13 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.NE2024
Competition-based Adaptive ReLU for Deep Neural Networks
Junjia Chen, Zhibin Pan
Activation functions introduce nonlinearity into deep neural networks. Most popular activation functions allow positive values to pass through while blocking or suppressing negativ…
cs.NE2023★ 1 cited
Saturated Non-Monotonic Activation Functions
Junjia Chen, Zhibin Pan
Activation functions are essential to deep learning networks. Popular and versatile activation functions are mostly monotonic functions, some non-monotonic activation functions are…
cs.LG2021★ 13 cited
FedDAG: Federated DAG Structure Learning
Erdun Gao, Junjia Chen, Li Shen +3
To date, most directed acyclic graphs (DAGs) structure learning approaches require data to be stored in a central server. However, due to the consideration of privacy protection, d…