activity
20192025
most citedA Review-aware Graph Contrastive Learning Framework for Recommendation

169 citations · 293 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 7 cited

LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching

Kun Zhang, Guangyi Lv, Le Wu +3

Sentence semantic matching requires an agent to determine the semantic relation between two sentences, which is widely used in various natural language tasks, such as Natural Langu…

cs.CL2021

DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching

Kun Zhang, Guangyi Lv, Meng Wang +1

Sentence semantic matching requires an agent to determine the semantic relation between two sentences, where much recent progress has been made by the advancement of representation…

cs.IR2021

Privileged Graph Distillation for Cold Start Recommendation

Shuai Wang, Kun Zhang, Le Wu +3

The cold start problem in recommender systems is a long-standing challenge, which requires recommending to new users (items) based on attributes without any historical interaction…

cs.IR2021★ 1 cited

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation

Lei Chen, Le Wu, Kun Zhang +2

As users often express their preferences with binary behavior data~(implicit feedback), such as clicking items or buying products, implicit feedback based Collaborative Filtering~(…

cs.IR2021★ 1 cited

Learning Fair Representations for Recommendation: A Graph-based Perspective

Le Wu, Lei Chen, Pengyang Shao +3

As a key application of artificial intelligence, recommender systems are among the most pervasive computer aided systems to help users find potential items of interests. Recently,…