Yicheng Song 宋一丞

I am an Assistant Professor of Information & Decision Sciences at Carlson School of Management, University of Minnesota. I received my doctoral degree in Information Systems from Questrom School of Business, Boston University Previously, I received B.S. from Wuhan University and Ph.D. of Computer Science from Institute of Computing Technology, Chinese Academy of Sciences.


3-366, Carlson School of Management, 321 Nineteenth Avenue South

Minneapolis, MN 55455

Email: ycsong@umn.edu

Research Interests

  • Personalized Recommender Systems

  • Consumer's Path to Purchase

  • Crowdfunding for Charity

Research Methods

  • Machine Learning

  • Bayesian Modeling

  • Economic Structural Modeling

  • Reinforcement Learning

Journal Papers

  • Yicheng Song, Nachiketa Sahoo, Shuba Srinivasan, Chrysanthos Dellarocas: Uncovering Characteristic Response Paths of a Population. INFORMS Journal on Computing 34(3):1661-1680 (2022).

  • Yicheng Song, Zhuoxin Li, Nachiketa Sahoo: Matching Returning Donors to Projects on Charitable Giving Platform. Management Science 68(1):355-375 (2022).

  • Yicheng Song, Nachiketa Sahoo, Elie Ofek: When and How to Diversify - A Multicategory Utility Model for Personalized Content Recommendation. Management Science. 65(8): 3737-3757 (2019).

  • Yicheng Song, Yongdong Zhang, Juan Cao, Jinhui Tang, Xingyu Gao, Jintao Li: A Unified Geolocation Framework for Web Videos. ACM Transactions on Intelligent Systems and Technology 5(3): 49 (2014)

  • Yicheng Song, Yongdong Zhang, Juan Cao, Tian Xia, Wu Liu, JinTao Li: Web Video Geolocation by Geotagged Social Resources. IEEE Transactions on Multimedia 14(2): 456-470 (2012)

  • Zhineng Chen, Juan Cao, Tian Xia, Yicheng Song, Yongdong Zhang, Jintao Li: Web video retagging. Multimedia Tools Appl. 55(1): 53-82 (2011)

Conference Papers

  • Meizi Zhou, Yicheng Song, Zhuoxin Li, Chunmian Ge: Short-Lived Item Recommendation. Presented at:

    • 2020 Informs Conference on Information Systems and Technology (CIST20)

    • 2020 Conference on Artificial Intelligence, Machine Learning, and Business Analytics

    • 2019 Decision Science Conference

    • 2019 INFORMS Annual Meeting, Seattle

  • Yicheng Song, Zhuoxin Li, Nachiketa Sahoo: Matching Donors to Projects on Charitable Giving Platform. Presented at:

    • 2018 Workshop on Information Technologies and Systems (WITS 2018)

    • 2018 Informs Conference on Information Systems and Technology (CIST18) (Winner of the best paper award)

    • 2018 INFORMS Annual Meeting, Phoenix

    • 2018 Marketing Dynamics Conference

    • 12th China Summer Workshop on Information Management (CSWIM 2018)

    • 2018 Statistical Challenges in eCommerce Research Symposium (SCECR 18)

  • Yicheng Song, Nachiketa Sahoo, Elie Ofek: When Diversity Becomes RelevantA Multi-Category Utility Model of Consumer Response to Content Recommendations. Presented at:

    • 2017 Marketing Dynamics Conference

    • Stanford 2016 Conference on Digital Marketing (17% acceptance rate)

    • 2016 Informs Conference on Information Systems and Technology (CIST16)

    • 2016 Workshop on Information Systems Economics (WISE 2016)

    • 2016 Statistical Challenges in eCommerce Research Symposium (SCECR 16)

    • 2016 ISMS Marketing Science Conference

    • 2016 Winter Conference on Business Intelligence (WCBI 16)

  • Yicheng Song, Nachiketa Sahoo, Shuba Srinivasan, Chrysanthos Dellarocas: Uncovering Pathto-Purchase Consumer Behaviors using Clustered Multivariate Autoregression. Presented at:

    • 2016 Marketing Dynamics Conference

    • 2015 ISMS Marketing Science Conference

    • 2015 Winter Conference on Business Intelligence (WCBI 15)

    • NYU 2015 Conference on Digital Big Data, Smart Life, Mobile Marketing Analytics

    • 2014 Workshop on Information Technologies and Systems (WITS 2014) (Winner of the best paper award)

    • 2014 Statistical Challenges in eCommerce Research Symposium (SCECR 14)

  • Yicheng Song, Juan Cao, Zhineng Chen, Yongdong Zhang, Jintao Li: Tag transformer. ACM Multimedia 2010.

  • Zhineng Chen, Juan Cao, Yicheng Song, Junbo Guo, Yongdong Zhang, Jintao Li: Context-oriented web video tag recommendation, WWW 2010.

  • Yicheng Song, Yongdong Zhang, Xu Zhang, Juan Cao, Jintao Li: Google challenge: incremental-learning for web video categorization on robust semantic feature space. ACM Multimedia 2009.

Honors and Awards

  • MABA Outstanding Teacher, Carlson School of Management, May 2022

  • Management Science Distinguished Service Awards, Sep 2021

  • MSI research grant, June 2021

  • PT MSBA Teacher of the Year, Carlson School of Management, Aug 2020

  • Adobe Faculty Research Award 2020, with Tianshu Sun, May 2020

  • Adviser of First Place Overall Team in Graduate Division, MinneMUDAC 2019 Data Challenge

  • MSBA Teacher of the Year, Carlson School of Management, May 2019

  • Adviser of First Place Overall Team in Graduate Division, MinneMUDAC 2018 Data Challenge

  • Winner of Best Paper Award, CIST 2018

  • NVIDIA GPU Grant, 2018 (Quadro P6000 GPU)

  • American Marketing Association-EBSCO Answers in Action Grant, 2017 ($7,500)

  • Hariri Graduate Fellowship, 2016 ($10,000)

  • Best Ph.D. Research Paper, 2015 Questrom School of Business Faculty Research Day

  • Winner of Best Paper Award, WITS 2014

  • Bei Wei Scholarships, 2011 (RMB 10,000)

  • Excellent Student Leader, Graduate University of Chinese Academy of Science, 2009-2010

  • Merit Student, Graduate University of Chinese Academy of Science, 2008-2009

Teaching

  • Predictive Analytics (MSBA6420) Fall 17-Now

  • Data Modeling and Databases (IDSC3103) Fall 20-Now

  • Managing Data Resources (IS465) Spring 16