activity
20162021
most citedExploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks

147 citations · 432 across the 18 of their papers we have counts for

collaborators

27 papers

cs.IR202135 cited

CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation

Ruihong Qiu, Sen Wang, Zhi Chen +2

Visually-aware recommendation on E-commerce platforms aims to leverage visual information of items to predict a user's preference. It is commonly observed that user's attention to…

cs.IR2021147 cited

Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks

Ruihong Qiu, Zi Huang, Jingjing Li +1

Different from the traditional recommender system, the session-based recommender system introduces the concept of the session, i.e., a sequence of interactions between a user and m…

cs.CV2021

Enhanced Modality Transition for Image Captioning

Ziwei Wang, Yadan Luo, Zi Huang

Image captioning model is a cross-modality knowledge discovery task, which targets at automatically describing an image with an informative and coherent sentence. To generate the c…

cs.CV20203 cited

Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches

Zhi Chen, Sen Wang, Jingjing Li +1

Zero-shot learning (ZSL) is commonly used to address the very pervasive problem of predicting unseen classes in fine-grained image classification and other tasks. One family of sol…

cs.CV202038 cited

Adversarial Bipartite Graph Learning for Video Domain Adaptation

Yadan Luo, Zi Huang, Zijian Wang +2

Domain adaptation techniques, which focus on adapting models between distributionally different domains, are rarely explored in the video recognition area due to the significant sp…

cs.CV202039 cited

Progressive Graph Learning for Open-Set Domain Adaptation

Yadan Luo, Zijian Wang, Zi Huang +1

Domain shift is a fundamental problem in visual recognition which typically arises when the source and target data follow different distributions. The existing domain adaptation ap…