19 citations · 27 across the 5 of their papers we have counts for
5 papers
A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks
Daning Cheng, Zeyu Liu, Jun Sun +4
The scaling behavior, in which test performance often improves as model size and data increase, is a central empirical phenomenon in modern deep learning, yet its theoretical basis…
TreeMAN: Tree-enhanced Multimodal Attention Network for ICD Coding
Zichen Liu, Xuyuan Liu, Yanlong Wen +3
ICD coding is designed to assign the disease codes to electronic health records (EHRs) upon discharge, which is crucial for billing and clinical statistics. In an attempt to improv…
The Scalability for Parallel Machine Learning Training Algorithm: Dataset Matters
Daning Cheng, Hanping Zhang, Fen Xia +2
To gain a better performance, many researchers put more computing resource into an application. However, in the AI area, there is still a lack of a successful large-scale machine l…
Population Density-based Hospital Recommendation with Mobile LBS Big Data
Hanqing Chao, Yuan Cao, Junping Zhang +3
The difficulty of getting medical treatment is one of major livelihood issues in China. Since patients lack prior knowledge about the spatial distribution and the capacity of hospi…
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization
Shun Zheng, Jialei Wang, Fen Xia +2
In modern large-scale machine learning applications, the training data are often partitioned and stored on multiple machines. It is customary to employ the "data parallelism" appro…