activity
20192021
most citedBi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

18 citations · 21 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IR20212 cited

Multi-trends Enhanced Dynamic Micro-video Recommendation

Yujie Lu, Yingxuan Huang, Shengyu Zhang +4

The explosively generated micro-videos on content sharing platforms call for recommender systems to permit personalized micro-video discovery with ease. Recent advances in micro-vi…

cs.CL2021

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

Wei Han, Hui Chen, Soujanya Poria

In multimodal sentiment analysis (MSA), the performance of a model highly depends on the quality of synthesized embeddings. These embeddings are generated from the upstream process…

cs.AI202118 cited

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

Wei Han, Hui Chen, Alexander Gelbukh +3

Multimodal sentiment analysis aims to extract and integrate semantic information collected from multiple modalities to recognize the expressed emotions and sentiment in multimodal…

cs.CL20201 cited

Persuasive Dialogue Understanding: the Baselines and Negative Results

Hui Chen, Deepanway Ghosal, Navonil Majumder +2

Persuasion aims at forming one's opinion and action via a series of persuasive messages containing persuader's strategies. Due to its potential application in persuasive dialogue s…

cs.CL2019

UER: An Open-Source Toolkit for Pre-training Models

Zhe Zhao, Hui Chen, Jinbin Zhang +7

Existing works, including ELMO and BERT, have revealed the importance of pre-training for NLP tasks. While there does not exist a single pre-training model that works best in all c…