About Speakers Schedule Slides Contact Us INS
International Workshop on Recent Advances on Mathematical Imaging and Data Science (July 2-6, 2019, SJTU)

Day 1, 3 July, Wednesday

Time Speaker Title
08:45 - 09:00 Open Remarks by Shi Jin
Chair:Shi Jin
09:00 - 09:50 Weinan E Mathematical Theory of Neural Network Based Machine Learning
09:50 - 10:20 Xianfeng Gu Conformal Geometric Method for Medical Imaging
10:20 - 10:50 Group Photo & Coffee Break
Chair: Xiaoqun Zhang
10:50 - 11:20 Jalal Fadili Learning Guarantees with Mirror Stratifiable Regularization
11:20 - 11:50 Michael Ng Robust Tensor Completion and Its Applications
Chair: Bin Dong
14:00 - 14:30 Dexing Kong Homogeneous Perturbation Theory and Radiofrequency Ablation of Liver Cancer
14:30 - 15:00 Jian Sun Model Meets Deep Learning: Model-Driven Deep Learning in Image Analysis
15:00 - 15:30 Rongjie Lai Parallel Transport Convolutional Neural Networks on Manifolds
15:30 - 16:00 Coffee Break
Chair: Rongjie Lai
16:00 - 16:30 Jianwei Ma Denoising with Weak Feature Preservation by Group-Sparsity Transfrom Learning
16:30 - 17:00 Zhiqin Xu Deep Learning Theory: The F-Principle and An Optimization Framework

Day 2, 4 July, Thursday

Time Speaker Title
Chair: Xianfeng Gu
09:00 - 09:50 Zuowei Shen Deep Approximation via Deep Learning
09:50 - 10:20 Xue-Cheng Tai 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 Computing Quasiconformal Folds
11:20 - 11:50 Yifei Lou Nonconvex Approaches in Data Science
Chair: Xue-Cheng Tai
14:00 - 14:30 Hui Ji Blind Image Deblurring: Interaction between Regularization and Bayes Learning
14:30 - 15:00 Bin Dong Learning and Learning to Solve PDEs
15:00 - 15:30 Tieyong Zeng Image Recovery: Classical Methods and Deep Learning
15:30 - 16:00 Coffee Break
Chair: Jian Sun
16:00 - 16:30 Sixin Zhang Scattering and Phase Harmonic Representations of High-Dimensional Data
16:30 - 17:00 Yaxin Peng Metric Learning and Its Applications to Data Mining

Day 3, 5 July, Friday

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