Academic Committee: Yaxiang Yuan, Zhiming Chen, Ping Zhang
Organizing Comittee:Weiying Zheng,Pingbing Ming,Xin Liu,Tao Zhou,Tao Cui, Ying Liu
11:00-12:00 September 8(Monday), N202
Dr. Yifei Li, Department of Mathematics, University of Tuebingen
Convergence of finite elements for the Eyles-King-Styles model of tumour growth10:00-11:00 September 8(Monday), N202
Dr. Chupeng Ma, Great Bay University
A generalized finite element method based on locally optimal spectral approximations for multiscale PDEs10:00-11:00 September 4(Thursday), N202
Dr. Yifei Li, Department of Mathematics, University of Tuebingen
A structure-preserving parametric finite element method of anisotropic geometric flows9:30-10:30 July 11(Friday), N202
Dr. Jiashun Hu, The Hong Kong Polytechnic University
Arbitrary Lagrangian–Eulerian Method for PDEs on Moving Domains15:30-17:30 June 19 (Wednesday) 2024, N733
Dr. Jianyuan Yin, National University of Singapore
Construction of Solution Landscape on a Complicated Energy Landscape10:00-11:00 June 17 (Monday) 2024, N219
Dr. Jianyuan Yin, National University of Singapore
Solution Landscape: Algorithms and Applications9:00-11:00 July 6 (Thursday) 2023, N204
Dr. Weijie Su, University of Pennsylvania
Toward Understanding Deep Learning Through the Lens of Optimization15:00-17:00 June 5 (Monday) 2023, N202
Dr. Zhenning Cai, National University of Singapore
On the Complex Langevin Method15:00-17:00 June 1 (Thursday) 2023, N202
Dr. Zhenning Cai, National University of Singapore
Diagrammatic Monte Carlo Methods for Open Quantum Systems15:00-17:00 May 31 (Wednesday) 2023, N202
Dr. Zhenning Cai, National University of Singapore
Applications of Gaussian Beams in the Surface Hopping Method and Open Quantum Systems15:00-17:00 May 4 (Thursday) 2023, Tencent Meeting: 162-625-468
Dr. Yucen Han, Department of Mathematics and Statistics, University of Strathclyde, UK
Solution Landscapes of Nematic Liquid Crystal Systems9:00-11:00 April 4 (Tuesday) 2023, Tencent Meeting: 509-892-294
Dr. Jinpeng Liu, Simons Institute, UC Berkeley
Towards Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Large-scale Machine Learning Models