8 citations · 12 across the 6 of their papers we have counts for
6 papers
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint
Arpan Man Sainju, Wenchong He, Zhe Jiang +2
Spatial classification with limited feature observations has been a challenging problem in machine learning. The problem exists in applications where only a subset of sensors are d…
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy
Wenchong He, Arpan Man Sainju, Zhe Jiang +1
Given a 3D surface defined by an elevation function on a 2D grid as well as non-spatial features observed at each pixel, the problem of surface segmentation aims to classify pixels…
Scalable Mining of Maximal Quasi-Cliques: An Algorithm-System Codesign Approach
Guimu Guo, Da Yan, M. Tamer Özsu +2
Given a user-specified minimum degree threshold , a -quasi-clique is a subgraph where each vertex connects to at least fraction of the other vert…
Rank Approximation of a Tensor with Applications in Color Image and Video Processing
Ramin Goudarzi Karim, Carmeliza Navasca, Da Yan
We propose a block coordinate descent type algorithm for estimating the rank of a given tensor. In addition, the algorithm provides the canonical polyadic decomposition of a tensor…
Scalable De Novo Genome Assembly Using Pregel
Da Yan, Hongzhi Chen, James Cheng +2
De novo genome assembly is the process of stitching short DNA sequences to generate longer DNA sequences, without using any reference sequence for alignment. It enables high-throug…
Lightweight Fault Tolerance in Large-Scale Distributed Graph Processing
Da Yan, James Cheng, Fan Yang
The success of Google's Pregel framework in distributed graph processing has inspired a surging interest in developing Pregel-like platforms featuring a user-friendly "think like a…