Workshop on
Optimization in Scientific Computing

June 21-23, 2017 · Hong Kong

Introduction

Optimization is an important technique in scientific computing. In imaging applications, one needs the recovery of enhanced images from noisy signals and the reconstruction of some unknown information from external measurements. In radar applications, one needs the determination of the position of certain targets from the knowledge of reflected wavefields. In these scientific applications, optimization is an essential component in the numerical algorithms for solving these problems. Due to the complexity of realistic applications, traditional optimization techniques are not sufficient to meet the need, and there is much on-going research in the past decade in order to tackle the challenges. While there are many successful approaches in literature addressing some of the difficulties in developing optimization methods for scientific computing, there are still many challenges and open problems.

This international workshop aims to provide a platform for researchers working on optimization and scientific computing to gather and enhance the interaction among them. In particular, the workshop gives a forum for researchers to present their latest achievements and explore new research directions. The workshop is also an opportunity for graduate students and postdoc to learn basic knowledge and overall development in the field.

Organizing Committee

List of Speakers

  • Zhengjian BAI Xiamen University
  • Jianfeng CAI The Hong Kong University of Science and Technology
  • Xiaojun CHEN The Hong Kong Polytechnic University 
  • Eric CHUNG The Chinese University of Hong Kong
  • Patrick CIARLET ENSTA ParisTech
  • Jan HESTHAVEN Ecole Polytechnique Federale de Lausanne
  • Kazufumi ITO North Carolina State University
  • Hui JI National University of Singapore
  • Bangti JIN University College London
  • Simon LABRUNIE University of Lorraine
  • Rongjie LAI Rensselaer Polytechnic Institute
  • Shingyu LEUNG The Hong Kong University of Science and Technology
  • Peijun LI Purdue University
  • Jie LIU National University of Singapore
  • Xiliang LU Wuhan University
  • Jun MA Macquiere University
  • Shiqian MA The Chinese University of Hong Kong
  • Benedetta MORINI University of Florence
  • Ivan OSELEDETS Skoltech, Moscow
  • Xuecheng TAI Hong Kong Baptist University
  • Haijun WU Nanjing University
  • Wotao YIN University of California, Los Angeles
  • Xiaoming YUAN Hong Kong Baptist University
  • Tieyong ZENG Hong Kong Baptist University

Program

The workshop will take place at Lady Shaw Building (LSB). The program schedule is shown below.

You may also download the program book here (pdf, 815kb).

Jun 21, 2017 (Wed)

8:45-9:20 Registration
9:20-9:30 Opening
9:30-10:10 Jan Hesthaven
10:10-10:50 Simon Labrunie
10:50-11:10 Coffee
11:10-11:50 Xiaoming Yuan
11:50-12:30 Rongjie Lai
12:30-2:00 Lunch
2:00-2:40 Kazufumi Ito
2:40-3:20 Peijun Li
3:20-3:40 Coffee
3:40-4:20 Jianfeng Cai
4:20-5:00 Hui Ji

Jun 22, 2017 (Thu)

9:00-9:30 Registration
9:30-10:10 Patrick Ciarlet
10:10-10:50 Benedetta Morini
10:50-11:10 Coffee
11:10-11:50 Bangti Jin
11:50-12:30 Xiliang Lu
12:30-2:00 Lunch
2:00-2:40 Xiaojun Chen
2:40-3:20 Ivan Oseledets
3:20-3:40 Coffee
3:40-4:20 Zhengjian Bai
4:20-5:00 Tieyong Zeng
6:00-8:00 Banquet

Jun 23, 2017 (Fri)

9:00-9:30 Registration
9:30-10:10 Wotao Yin
10:10-10:50 Shingyu Leung
10:50-11:10 Coffee
11:10-11:50 Haijun Wu
11:50-12:30 Jun Ma
12:30-2:00 Lunch
2:00-2:40 Xuecheng Tai
2:40-3:20 Jie Liu
3:20-3:40 Coffee
3:40-4:20 Shiqian Ma
4:20-5:00 Eric Chung

June 21, 2017 (Wednesday)

8:45-9:20 Registration
9:20-9:30 Opening
9:30-10:10 Jan Hesthaven
Advances in reduced order modeling
10:10-10:50 Simon Labrunie
Modelling and simulation of Boltzmann-Poisson plasma equilibria
10:50-11:10 Coffee
11:10-11:50 Xiaoming Yuan
How to implement ADMM to large-scale datasets
11:50-12:30 Rongjie Lai
Nonrigid Point Clouds Registration Using Laplace-Beltrami Eigenmaps
12:30-2:00 Lunch
2:00-2:40 Kazufumi Ito
Constrained optimization method and randomized algorithm for ill-posed problems
2:40-3:20 Peijun Li
Inverse Source Problems for Wave Propagation
3:20-3:40 Coffee
3:40-4:20 Jianfeng Cai
Non-Convex Methods for Low-Rank Matrix Reconstruction
4:20-5:00 Hui Ji
Computational methods for multi-linear problems in computer vision

