output
20162026
most citedClass-Specific Distribution Alignment for Semi-Supervised Medical Image Classification

12 citations

12 papers

cs.LG2026

Energy-Efficient Federated Edge Learning For Small-Scale Datasets in Large IoT Networks

Haihui Xie, Wenkun Wen, Shuwu Chen +2

Large-scale Internet of Things (IoT) networks enable intelligent services such as smart cities and autonomous driving, but often face resource constraints. Collecting heterogeneous…

cs.LG2025★ 11 cited

DistilCLIP-EEG: Enhancing Epileptic Seizure Detection Through Multi-modal Learning and Knowledge Distillation

Zexin Wang, Lin Shi, Haoyu Wu +3

Epilepsy is a prevalent neurological disorder marked by sudden, brief episodes of excessive neuronal activity caused by abnormal electrical discharges, which may lead to some menta…

gr-qc2023★ 1 cited

Stability of the de-Sitter universe: One-loop nonlocal gravity

Haiyuan Feng, Yi Liao, Rong-Jia Yang

With the method of the background field expansion, we investigate the one-loop quantization of the Euclidean nonlocal model in the de-Sitter universe. We obtain the ghost-fr…

cs.CV2023★ 12 cited

Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification

Zhongzheng Huang, Jiawei Wu, Tao Wang +2

Despite the success of deep neural networks in medical image classification, the problem remains challenging as data annotation is time-consuming, and the class distribution is imb…

cs.CV2023★ 8 cited

Semi-Supervised Medical Image Segmentation with Co-Distribution Alignment

Tao Wang, Zhongzheng Huang, Jiawei Wu +2

Medical image segmentation has made significant progress when a large amount of labeled data are available. However, annotating medical image segmentation datasets is expensive due…

eess.SP2023★ 7 cited

Low-Complexity Three-Dimensional AOA-Cross Geometric Center Localization Methods via Multi-UAV network

Baihua Shi, Yifan Li, Guilu Wu +2

Angle of arrival (AOA) is widely used to locate a wireless signal emitter in unmanned aerial vehicle (UAV) localization. Compared with received signal strength (RSS) and time of ar…