Jun 2025 Contributed talk/poster at Bayes Comp 2025
Ensemble filtering in nonlinear dynamical systems

Jun 2025 Contributed talk at Bayesian Methods for Distributional and Semiparametric Regression, Bayes Comp 2025
Towards Flexibility and Learning Efficiency of Gaussian Process State-Space Models

25 Mar 2025 Gave a talk at Huawei (Shanghai)
Towards Flexibility and Learning Efficiency of Gaussian Process State-Space Models

09 Sep 2024 Gave a talk at the Department of Statistics & Data Science, NUS
Introduction to Gaussian Process State-Space Models

18 Jul 2024 Contributed talk at International Conference on Scientific Computation and Differential Equations (SciCADE)
Ensemble Kalman Filtering Meets Gaussian Process State-Space Models

13 Jun 2024 PhD Defense, CUHK-Shenzhen
Towards Flexibility, Efficiency, and Multi-Dimensional Dependency of Gaussian Process State-Space Models

19 Apr 2024 Contributed talk at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models

15 Dec 2023 Contributed talk at the Doctoral Research Conference, SSE, CUHK-Shenzhen First Prize Award
Towards Flexibility and Interpretability of Gaussian Process State-Space Models