2 citations · 4 across the 4 of their papers we have counts for
4 papers
Enhancing Sound Source Localization via False Negative Elimination
Zengjie Song, Jiangshe Zhang, Yuxi Wang +2
Sound source localization aims to localize objects emitting the sound in visual scenes. Recent works obtaining impressive results typically rely on contrastive learning. However, t…
Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning
Hongtao Wang, Li Long, Jiangshe Zhang +3
Contemporary automatic first break (FB) picking methods typically analyze 1D signals, 2D source gathers, or 3D source-receiver gathers. Utilizing higher-dimensional data, such as 2…
An information-theoretic learning model based on importance sampling
Jiangshe Zhang, Lizhen Ji, Fei Gao +1
A crucial assumption underlying the most current theory of machine learning is that the training distribution is identical to the test distribution. However, this assumption may no…
Information Theoretical Importance Sampling Clustering
Jiangshe Zhang, Lizhen Ji, Meng Wang
A current assumption of most clustering methods is that the training data and future data are taken from the same distribution. However, this assumption may not hold in most real-w…