news
Jan 28, 2025 | Our paper titled “Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel” has been accepted to IEEE TNNLS |
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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 ICLR 2025 |
Jul 17, 2024 | Selected as the recipient of the Shenzhen Universiade International Scholarship Foundation Program |
Aug 14, 2023 | Joined Bayesian Learning for Signal Processing Group as 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 |