Jan 28, 2025 Our paper titled “Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel” has been accepted to IEEE TNNLS Sep 30, 2024 Selected as the recipient of the IEEE Signal Processing Society Scholarship Sep 10, 2024 My blog post on “Optimize Your Signal Processing with Bayesian Optimization” has been published on IEEE SPS Sep 09, 2024 Invited to serve as a Reviewer for International Conference on Learning Representations (ICLR) 2025 Jul 17, 2024 Selected as the recipient of the 2024 Shenzhen Universiade International Scholarship Foundation (SUISF) Aug 14, 2023 Joined Bayesian Learning for Signal Processing (BLSP) Group of CUHK-Shenzhen as a PhD student May 04, 2022 Our paper titled “Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data” has been accepted to FUSION 2022 Jan 30, 2021 Our paper titled “Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization” has been accepted to ICASSP 2021