Resume
Academic Achievements
- 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.
Miscellany
- Best way to contact: via Gmail.