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 email@example.com.
Can AI Innovate? An Interpretable Generative Model for Patents
Zhaoqi Cheng, Dokyun Lee, Prasanna Tambe
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 (third round) [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)
[CMU 45-830]TA for Marketing Research (MBA course). Instructor: Jeff Galak
[CMU 45-881]TA for Modern Data Management (MBA course). Instructor: Yan Huang
[CMU 46-884]TA for Advanced Modern Data Management (MSBA course). Instructor: Yan Huang