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