7 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis
Jun Luo, Dooman Arefan, Margarita Zuley +2
Mammography is used as a standard screening procedure for the potential patients of breast cancer. Over the past decade, it has been shown that deep learning techniques have succee…
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification
Jun Luo, Shandong Wu
Machine learning in medical research, by nature, needs careful attention on obeying the regulations of data privacy, making it difficult to train a machine learning model over gath…
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Jun Luo, Shandong Wu
Conventional federated learning (FL) trains one global model for a federation of clients with decentralized data, reducing the privacy risk of centralized training. However, the di…
An Extensible and Modular Design and Implementation of Monte Carlo Tree Search for the JVM
Larkin Liu, Jun Tao Luo
Flexible implementations of Monte Carlo Tree Search (MCTS), combined with domain specific knowledge and hybridization with other search algorithms, can be powerful for finding the…