| 20 Mar 2017 (Mon) |
| SWT501, Shaw Tower, Shaw Campus |
| Morning Session Chair: Michael Ng |
| 09:20-09:30 |
Opening |
| 09:30-10:10 |
Charles Chui
Means for knowledge dissemination with samples and case studies |
| 10:10-10:50 |
Gerlind Plonka
Sparse phase retrieval of one-dimensional signals by Prony's method |
| 10:50-11:10 |
Break |
| 11:10-11:50 |
Sergei Pereverzyev
Balancing principle in supervised learning for a general regularization scheme |
| 11:50-12:30 |
Dao-Qing Dai
Sparse dictionary regression with applications |
| 12:30-14:00 |
Lunch (by invitation) |
| Afternoon Session Chair: Charles Chui |
| 14:00-14:40 |
Matthew Hirn
Learning many body physics via multiscale, multilayer machine learning architectures |
| 14:40-15:20 |
Jianzhong Wang
Ensemble boosting algorithms based on data sorting for semi-supervised classification |
| 15:20-16:00 |
Break |
| 16:00-16:40 |
Tao Qian
Adaptive orthonormal systems for matrix-valued functions |
| 16:40-17:20 |
M.D. van der Walt
Atomic signal decomposition via SuperEMD |
| 17:20-18:00 |
Haizhao Yang
Recursive schemes for shape functions in the mode decomposition problem |
| |
|
| 21 Mar 2017 (Tue) |
| SWT501, Shaw Tower, Shaw Campus |
| Morning Session Chair: Ding-Xuan Zhou |
| 09:30-10:10 |
Frèdèric Chazal
Data driven estimation of the Laplace-Beltrami operator |
| 10:10-10:50 |
Raymond H. Chan
Geometric tight frame based stylometry for an Authentication of van Gogh paintings |
| 10:50-11:10 |
Break |
| 11:10-11:50 |
Zhiqiang Xu
The minimal measurement number for low-rank matrix recovery |
| 11:50-12:30 |
Jianfeng Cai
Non-convex methods for low-rank matrix reconstruction |
| 12:30-14:00 |
Lunch (by invitation) |
| Afternoon Session Chair: Henry Ngan |
| 14:00-14:40 |
Wenchang Sun
Frames of uniform subframe bounds with applications to erasures |
| 14:40-15:20 |
Shaobo Lin
Distributed semi-supervised learning |
| 15:20-16:00 |
Break |
| 16:00-16:40 |
Ting Hu
Convergence of gradient descent for kernel minimum error entropy principle |
| 16:40-17:20 |
Junhui Wang
Gradient-induced model-free variable selection |
| 17:20-18:00 |
Can Yang
Adaptive False Discovery Rate regression with application in integrative analysis of large-scale genomic data |
| |
|
| 22 Mar 2017 (Wed) |
| SWT501, Shaw Tower, Shaw Campus |
| Morning Session Chair: Charles Chui |
| 09:30-10:10 |
Yuesheng Xu
Mathematics in data science |
| 10:10-10:50 |
Sergiy Pereverzyev Jr.
Adaptive Nyström subsampling for dealing with Big Data |
| 10:50-11:10 |
Break |
| 11:10-11:50 |
Lihua Yang
Questions on mono-components |
| 11:50-12:30 |
Xin Guo
Convergence of the Randomized Kaczmarz Algorithm in Hilbert Space |
| 12:30-14:00 |
Lunch (by invitation) |
| Afternoon Session Chair: Michael Ng |
| 14:00-14:40 |
Xiaoming Huo
Challenges in data science and a possible roadmap of future work |
| 14:40-15:20 |
Qiang Wu
Bias correction for regularized kernel regression with applications in distributed learning |
| 15:20-16:00 |
Break |
| 16:00-16:40 |
Weiguo Gao
Algorithms for group sparsity with overlap and beyond |
| 16:40-17:20 |
Wai-Ki Ching
Construction of probabilistic boolean networks with applications |
| 17:20-18:00 |
Xiaosheng Zhuang
Multiscale data analysis: Framelets, manifolds and graphs |
| 18:30 |
Banquet (by invitation) |
| |
|
| 23 Mar 2017 (Thu) |
| FSC501, Fong Shu Chuen Library, Ho Sin Hang Campus |
| Morning Session Chair: Henry Ngan |
| 09:30-10:10 |
Simon Foucart
Computing a quantity of interest from observational data |
| 10:10-10:50 |
Lek-Heng Lim
Tensor network ranks |
| 10:50-11:10 |
Break |
| 11:10-11:50 |
Jian Huang
A constructive approach to L0-penalized linear regression |
| 11:50-12:30 |
Hongzhi Tong
Calibration of $\varepsilon$-insensitive loss in support vector machines regression |
| 12:30-14:00 |
Lunch (by invitation) |
| |
|
| 24 Mar 2017 (Fri) |
| SWT501, Shaw Tower, Shaw Campus |
| Morning Session Chair: Henry Ngan |
| 09:30-10:10 |
Holger Wendland
Kernel-based reconstructions for parametric PDEs |
| 10:10-10:50 |
Ronald Lok Ming Lui
Restoration of atmospheric turbulence-distorted images via RPCA and
Quasiconformal maps |
| 10:50-11:10 |
Break |
| 11:10-11:50 |
Sou-Cheng Terrya Choi
Probabilistic record linkage and address standardization |
| 11:50-12:30 |
Xiaojun Chen
Nonsmooth, nonconvex regularization for sparse optimization |
| 12:30-14:00 |
Lunch (by invitation) |
| Afternoon Session Chair: Ding-Xuan Zhou |
| 14:00-14:40 |
Xiaoming Yuan
How to implement ADMM to large-scale datasets? |
| 14:40-15:20 |
Yingchun Jiang
Spatially distributed sampling and reconstruction of signals on a graph |
| 15:20-16:00 |
Yuan Yao
Boosting with structural sparsity – A differential inclusion approach |
| |
Closing |
