Introduction
This international workshop aims to provide a forum for researchers from Hong Kong and Mainland China to exchange ideas with international experts working on Multiscale Methods and Scientific Machine Learning. It also aims to promote international collaboration on Multiscale Methods and Scientific Machine Learning, and their applications.
Organizing Committee
- Eric Chung The Chinese University of Hong Kong
- Yalchin Efendiev Texas A&M University
- Guanglian Li University of Hong Kong
Invited Speakers
- Weizhu Bao National University of Singapore
- Daniele Boffi King Abdullah University of Science and Technology
- Xiaochuan Cai University of Macau
- Bjorn Engquist University of Texas at Austin
- Helmut Harbrecht University of Basel
- Patrick Henning Ruhr-University Bochum
- Viet Ha Hoang Nanyang Technological University
- Jian Huang Xiangtan University
- Yunqing Huang Xiangtan University
- Shi Jin Shanghai Jiaotong University
- Axel Klawonn University of Cologne
- Frederic Legoll Ecole Nationale des Ponts et Chaussées
- Wing Tat Leung City University of Hong Kong
- Guanglian Li University of Hong Kong
- Qifeng Liao ShanghaiTech University
- Alexei Lozinski Université de Franche-Comté
- Ekaterina Muravleva Skoltech
- Ivan Oseledets AIRI and Skoltech
- Houman Owhadi Caltech
- Daniel Peterseim University of Augsburg
- Jianliang Qian Michigan State University
- Robert Scheichl University of Heidelberg
- Timo Sprekeler National University of Singapore
- Yuhe Wang China University of Petroleum (East China)
- Yang Xiang The Hong Kong University of Science and Technology
- Zhiqin Xu Shanghai Jiaotong University
- Bicheng Yan King Abdullah University of Science and Technology
- Lei Zhang Shanghai Jiaotong Univeristy
- Zhiwen Zhang University of Hong Kong
- Xiang Zhou City University of Hong Kong
Registration
The registration is free, but is required for participation. To register, please fill in the following form.
Registration formSchedule
The workshop will take place at the Yasumoto International Academic Park (YIA), Room LT2.
December 04, 2023 (Monday)
8:50-9:00 | Opening remarks |
9:00-9:30 | Bjorn Engquist |
9:35-10:05 | Shi Jin |
10:05-10:40 | Coffee Break |
10:40-11:10 | Helmut Harbrecht |
11:15-11:45 | Yunqing Huang |
11:45-12:00 | Group photo |
12:00-2:00 | Lunch (by invitation) |
2:00-2:30 | Daniele Boffi |
2:35-3:05 | Frederic Legoll |
3:10-3:40 | Robert Scheichl |
3:40-4:15 | Coffee Break |
4:15-4:45 | Lei Zhang |
4:50-5:20 | Zhiwen Zhang |
5:25-5:55 | Wing Tat Leung |
December 05, 2023 (Tuesday)
9:00-9:30 | Axel Klawonn |
9:35-10:05 | Ivan Oseledets |
10:05-10:40 | Coffee Break |
10:40-11:10 | Weizhu Bao |
11:15-11:45 | Daniel Peterseim |
12:00-2:00 | Lunch (by invitation) |
2:00-2:30 | Houman Owhadi |
2:35-3:05 | Alexei Lozinski |
3:10-3:40 | Xiang Zhou |
3:40-4:15 | Coffee Break |
4:15-4:45 | Viet Ha Hoang |
4:50-5:20 | Ekaterina Muravleva |
5:25-5:55 | Yuhe Wang |
December 06, 2023 (Wednesday)
9:00-9:30 | Yang Xiang |
9:35-10:05 | Patrick Henning |
10:05-10:40 | Coffee Break |
10:40-11:10 | Xiao-Chuan Cai |
11:15-11:45 | Jianliang Qian |
12:00-2:00 | Lunch (by invitation) |
2:00-2:30 | Bicheng Yan |
2:35-3:05 | Jian Huang |
3:10-3:40 | Guanglian Li |
3:40-4:15 | Coffee Break |
4:15-4:45 | Qifeng Liao |
4:50-5:20 | Zhiqin Xu |
5:25-5:55 | Timo Sprekeler |
6:30-8:30 | Dinner (by invitation) |
December 04, 2023 (Monday)
8:50-9:00 | Opening remarks |
9:00-9:30 | Bjorn Engquist Towards seamless numerical homogenization |
9:35-10:05 | Shi Jin Quantum algorithms for multiscale partial differential equations |
10:05-10:40 | Coffee Break |
10:40-11:10 | Helmut Harbrecht Samplet based kernel matrix compression |
11:15-11:45 | Yunqing Huang Physics-informed neural networks for approximating the hyperbolic PDEs |
11:45-12:00 | Group photo |
12:00-2:00 | Lunch (by invitation) |
2:00-2:30 | Daniele Boffi On the numerical approximation of parameter dependent PDE eigenvalue problems: data driven models and reduced order methods |
2:35-3:05 | Frederic Legoll Multiscale finite element methods for advection-diffusion problems |
