2 citations · 2 across the 6 of their papers we have counts for
6 papers
Regularized maximum correntropy machine
Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing +1
In this paper we investigate the usage of regularized correntropy framework for learning of classifiers from noisy labels. The class label predictors learned by minimizing transiti…
Multi-view learning for multivariate performance measures optimization
Jim Jing-Yan Wang
In this paper, we propose the problem of optimizing multivariate performance measures from multi-view data, and an effective method to solve it. This problem has two features: the…
Learning manifold to regularize nonnegative matrix factorization
Jim Jing-Yan Wang, Xin Gao
Inthischapterwediscusshowtolearnanoptimalmanifoldpresentationto regularize nonegative matrix factorization (NMF) for data representation problems. NMF,whichtriestorepresentanonnega…
Maximum mutual information regularized classification
Jim Jing-Yan Wang, Yi Wang, Shiguang Zhao +1
In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and th…
Domain Transfer Structured Output Learning
Jim Jing-Yan Wang
In this paper, we propose the problem of domain transfer structured output learn- ing and the first solution to solve it. The problem is defined on two different data domains shari…
An Efficient Topology-Based Algorithm for Transient Analysis of Power Grid
Jim Jing-Yan Wang, Lan Yang, Jingbin Wang +1
In the design flow of integrated circuits, chip-level verification is an important step that sanity checks the performance is as expected. Power grid verification is one of the mos…