11 citations · 21 across the 5 of their papers we have counts for
5 papers
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction
Thong Nguyen, Xiaobao Wu, Xinshuai Dong +4
Multimodal Review Helpfulness Prediction (MRHP) aims to rank product reviews based on predicted helpfulness scores and has been widely applied in e-commerce via presenting customer…
Improving the Inference of Topic Models via Infinite Latent State Replications
Daniel Rugeles, Zhen Hai, Juan Felipe Carmona +2
In text mining, topic models are a type of probabilistic generative models for inferring latent semantic topics from text corpus. One of the most popular inference approaches to to…
SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning
Wei Han, Hui Chen, Zhen Hai +2
With the boom of e-commerce, Multimodal Review Helpfulness Prediction (MRHP), which aims to sort product reviews according to the predicted helpfulness scores has become a research…
DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model
Yao Cheng, Chang Xu, Zhen Hai +1
Strong passwords are fundamental to the security of password-based user authentication systems. In recent years, much effort has been made to evaluate password strength or to gener…
Heron Inference for Bayesian Graphical Models
Daniel Rugeles, Zhen Hai, Gao Cong +1
Bayesian graphical models have been shown to be a powerful tool for discovering uncertainty and causal structure from real-world data in many application fields. Current inference…