Shunyuan Zhang Shunyuan Zhang
I'm a fourth-year Ph.D. student in Marketing/Business Technology at the Tepper School of Business, Carnegie Mellon University.

 

Curriculum Vitae

 

Research Interests

Sharing Economy, Crowdsourcing, Social Media

Digital Marketing, Quantitative Marketing

 

Methods

Econometrics (Structural Modeling, Dynamic Models, Bayesian Inference)

Machine Learning (Deep Learning, Computer Vision, Natural Language Processing)

 

Job Market Paper

"Can Lower-Quality Images Lead to Greater Demand on Airbnb?", with Nitin Mehta, Param Vir Singh, Kannan Srinivasan, 2018.

 

Working Papers

Shunyuan Zhang, Nitin Mehta, Param Vir Singh, Kannan Srinivasan, 2018, "Can Lower-Quality Images Lead to Greater Demand on Airbnb?,” Job Market Paper,Drafting.

Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan, 2017, " How Much Is an Image Worth? Airbnb Property Demand Estimation Leveraging Large Scale Image Analytics,” Under 2nd round of review at Management Science.

Shunyuan Zhang, Param Vir Singh, Anindya Ghose, 2016, "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests," Forthcoming at Information Systems Research.

Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Tridas Mukhopadhyay , 2018, “Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft,” Revising for 2nd round of review at Management Science.

 

Work in Progress

Shunyuan Zhang, "Towards the Reasoning of Ads via Image Captioning: A Visual Question Answering (VQA) Approach,” 2018

Shunyuan Zhang, "Who Benefits from Artificial Intelligence? An Empirical Analysis of Returns to Smart Pricing Algorithm on Airbnb,” 2018, with Nitin Mehta, Param Vir Singh, Kannan Srinivasan

 

Conference/Seminar Presentations

INFORMS Marketing Science Conference, Philadelphia, PA, 2018

Purdue University Research Center For Open Digital Innovation, West Lafayette, IN, 2018

INFORMS Marketing Science Conference, Los Angeles, CA, 2017

Workshop on Information Systems and Economics (WISE), Seoul, Korea, 2017

INFORMS Annual Meeting, Houston, TX, 2017

Conference on Information Systems and Technology (CIST), Houston, TX, 2017

International Conference in Information Systems (ICIS), Dublin, Ireland, 2016

Workshop on Information Systems and Economics (WISE), Dublin, Ireland, 2016

Conference on Information Systems and Technology (CIST), Houston, TX, 2016

INFORMS Annual Meeting, Nashville, TN, 2016

INFORMS Annual Meeting, Philadelphia, PA, 2015

Conference on Information Systems and Technology (CIST), Philadelphia, PA, 2015

Conference/Workshop Publications

Shunyuan Zhang, Nitin Mehta, Param Vir Singh, Kannan Srinivasan,2018, "Can Bad Images Lead to Greater Demand on Airbnb?," INFORMS Marketing Science Conference ,Philadelphia, PA.

Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan,2018, "How Much is an Image Worth? Airbnb Property Demand Analytics Leveraging A Scalable Image Classification Algorithm," INFORMS Marketing Science Conference ,Philadelphia, PA.

Shunyuan Zhang, Param Vir Singh, Anindya Ghose, 2015, "Analyzing the Role of Superstars in Crowdsourcing Contests: A Structural Model," Conference on Information Systems and Technology (CIST), Philadelphia, PA.

Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan, 2016, “How Much Is An Image Worth? An Empirical Analysis of Property’s Image Aesthetic Quality on Demand at AirBNB”, International Conference in Information Systems (ICIS), Dublin, Ireland.

Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan, 2016, “Professional versus Amateur Images: Investigating Differential Impact on Airbnb Property Demand”, Conference on Information Systems and Technology (CIST), Nashville, TN. [Winner Best Student Paper Award at CIST 2016]

Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan, 2016, "Image Feature Extraction and Demand Estimation on Airbnb: A Deep Learning Approach", Workshop on Information Systems and Economics (WISE), Dublin, Ireland.

Shunyuan Zhang,Dokyun Lee, Param Vir Singh, Tridas Mukhopadhyay, 2017,"The Sharing Effects of Sharing Economy: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft," Conference on Information Systems and Technology (CIST), Houston, TX.

Shunyuan Zhang,Dokyun Lee, Param Vir Singh, Tridas Mukhopadhyay, 2017,"Analyzing the Demand Interaction in Sharing Economy", Workshop on Information Systems and Economics (WISE), Seoul, Korea.

 

Awards, Fellowships and Grants

ISMS Doctoral Consortium Fellow, 2018

Dipankar and Sharmila Chakravarti Doctoral Award, 2018

Adobe Data Science Research Awards, 2017

ISMS Doctoral Consortium Fellow, 2017

Winner of Best Student Paper at CIST, 2016

Dean's Research Fund, 2016

William Larimer Mellon Fellowship, Carnegie Mellon University, 2014-2019

 

Programming Skills

Matlab, Python, SQL, PHP, R, STATA

 

Teaching Experience

Instructor

Pricing Strategy (Undergraduate), Tepper School of Business, 2018 (scheduled in the fall semester)

Teaching Assistant

Pricing Strategy (Undergraduate), Tepper School of Business, by Kaifu Zhang, 2016

Pricing Strategy (MBA), Tepper School of Business, by Kaifu Zhang, 2016

Digital Marketing and Social Media Strategy (MBA), Tepper School of Business, by Param Vir Singh, 2017

Topics in Deep Learning (Graduate), School of Computer Science (Machine Learning Department), by Ruslan Salakhutdinov, 2017

Modern Data Management (MBA), Tepper School of Business, by Tridas Mukhopadhyay, 2018

Strategic Information Technology (MBA), Tepper School of Business, by Tridas Mukhopadhyay, 2014

 

Education

Bachelor of Science in Physics, 2008,  University of Science and Technology of China

PhD in Physics, 2014, Department of Physics and Astronomy, Purdue University

PhD Student in Business Technologies, 2014- , Tepper School of Business, Carnegie Mellon University.

acesso gratis