Ruomin Huang

According to our database, Ruomin Huang authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

To Tackle Adversarial Transferability: A Novel Ensemble Training Method with Fourier Transformation.

Wanlin Zhang, Weichen Lin, Ruomin Huang, Shihong Song, Hu Ding

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Task Descriptors Help Transformers Learn Linear Models In-Context.

Ruomin Huang, Rong Ge

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

An Effective Dynamic Gradient Calibration Method for Continual Learning.

Weichen Lin, Jiaxiang Chen, Ruomin Huang, Hu Ding

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods.

Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Gong, Bhuwan Dhingra

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers.

Hu Ding, Ruomin Huang, Kai Liu, Haikuo Yu, Zixiu Wang

CoRR, 2023

The Impact of the Volume-Based Procurement Policy on Organizational Innovation Investment: Evidence from Chinese A-share Pharmaceutical Firms.

Ruomin Huang, Yukun Feng, Yumin Cao

Proceedings of the Digitalization and Management Innovation II, 2023

2022

Coresets for Wasserstein Distributionally Robust Optimization Problems.

Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coresets for Relational Data and The Applications.

Jiaxiang Chen, Qingyuan Yang, Ruomin Huang, Hu Ding

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Novel Sequential Coreset Method for Gradient Descent Algorithms.

Jiawei Huang, Ruomin Huang, Wenjie Liu, Nikolaos M. Freris, Hu Ding

Proceedings of the 38th International Conference on Machine Learning, 2021