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, advised by Prof. Nachiketa Sahoo and Prof. Chris Dellarocas. Previously, I received B.S. from Wuhan University in 2006 and Ph.D. of Computer Science from Institute of Computing Technology, Chinese Academy of Sciences in 2012.

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

Minneapolis, MN 55455

Email: ycsong@umn.edu

Research Interests

  • Consumer's Path to Purchase
  • Online Media Market
  • Personalized Recommender Systems
  • Crowdfunding for Charity

Research Methods

  • Machine Learning
  • Bayesian Modeling
  • Economic Structural Modeling
  • Reinforcemetn Learning
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Papers

Working Papers
Journal Papers
  • Yicheng Song, Nachiketa Sahoo, Elie Ofek: When and How to Diversify—A Multi-Category Utility Model for Personalized Content Recommendation. Forthcoming, Management Science.
  • 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) [Top Journal in Intelligent Systems, 2014 Impact Factor: 9.39]
  • 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) [Top Journal in Multimedia Technology, 2015 Impact Factor: 2.53]
  • 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
  • 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 (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 (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.

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Teaching

Lecturer
  • Predictive Analytics (MSBA6420) Fall 17-Now
  • Managing Data Resources (IS465) Spring 16
Teaching Assistant
  • Advanced Business Analytics: Data Mining (IS841) Fall ’13, Fall ’14
  • Managing Data Resources (IS465) Fall ’14, Fall ’15, Fall ’16
  • IT Applications in Management (IS717) Spring ’14
  • Data Management Resources (IS 889) Summer '16

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Honors and Awards

  • Adviser of First Place Overall Team in Graduate Division, MinneMUDAC 2018 Data Challenge
  • Winner of Best Paper Award, Conference on Information Systems & Technology 2018 (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, 2014 Workshop on Information Technologies and Systems (WITS 2014)
  • Boston University School of Management Doctoral Fellowship, 2012-2016
  • 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
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Skills

  • Programming Languages: Python, R, Matlab, Java, C#.
  • Data Mining Packages: SAS Enterprise Miner, RapidMiner, WEKA.
  • Experience: Keras, Tensorflow, Probabilistic Programming (PyMC3), Hadoop, Spark, Large Scale Multimedia Retrieval, Multimedia Clustering/Classification, Computer Vision, Open CV, Product Search Engine, NLP.
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Disclaimer