About me
Hey! This is Jianping, or call me Mike! I’m currently a PhD student in AMSC (Applied Math & Statistics, and Scientific Computation) at University of Maryland, College Park, advised by Prof.Michel Wedel. I am concentrating on applying cutting-edge machine learning models to marketing. Before UMD, I was an undergrduate at UCLA, majoring in Applied Math with a concentration in scientific computing and a minor in bioinformatics. I was fortunate to work with Prof.Samy Wu Fung on distributed optimization algorithms and Prof.Chenfanfu Jiang and his group on physics-based simulations in computer graphics.
Interests
- Machine Learning for Marketing and Advertising
- Eye-tracking Modeling
- Statistics and Data Science
Recent News
- 01/23/2025: We submitted our paper IPGO: Indirect Prompt Gradient Optimization on Text-to-Image Generative Models with High Data Efficiency to ICML 2025! Thanks to Michel Wedel and Kunpeng Zhang for the guidance!
- 12/23/2024: Our extended abstract SIGN: A Statistically-Informed Gaze Network for Gaze Time Prediction is accepted by Gaze Meets Computer Vision (GACV) Workshop at WACV 2025. Thanks to Michel Wedel for the guidance!
- 11/01/2024: Our preprint Contextual Advertising with Theory-Informed Machine Learning is available on SSRN. Thanks to Michel Wedel and Rik Pieters for the guidance!
Talks
- (Upcoming 03-04-2025) SIGN: A Statistically-Informed Gaze Network for Gaze Time Prediction, GMCV workshop at WACV 2025.
- (02-26-2025) Contextual Advertising with Theory-Informed Machine Learning, Quant Lunch Seminar, Robert Smith School of Business at University of Maryland, College Park.
Awards
- 02/25/2025: Faculty-Student Research Award, University of Maryland, College Park
- 10/05/2023: Marketing Science Institute (MSI) Research Grant
- 02/25/2021: Undergraduate Research Fellowship (top 10%), University of California, Los Angeles