Algorithms and Global Geometry
14:30 - 15:00	Zuoqiang Shi	Tsinghua University, China	PDE-Based Models in Machine Learning
15:00 - 15:30	Xiaoqun Zhang	Shanghai Jiao Tong University, China	Variational Image Restoration: from Sparsity to Learning Based Approaches
15:30 - 16:00	Coffee Break
	Chair: Zuoqiang Shi
16:00 - 16:30	Chenglong Bao	Tsinghua University, China	Mathematical Modeling in Phase Space Tomography
16:30 - 17:00	Jae-Kyu Choi	Tongji University, China	HIRE: Harmonic Incompatibility REmoval Model for Whole Brain Susceptibility Imaging