activity
20102022
most citedSieve estimation of constant and time-varying coefficients in nonlinear ordinary differential equation models by considering both numerical error and measurement error

107 citations · 179 across the 7 of their papers we have counts for

collaborators

9 papers

cs.LG20221 cited

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…

stat.ME20212 cited

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…

cs.AR2021

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…

physics.soc-ph20201 cited

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…

cs.DB201922 cited

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…

cs.LG2018

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…