1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
SPRINT: Single-Step Generative Recommendation via Average Probability Velocity
Zhuo Cai, Shoujin Wang, Peilin Zhou +3
Semantic ID (SID) based generative recommendation represents each item as a sequence of discrete tokens, and recommends by generating the SID of the item a user would like to inter…
DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data
Xin Li, Jin Li, Shoujin Wang +2
Causal discovery from unstructured data is a challenging yet underexplored task in high-expertise domains such as healthcare, finance, and education. Existing methods typically lev…
Neural Federated Learning for Livestock Growth Prediction
Shoujin Wang, Mingze Ni, Wei Liu +6
Livestock growth prediction is essential for optimising farm management and improving the efficiency and sustainability of livestock production, yet it remains underexplored due to…
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
Jin Li, Huilin Gu, Shoujin Wang +5
Large Language Models (LLMs) have revolutionized Recommender Systems (RS) through advanced generative user modeling. However, LLM-based RS (LLM-RS) often inadvertently perpetuates…