34 citations · 37 across the 4 of their papers we have counts for
4 papers
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes
Haojie Huang, Gongming Zhou, Xuejun Liu +4
Digital pathological analysis is run as the main examination used for cancer diagnosis. Recently, deep learning-driven feature extraction from pathology images is able to detect ge…
Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering
Changran Hu, Akshara Reddi Methukupalli, Yutong Zhou +2
Mining aligned natural language (NL) and programming language (PL) pairs is a critical task to NL-PL understanding. Existing methods applied specialized hand-crafted features or se…
Federated Unlearning with Knowledge Distillation
Chen Wu, Sencun Zhu, Prasenjit Mitra
Federated Learning (FL) is designed to protect the data privacy of each client during the training process by transmitting only models instead of the original data. However, the tr…
Feed-forward neural network unfolding
Ming-Liang Wong, Andrew Edmonds, Chen Wu
A feed-forward neural network is demonstrated to efficiently unfold the energy distribution of protons and alpha particles passing through passive material. This model-independent…