activity
20192023
most citedIMF: Interactive Multimodal Fusion Model for Link Prediction

104 citations · 113 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2023★ 3 cited

E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation

Xinhang Li, Chong Chen, Xiangyu Zhao +2

The recent advancements in Large Language Models (LLMs) have sparked interest in harnessing their potential within recommender systems. Since LLMs are designed for natural language…

cs.IR2023

OpenSiteRec: An Open Dataset for Site Recommendation

Xinhang Li, Xiangyu Zhao, Yejing Wang +5

As a representative information retrieval task, site recommendation, which aims at predicting the optimal sites for a brand or an institution to open new branches in an automatic d…

cs.AI2023★ 104 cited

IMF: Interactive Multimodal Fusion Model for Link Prediction

Xinhang Li, Xiangyu Zhao, Jiaxing Xu +2

Link prediction aims to identify potential missing triples in knowledge graphs. To get better results, some recent studies have introduced multimodal information to link prediction…

cs.LG2022★ 6 cited

Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment

Xinhang Li, Yong Zhang, Chunxiao Xing

Entity alignment aims at integrating heterogeneous knowledge from different knowledge graphs. Recent studies employ embedding-based methods by first learning the representation of…

cs.CV2019

DCA: Diversified Co-Attention towards Informative Live Video Commenting

Zhihan Zhang, Zhiyi Yin, Shuhuai Ren +2

We focus on the task of Automatic Live Video Commenting (ALVC), which aims to generate real-time video comments with both video frames and other viewers' comments as inputs. A majo…