news
May 09, 2025
📚 Our latest work on grid spectral mixture product (GSMP) kernel has been featured in the “Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models” book!
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 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!