output
20172025
most citedTodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification

110 citations

20 papers

eess.SY2025★ 1 cited

From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones

Yongchuan Yang, Naiyu Wang, Zhenguo Wang +2

Power outages caused by tropical cyclones (TCs) pose serious risks to electric power systems and the communities they serve. Accurate, high-resolution outage forecasting is essenti…

cs.CR2025★ 2 cited

VeriFuzzy: A Dynamic Verifiable Fuzzy Search Service for Encrypted Cloud Data

Jie Zhang, Xiaohong Li, Man Zheng +4

Enabling search over encrypted cloud data is essential for privacy-preserving data outsourcing. While searchable encryption has evolved to support individual requirements like fuzz…

cs.RO2025★ 7 cited

Anti-Degeneracy Scheme for Lidar SLAM based on Particle Filter in Geometry Feature-Less Environments

Yanbin Li, Wei Zhang, Zhiguo Zhang +5

Simultaneous localization and mapping (SLAM) based on particle filtering has been extensively employed in indoor scenarios due to its high efficiency. However, in geometry feature-…

eess.SY2024★ 26 cited

Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling

Yang Li, Jiankai Gao, Yuanzheng Li +4

To coordinate the interests of operator and users in a microgrid under complex and changeable operating conditions, this paper proposes a microgrid scheduling model considering the…

cs.CV2024★ 1 cited

Coral Model Generation from Single Images for Virtual Reality Applications

Jie Fu, Shun Fu, Mick Grierson

With the rapid development of VR technology, the demand for high-quality 3D models is increasing. Traditional methods struggle with efficiency and quality in large-scale customizat…

cs.IR2024

Blockchain-based Federated Recommendation with Incentive Mechanism

Jianhai Chen, Yanlin Wu, Dazhong Rong +5

Nowadays, federated recommendation technology is rapidly evolving to help multiple organisations share data and train models while meeting user privacy, data security and governmen…