1.5k citations · 6k across the 75 of their papers we have counts for
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Multimodal Memory Modelling for Video Captioning
Junbo Wang, Wei Wang, Yan Huang +2
Video captioning which automatically translates video clips into natural language sentences is a very important task in computer vision. By virtue of recent deep learning technolog…
Instance-aware Image and Sentence Matching with Selective Multimodal LSTM
Yan Huang, Wei Wang, Liang Wang
Effective image and sentence matching depends on how to well measure their global visual-semantic similarity. Based on the observation that such a global similarity arises from a c…
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
Qiang Cui, Shu Wu, Qiang Liu +2
Sequential recommendation is a fundamental task for network applications, and it usually suffers from the item cold start problem due to the insufficiency of user feedbacks. There…
ICE: Information Credibility Evaluation on Social Media via Representation Learning
Qiang Liu, Shu Wu, Feng Yu +2
With the rapid growth of social media, rumors are also spreading widely on social media and bring harm to people's daily life. Nowadays, information credibility evaluation has draw…
Context-aware Sequential Recommendation
Qiang Liu, Shu Wu, Diyi Wang +2
Since sequential information plays an important role in modeling user behaviors, various sequential recommendation methods have been proposed. Methods based on Markov assumption ar…
Multi-behavioral Sequential Prediction with Recurrent Log-bilinear Model
Qiang Liu, Shu Wu, Liang Wang
With the rapid growth of Internet applications, sequential prediction in collaborative filtering has become an emerging and crucial task. Given the behavioral history of a specific…
A Comprehensive Survey on Cross-modal Retrieval
Kaiye Wang, Qiyue Yin, Wei Wang +2
In recent years, cross-modal retrieval has drawn much attention due to the rapid growth of multimodal data. It takes one type of data as the query to retrieve relevant data of anot…