Huang, Ruomin

7 publications

ICLR 2025 Task Descriptors Help Transformers Learn Linear Models In-Context Ruomin Huang, Rong Ge

ICLR 2025 To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation Wanlin Zhang, Weichen Lin, Ruomin Huang, Shihong Song, Hu Ding

ICML 2024 An Effective Dynamic Gradient Calibration Method for Continual Learning Weichen Lin, Jiaxiang Chen, Ruomin Huang, Hu Ding

ICMLW 2024 Task Descriptors Help Transformers Learn Linear Models In-Context Ruomin Huang, Rong Ge

NeurIPS 2022 Coresets for Relational Data and the Applications Jiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding

NeurIPS 2022 Coresets for Wasserstein Distributionally Robust Optimization Problems Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding

ICML 2021 A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos Freris, Hu Ding