1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2023
Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation
Liangliang Chen, Hongzhan Lin, Jinshan Ma +1
In the sequential recommendation task, the recommender generally learns multiple embeddings from a user's historical behaviors, to catch the diverse interests of the user. Neverthe…
cs.CL2022
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
Hongzhan Lin, Jing Ma, Liangliang Chen +3
Massive false rumors emerging along with breaking news or trending topics severely hinder the truth. Existing rumor detection approaches achieve promising performance on the yester…
cs.CL2021★ 1 cited
Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks
Hongzhan Lin, Jing Ma, Mingfei Cheng +3
Rumors are rampant in the era of social media. Conversation structures provide valuable clues to differentiate between real and fake claims. However, existing rumor detection metho…