About Me

Hi, welcome.

I’m a PhD student at Aalto University, supervised by Prof Arno Solin. Prior to it, I got my MSc in Machine Learning from University College London, and BSc in Physics from Sun Yat-sen University.

I’m interested in probabilistic machine learning, few-shot learning, and Bayesian deep learning in general.

Publications

Conference

Rui Li, Martin Trapp, Marcus Klasson, Arno Solin. “Flatness Improves Backbone Generalisation in Few‐shot Classification.” Under Review

Rui Li, ST John, Arno Solin. “Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models”. ICML (2023).

Arno Solin, Rui Li, Andrea Pilzer. “A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching”. FUSION (2022).

Workshops

Rui Li, ST John, Arno Solin. “Towards Improved Learning in Gaussian Processes: The Best of Two Worlds”. NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems (2022).

Rui Li, Zhengyun You, Yumei Zhang. “Deep Learning for Signal and Background Discrimination in Liquid based Neutrino Experiment”. 18th Workshop on Advanced Computing and Analysis Techniques in Physics Research (2018).

Journals

Chuan Chen, Rui Li, Lin Shu, Zhiyu He, Jining Wang, Chengming Zhang, Huanfei Ma, Kazuyuki Aihara, Luonan Chen. “Predicting future dynamics from short-term time series using an Anticipated Learning Machine”. National Science Review (2020).

Rui Li, Fanghua Ye, Shaoan Xie, Chuan Chen, Zibin Zheng. “Digging into It: Community Detection via Hidden Attributes Analysis”. Neurocomputing (2019).

Contact

Email:
firstname.lastname@aalto.fi