output
20082025
most citedCascading Failures in Complex Networks

126 citations

92 papers

cs.CR2025★ 1 cited

Panther: A Cost-Effective Privacy-Preserving Framework for GNN Training and Inference Services in Cloud Environments

Congcong Chen, Xinyu Liu, Kaifeng Huang +2

Graph Neural Networks (GNNs) have marked significant impact in traffic state prediction, social recommendation, knowledge-aware question answering and so on. As more and more users…

cs.LO2025

A Unifying Approach to Probabilistic Testing Equivalences

Weijun Chen, Yuxi Fu, Huan Long +1

Probabilistic concurrent systems are foundational models for modern mobile computing. In this paper, a unifying approach to probabilistic testing equivalences is proposed. With the…

cs.CV2025★ 3 cited

LEL: Lipschitz Continuity Constrained Ensemble Learning for Efficient EEG-Based Intra-subject Emotion Recognition

Shengyu Gong, Yueyang Li, Zijian Kang +6

Accurate and efficient recognition of emotional states is critical for human social functioning, and impairments in this ability are associated with significant psychosocial diffic…

cs.CV2025★ 1 cited

Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis

Yueyang Li, Lei Chen, Wenhao Dong +9

Developing interpretable models for neurodevelopmental disorders (NDDs) diagnosis presents significant challenges in effectively encoding, decoding, and integrating multimodal neur…

eess.IV2025★ 7 cited

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis

Wenhao Dong, Yueyang Li, Weiming Zeng +4

Many existing methods that use functional magnetic resonance imaging (fMRI) classify brain disorders, such as autism spectrum disorder (ASD) and attention deficit hyperactivity dis…

eess.SY2024

Neural Operator Feedback for a First-Order PIDE with Spatially-Varying State Delay

Jie Qi, Jiaqi Hu, Jing Zhang +1

A transport PDE with a spatial integral and recirculation with constant delay has been a benchmark for neural operator approximations of PDE backstepping controllers. Introducing a…