3:10-3:40 | Robert Scheichl Multiscale spectral generalised finite element methods |
3:40-4:15 | Coffee Break |
4:15-4:45 | Lei Zhang Operator learning for multiscale PDEs |
4:50-5:20 | Zhiwen Zhang A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals |
5:25-5:55 | Wing Tat Leung Nonlocal multicontinua model with representative volume elements |
December 05, 2023 (Tuesday)
9:00-9:30 | Axel Klawonn Nonlinear FETI-DP domain decomposition methods combined with deep learning |
9:35-10:05 | Ivan Oseledets Approximation of multivariate functions and operators using tensors, neural networks and neural operators |
10:05-10:40 | Coffee Break |
10:40-11:10 | Weizhu Bao Modeling, analysis and simulation for degenerate dipolar quantum gas |
11:15-11:45 | Daniel Peterseim Superlocalized wave function approximation for the Gross-Pitaevskii equation |
12:00-2:00 | Lunch (by invitation) |
2:00-2:30 | Houman Owhadi Computational hypergraph discovery, a Gaussian process framework for connecting the dots. |
2:35-3:05 | Alexei Lozinski A non-intrusive implementation of MsFEM and some related error estimates |
3:10-3:40 | Xiang Zhou Active learning of transition state on free energy surface |
3:40-4:15 | Coffee Break |
4:15-4:45 | Viet Ha Hoang Numerical homogenization of two scale fractional equations |
4:50-5:20 | Ekaterina Muravleva Microstructure synthesis from incomplete data |
5:25-5:55 | Yuhe Wang To be determined |
December 06, 2023 (Wednesday)
9:00-9:30 | Yang Xiang Deep operator-splitting network (DOSnet) for solving PDEs |
9:35-10:05 | Patrick Henning Finite element and multiscale approximations of superconductors |
10:05-10:40 | Coffee Break |
10:40-11:10 | Xiao-Chuan Cai A multiscale Schwarz preconditioner for simulating blood flows in artery with aneurysm |
11:15-11:45 | Jianliang Qian A fast butterfly-compressed Hadamard-Babich integrator for high-frequency Helmholtz equations in inhomogeneous media |
12:00-2:00 | Lunch (by invitation) |
2:00-2:30 | Bicheng Yan Coarse grid network - An efficient reduced order model for simulating multiphase flow in heterogeneous porous reservoirs |
2:35-3:05 | Jian Huang Characteristic block-centered finite difference methods for Darcy-Forchheimer compressible miscible displacement problem |
3:10-3:40 | Guanglian Li Wavelet-based edge multiscale finite element methods for singularly perturbed convection-diffusion equations |
3:40-4:15 | Coffee Break |
4:15-4:45 | Qifeng Liao A high-dimensional density estimation method and its application for domain decomposed uncertainty quantification |
4:50-5:20 | Zhiqin Xu Simple bias in deep learning |
5:25-5:55 | Timo Sprekeler Homogenization of nondivergence-form PDEs with Cordes coefficients: analysis and numerical methods |
6:30-8:30 | Dinner (by invitation) |
Special Issue
A special issue for this workshop will be published in Journal of Computational and Applied Mathematics. We invite all participants of this workshop to submit a paper. All papers will be refereed.
The deadline of submission is June 30, 2024. Instructions of submission will be announced later.
Accommodation
The following hotels are conveniently located near the CUHK campus:
Hyatt Regency Hong Kong, Sha Tin
Address
18 Chak Cheung Street, Sha Tin, New Territories, Hong Kong
Website
Click here
Directions
Click here
Royal Park Hotel
Regal Riverside Hotel
Address
34-36 Tai Chung Kiu Road, Shatin, Hong Kong
Website
Click here
Alva Hotel
Address
1 Yuen Hong Street, Shatin, Hong Kong
Website
Click here
Maps & Directions
The conference sessions will be held in the Yasumoto International Academic Park (YIA).
Please follow the route as indicated in the map below. It is a 2-5 min walk from the University Station.
You may choose either Exit A, C or D when heading to YIA.
However, please note that only Exit A or B can access to trains going towards Shatin when you are leaving the University.
Please also note that the ticket booth is located at Exit B.
Sponsors
The workshop is generously supported by the following organizations:
Contact Us
For enquiries and further information, please contact:
Prof. Eric Chung
Email
[protected]
Office Phone No
(852) 3943 7972