164 citations · 168 across the 3 of their papers we have counts for
3 papers
cs.CE2018★ 4 cited
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning
Ran Zhao, Yuntian Deng, Mark Dredze +3
Technical and fundamental analysis are traditional tools used to analyze individual stocks; however, the finance literature has shown that the price movement of each individual sto…
cs.CL2017★ 164 cited
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
Tiancheng Zhao, Ran Zhao, Maxine Eskenazi
While recent neural encoder-decoder models have shown great promise in modeling open-domain conversations, they often generate dull and generic responses. Unlike past work that has…
cs.CL2016
Leveraging Recurrent Neural Networks for Multimodal Recognition of Social Norm Violation in Dialog
Tiancheng Zhao, Ran Zhao, Zhao Meng +1
Social norms are shared rules that govern and facilitate social interaction. Violating such social norms via teasing and insults may serve to upend power imbalances or, on the cont…