Teng Ye's Homepage

I am a PhD candidate in the School of Information at the University of Michigan, Ann Arbor. I work with Prof. Qiaozhu Mei in the Foreseer Group.

My research interests are in human-centered data science, where I couple data science techniques with social science insights to approach behavioral problems across individual, group, and societal levels. I use mixed methods including machine learning, big data analytics, field & lab experiment, causal inference, and survey. I have been passionate about a variety of application domains, such as data science for social good, computational social science, the sharing economy, crowdsourcing, healthcare, and social media. Here is my CV.

News:
I have been accepted as a spotlight speaker at Chicago CDAC Rising Stars in Data Science !

Publications

Referred Publications

Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, and Qiaozhu Mei. Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD '20), pp. 2368-2377, 2020.
Teng Ye, Rebecca Johnson, Samantha Fu, Jerica Copeny, Bridgit Donnelly, Alex Freeman, Mirian Lima, Joe Walsh, and Rayid Ghani. Using machine learning to help vulnerable tenants in New York city. In Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS' 19), pp. 248-258, 2019.
Teng Ye, Sangseok You, and Lionel P. Robert Jr. When does more money work? Examining the role of perceived fairness in pay on the performance quality of crowdworkers. In Proceedings of the 11th International AAAI Conference on Web and Social Media (ICWSM' 17), 2017.
Teng Ye and Lionel P. Robert Jr. Does collectivism inhibit individual creativity? The effects of collectivism and perceived diversity on individual creativity and satisfaction in virtual ideation teams. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW' 17), pp. 2344-2358, 2017.
Sangseok You, Teng Ye, and Lionel P. Robert Jr. Team potency and ethnic diversity in embodied physical action (EPA) robot-supported dyadic teams. In Proceedings of the 38th International Conference on Information Systems (ICIS '17), 2017.
Lionel P. Robert Jr, Teng Ye, Rasha Alahmad, and Casey Pierce. Effects of dispersion, electronic communication & transactive memory systems on team performance. In Proceedings of Academy of Management (AOM' 17), vol. 2017, no. 1, pp. 12320, 2017.
Teng Ye, Rasha Alahmad, Casey Pierce, and Lionel Robert. Race and rating on sharing economy platforms: The effect of race similarity and reputation on trust and booking intention in Airbnb. In Proceedings of the 38th International Conference on Information Systems (ICIS '17, Short Paper), 2017.
Teng Ye, Katharina Reinecke, and Lionel P. Robert Jr. Personalized feedback versus money: the effect on reliability of subjective data in online experimental platforms. In Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW' 17, Poster), pp. 343-346, 2017.
Guanghua Chen, Huizhang Shen, Teng Ye, Guangming Chen, and Naphtali Kerr. A kinetic model for the spread of rumor in emergencies. Discrete dynamics in nature and society, 2013.

Papers Under Review

Wei Ai, Yan Chen, Qiaozhu Mei, Jieping Ye, Teng Ye (Leading author), and Lingyu Zhang.
Virtual Teams in a Gig Economy: a Large-scale Field Experiment. Under review at a top-tier journal.

Honors and Awards

CDAC Rising Stars in Data Science, University of Chicago, 2021
Data Science for Social Good Fellowship, University of Chicago, 2018
(38 selected among 900+ applications)
Ph.D. Field Prelim Passed with Distinction, University of Michigan, 2016
Rackham Graduate Student Research Grant, University of Michigan, 2016
Shanghai Outstanding Graduate, Shanghai Jiao Tong University, 2013
(1 selected yearly in the Department of Information Systems and Management)
Shanghai Outstanding Student Scholarship, Shanghai Jiao Tong University, 2012
(2 selected yearly among 1,000+ students at Antai College of Economics and Management)

Grant Applications

(Funded) Post-pandemic Rejuvenation through Team Competition and Information Intervention, 2020
(Role: Graduate Student Researcher; PI: Yan Chen, Qiaozhu Mei)
(Funded) Improving Driver Performance and Retention by Team Competition, 2019
(Role: Graduate Student Researcher; PI: Yan Chen, Qiaozhu Mei)
(Funded) China Southern Airlines e-Platform Strategy Analysis, 2018
(Role: Graduate Student Researcher; PI: Qiaozhu Mei)
Trust, Fairness and Satisfaction in DiDi’s Digital Platform, 2017
(Role: Graduate Student Researcher; PI: Paul Resnick, Lionel Robert Jr.)
Incentive Distribution Strategy Based on Rider Retention Status and Lifetime Value, 2016
(Role: Graduate Student Researcher; PI: Yan Huang)

Industrial Experience

Didi Chuxing, AI Labs, Beijing, China, 09/2018 - 01/2020 & 06/2016 - 08/2016
Data Scientist Intern. Mentor: Jieping Ye.
eBay, Data & Data Infrastructure, Shanghai, China, 06/2013 - 10/2013
Business & System Analyst Intern. Mentor: Yueqin Cao.
Essence Securities, Industry Research Department, Shanghai, China, 04/2013 - 06/2013
Industry Analyst Intern. Mentors: Yang Liu, Fan Lin.