Rchr
J-GLOBAL ID:201901005633916486   Update date: Oct. 14, 2024

Yinxing Li

李 銀星 | Yinxing Li
Affiliation and department:
Research field  (2): Statistical science ,  Business administration
Research keywords  (4): Nature language Process ,  Machine learning ,  Bayesian Statistics ,  Marketing Research
Research theme for competitive and other funds  (6):
  • 2024 - 2028 Large Market Modeling using Deep Learning
  • 2022 - 2027 多様な情報の融合と大規模異質性モデリングによるマーケティング意思決定の組織的研究
  • 2023 - 2027 Understanding of Consumption Context Using User Generated Big Data
  • 2021 - 2026 Modeling of large scale spatio-temporal data and its empirical applications in social science
  • 2017 - 2022 Evolution of marketing model and theory by integrating data, theory and analytical method
Show all
Papers (9):
  • Yinxing Li, Nobuhiko Terui. Embedding Marketing Environment with Customer Heterogeneity for Store-Level Scanner Data. SN Computer Science. 2023. 4. 4
  • Yinxing Li, Aijing Xing, Nobuhiko Terui. Modeling Customer Satisfaction’s Impact on Loyalty: Insights for Customer-Centric Resource Allocation. Service Science. 2023
  • Li, Y, Terui, N. Product Embedding for Large-Scale Disaggregated Sales Data. In Proceedings of the 13th International Joint Conference on Knowledge Discovery. 2021. 1. 69-75
  • Deanna W, Li, Y, Yang, H. Social Ties and User Contribution: Evidence from Twitter. Global Marketing Conference Proceedings. 2020. 1470-1471
  • Terui, N, Li, Y. Measuring Large-Scale Market Responses from Aggregated Sales - Regression Model for High-Dimensional Sparse Data -. Journal of Forcasting. 2019. 38. 5. 440-458
more...
MISC (1):
  • TERUI Nobuhiko, Li Yinxing. Measuring Large-Scale Market Responses from Aggregated Sales - Regression Model for High-Dimensional Sparse Data -. DSSR Discussion Papers. 2017. 66. 1-31
Books (2):
  • ニューラルネットワーク入門 (探検データサイエンス)
    共立出版 2024 ISBN:4320125223
  • 経済経営のデータサイエンス (探検データサイエンス)
    共立出版 2022 ISBN:4320125193
Lectures and oral presentations  (19):
  • Receipt Embedding and Shopping Mission Segmentation
    (2023 ISMS Marketing Science Conference 2024)
  • Segmentation of Purchase Purpose by Receipt Embedding in ID-POS Data
    (2024)
  • 変数重要度つきLSTMによる保険データ分析
    (統計関連学会連合 2023)
  • Lstm-based Conditional VAE For Big-scale Panel Data
    (2023ISMS Marketing Science Conference 2023)
  • Content Diffusion on Social Media: The Roles of Emerging Ties and User Interest
    (30th Annual Conference on PBFEAM 2022)
more...
Education (3):
  • 2016 - 2019 Tohoku University Institution of Economics and Management Management
  • 2014 - 2016 Tohoku University Economics Management
  • 2009 - 2013 Beijing Jiaotong University Economics ans Management Economics
Professional career (1):
  • 経営学博士 (東北大学)
Work history (3):
  • 2022/10 - 現在 Tohoku University Graduate School of Economics and Management
  • 2022/04 - 2022/09 Tohoku University Center for Data-driven Science and Artificial Intelligence
  • 2019/04 - 2022/03 Tohoku University Institution of Economics and Management assistant professor
Awards (4):
  • 2019/03 - Tohoku University 東北大学総長賞
  • 2018/09 - 東北大学藤野先生記念奨励賞
  • 2018/02 - Kick-off International Symposium of International Graduate Program for Data Science 最優秀賞
  • 2017/02 - 「新しい経済産業指標開発コンテスト」 「新しい経済産業指標開発コンテスト」 優秀賞
Association Membership(s) (1):
日本マーケティング・サイエンス学会
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page