Pinned Repositories
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-books-for-causality
Books and posts to understand Pearl and Rubin's view on causality and their disputes.
Deep-Deconf
Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
LLM4Rec
(WWW'24) The first RS that tightly combines LLM with ID-based RS.
MD-CVAE
Official codes of "Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems" (WWW'22)
MMDQEN
Multimodal deep quality embedding network (MMDQEN) for affective video content analysis. (MM'19, TAFFC'20)
MMVED
Official codes of paper "multimodal deep variational information bottleneck for micro-video popularity prediction". (WWW'20)
PSF-VAE
Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)". (KDD'23)
VBAE
Official codes of "Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems". (TKDE'22)
whu-rsie-master-thesis
武汉大学遥感信息工程学院硕士研究生毕业论文 LaTeX 模板
yaochenzhu's Repositories
yaochenzhu/LLM4Rec
(WWW'24) The first RS that tightly combines LLM with ID-based RS.
yaochenzhu/MMVED
Official codes of paper "multimodal deep variational information bottleneck for micro-video popularity prediction". (WWW'20)
yaochenzhu/Deep-Deconf
Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
yaochenzhu/whu-rsie-master-thesis
武汉大学遥感信息工程学院硕士研究生毕业论文 LaTeX 模板
yaochenzhu/VBAE
Official codes of "Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems". (TKDE'22)
yaochenzhu/awesome-books-for-causality
Books and posts to understand Pearl and Rubin's view on causality and their disputes.
yaochenzhu/MMDQEN
Multimodal deep quality embedding network (MMDQEN) for affective video content analysis. (MM'19, TAFFC'20)
yaochenzhu/PSF-VAE
Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)". (KDD'23)
yaochenzhu/MD-CVAE
Official codes of "Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems" (WWW'22)
yaochenzhu/CVAE
Re-implementation of collaborative variational auto-encoder (CVAE) in tensorflow.keras. (KDD'17, Li & She)
yaochenzhu/awesome-causality-algorithms
An index of algorithms for learning causality with data
yaochenzhu/PyGDebias
Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
yaochenzhu/web_page
my personal web page
yaochenzhu/yaochenzhu