Ruixuan Zhao

Orcid: 0009-0002-7945-113X

According to our database1, Ruixuan Zhao authored at least 14 papers between 2010 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Distributed State Estimation for Discrete-Time Systems With Unknown Inputs: An Optimization Approach.
CoRR, April, 2026

End-to-End Differentiable Predictive Control with Guaranteed Constraint Satisfaction and feasibility for Building Demand Response.
CoRR, March, 2026

Distributed State Estimation for Discrete-time LTI Systems: the Design Trilemma and a Novel Framework.
CoRR, March, 2026

Distributed Unknown Input Observer Design: A Geometric Approach.
CoRR, March, 2026

2025
Distributed Unknown Input Observer Design with Relaxed Conditions: Theory and Application to Vehicle Platooning.
Proceedings of the 2025 European Control Conference, 2025

A Multi-hop Sensor Network-based State Estimation for Discrete-time Linear Systems with Dynamic Communication Graphs.
Proceedings of the 2025 European Control Conference, 2025

A robust learning-based KKL observer for nonlinear systems.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Bridging Centralized and Distributed Frameworks in Unknown Input Observer Design.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
REHG: A Recommender Engine Based on Heterogeneous Graph.
Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

State Estimation Using a Network of Observers for a Class of Nonlinear Systems with Communication Delay.
Proceedings of the European Control Conference, 2024

Neural ODE-Guided Imputation Computing for Building IoT Time Series with High Missing Gaps.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2022
Learning linear non-Gaussian directed acyclic graph with diverging number of nodes.
J. Mach. Learn. Res., 2022

2020
Towards Co-Evolution of Random-Walk-Based Embedding and Label Propagation for Node Classification.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2010
A More Efficient Closest String Problem.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010


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