78 citations · 143 across the 14 of their papers we have counts for
4 papers · 1 filter
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis
Chenfeng Zhao, Zehao Dong, Yixin Chen +2
With the ever-growing popularity of Graph Neural Networks (GNNs), efficient GNN inference is gaining tremendous attention. Field-Programming Gate Arrays (FPGAs) are a promising exe…
A new method of modeling the multi-stage decision-making process of CRT using machine learning with uncertainty quantification
Kristoffer Larsen, Chen Zhao, Joyce Keyak +7
Aims. The purpose of this study is to create a multi-stage machine learning model to predict cardiac resynchronization therapy (CRT) response for heart failure (HF) patients. This…
DCE: Offline Reinforcement Learning With Double Conservative Estimates
Chen Zhao, Kai Xing Huang, Chun yuan
Offline Reinforcement Learning has attracted much interest in solving the application challenge for traditional reinforcement learning. Offline reinforcement learning uses previous…
Rank-Based Multi-task Learning for Fair Regression
Chen Zhao, Feng Chen
In this work, we develop a novel fairness learning approach for multi-task regression models based on a biased training dataset, using a popular rank-based non-parametric independe…