464 citations · 3k across the 68 of their papers we have counts for
6 papers · 1 filter
Word Graph Guided Summarization for Radiology Findings
Jinpeng Hu, Jianling Li, Zhihong Chen +4
Radiology reports play a critical role in communicating medical findings to physicians. In each report, the impression section summarizes essential radiology findings. In clinical…
Federated Semi-Supervised Learning with Class Distribution Mismatch
Zhiguo Wang, Xintong Wang, Ruoyu Sun +1
Many existing federated learning (FL) algorithms are designed for supervised learning tasks, assuming that the local data owned by the clients are well labeled. However, in many pr…
An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization
Lunchen Xie, Jiaqi Liu, Songtao Lu +2
XGBoost is one of the most widely used machine learning models in the industry due to its superior learning accuracy and efficiency. Targeting at data isolation issues in the big d…
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
Haoran Sun, Wenqiang Pu, Xiao Fu +2
There has been a growing interest in developing data-driven, and in particular deep neural network (DNN) based methods for modern communication tasks. For a few popular tasks such…
Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis
Wenwen Min, Taosheng Xu, Xiang Wan +1
Non-negative matrix factorization (NMF) is a powerful tool for dimensionality reduction and clustering. Unfortunately, the interpretation of the clustering results from NMF is diff…
Decentralized Non-Convex Learning with Linearly Coupled Constraints
Jiawei Zhang, Songyang Ge, Tsung-Hui Chang +1
Motivated by the need for decentralized learning, this paper aims at designing a distributed algorithm for solving nonconvex problems with general linear constraints over a multi-a…