This MATH-IMS Joint Colloquium Series is organized by Center for Mathematical Artificial Intelligence (CMAI), under Department of Mathematics and Institute of Mathematical Sciences (IMS) at The Chinese University of Hong Kong. The colloquium series focuses on mathematics and applications of artificial intelligence, big data and related topics.
| Date & Time | Venue | Speaker | Topics | Files |
| 26 April 2024 (Fri) 14:00-15:00 |
Lady Shaw Building 222 | Professor Fabio Augusto Milner (Arizona State University) |
A Model of Phone Dating App Use and Resulting Increase of Sexually Transmitted Infections | Poster |
| Date & Time | Speaker | Topics | Video Link | Files |
| 8 December 2023 (Fri) 16:00-17:00 |
Professor Björn Engquist (The University of Texas at Austin) |
Sampling Strategies for Global Optimization | / | Poster |
| 24 November 2023 (Fri) 10:00-11:00 |
Prof. Xuhua He (The University of Hong Kong) |
Machine learning assisted exploration for affine Deligne-Lusztig varieties | / | Poster |
| 30 June 2023 (Fri) 15:00-16:00 |
Prof. Seung Yeal Ha (Seoul National University) |
Four episodes of Kuramoto oscillators | Link | Poster |
| 5 May 2023 (Fri) 09:00-10:00 |
Prof. Jianliang Qian (Michigan State University) |
A Fast Butterfly-compressed Hadamard-Babich Integrator for High-Frequency Helmholtz Equations in Inhomogeneous Media with Arbitrary Sources | / | Poster |
| 21 April 2023 (Fri) 18:00-19:00 |
Prof. Michael Bronstein (Oxford University) |
Physics-inspired learning on graphs | Link | Poster |
| 10 March 2023 (Fri) 10:00-11:00 |
Prof. Haomin Zhou (Georgia Tech) |
Weak Adversarial Networks (WAN): A Computational Method for Highdimensional PDEs and Inverse Problems | Link | Poster
Slides |
| 24 February 2023 (Fri) 16:00-17:00 (HKT) 9:00-10:00 (Paris time) |
Prof. Huyên Pham (Université Paris Cité) |
Learning mappings on Wasserstein space with applications to mean-field problems | Link | Poster |
| 9 December 2022 (Fri) 16:00-17:00 |
Prof. Gabriele Steidl (Technische Universität Berlin) |
Normalizing Flows for Learning from Few Images | Link | Poster |
| 11 November 2022 (Fri) 16:00-17:00 |
Prof. Simon Arridge (University College London) |
Learned Solvers for Forward and Backward Image Flow Schemes | Link | Poster |
| 28 October 2022 (Fri) 14:00-15:00 |
Dr. Xavier Bresson (Head of Graph Machine Learning at Sea Group) |
Learning to Untangle Genome Assembly with Graph Convolutional Networks | Link | Poster |
| 14 October 2022 (Fri) 15:00-16:00 |
Prof. Yinyu Ye (Stanford University) |
Large-Scale Convex and Nonconvex Optimization in Data Science | Link | Poster
Slides |
| 23 September 2022 (Fri) 10:00-11:00 |
Prof. Houman Owhadi (California Institute of Technology) | Computational Graph Completion | Link | Poster |
| 9 September 2022 (Fri) 10:00-11:00 |
Prof. Yue Lu (Harvard University) |
Understanding the Universality Phenomena in High- Dimensional Estimation and Learning: Some Recent Progresses | Link | Poster |
| 26 August 2022 (Fri) 16:00-17:00 |
Prof. Siddhartha Mishra (ETH Zurich) |
Deep Learning and Computations of PDEs | Link | Poster |
| 8 July 2022 (Fri) 16:00-17:00 |
Professor Carola Bibiane Schönlieb (University of Cambridge) |
Mathematical imaging: From geometric PDEs and variational modelling to deep learning for images | Link | Poster
Slides |
| 20 May 2022 (Fri) 09:00-10:00 |
Professor Guang Lin (Purdue University) |
Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering | Link | Poster
Slides |
| 6 May 2022 (Fri) 16:00-17:00 |
Prof. Yalchin Efendiev (Texas A&M) |
