collaborators

5 papers

cs.IR2026

CARD: Non-Uniform Quantization of Visual Semantic Unit for Generative Recommendation

Yibiao Wei, Jie Zou, Pengfei Zhang +4

Generative recommendation frameworks typically represent items as discrete Semantic IDs (SIDs). While existing studies have sought to enhance SID construction by incorporating mult…

cs.IR2026

Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering

Xiao Ao, Jie Zou, Yibiao Wei +2

In community question answering (cQA) platforms like Stack Overflow, related question retrieval is recognized as a fundamental task that allows users to retrieve related questions…

cs.CL2025

Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction

Peter Atandoh, Jie Zou, Weikang Guo +2

Sentiment analysis using deep learning and pre-trained language models (PLMs) has gained significant traction due to their ability to capture rich contextual representations. Howev…

cs.CL2025

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts

Jie Zou, Cheng Lin, Weikang Guo +4

Conversational recommender systems enable natural language conversations and thus lead to a more engaging and effective recommendation scenario. As the conversations for recommende…

cs.IR2025

MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems

Yibiao Wei, Jie Zou, Weikang Guo +3

Conversational Recommender Systems (CRSs) aim to provide personalized recommendations by interacting with users through conversations. Most existing studies of CRS focus on extract…