activity
20162023
most citedDesign of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure

31 citations · 93 across the 13 of their papers we have counts for

collaborators

13 papers

stat.ME2023

Objective Bayesian analysis for the generalized exponential distribution

Aojun Li, Keying Ye, Min Wang

In this paper, we consider objective Bayesian inference of the generalized exponential distribution using the independence Jeffreys prior and validate the propriety of the posterio…

astro-ph.SR2023★ 8 cited

VLBI Astrometry of Radio Stars to Link Radio and Optical Celestial Reference Frames. I. HD 199178 AR Lacertae

Wen Chen, Bo Zhang, Jingdong Zhang +6

To accurately link the radio and optical Celestial Reference Frames (CRFs) at optical bright end, i.e., with Gaia G band magnitude < 13, increasing number and improving sky distrib…

cs.PF2022

Violation Probabilities of AoI and PAoI and Optimal Arrival Rate Allocation for the IoT-based Multi-Source Status Update System

Tianci Zhang, Shutong Chen, Zhengchuan Chen +4

Lots of real-time applications over Internet of things (IoT)-based status update systems have imperative demands on information freshness, which is usually evaluated by age of info…

math.NA2022★ 1 cited

A Crank-Nicolson leap-frog scheme for the unsteady incompressible magnetohydrodynamics equations

Zhiyong Si, Mingyi Wang, Yunxia Wang

This paper presents a Crank-Nicolson leap-frog (CNLF) scheme for the unsteady incompressible magnetohydrodynamics (MHD) equations. The spatial discretization adopts the Galerkin fi…

cs.IT2022

Analysis of Age of Information in Dual Updating Systems

Zhengchuan Chen, Dapeng Deng, Howard H. Yang +5

We study the average Age of Information (AoI) and peak AoI (PAoI) of a dual-queue status update system that monitors a common stochastic process. Although the double queue parallel…

eess.IV2022★ 29 cited

Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attention

Wei Dai, Rui Liu, Tianyi Wu +3

Accurate and unbiased examinations of skin lesions are critical for the early diagnosis and treatment of skin diseases. Visual features of skin lesions vary significantly because t…

stat.ME2022★ 13 cited

A Study on the Power Parameter in Power Prior Bayesian Analysis

Zifei Han, Keying Ye, Min Wang

The power prior and its variations have been proven to be a useful class of informative priors in Bayesian inference due to their flexibility in incorporating the historical inform…

cs.CR2022

Cancellable Template Design for Privacy-Preserving EEG Biometric Authentication Systems

Min Wang, Song Wang, Jiankun Hu

As a promising candidate to complement traditional biometric modalities, brain biometrics using electroencephalography (EEG) data has received a widespread attention in recent year…

math.AP2022★ 1 cited

Improved lower bounds of analytic radius for the Benjamin-Bona-Mahony equation

Ming Wang

This paper is devoted to the spatial analyticity of the solution of the BBM equation on the real line with an analytic initial data. It is shown that the analytic radius has a lowe…

q-bio.QM2020

A Novel Approach of using AR and Smart Surgical Glasses Supported Trauma Care

Anurag Lal, Ming-Hsien Hu, Pei-Yuan Lee +1

BACKGROUND: Augmented reality (AR) is gaining popularity in varying field such as computer gaming and medical education fields. However, still few of applications in real surgeries…

cs.CV2020★ 9 cited

Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering

Min Wang, Feng Qiu, Wentao Liu +3

Superior human pose and shape reconstruction from monocular images depends on removing the ambiguities caused by occlusions and shape variance. Recent works succeed in regression-b…

stat.AP2020★ 1 cited

Health Assessment and Prognostics Based on Higher Order Hidden Semi-Markov Models

Ying Liao, Yisha Xiang, Min Wang

This paper presents a new and flexible prognostics framework based on a higher order hidden semi-Markov model (HOHSMM) for systems or components with unobservable health states and…

cs.CV2016★ 31 cited

Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure

Min Wang, Baoyuan Liu, Hassan Foroosh

Deep convolutional neural networks achieve remarkable visual recognition performance, at the cost of high computational complexity. In this paper, we have a new design of efficient…