News
Talks, papers, awards, and other updates
Gave a talk at the One World Seminar on Mathematics of Machine Learning on “Kernel Autoresearch for Open-Ended Model Discovery” (slides, recording)
Recognized as a top reviewer for NeurIPS 2026!
Joined the AIXI Labs community to research algorithmic information theory (AIT), universal algorithmic intelligence, and artificial superintelligence (ASI).
Invited to serve as a reviewer for ICASSP 2027
Gave a talk at the Qwen3.8 Show and Tell event about Sift, a private local AI copilot for searching, understanding, and organizing your files
Invited to serve as a reviewer for ICLR 2027
Joined Qwen as a dev ambassador
Co-organized AIDDA 2026, a two-day virtual technical conference focusing on AI-driven algorithm discovery. Recordings of the talks are available on our YouTube channel
Our paper titled “MIMOMamba: From Scalar Duality to Matrix-Valued Attention” has been accepted to ICML 2026
Successfully passed my PhD candidate exam
Joined ByteDance’s Creation & Music Recommendation Team as a Research Intern to work on generative recommendation, LLM4Rec, and AIGC-powered content discovery
Invited to serve as a reviewer for NeurIPS 2026
Our paper titled “Breaking the Curse of Dimensionality in Gaussian Process Training With Zeroth-Order Adaptive Perturbation” has been accepted to ICASSP 2026 as oral
Transferred to the School of Artificial Intelligence, CUHK-Shenzhen with a fully-funded PhD scholarship
Selected as the recipient of the Guangdong Government Outstanding International Student Scholarship
Gave a talk on “Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs” at the 2025 Greater Bay Area Graduate Research Forum in Shenzhen, China
Invited to serve as a reviewer for ICASSP 2026
Invited to serve as a reviewer for ICLR 2026
Our paper titled “Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs” has been accepted to NeurIPS 2025
Joined Dria as a Research Intern to work on evolutionary coding agents
Won the 2nd prize award at the 2025 Doctoral Research and AI Innovation Conference held by CUHK-Shenzhen
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
Joined Huawei as a Research Intern to work on 5G network optimization
Our paper titled “Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel” has been accepted to IEEE TNNLS
Selected as the recipient of the IEEE Signal Processing Society Scholarship
My blog post on “Optimize Your Signal Processing with Bayesian Optimization” has been published on IEEE SPS
Invited to serve as a reviewer for ICLR 2025
Received research funding from the Shenzhen Universiade International Scholarship Foundation
Joined Bayesian Learning for Signal Processing Group as a PhD student
Our paper titled “Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data” has been accepted to FUSION 2022
Our paper titled “Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization” has been accepted to ICASSP 2021