Ruichen Xu

Orcid: 0009-0005-1809-1179

According to our database1, Ruichen Xu authored at least 23 papers between 2012 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers.
CoRR, March, 2026

Differential Privacy in Two-Layer Networks: How DP-SGD Harms Fairness and Robustness.
CoRR, March, 2026

Tackling Privacy Heterogeneity in Differentially Private Federated Learning.
CoRR, February, 2026

JSAM: Privacy Straggler-Resilient Joint Client Selection and Incentive Mechanism Design in Differentially Private Federated Learning.
CoRR, February, 2026

Spatiotemporal-Decoupled Training: Enhancing Car-Following Behavior Modeling With Cross-Spatiotemporal Generalization.
IEEE Trans. Intell. Transp. Syst., January, 2026

Generative Chaotic Hybrid Multi-Objective Optimization Approach for Satellite-UAV Cognitive Radio Networks.
IEEE Trans. Netw. Sci. Eng., 2026

2025
Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators.
CoRR, October, 2025

Filtering with Self-Attention and Storing with MLP: One-Layer Transformers Can Provably Acquire and Extract Knowledge.
CoRR, August, 2025

An Iterative Framework for Generative Backmapping of Coarse Grained Proteins.
CoRR, May, 2025

Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power.
Trans. Mach. Learn. Res., 2025

Forging the iron-net: Towards a quantitative understanding of microbial communities via siderophore-mediated interactions.
Quant. Biol., 2025

An Entropy-Driven Evolutionary Game Framework for Quantifying Privacy-Service Tradeoffs.
IEEE Access, 2025

Kolmogorov-Arnold Representation for Symplectic Learning: Advancing Hamiltonian Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2025

Rethinking Benign Overfitting in Two-Layer Neural Networks.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings.
Trans. Mach. Learn. Res., 2024

Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change.
CoRR, 2024

Joint Client Selection and Privacy Compensation for Differentially Private Federated Learning.
Proceedings of the IEEE INFOCOM 2024, 2024

2023
Tackling Privacy Heterogeneity in Federated Learning.
Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

2020
Dual-Source Optimization of the "Diverting Water from the Yangtze River to Tai Lake (DWYRTL)" Project Based on the Euler Method.
Complex., 2020

Investigation on Probabilistic Shaping for Symbol-Level Uplink Non-orthogonal Multiple Access Visible Light Communication Systems.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

2017
Research on the Interference and Coexistence of CBTC in 1.8 GHz Band.
Proceedings of the 5G for Future Wireless Networks - First International Conference, 2017

2012
Keeping track of position and cell residual dwell time of cellular networks using HSMM structure and Cell-ID information.
Proceedings of IEEE International Conference on Communications, 2012


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