3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning
Chunhui Zhang, Chao Huang, Yijun Tian +5
Even pruned by the state-of-the-art network compression methods, Graph Neural Networks (GNNs) training upon non-Euclidean graph data often encounters relatively higher time costs,…
cs.LG2022★ 1 cited
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang +3
Neural networks often encounter various stringent resource constraints while deploying on edge devices. To tackle these problems with less human efforts, automated machine learning…
cs.LG2020★ 1 cited
FDNAS: Improving Data Privacy and Model Diversity in AutoML
Chunhui Zhang, Yongyuan Liang, Xiaoming Yuan +1
To prevent the leakage of private information while enabling automated machine intelligence, there is an emerging trend to integrate federated learning and Neural Architecture Sear…