Modeling subgrid effects and temporal splitting in machine learning | Link | Poster |
| 22 April 2022 (Fri) 17:00-18:00 |
Prof. Arnulf Jentzen (The Chinese University of Hong Kong, Shenzhen (China) University of Münster (Germany) ) |
Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning | Link | Poster
Slides |
| 1 April 2022 (Fri) 09:00-10:00 |
Prof. Alfred Hero (University of Michigan) |
Immuno-mimetic Deep Neural Networks | Link | Poster
Slides |
| 18 March 2022 (Fri) 10:00-11:00 |
Prof. Hongkai Zhao (Duke University) |
How much can one learn a PDE from its solution data? | Link | Poster
Slides |
| 11 March 2022 (Fri) 17:00-18:00 |
Prof. Jalal FADILI (ENSI Caen) |
A dynamical system perspective of optimization in data science | Link | Poster
Slides |
| 18 February 2022 (Fri) 16:00-17:00 |
Prof. Geordie Williamson (University of Sydney) |
Combinatorial invariance conjecture and machine learning | / | Poster |
| 4 February 2022 (Fri) 11:00-12:00 |
Prof. Lexing Ying (Stanford University) |
On optimization formulations and algorithms of Markov decision problems | Link | Poster
Slides |
| 21 January 2022 (Fri) 16:00-17:00 |
Prof. Endre Süli (University of Oxford) |
High-dimensional McKean-Vlasov diffusion and the well-posedness of kinetic models of dilute polymers | Link | Poster
Slides |
| 17 December 2021 (Fri) 10:00-11:00 |
Prof. Kening Lu (Brigham Young University) |
Chaotic Behavior of Dynamical Systems Driven by an External Forcing | Link | Poster
Slides |
| 3 December 2021 (Fri) 17:00-18:00 |
Prof. Michael Hintermüller (Humboldt-Universität zu Berlin) |
Quantitative Imaging: Physics integrated and machine learning based models in MRI | Link | Poster
Slides |
| 19 November 2021 (Fri) 10:00-11:00 |
Prof. Beatrice Riviere (Rice University) |
On the numerical solution of two-phase flows in porous media | / | Poster |
| 22 October 2021 (Fri) 10:00-11:00 |
Prof. Xu Jinchao (Pennsylvania State University) |
Analysis of Neural Network III: Neural Network and Numerical PDEs | Link | Poster
Slides |
| 8 October 2021 (Fri) 16:00-17:00 |
Prof. Jose A. Carrillo (University of Oxford) |
Consensus-Based Interacting Particle Systems and Mean-field PDEs for Optimization and Sampling | Link | Poster |
| 24 September 2021 (Fri) 17:30-18:30 |
Prof. Lorenzo Pareschi (Ferrara) |
On the mean field limit of stochastic particle optimization methods | / | Poster
Slides |
| 17 September 2021 (Fri) 15:00-16:00 |
Prof. Denis Talay (INRIA) |
Stochastic analysis of non-linear PDEs: From probability theory to numerical simulations | Link | Poster |
| 3 September 2021 (Fri) 16:00-17:00 |
Prof. Shen Zuowei (NUS) |
Deep Approximation via Deep Learning | Link | Poster |
| 13 August 2021 (Fri) 10:00-11:00 |
Prof. Andrea Bertozzi (UCLA) |
Geometric Graph-Based Methods for High Dimensional Data | Link | Poster |
| 23 July 2021 (Fri) 11:00-12:00 |
Dr. Wotao Yin (Alibaba Group (US) Damo Academy) |
Learning to Optimize | Link | Poster
Slides |
| 2 July 2021 (Fri) 16:00-17:00 |
Prof. Xu Jinchao (Pennsylvania State University) |
Analysis of Neural Network II: Multigrid and Image Classification | Link | Poster
Slides |
| 25 June 2021 (Fri) 16:00-17:00 |
Prof. Xu Jinchao (Pennsylvania State University) |
Analysis of Neural Network I: Finite Element Connection and Approximation | Link | Poster
Slides |
| 4 June 2021 (Fri) 16:00-17:00 |
Prof. Benoit Perthame (Sorbonne-Université) |
Mathematical models of living tissues and the Hele-Shaw limit | Link | Poster |
| 28 May 2021 (Fri) 16:00-17:00 |
Prof. Per Christian Hansen (Technical University of Denmark) |
