373 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shenzhen UniversityCN13 papers
- Chinese University of Hong Kong, ShenzhenCN11 papers
- Southern University of Science and TechnologyCN3 papers
- Chinese Academy of SciencesCN2 papers
- Chinese University of Hong KongHK2 papers
- City University of Hong KongHK2 papers
- Guangdong Institute of Intelligent ManufacturingCN2 papers
- Harbin Institute of TechnologyCN2 papers
- Peng Cheng LaboratoryCN2 papers
- Singapore University of Technology and DesignSG2 papers
- University of EdinburghGB2 papers
- University of Hong KongHK2 papers
4 papers · 1 filter
Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
Qinglin Li, Bin Li, Jonathan M Garibaldi +1
In supervised deep learning, learning good representations for remote--sensing images (RSI) relies on manual annotations. However, in the area of remote sensing, it is hard to obta…
Federated Few-Shot Learning with Adversarial Learning
Chenyou Fan, Jianwei Huang
We are interested in developing a unified machine learning model over many mobile devices for practical learning tasks, where each device only has very few training data. This is a…
Cost-Effective Federated Learning Design
Bing Luo, Xiang Li, Shiqiang Wang +2
Federated learning (FL) is a distributed learning paradigm that enables a large number of devices to collaboratively learn a model without sharing their raw data. Despite its pract…
Federated Generative Adversarial Learning
Chenyou Fan, Ping Liu
This work studies training generative adversarial networks under the federated learning setting. Generative adversarial networks (GANs) have achieved advancement in various real-wo…