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Yuansheng Wang

Biographic Data

ID7953271
NAMEYuansheng Wang
GIVEN NAMESYuansheng
FAMILY NAMEWang
SIGNATUREWANG Y
AFFILIATIONSShanghai Jiao Tong University
ORCID0000-0002-8117-2642
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0
  • A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation

    Open Access•Fenfang Xie, Yuansheng Wang et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Recommendation system plays a remarkable role in solving the problem of information overload on the Internet. Existing research demonstrates that a recommended list enclosed with appropriate explanations can enhance the transparency of the system and encourage users to make decisions. Although existing works have achieved effective results, they still suffer from at least one of the following limitations: the work either does not use sentiment in…

  • Effects of Blended Learning in Physical Education among University Students

    Open Access•Chen Wang, Roxana Dev Omar Dev et al.•ARTICLE•Education Sciences•2022

    (1) Background: Blended learning (BL) models have attracted the attention of university teachers and students worldwide in recent years. However, systematic reviews related to the effectiveness of BL in university physical education are lacking. (2) Purpose: Therefore, this study aimed to evaluate the effects of BL in physical education among university students. (3) Methods: Searches were conducted in the following five databases: Web of Science…

  • Can Digital Finance Promote Comprehensive Carbon Emission Performance? Evidence from Chinese Cities

    Open Access•Hanhua Shao, Jixin Cheng et al.•ARTICLE•International Journal of…•2022

    Improving urban comprehensive carbon emission performance (CCEP) is the inevitable choice for China's low-carbon development. With the continuous integration of digital technology and financial elements, the development of urban digital finance has also been significantly improved. To further explore the impact of urban digital finance on urban low-carbon development, using the data of 281 cities in China from 2011 to 2019, this paper firstly eva…

No prominent works on this page.

  • Effects of Blended Learning in Physical Education among University Students

    Open Access•Chen Wang, Roxana Dev Omar Dev et al.•ARTICLE•Education Sciences•2022

    (1) Background: Blended learning (BL) models have attracted the attention of university teachers and students worldwide in recent years. However, systematic reviews related to the effectiveness of BL in university physical education are lacking. (2) Purpose: Therefore, this study aimed to evaluate the effects of BL in physical education among university students. (3) Methods: Searches were conducted in the following five databases: Web of Science…

  • Can Digital Finance Promote Comprehensive Carbon Emission Performance? Evidence from Chinese Cities

    Open Access•Hanhua Shao, Jixin Cheng et al.•ARTICLE•International Journal of…•2022

    Improving urban comprehensive carbon emission performance (CCEP) is the inevitable choice for China's low-carbon development. With the continuous integration of digital technology and financial elements, the development of urban digital finance has also been significantly improved. To further explore the impact of urban digital finance on urban low-carbon development, using the data of 281 cities in China from 2011 to 2019, this paper firstly eva…

  • A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation

    Open Access•Fenfang Xie, Yuansheng Wang et al.•ARTICLE•IEEE Transactions on Computational…•2024

    Recommendation system plays a remarkable role in solving the problem of information overload on the Internet. Existing research demonstrates that a recommended list enclosed with appropriate explanations can enhance the transparency of the system and encourage users to make decisions. Although existing works have achieved effective results, they still suffer from at least one of the following limitations: the work either does not use sentiment in…

Advanced Graph Neural Networks (1 work) · Artificial Intelligence (1 work) · Business (1 work) · China (1 work) · Climate Change Policy and Economics (1 work) · Computer Science (1 work) · Econometrics (1 work) · Economics (1 work) · Endogeneity (1 work) · Energy, Environment, and Transportation Policies (1 work)

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