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Huasheng Liu

Biographic Data

ID7924465
NAMEHuasheng Liu
GIVEN NAMESHuasheng
FAMILY NAMELiu
SIGNATURELIU H
AFFILIATIONSJilin University
ORCID0000-0002-2635-999X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Multimodal machine learning-based model for differentiating nontuberculous mycobacteria from mycobacterium tuberculosis

    Open Access•Hongling Li, Hong-ling Li et al.•ARTICLE•Frontiers in Public Health•2025

    Objective: To develop and evaluate the effectiveness of multimodal machine learning approach for the differentiation of NTM from MTB. Methods: The clinical data and CT images of 175 patients were retrospectively obtained. We established clinical data-based model, radiomics-based model, and multimodal (clinical plus radiomics) model gradually using 5 machine learning algorithms (Logistic, XGBoost, AdaBoost, RandomForest, and LightGBM). Optimal alg…

  • A Two-Phase, Joint-Commuting Model for Primary and Secondary Schools Considering Parking Sharing

    Open Access•Huasheng Liu, Yuqi Zhao et al.•ARTICLE•International Journal of…•2022

    In light of the traffic congestion and traffic environment problems around schools that are caused by students commuting by car, this paper explores an efficient and feasible student commuting travel plan. Based on the ideas of "public-private cooperation" and "parking sharing", combined with the characteristics of the family travel chain during the commuting period, a joint-commuting model of "private car and school bus" is creatively proposed. …

  • School Surrounding Region Traffic Commuting Analysis Based on Simulation

    Open Access•Huasheng Liu, Haoran Deng et al.•ARTICLE•International Journal of…•2022

    Student commuting is an important part of urban travel demand and private car commuting plays an important role in urban traffic, especially in areas near schools. Since parents, especially the parents of elementary and junior high school students, prefer to drive rather than take public transport, there will be a negative effect on traffic management. To address the challenge, a simulation model is established based on schools' surrounding regio…

No prominent works on this page.

  • A Two-Phase, Joint-Commuting Model for Primary and Secondary Schools Considering Parking Sharing

    Open Access•Huasheng Liu, Yuqi Zhao et al.•ARTICLE•International Journal of…•2022

    In light of the traffic congestion and traffic environment problems around schools that are caused by students commuting by car, this paper explores an efficient and feasible student commuting travel plan. Based on the ideas of "public-private cooperation" and "parking sharing", combined with the characteristics of the family travel chain during the commuting period, a joint-commuting model of "private car and school bus" is creatively proposed. …

  • School Surrounding Region Traffic Commuting Analysis Based on Simulation

    Open Access•Huasheng Liu, Haoran Deng et al.•ARTICLE•International Journal of…•2022

    Student commuting is an important part of urban travel demand and private car commuting plays an important role in urban traffic, especially in areas near schools. Since parents, especially the parents of elementary and junior high school students, prefer to drive rather than take public transport, there will be a negative effect on traffic management. To address the challenge, a simulation model is established based on schools' surrounding regio…

  • Multimodal machine learning-based model for differentiating nontuberculous mycobacteria from mycobacterium tuberculosis

    Open Access•Hongling Li, Hong-ling Li et al.•ARTICLE•Frontiers in Public Health•2025

    Objective: To develop and evaluate the effectiveness of multimodal machine learning approach for the differentiation of NTM from MTB. Methods: The clinical data and CT images of 175 patients were retrospectively obtained. We established clinical data-based model, radiomics-based model, and multimodal (clinical plus radiomics) model gradually using 5 machine learning algorithms (Logistic, XGBoost, AdaBoost, RandomForest, and LightGBM). Optimal alg…

Computer Science (3 works) · Engineering (2 works) · Transport engineering (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Civil engineering (1 work) · Energy consumption (1 work) · Environmental Science (1 work) · Geography (1 work) · Intersection (aeronautics (1 work)

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