Research
Publications
Liu Liu, Daria Dzyabura, and Natalie Mizik (2020), ","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), "?"Marketing Letters, 31(4), 361-370
Liu Liu, Daria Dzyabura, and Natalie Mizik (2018), ","Proceedings of the Thirty-Second AAAI Conference on Articial Intelligence, February 2018
Liu Liu, Jack Mostow, and Gregory Aist (2013), "," Journal of Natural Language Engineering, 19.02: 187-212
Ni Lao, Jun Zhu, Liu Liu, Yandong Liu, and William W. Cohen (2010), ","In Advances in Neural Information Processing Systems (NIPS) (pp. 1234-1242)
Jing Zhang, Jie Tang, Liu Liu, and Juanzi Li (2008), ","Advances in Knowledge Discovery and Data Mining,466-478.
Working papers
"Capturing Heterogeneity Among Consumers with Multi-taste Preferences," with Daria Dzyabura
“Emotion Sequence and Persuasive Stories: Evidence from Online Fundraising and LLM-Assisted Rewrites,” with Samsun Knight and Laura Kornish
"An Affine-Subspace Shrinkage Approach to Choice-Based Conjoint Estimation," with Yupeng Chen and Qi Yu
Work in progress
“Generative AI for Psychological Research,” with Samsun Knight and Nick Reinholtz
“Visual Elicitation of Consumer Preference,” with Shane Wang
“Category Learning through Images: An Application to Movie Posters,” with Alix Barasch, Paul Blythe, Natasha Foutz, and Masakazu Ishihara