1.2k citations · 1.9k across the 34 of their papers we have counts for
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Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang, Xuechen Zhang, Yapeng Tian +2
Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions…
SEA: A Combined Model for Heat Demand Prediction
Jiyang Xie, Jiaxin Guo, Zhanyu Ma +4
Heat demand prediction is a prominent research topic in the area of intelligent energy networks. It has been well recognized that periodicity is one of the important characteristic…
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang +4
A Bayesian approach termed BAyesian Least Squares Optimization with Nonnegative L1-norm constraint (BALSON) is proposed. The error distribution of data fitting is described by Gaus…
Metric Learning via Maximizing the Lipschitz Margin Ratio
Mingzhi Dong, Xiaochen Yang, Yang Wu +1
In this paper, we propose the Lipschitz margin ratio and a new metric learning framework for classification through maximizing the ratio. This framework enables the integration of…
Learning Local Metrics and Influential Regions for Classification
Mingzhi Dong, Yujiang Wang, Xiaochen Yang +1
The performance of distance-based classifiers heavily depends on the underlying distance metric, so it is valuable to learn a suitable metric from the data. To address the problem…