Yicheng Song 宋一丞

Yicheng Song, Tianshu Sun: Ensemble Experiments to Optimize Interventions along Customer Journey: A Reinforcement Learning Approach. Forthcoming, Management Science

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)

Yicheng Song, Tianshu Sun: Consumer Search and Dynamic Preference: A Deep Structural Econometric Model. Presented at:

• 2023 Informs Conference on Information Systems and Technology (CIST23) (Runner-up of the best paper award)

Meizi Zhou, Liben Chen, Yicheng Song, Gedas Adomavicius: Impact of Data Privacy Regulations on Recommender Systems Performance in the Presence of Stable vs. Dynamic User Preferences. Presented at:

• 2023 INFORMS Workshop on Data Science

Uttara Madurai Ananthakrishnan, Jason Chan, Yicheng Song: Policing the Police: Examining the Role of News Reports on Racially-Biased Policing. Presented at:

• 2022 Statistical Challenges in eCommerce Research Symposium (SCECR 22)

Yicheng Song, Tianshu Sun: Ensembling Experiments to Optimize Interventions along Customer Journey: A Deep Reinforcement Learning Approach. Presented at:

• 2021 Informs Conference on Information Systems and Technology (CIST 2021)

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.

Runner Up of the Best Paper Award, CIST 2023

Dean's Small Research Grant, Carlson School of Management, Dec 2023

Distinguished Service Awards, Management Science, Sep 2023

MABA Outstanding Teacher, Carlson School of Management, May 2023

Adviser of First Place Overall Team in Graduate Division, MinneMUDAC 2023 Data Challenge

Best Reviewer, INFORMS Workshop on Data Science, Oct 2022

MSBA Outstanding Teacher, Carlson School of Management, Aug 2022

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

Predictive Analytics (MSBA6421) Fall 17-Now 

Data Modeling and Databases (IDSC3103) Fall 20-Now

Managing Data Resources (IS465) Spring 16