Research

Publications

Liu Liu, Daria Dzyabura, and Natalie Mizik (2020), "Visual Listening In: Extracting Brand Image Portrayed on Social Media," Marketing Science 39(4): 669-686.
- John D.C. Little Award Finalist, 2020
- Frank M. Bass Best Dissertation-Based Paper Award Finalist, 2020
- Lead article
- Featured in ISMS press release (August 6, 2020)
- Earlier version included in Marketing Science Institute Working Paper Series 2020, Report No.20-113
Linda Hagen, Kosuke Uetake, Nathan Yang, Bryan Bollinger, Allison Chaney, Daria Dzyabura, Jordan Etkin, Avi Goldfarb, Liu Liu, K. Sudhir, YanwenWang, JamesWright, and Ying Zhu (2020), "How Can Machine Learning Aid Behavioral Marketing Research?" Marketing Letters, 31(4), 361-370
Liu Liu, Daria Dzyabura, and Natalie Mizik (2018), "Visual Listening In: Extracting Brand Image Portrayed on Social Media," Proceedings of the Thirty-Second AAAI Conference on Articial Intelligence, February 2018
Liu Liu, Jack Mostow, and Gregory Aist (2013), "Generating Example Contexts to Help Children Learn Word Meaning," Journal of Natural Language Engineering, 19.02: 187-212
Ni Lao, Jun Zhu, Liu Liu, Yandong Liu, and William W. Cohen (2010), "Efficient Relational Learning with Hidden Variable Detection," In Advances in Neural Information Processing Systems (NIPS) (pp. 1234-1242)
Jing Zhang, Jie Tang, Liu Liu, and Juanzi Li (2008), "A Mixture Model for Expert Finding," Advances in Knowledge Discovery and Data Mining, 466-478.

Liu Liu and Daria Dyzabura, "Capturing Heterogeneity Among Consumers with Multi-taste Preferences", Revise and Resubmit, Marketing Science

“Visual Elicitation of Consumer Preference,” with Shane Wang and Junming Yin

“Generative AI for Psychological Research,” with Nick Reinholtz

“LLMs and Marketing Narratives,” with Samsun Knight and Laura Kornish

“Category Learning through Images: An Application to Movie Posters,” with Masakazu Ishiharaand Natasha Foutz