Kunpeng Mu

Xi'an University of Technology — China

Mathematics · Physical Sciences

18h-index5.2kcitations41works8.32yr avg
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Research Topics

COVID-19 epidemiological studies(31), SARS-CoV-2 and COVID-19 Research(15), Data-Driven Disease Surveillance(12), Vaccine Coverage and Hesitancy(11), Influenza Virus Research Studies(5)

Publications38 total

A Two-Stage Multimodal Remote Sensing Image Registration Network with Deformation-Refined Affine Transformation
Lecture notes in computer science·2025
Replacing complex transformer with simple attention to achieve hyperspectral and multispectral image fusion
Engineering Applications of Artificial Intelligence·2025
A Dual-Branch Network of Strip Convolution and Swin Transformer for Multimodal Remote Sensing Image Registration
Remote Sensing·2025· 2 citedOpen Access
Evaluation of stochastic trajectory-based epidemic models using the energy score
2025Open Access
A Multihierarchy Flow Field Prediction Network for Multimodal Remote Sensing Image Registration
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2025· 4 citedOpen Access
Real-time estimates of the emergence and dynamics of SARS-CoV-2 variants of concern: A modeling approach
Epidemics·2024· 1 citedOpen Access
Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations
UNC Libraries·2024Open Access
MDSCNN: Remote Sensing Image Spatial–Spectral Fusion Method via Multi-Scale Dual-Stream Convolutional Neural Network
Remote Sensing·2024· 5 citedOpen Access
Challenges of COVID-19 Case Forecasting in the US, 2020–2021
UNC Libraries·2024Open Access
Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations
Nature Communications·2024· 46 citedOpen Access
Challenges of COVID-19 Case Forecasting in the US, 2020–2021
PLoS Computational Biology·2024· 28 citedOpen Access
Potential impact of annual vaccination with reformulated COVID-19 vaccines: Lessons from the US COVID-19 scenario modeling hub
PLoS Medicine·2024· 13 citedOpen Access
A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US
Epidemics·2024· 9 citedOpen Access
Evaluation of FluSight influenza forecasting in the 2021-22 and 2022-23 seasons with a new target laboratory-confirmed influenza hospitalizations
2023· 6 citedOpen Access
Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
Nature Communications·2023· 55 citedOpen Access
Potential impact of annual vaccination with reformulated COVID-19 vaccines: lessons from the U.S. COVID-19 Scenario Modeling Hub
2023· 4 citedOpen Access
Informing pandemic response in the face of uncertainty. <i>An evaluation of the U.S. COVID-19 Scenario Modeling Hub</i>
2023· 6 citedOpen Access
Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi-model study
UNC Libraries·2023· 1 citedOpen Access
Challenges of COVID-19 Case Forecasting in the US, 2020-2021
2023· 3 citedOpen Access
Multiple models for outbreak decision support in the face of uncertainty
Proceedings of the National Academy of Sciences·2023· 38 citedOpen Access
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Frequent Co-authors

Alessandro Vespignani(32), Matteo Chinazzi(30), Jessica T. Davis(29), Ana Pastore y Piontti(29), Cécile Viboud(20), Xinyue Xiong(20), Shaun Truelove(18), Benjamin Hurt(18), Justin Lessler(18), Claire P. Smith(17), Ajitesh Srivastava(17), Aniruddha Adiga(17), Joseph C. Lemaitre(15), Przemyslaw Porebski(15), Bryan Lewis(15), Madhav Marathe(15), Teresa K. Yamana(15), Jeffrey Shaman(15), Alison L. Hill(15), Emily Howerton(14)