9 citations · 12 across the 9 of their papers we have counts for
9 papers
Comparison of saturation rules used for gyrokinetic quasilinear transport modeling
Scott E. Parker, Calder Haubrich, Qiheng Cai +2
Theory-based transport modeling has been widely successful and is built on the foundations of quasilinear theory. Specifically, the quasilinear expression of the flux can be used i…
Anomalous large-scale collective motion in granular Brownian vibrators
Yangrui Chen, Jie Zhang
Using Brownian vibrators, we conducted a study on the structures and dynamics of quasi-2d granular materials with packing fractions () ranging from 0.111 to 0.832. Our observati…
Clusters and collective motions in Brownian vibrators
Yangrui Chen, Jie Zhang
Using Brownian vibrators, where single particles can undergo Brownian motion under vibration, we experimentally investigated self-organized structures and dynamics of quasi-two-dim…
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis
Hu Sun, Ward Manchester, Meng Jin +2
Multi-channel imaging data is a prevalent data format in scientific fields such as astronomy and biology. The structured information and the high dimensionality of these 3-D tensor…
MetaComp: Learning to Adapt for Online Depth Completion
Yang Chen, Shanshan Zhao, Wei Ji +2
Relying on deep supervised or self-supervised learning, previous methods for depth completion from paired single image and sparse depth data have achieved impressive performance in…
High-energy velocity tails in uniformly heated granular materials
Yangrui Chen, Jie Zhang
We experimentally investigate the velocity distributions of quasi two-dimensional granular materials, which are homogeneously driven, i.e. uniformly heated, by an electromagnetic v…
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference
Yangge Chen, Lei Cheng, Yik-Chung Wu
Recently, there is a revival of interest in low-rank matrix completion-based unsupervised learning through the lens of dual-graph regularization, which has significantly improved t…
Proximal PanNet: A Model-Based Deep Network for Pansharpening
Xiangyong Cao, Yang Chen, Wenfei Cao
Recently, deep learning techniques have been extensively studied for pansharpening, which aims to generate a high resolution multispectral (HRMS) image by fusing a low resolution m…
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure
Yang Chen, Xiangyong Cao, Qian Zhao +2
Hyperspectral image (HSI) denoising has been attracting much research attention in remote sensing area due to its importance in improving the HSI qualities. The existing HSI denois…