My name is Zhaoqi Cheng, or 程兆祺 written in Chinese. I am a third year PhD student in Business Technology and Marketing at the Tepper School of Carnegie Mellon University. I work with my advisor Dokyun Lee at the BIT Lab.
Methodologically, I combine machine learning with econometrics models to explore large-scale data with text-heavy attributes, such as patent files, online forums and user reviews. I am currently working as an RA at the Wharton School on deep generative models related to the representation and characterization of patented innovations.
Interested in my research or in collaborating? Feel free to drop me an email at firstname.lastname@example.org.
Do AIs Dream of Innovation? Exploration Through Generative Model of Patents
Zhaoqi Cheng, Dokyun Lee, Prasanna Tambe
Accepted by CIST, INFORMS 2020
Do Aggressive Comments Bring Better Questions? Evidence from Stack Overflow
Zhaoqi Cheng, Dokyun Lee, Tridas Mukhopadhyay
Presented at DMDA & Data Science workshops, INFORMS 2019
FCM: Interpretable Deep Learning for Text Exploration
Dokyun Lee, Emaad Manzoor, Zhaoqi Cheng (firstname α-β)
Under review at Marketing Science [preprint]
Awards and Grants
[2020/06]Google Cloud Platform credits for research (Co-PI, $5,000)
[2019/09]CMU GSA/Provost Conference Funding (Group member, $1,500)
[2018/11]Marketing Science Institute Research Grant (Co-PI, $10,000)
[45-830]TA for Marketing Research (MBA course). Instructor: Jeff Galak
[45-881/46-884]TA for Modern Data Management (MBA/MSBA course). Instructor: Yan Huang
[73-374]TA for Econometrics II (Undergrad course). Instructor: David Childers
[45-884]TA for Mining Unstructured Data (MBA course). Instructor: Dokyun Lee