Convergence and Non-Convergence of Algebraic Iterative Reconstruction Methods | Link | Poster
Slides |
| 14 May 2021 (Fri) 16:00-17:00 |
Prof. Yuan Ya-xiang (Chinese Academy of Sciences) |
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size | Link | Poster |
| 30 April 2021 (Fri) 15:00-16:00 |
Prof. Tony F. Chan (KAUST) |
A Personal and Historical View of Computational Mathematics | Link | Poster
Slides |
| 16 April 2021 (Fri) 16:00-17:00 |
Prof. Jean-Michel Morel (Ecole Normale Supérieure Paris-Saclay) |
Can a neural network learn planar topology? | Link | Poster
Slides |
| 26 March 2021 (Fri) 16:00-17:00 |
Prof. Peter Maass (Bremen) |
Regularization by architecture: Learning with few data and applications to CT | Link | Poster
Slides |
| 19 March 2021 (Fri) 14:00-15:00 |
Prof. Shing-Tung Yau (Harvard and CUHK) |
The Yau-Yau Method for Nonlinear Filtering Problems | Link | Poster Slides |
| 12 March 2021 (Fri) 16:00-17:00 |
Prof. Bangti JIN (University College London) |
Deep Learning and Mathematics | Link |
Poster Slides |
| 5 March 2021 (Fri) 10:00-11:00 |
Prof. Liu Jianguo (Duke) |
Contact line dynamics of droplets with surfactant: variational derivation and computations | Link | Poster |
| 26 Feb 2021 (Fri) 10:00-11:00 |
Prof. Chun Liu (Illinois Institute of Technology) |
Energetic Variational Approaches (EnVarA) for Active Materials and Reactive Fluids | Link | Poster |
| 5 Feb 2021 (Fri) 10:00-11:00 |
Prof. Qiang Du (Columbia) |
Numerical Integrators for Learning Dynamics | Link | Poster |
| 26 Jan 2021 (Tue) 16:00-17:00 |
Prof. Ron Kimmel (Technion) |
On Learning Geometry, Towards a Semi-supervised Axiomatic Approach | Link | Poster Slides |
| 22 Jan 2021 (Fri) 9:30-10:30 |
Prof. Andrew Stuart (Caltech) |
Blending Data And Models: Kalman Based Approaches | Link | Poster Slides |
| 18 Dec 2020 (Fri) 11:00-12:00 |
Prof. Thomas Hou (Caltech) |
Asymptotic escape of saddles and unified global analysis for low-rank matrix recovery | Link | Poster |
| 20 Nov 2020 (Fri) 10:00-11:00 |
Prof. Shi Jin (Shanghai Jiao Tong University) |
Random Batch Methods for classical and quantum N-body problems |
/ | Poster Slides |
| 6 Nov 2020 (Fri) 10:00-11:00 |
Prof. Björn Engquist (U.T. Austin) |
Global convergence of stochastic gradient descent | / | Poster |
| 30 Oct 2020 (Fri) 16:00-17:00 |
Prof. Pierre Degond (Imperial College London) |
Topological protection in collective dynamics | / | Poster |
| 16 Oct 2020 (Fri) 10:00-11:00 |
Prof. Weinan E (Princeton University) |
Machine Learning and Computational Mathematics | Link |
Poster Slides |
| 9 Oct 2020 (Fri) 16:00-17:00 |
Prof. Jan Hesthaven (EPFL) |
Nonintrusive Reduced Order Models using Physics Informed Neural Networks | / | Poster |
| 25 Sep 2020 (Fri) 10:00-11:00 |
Prof. Chi-Wang Shu (Brown University) |
Stability of Time Discretizations for Semi-discrete High Order Schemes for Time-dependent PDEs | / | Poster Slides |
| 11 Sep 2020 (Fri) 09:00-10:00 |
Prof. Jianfeng Lu (Duke University) |
Quantitative Convergence Analysis of Hypocoercive Sampling Dynamics | Link | Poster Slides |
| 28 Aug 2020 (Fri) 15:00-16:00 |
Prof. Zhenjie Ren (Université Paris-Dauphine) |
Training Neural Networks and Mean-field Langevin Dynamics | Link | Poster Slides |
| 14 Aug 2020 (Fri) 15:00-16:00 |
Prof. Jian-Feng Cai (HKUST) |
Landscape Analysis of Non-convex Optimizations in Phase Retrieval | Link | Poster Slides |
| 31 Jul 2020 (Fri) 09:00-10:00 |
Prof. David Xianfeng Gu (Stony Brook University) |
A Geometric Understanding of Generative Models | Link | Poster Slides |