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

54 citations · 120 across the 10 of their papers we have counts for

collaborators

10 papers

cs.IR20231 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.MM202353 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.IR20232 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…