My name is Yuanhe Zhang ('Russell' for short). I'm generally interested in statistical and computational learning theory. Currently, I'm working with Dr. Fanghui LiuLink opens in a new window and Dr. Yudong ChenLink opens in a new window (from Wisconsin-Madison) on reveiling the training dynamics and generalization of LoRA. I hold the Chancellor's International Scholarship.

Previously, I obtained MMathStat @ Warwick with first class. My master thesis is on density estimation in high-dimensional and small data regime with statistical guarantee under the supervision of Dr. Ritabrata DuttaLink opens in a new window. The output was accepted by NeurIPS 2024 (25% acceptance rate over 23000+ submissions).

Publications:

Huk, D., Zhang, Y., Steel, M. and Dutta, R., 2024. Quasi-Bayes meets Vines. arXiv preprint arXiv:2406.12764. (To appear on NeurIPS 2024 soon!)

Services:

Program Chair Associate, Reviewer @ NeurIPS 2024 Workshop on Fine-Tuning in Mordern Machine Learning: Principles and Scalability (FITMLLink opens in a new window).

Teaching:

24/25 Term 2: CS416 OptimisationLink opens in a new window