1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Model-Free Neural Filtering: A Comparison with Classical Filters in Nonlinear Systems
Zhuochen Liu, Hans Walker, Rahul Jain
Neural network models are increasingly used for state estimation in control and decision-making, yet it remains unclear to what extent they behave as principled filters in nonlinea…
cs.DC2025
A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks
Zhuocheng Liu, Zhishu Shen, Qiushi Zheng +3
Low Earth Orbit (LEO) satellites are emerging as key components of 6G networks, with many already deployed to support large-scale Earth observation and sensing related tasks. Feder…
cs.DC2025★ 1 cited
FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks
Zhuocheng Liu, Zhishu Shen, Pan Zhou +2
With the proliferation of data-driven services, the volume of data that needs to be processed by satellite networks has significantly increased. Federated learning (FL) is well-sui…