Publications

Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers
Ruichen Xu, Wenjing Yan, Ying-Jun Angela Zhang

Filtering with Self-Attention and Storing with MLP: One-Layer Transformers Can Provably Acquire and Extract Knowledge
Ruichen Xu, Kexin Chen

Rethinking Benign Overfitting in Two-Layer Neural Networks
Ruichen Xu, Kexin Chen
International Conference on Machine Learning, 2025.

Differential Privacy in Two-Layer Networks: How DP-SGD Harms Fairness and Robustness
Ruichen Xu, Kexin Chen

JSAM: Privacy Straggler-Resilient Joint Client Selection and Incentive Mechanism Design in Differentially Private Federated Learning
Ruichen Xu, Ying-Jun Angela Zhang, and Jianwei Huang
IEEE INFOCOM Workshops, 2024. (Journal version under revision)

Tackling Privacy Heterogeneity in Differentially Private Federated Learning
Ruichen Xu, Ying-Jun Angela Zhang, and Jianwei Huang
International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2023. (Journal version under revision)