7.9k citations
- University of AberdeenGB11 papers
- Northwestern Polytechnical UniversityCN8 papers
- Xi'an Jiaotong UniversityCN7 papers
- Xi’an UniversityCN6 papers
- Xidian UniversityCN6 papers
- Universidade Estadual de Ponta GrossaBR5 papers
- Xi'an Technological UniversityCN5 papers
- Xi'an University of Science and TechnologyCN5 papers
- Chinese Academy of SciencesCN4 papers
- National Institute for Materials ScienceJP4 papers
- State Key Laboratory of Solidification Processing4 papers
- Tohoku UniversityJP4 papers
95 papers
Hierarchical Graph Neural Network for Probabilistic Power Flow with Grid Topology Contingencies
Jinbao Wang, Jun Liu, Shiliang Zhang +4
Data-driven surrogates reduce the nonlinear solves required for probabilistic power flow (PPF), but models tied to a fixed bus--branch graph often generalize poorly when outages ch…
Dielectric, magnetic, and magnetodielectric behaviors of BaFe12O19 hexaferrite modulated by Mn and Ti substitutions
Xiao-Fan Zhang, Yang Yang, Ze-Qing Guo +4
We prepared Mn- and Ti mono-doped and co-doped BaFe12O19 hexaferrites via solid-state reaction to investigate the interplay between magnetic and dielectric properties. Mn2+ ions pr…
Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection
Jiahao Lyu, Minghua Zhao, Xuewen Huang +5
As a crucial element of public security, video anomaly detection (VAD) aims to measure deviations from normal patterns for various events in real-time surveillance systems. However…
Adaptive Robust Control for Uncertain Systems with Ellipsoid-Set Learning
Xuehui Ma, Shiliang Zhang, Zhiyong Sun +2
Despite the celebrated success of stochastic control approaches for uncertain systems, such approaches are limited in the ability to handle non-Gaussian uncertainties. This work pr…
Ultra-high performance microwave spectral filters using optical microcombs
David J. Moss
Microwave photonic (MWP) filters are essential components in microwave systems due to their wide bandwidth, low loss, and immunity to electromagnetic interference. A sharp transiti…
Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning
Jinbao Wang, Shiliang Zhang, Jun Liu +2
Data-enabled predictive control (DeePC) leverages system measurements in characterizing system dynamics for optimal control. The performance of DeePC relies on optimizing its hyper…