June 22, 2017 (Thursday)

9:00-9:30 Registration
9:30-10:10 Patrick Ciarlet
Designing Meshes for Problems with Sign-Changing Coefficients
10:10-10:50 Benedetta Morini
Regularizing trust-region methods for ill-posed nonlinear systems
10:50-11:10 Coffee
11:10-11:50 Bangti Jin
Time stepping schemes for fractional diffusion
11:50-12:30 Xiliang Lu
Randomized Kaczmarz Method for Linear Inverse Problems
12:30-2:00 Lunch
2:00-2:40 Xiaojun Chen
Penalty methods for a class of non-Lipschitz optimization problems
2:40-3:20 Ivan Oseledets
Optimization over low-rank matrix and tensor manifolds
3:20-3:40 Coffee
3:40-4:20 Zhengjian Bai
A Riemannian Inexact Newton-CG Method for Nonnegative Inverse Eigenvalue Problems: Nonsymmetric Case
4:20-5:00 Tieyong Zeng
Image Recovery: the Never Ending Story
6:00-8:00 Banquet

June 23, 2017 (Friday)

9:00-9:30 Registration
9:30-10:10 Wotao Yin
Asynchronous Parallel Algorithms for Large Scale Fixed-Point Problems and Optimization
10:10-10:50 Shingyu Leung
A Level Set Based Variational Principal Flow Method for Nonparametric Dimension Reduction on Riemannian Manifolds
10:50-11:10 Coffee
11:10-11:50 Haijun Wu
Polynomial preserving recovery of linear FEM for Helmholtz equation with high wave number
11:50-12:30 Jun Ma
From statistical image processing to survival analysis modelling –applications of constrained optimization
12:30-2:00 Lunch
2:00-2:40 Xuecheng Tai
New region force for variational models in image segmentation and high dimensional data clustering
2:40-3:20 Jie Liu
A second-order changing-connectivity ALE scheme and its application to fluid structure interaction with large convection of fluids and near contact of structures
3:20-3:40 Coffee
3:40-4:20 Shiqian Ma
Geometric descent method for convex composite minimization
4:20-5:00 Eric Chung
Local multiscale model reduction via constraint energy minimization

Maps & Directions

The workshop sessions will be held in the Lady Shaw Building (LSB) in CUHK.

Follow the route indicated by the map below. Move the map around until you see a path connecting Yali Guest House and Lady Shaw Building. Be careful when crossing the road, as cars and shuttle buses often travel along the roads in this path.

Climb uphill along University Avenue until you reach a three-way intersection. Enter the glass doors on your right. Enter the lift at LG2/F of Lady Shaw Building. The lecture theatres are on 1/F. Turn left when you leave the escalator.

Take Shuttle Bus 1A / 1B / H near MTR Exit A - C or Shuttle Bus 3 near MTR Exit D. Get off at the second stop (Sir Run Run Shaw Hall).

(Shuttle Bus Route Information / Shuttle Bus Timetable)

The rooftop garden opposite Sir Run Run Shaw Hall is part of Lady Shaw Building. Go there and go downstairs the reach the Lady Shaw Building. Go to 1/F and turn left to go to LT1.

By taxi:

A taxi seats at most five. The 40-minute ride costs HKD 250 (about USD 30) if traffic is good. You can only take the red-colored taxi (city taxis). Passengers may request a receipt of payment upon arrival. The address of Royal Park Hotel is 8 Pak Hok Ting Street, Shatin.


By bus:

At the Airport Bus Terminus, take Airport Bus A41. Get off at the bus stop in front of the Hotel. It should be the second bus stop after a long tunnel. Note that it is not the terminal stop for the bus, so ask the driver where to get off, or pay attention to the announcement and press the red button on the rail when it is the next stop. The frequency is 20 minutes and the journey takes 45-60 minutes depending on traffic conditions. (Please click here for bus stop information.)

See also Maps & Directions at Math department website for other locations.

Sponsors

The workshop is generously supported by the following organizations:


Faculty of Science,
The Chinese University of Hong Kong


Research Summit Series,
The Chinese University of Hong Kong


Department of Mathematics,
The Chinese University of Hong Kong


The Hong Kong Mathematical Society