He is Ruomin Huang (黄若民 in Chinese and he usually goes by Focke).
He’s currently a graduate student in the School of Data Science at USTC, DIAG Group, supervised by Prof. Hu Ding. (2020 ~ Present)
He received his bachelor’s degree in Information and Computational Science from the School of Mathematical Science, USTC. (2016 ~ 2020)
He is interested in Machine Learning (ML), especially the following topics. Recently, he is interested in the Edge of Stability (EoS) phenomenon in deep learning (DL).
He is pursuing the following:
Theory foundations of DL;
Efficient and Robust algorithms in ML.
* denotes equal contribution.
Hu Ding, Ruomin Huang, Kai Liu, Haikuo Yu, Zixiu Wang, Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers, submitted for publication.
Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding, Coresets for Wasserstein Distributionally Robust Optimization Problems, NeurIPS 2022 (spotlight).
Jiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding, Coresets for Relational Data and The Applications, NeurIPS 2022 (spotlight).
Jiawei Huang*, Ruomin Huang*, Wenjie Liu*, Nikolaos M. Freris, Hu Ding, A Novel Sequential Coreset Method for Gradient Descent Algorithms, ICML 2021.
He is open to discussions.