78 citations · 117 across the 16 of their papers we have counts for
8 papers
Limit distribution of partial transposition of block random matrices
Zhi Yin, Liang Zhao
It is well known that, under some assumptions, the limit distribution of random block matrices and their partial transposition converges to the distributions of random variables in…
Normalized solutions for nonlinear Schrödinger equations on graphs
Yunyan Yang, Liang Zhao
We are concerned with the nonlinear Schrödinger equation with an mass constraint on both finite and locally finite graphs and prove that the equation has a normalized solutio…
Knowledge-enhanced Neural Machine Reasoning: A Review
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang +5
Knowledge-enhanced neural machine reasoning has garnered significant attention as a cutting-edge yet challenging research area with numerous practical applications. Over the past f…
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Taha ValizadehAslani, Yiwen Shi, Jing Wang +5
Classification on long-tailed distributed data is a challenging problem, which suffers from serious class-imbalance and hence poor performance on tail classes with only a few sampl…
Blockchain-based Medical Image Sharing and Automated Critical-results Notification: A Novel Framework
Jiyoun Randolph, Md Jobair Hossain Faruk, Hossain Shahriar +4
In teleradiology, medical images are transmitted to offsite radiologists for interpretation and the dictation report is sent back to the original site to aid timely diagnosis and p…
Saliency-Regularized Deep Multi-Task Learning
Guangji Bai, Liang Zhao
Multitask learning is a framework that enforces multiple learning tasks to share knowledge to improve their generalization abilities. While shallow multitask learning can learn tas…