107 citations · 200 across the 12 of their papers we have counts for
12 papers
Neural Generalized Ordinary Differential Equations with Layer-varying Parameters
Duo Yu, Hongyu Miao, Hulin Wu
Deep residual networks (ResNets) have shown state-of-the-art performance in various real-world applications. Recently, the ResNets model was reparameterized and interpreted as solu…
A Bayesian group sequential schema for ordinal endpoints
Chengxue Zhong, Haitao Pan, Hongyu Miao
The ordinal endpoint is prevalent in clinical studies. For example, for the COVID-19, the most common endpoint used was 7-point ordinal scales. Another example is in phase II cance…
Hypothesis Testing for Two Sample Comparison of Network Data
Han Feng, Xing Qiu, Hongyu Miao
Network data is a major object data type that has been widely collected or derived from common sources such as brain imaging. Such data contains numeric, topological, and geometric…
Enabling Large Neural Networks on Tiny Microcontrollers with Swapping
Hongyu Miao, Felix Xiaozhu Lin
Running neural networks (NNs) on microcontroller units (MCUs) is becoming increasingly important, but is very difficult due to the tiny SRAM size of MCU. Prior work proposes many a…
Mathematical Modeling of Business Reopening when Facing SARS-CoV-2 Pandemic: Protection, Cost and Risk
Hongyu Miao, Qianmiao Gao, Han Feng +11
The sudden onset of the coronavirus (SARS-CoV-2) pandemic has resulted in tremendous loss of human life and economy in more than 210 countries and territories around the world. Whi…
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory
Hongyu Miao, Myeongjae Jeon, Gennady Pekhimenko +2
Stream analytics have an insatiable demand for memory and performance. Emerging hybrid memories combine commodity DDR4 DRAM with 3D-stacked High Bandwidth Memory (HBM) DRAM to meet…
A Robust AUC Maximization Framework with Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification
Ke Ren, Haichuan Yang, Yu Zhao +4
The positive-unlabeled (PU) classification is a common scenario in real-world applications such as healthcare, text classification, and bioinformatics, in which we only observe a f…
Structural Identifiability of Cyclic Graphical Models of Biological Networks with Latent Variables
Yulin Wang, Na Lu, Hongyu Miao
An efficient structural identifiability analysis algorithm is developed in this study for a broad range of network structures. The proposed method adopts the Wright's path coeffici…
A Scalable Algorithm for Structure Identification of Complex Gene Regulatory Network from Temporal Expression Data
Shupeng Gui, Rui Chen, Liang Wu +2
Motivation: Gene regulatory interactions are of fundamental importance to various biological functions and processes. However, only a few previous computational studies have claime…
Clustering Tree-structured Data on Manifold
Na Lu, Hongyu Miao
Tree-structured data usually contain both topological and geometrical information, and are necessarily considered on manifold instead of Euclidean space for appropriate data parame…
Sieve estimation of constant and time-varying coefficients in nonlinear ordinary differential equation models by considering both numerical error and measurement error
Hongqi Xue, Hongyu Miao, Hulin Wu
This article considers estimation of constant and time-varying coefficients in nonlinear ordinary differential equation (ODE) models where analytic closed-form solutions are not av…
Estimation of constant and time-varying dynamic parameters of HIV infection in a nonlinear differential equation model
Hua Liang, Hongyu Miao, Hulin Wu
Modeling viral dynamics in HIV/AIDS studies has resulted in a deep understanding of pathogenesis of HIV infection from which novel antiviral treatment guidance and strategies have…