Jinming Wan

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Changqing ChengSUNY BinghamtonVerified email at binghamton.edu
Hiroki SayamaSUNY Distinguished Professor of Systems Science and Industrial Engineering, Binghamton UniversityVerified email at binghamton.edu
Yiming CheArizona State UniversityVerified email at binghamton.edu
Yamir MorenoInstitute BIFI, Universidad de Zaragoza, Zaragoza, SpainVerified email at unizar.es
Michael SmallThe University of Western AustraliaVerified email at uwa.edu.au
Genki IchinoseAssociate Professor, Department of Mathematical and Systems Engineering, Shizuoka UniversityVerified email at shizuoka.ac.jp
Zimo WangBinghamton UniversityVerified email at binghamton.edu
Jun KataokaAI/ML Engineer at Niagara BottlingVerified email at binghamton.edu
Eric PeñaBinghamton UniversityVerified email at binghamton.edu
Jayanth SivakumarLead data scientist - VP at Citi, Ph.D. in Systems scienceVerified email at binghamton.edu
N. Eva Wu, Eva WuProfessor of Electrical Engineering, Binghamton UniversityVerified email at binghamton.edu

Jinming Wan

Research Assistant of Binghamton University

Verified email at binghamton.edu

Machine Learing Uncertainty Quantification Complex System Modelling and Simulation


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Comparison of dilute acid and alkali pretreatments in production of fermentable sugars from bamboo: Effect of Tween 80 K Li, J Wan, X Wang, J Wang, J Zhang Industrial Crops and Products 83, 414-422, 2016	79	2016
Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics J Wan, G Ichinose, M Small, H Sayama, Y Moreno, C Cheng Chaos, Solitons & Fractals 164, 112735, 2022	23	2022
Uncertainty Quantification and Optimal Robust Design for Machining Operations J Wan, Y Che, Z Wang, C Cheng Journal of Computing and Information Science in Engineering 23 (1), 011005, 2023	9	2023
A study of comparing CAD/CAM simulated machining time with practical CNC machining time and the influence of the parameter setting in CNC J Wan Morehead State University, 2018	3	2018
Sparse Bayesian Learning for Sequential Inference of Network Connectivity From Small Data J Wan, J Kataoka, J Sivakumar, E Peña, Y Che, H Sayama, C Cheng IEEE Transactions on Network Science and Engineering, 2024		2024
Sparse Learning and Bayesian Sequential Inference of Network Connectivity J Wan, J Kataoka, J Sivakumar, E Peña, Y Che, H Sayama, C Cheng 2024 IISE Annual Conference and Expo, 2024		2024
Model Predictive Control in Optimal Intervention of Covid-19 with Mixed Epistemic-Aleatoric Uncertainty J Wan, S Mirghorbani, NE Wu, C Cheng 2023 Winter Simulation Conference (WSC), 722-733, 2023		2023
Small Data and Sparse Bayesian Learning for Sequential Inference of Network Connectivity J Wan, J Kataoka, H Sayama, C Cheng, J Sivakumar, E Peña, Y Che

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