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20162021
most citedRethinking the Item Order in Session-based Recommendation with Graph Neural Networks

339 citations · 1.4k across the 32 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 3 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.CV2020★ 38 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.IR2020★ 105 cited

GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation

Ruihong Qiu, Hongzhi Yin, Zi Huang +1

Streaming session-based recommendation (SSR) is a challenging task that requires the recommender system to do the session-based recommendation (SR) in the streaming scenario. In th…

cs.CV2020★ 39 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…

cs.CV2020★ 3 cited

ORD: Object Relationship Discovery for Visual Dialogue Generation

Ziwei Wang, Zi Huang, Yadan Luo +1

With the rapid advancement of image captioning and visual question answering at single-round level, the question of how to generate multi-round dialogue about visual content has no…

cs.IR2020★ 9 cited

Try This Instead: Personalized and Interpretable Substitute Recommendation

Tong Chen, Hongzhi Yin, Guanhua Ye +3

As a fundamental yet significant process in personalized recommendation, candidate generation and suggestion effectively help users spot the most suitable items for them. Consequen…

cs.CL2020★ 127 cited

Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks

Shaoxiong Ji, Xue Li, Zi Huang +1

Mental health is a critical issue in modern society, and mental disorders could sometimes turn to suicidal ideation without effective treatment. Early detection of mental disorders…