70 citations · 179 across the 19 of their papers we have counts for
19 papers
A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis
Rui Ming, Haiping Xu, Shannon E. Gibbs +2
Deep learning approaches require collection of data on many different input features or variables for accurate model training and prediction. Since data collection on input feature…
Improving Short Text Classification With Augmented Data Using GPT-3
Salvador Balkus, Donghui Yan
GPT-3 is a large-scale natural language model developed by OpenAI that can perform many different tasks, including topic classification. Although researchers claim that it requires…
Towards Understanding the COVID-19 Case Fatality Rate
Donghui Yan, Aiyou Chen, Buqing Yang
An important parameter for COVID-19 is the case fatality rate (CFR). It has been applied to wide applications, including the measure of the severity of the infection, the estimatio…
Learning Low-dimensional Manifolds for Scoring of Tissue Microarray Images
Donghui Yan, Jian Zou, Zhenpeng Li
Tissue microarray (TMA) images have emerged as an important high-throughput tool for cancer study and the validation of biomarkers. Efforts have been dedicated to further improve t…
Estimating the Number of Infected Cases in COVID-19 Pandemic
Donghui Yan, Ying Xu, Pei Wang
The COVID-19 pandemic has caused major disturbance to human life. An important reason behind the widespread social anxiety is the huge uncertainty about the pandemic. A fundamental…
: A Divide-and-conquer Algorithm for Large-scale Kernel Learning with Application to Clustering
Ke Alexander Wang, Xinran Bian, Pan Liu +1
Divide-and-conquer is a general strategy to deal with large scale problems. It is typically applied to generate ensemble instances, which potentially limits the problem size it can…
Similarity Kernel and Clustering via Random Projection Forests
Donghui Yan, Songxiang Gu, Ying Xu +1
Similarity plays a fundamental role in many areas, including data mining, machine learning, statistics and various applied domains. Inspired by the success of ensemble methods and…
Learning over inherently distributed data
Donghui Yan, Ying Xu
The recent decades have seen a surge of interests in distributed computing. Existing work focus primarily on either distributed computing platforms, data query tools, or, algorithm…
A First Course in Data Science
Donghui Yan, Gary E. Davis
Data science is a discipline that provides principles, methodology and guidelines for the analysis of data for tools, values, or insights. Driven by a huge workforce demand, many a…
Fast communication-efficient spectral clustering over distributed data
Donghui Yan, Yingjie Wang, Jin Wang +2
The last decades have seen a surge of interests in distributed computing thanks to advances in clustered computing and big data technology. Existing distributed algorithms typicall…
A Structured Approach to the Analysis of Remote Sensing Images
Donghui Yan, Congcong Li, Na Cong +2
The number of studies for the analysis of remote sensing images has been growing exponentially in the last decades. Many studies, however, only report results---in the form of cert…
Cost-sensitive Selection of Variables by Ensemble of Model Sequences
Donghui Yan, Zhiwei Qin, Songxiang Gu +2
Many applications require the collection of data on different variables or measurements over many system performance metrics. We term those broadly as measures or variables. Often…
K-nearest Neighbor Search by Random Projection Forests
Donghui Yan, Yingjie Wang, Jin Wang +2
K-nearest neighbor (kNN) search has wide applications in many areas, including data mining, machine learning, statistics and many applied domains. Inspired by the success of ensemb…
Incorporating Deep Features in the Analysis of Tissue Microarray Images
Donghui Yan, Timothy W. Randolph, Jian Zou +1
Tissue microarray (TMA) images have been used increasingly often in cancer studies and the validation of biomarkers. TACOMA---a cutting-edge automatic scoring algorithm for TMA ima…
Clustering of Transcriptomic Data for the Identification of Cancer Subtypes
Xiaochun Chen, Honggang Wang, Donghui Yan
Cancer is a number of related yet highly heterogeneous diseases. Correct identification of cancer subtypes is critical for clinical decisions. The advance in sequencing technologie…
The Turtleback Diagram for Conditional Probability
Donghui Yan, Gary E. Davis
We elaborate on an alternative representation of conditional probability to the usual tree diagram. We term the representation `turtleback diagram' for its resemblance to the patte…
Cluster Forests
Donghui Yan, Aiyou Chen, Michael I. Jordan
With inspiration from Random Forests (RF) in the context of classification, a new clustering ensemble method---Cluster Forests (CF) is proposed. Geometrically, CF randomly probes a…
Statistical methods for tissue array images - algorithmic scoring and co-training
Donghui Yan, Pei Wang, Michael Linden +2
Recent advances in tissue microarray technology have allowed immunohistochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of d…
Classification under Data Contamination with Application to Remote Sensing Image Mis-registration
Donghui Yan, Peng Gong, Aiyou Chen +1
This work is motivated by the problem of image mis-registration in remote sensing and we are interested in determining the resulting loss in the accuracy of pattern classification.…