Yaochen Zhu

LLM4Rec. (WWW'24 + LinkedIn) The first RS that tightly combines LLM with ID-based RS

Rank-GRPO. (ICLR'26 + Netflix) Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning

MMVED. (WWW'20) Official codes of paper "multimodal deep variational information bottleneck for micro-video popularity prediction".

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

Deep-Deconf. Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)

CRAG. (WWW'25 + Netflix) The first CRS that retrieves collaborative filtering knowledge with two-step context-aware reflection.

VBAE. (TKDE'22) Official codes of "Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems".

awesome-books-for-causality. Books and posts to understand Pearl and Rubin's view on causality and their disputes.

PSF-VAE. (KDD'23) Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)".

MMDQEN. Multimodal deep quality embedding network (MMDQEN) for affective video content analysis. (MM'19, TAFFC'20)

MD-CVAE. Official codes of "Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems" (WWW'22)

CVAE. Re-implementation of collaborative variational auto-encoder (CVAE) in tensorflow.keras. (KDD'17, Li & She)

CRAVE. Python

Mult_DPO. A new direct preference optimization algorithm that simultaneously align LLM with multiple positive and negative responses

CiVAE. Python

awesome-causality-algorithms. An index of algorithms for learning causality with data