2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Geographical Information Alignment Boosts Traffic Analysis via Transpose Cross-attention
Xiangyu Jiang, Xiwen Chen, Hao Wang +1
Traffic accident prediction is crucial for enhancing road safety and mitigating congestion, and recent Graph Neural Networks (GNNs) have shown promise in modeling the inherent grap…
Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification
Hao Wang, Wenhui Zhu, Xuanzhao Dong +9
In this work, we propose Many-MobileNet, an efficient model fusion strategy for retinal disease classification using lightweight CNN architecture. Our method addresses key challeng…
Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
Xiwen Chen, Sayed Pedram Haeri Boroujeni, Xin Shu +2
Despite recent progress in reducing road fatalities, the persistently high rate of traffic-related deaths highlights the necessity for improved safety interventions. Leveraging lar…
Imaging Signal Recovery Using Neural Network Priors Under Uncertain Forward Model Parameters
Xiwen Chen, Wenhui Zhu, Peijie Qiu +1
Inverse imaging problems (IIPs) arise in various applications, with the main objective of reconstructing an image from its compressed measurements. This problem is often ill-posed…