Presenting a tutorial on 'Integration of Physics-Based and Data-Driven Models for Parameter Estimation with Applications to Image and Speech Signal Processing' with Jie Chen and Ziye Yang at IEEE MLSP 2025.
Paper 'Riemannian Change Point Detection on Manifolds with Robust Centroid Estimation' accepted to EUSIPCO 2025.
Paper 'Riemannian Diffusion Adaptation for Distributed Optimization on Manifolds' accepted to ICML 2025.
Granted the 2023 Chinese government award for outstanding self-financed students abroad (one of 650 globally).
Successfully defended Ph.D. thesis titled 'Joint Modeling and Learning Approaches for Hyperspectral Imaging and Changepoint Detection'.
Talk on 'Non-parametric Online Change Point Detection On Riemannian manifolds' at SLSIP Workshop, Porquerolles, France, May 2024.
Paper 'Non-parametric Online Change Point Detection On Riemannian manifolds' accepted to ICML 2024.
Background
Research Interests: At the intersection of statistical signal processing and machine learning, with special attention to Riemannian optimization, change point detection, and hyperspectral imaging.