Dr. Yu Li (University of Toronto)
[LINK]
By Categories
Numerical Analysis Seminar – An unified regularization framework for non-line-of-sight imaging
Professor Zuoqiang Shi (Tsinghua University)
[LINK]
Geometry Seminar – Green-Griffiths-Lang conjecture for algebraic varieties with big fundamental groups
Professor Ya DENG (Centre national de la recherche scientifique (CNRS) and Institut ´Elie Cartan de Lorraine (IECL)/ Mathematics Research Institute, France)
[LINK]
Geometry Seminar – The role of diminutive K-types in the representation theory of real and p-adic reductive groups
Professor Dan Barbasch (Cornell University)
[LINK]
Colloquium – Distributed Hypothesis Testing Over AWGN Channels
Professor Shao-Lun Huang (Tsinghua-Berkeley Shenzhen Institute)
[LINK]
HKU Number Theory Days 2023 on June 26-30, 2023
Number Theory Seminar – Hasse principle for function fields of p-adic curves
Professor Parimala Raman (Emory University)
[LINK]
Number Theory Seminar – Pencils of quadrics and Brauer groups of hyperelliptic curves
Professor Parimala Raman (Emory University)
[LINK]
Number Theory Seminar – Quadratic forms and field invariants
Professor Parimala Raman (Emory University)
[LINK]
Numerical Analysis Seminar – From ODE Solvers to Accelerated Optimization Methods
Professor Long Chen (University of California, Irvine)
[LINK]
Geometry Seminar – Topological Lie bialgebra structures and their classification over g[[x]]
Professor Alexander Stolin (Chalmers University of Technology and University of Göteborg)
[LINK]
Kähler-Einstein metric, K-stability and moduli spaces
Professor Chenyang Xu (Department of Mathematics, Princeton University)
[LINK]
Analysis and PDE Seminar – Optimal boundary control for the Cahn Hilliard Navier Stokes Equations
Dr. Tania Biswas (Department of Mathematical Sciences, Ulsan National Institute of Science and Technology)
[LINK]
Numerical Analysis Seminar – DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
Dr. Kejun Tang (Changsha Institute for Computing and Digital Economy, Peking University)
[LINK]
Number Theory seminar – Classification of irreducible unitary representations of Spin(2n,C)
Dr. Hongfeng Zhang (CUHK Shenzhen)
[LINK]
Numerical Analysis Seminar – Quantify the data uncertainty in inverse parabolic source problems
Professor Wenlong Zhang (Southern University of Science and Technology, China)
[LINK]
Numerical Analysis Seminar – Regularized Reduced Order Models (Reg-ROMs) for Turbulent Flows
Professor Traian Iliescu (Department of Mathematics, Virginia Tech, USA)
[LINK]
Numerical Analysis Seminar – Deterministic-Statistical Approach for Inverse Problems with Partial Data
Professor Jiguang Sun (Michigan Technological University)
[LINK]
Number Theory Seminar – The Grothendieck-Serre conjecture for constant reductive group schemes
Dr. Fei LIU (Southern University of Science and Technology)
[LINK]
Analysis and PDE Seminar – Mixing in orientation for active suspensions
Professor David Gerard-Varet (Université Paris Cité & IMJ-PRG)
[LINK]
Numerical Analysis Seminar – Towards Trustworthy Scientific Machine Learning: Theory, Algorithms, and Applications
Professor Yeonjong Shin (Korea Advanced Institute of Science & Technology)
[LINK]
Numerical Analysis Seminar – Stochastic fractional diffusion equations with Gaussian noise rough in space
Professor Jian Song (Shandong University)
[LINK]
Numerical Analysis Seminar – Numerical homogenization of Hamilton-Jacobi-Bellman equations
Dr. Timo Sprekeler (National University of Singapore)
[LINK]
Analysis and PDE Seminar – Mean Field Games, their FBSDEs and Master Equations
Professor Phillip Yam (Department of Statistics, The Chinese University of Hong Kong)
[LINK]
Numerical Analysis Seminar – Continuous-in-time Limit for Bayesian Bandits
Professor Yuhua ZHU (University of California, San Diego, USA)
[LINK]
Analysis and PDE Seminar – Large time behavior for 2D and 3D Navier-Stokes with Navier boundary conditions
Professor Jim Kelliher (Department of Mathematics, University of California Riverside)
[LINK]
Optimization and Machine Learning Seminar – Learning Theory of Stochastic Gradient Methods
Dr. Yunwen Lei (Hong Kong Baptist University)
[LINK]
Numerical Analysis Seminar – Coupling active sampling and learning with Neural Galerkin schemes for high-dimensional evolution equations
Professor Benjamin Peherstorfer (Courant Institute of Mathematical Sciences, New York University)
[LINK]
Numerical Analysis Seminar – (Localized) Model Reduction and Learning for PDE Constrained Optimization
Professor Mario Ohlberger (University of Münster, Germany)
[LINK]
Analysis and PDE Seminar – Singularities in the Keller-Segel system
Professor Van Tien Nguyen (Department of Mathematics, National Taiwan University)
[LINK]