2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 2 cited
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training
Junxiang Wang, Zheng Chai, Yue Cheng +1
Alternating minimization methods have recently been proposed as alternatives to the gradient descent for deep neural network optimization. Alternating minimization methods can typi…
cs.SI2020
Multi-instance Domain Adaptation for Vaccine Adverse Event Detection
Junxiang Wang, Liang Zhao
Detection of vaccine adverse events is crucial to the discovery and improvement of problematic vaccines. To achieve it, traditionally formal reporting systems like VAERS support ac…
math.OC2019
The Application of Multi-block ADMM on Isotonic Regression Problems
Junxiang Wang, Liang Zhao
The multi-block ADMM has received much attention from optimization researchers due to its excellent scalability. In this paper, the multi-block ADMM is applied to solve two large-s…