activity
20102022
most citedA New Approach to Linear/Nonlinear Distributed Fusion Estimation Problem

76 citations · 119 across the 16 of their papers we have counts for

collaborators

16 papers

eess.SY2022

Secure Fusion Estimation Against FDI Sensor Attacks in Cyber-Physical Systems

Bo Chen, Pindi Weng, Daniel W. C. Ho +1

This paper is concerned with the problem of secure multi-sensors fusion estimation for cyber-physical systems, where sensor measurements may be tampered with by false data injectio…

eess.SY2022

Distributed Estimation for Interconnected Systems with Arbitrary Coupling Structures

Yuchen Zhang, Bo Chen, Li Yu +1

This paper is concerned with the problem of distributed estimation for time-varying interconnected dynamic systems with arbitrary coupling structures. To guarantee the robustness o…

eess.SY2021★ 4 cited

Polynomial-Time Algorithms for Structurally Observable Graphs by Controlling Minimal Vertices

Shiyong Zhu, Jianquan Lu, Daniel W. C. Ho +1

The aim of this paper is to characterize an important class of marked digraphs, called structurally observable graphs (SOGs), and to solve two minimum realization problems. To begi…

math.OC2021

Distributed Constrained Optimization with Delayed Subgradient Information over Time-Varying Network under Adaptive Quantization

Jie Liu, Zhan Yu, Daniel W. C. Ho

In this paper, we consider a distributed constrained optimization problem with delayed subgradient information over the time-varying communication network, where each agent can onl…

cs.LG2021★ 12 cited

Robust Kernel-based Distribution Regression

Zhan Yu, Daniel W. C. Ho, Ding-Xuan Zhou

Regularization schemes for regression have been widely studied in learning theory and inverse problems. In this paper, we study distribution regression (DR) which involves two stag…

cs.LG2020★ 1 cited

Estimates on Learning Rates for Multi-Penalty Distribution Regression

Zhan Yu, Daniel W. C. Ho

This paper is concerned with functional learning by utilizing two-stage sampled distribution regression. We study a multi-penalty regularization algorithm for distribution regressi…