activity
20192025
most citedHS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation

54 citations · 286 across the 25 of their papers we have counts for

collaborators
Showing 2023Show all

11 papers · 1 filter

cs.IR2023★ 17 cited

Attribute-driven Disentangled Representation Learning for Multimodal Recommendation

Zhenyang Li, Fan Liu, Yinwei Wei +3

Recommendation algorithms forecast user preferences by correlating user and item representations derived from historical interaction patterns. In pursuit of enhanced performance, m…

cs.IR2023★ 2 cited

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation

Yunshan Ma, Yingzhi He, Xiang Wang +4

Bundle recommendation seeks to recommend a bundle of related items to users to improve both user experience and the profits of platform. Existing bundle recommendation models have…

cs.IR2023★ 1 cited

Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction

Yunshan Ma, Xiaohao Liu, Yinwei Wei +3

Automatic bundle construction is a crucial prerequisite step in various bundle-aware online services. Previous approaches are mostly designed to model the bundling strategy of exis…

cs.MM2023★ 53 cited

Target-Guided Composed Image Retrieval

Haokun Wen, Xian Zhang, Xuemeng Song +2

Composed image retrieval (CIR) is a new and flexible image retrieval paradigm, which can retrieve the target image for a multimodal query, including a reference image and its corre…

cs.IR2023★ 2 cited

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation

Wei Ji, Xiangyan Liu, An Zhang +3

Multi-modal recommendation systems, which integrate diverse types of information, have gained widespread attention in recent years. However, compared to traditional collaborative f…

cs.CL2023

General Debiasing for Multimodal Sentiment Analysis

Teng Sun, Juntong Ni, Wenjie Wang +3

Existing work on Multimodal Sentiment Analysis (MSA) utilizes multimodal information for prediction yet unavoidably suffers from fitting the spurious correlations between multimoda…

cs.CV2023

StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning

Peiguang Jing, Xianyi Liu, Ji Wang +3

Emotion distribution learning has gained increasing attention with the tendency to express emotions through images. As for emotion ambiguity arising from humans' subjectivity, subs…

cs.CL2023

Revisiting Conversation Discourse for Dialogue Disentanglement

Bobo Li, Hao Fei, Fei Li +5

Dialogue disentanglement aims to detach the chronologically ordered utterances into several independent sessions. Conversation utterances are essentially organized and described by…

cs.CL2023

Dual Semantic Knowledge Composed Multimodal Dialog Systems

Xiaolin Chen, Xuemeng Song, Yinwei Wei +2

Textual response generation is an essential task for multimodal task-oriented dialog systems.Although existing studies have achieved fruitful progress, they still suffer from two c…

cs.MM2023★ 8 cited

Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation

Xiao Wang, Tian Gan, Yinwei Wei +3

The last decade has witnessed the proliferation of micro-videos on various user-generated content platforms. According to our statistics, around 85.7\% of micro-videos lack annotat…

cs.IR2023★ 54 cited

HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation

Han Liu, Yinwei Wei, Jianhua Yin +1

An efficient solution to the large-scale recommender system is to represent users and items as binary hash codes in the Hamming space. Towards this end, existing methods tend to co…