Search Results for author: GuangNeng Hu

Found 5 papers, 2 papers with code

LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text

no code implementations17 Apr 2018 GuangNeng Hu, Yu Zhang, Qiang Yang

By modeling content information as local memories, LCMR attentively learns what to exploit with the guidance of user-item interaction.

Collaborative Filtering Recommendation Systems

TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation

no code implementations EACL 2021 GuangNeng Hu, Qiang Yang

To take advantage of the existing corpus, we propose a transfer learning model (dubbed as TrNews) for news recommendation to transfer the knowledge from a source corpus to a target corpus.

Cross-corpus News Recommendation +1

Dual Side Deep Context-aware Modulation for Social Recommendation

1 code implementation16 Mar 2021 Bairan Fu, Wenming Zhang, GuangNeng Hu, Xinyu Dai, ShuJian Huang, Jiajun Chen

Specifically, we first proposed a novel graph neural network to model the social relation and collaborative relation, and on top of high-order relations, a dual side deep context-aware modulation is introduced to capture the friends' information and item attraction.

Relation

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA

1 code implementation21 Dec 2023 Chengen Lai, Shengli Song, Shiqi Meng, Jingyang Li, Sitong Yan, GuangNeng Hu

To address the above issues, we propose a novel self-supervised \textbf{M}ulti-level \textbf{C}ontrastive \textbf{L}earning based natural language \textbf{E}xplanation model (MCLE) for VQA with semantic-level, image-level, and instance-level factual and counterfactual samples.

Contrastive Learning counterfactual +3

Cannot find the paper you are looking for? You can Submit a new open access paper.