Shicheng Wang — accepted AI-conference papers

2025

Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation

Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang +3

AAAI 2025technical

Personalized news recommendation aims to recommend candidate news to the target user. Since the data and knowledge involved in traditional recommender systems are restricted, recent studies utilize large language models (LLMs) to generate news articles and augment the original dataset. However, desp…

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2024

Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition

Gehang Zhang, Jiawei Sheng, Shicheng Wang, Tingwen Liu

ICASSP 2024accepted

Graph contrastive learning aims to learn a representative model by maximizing the agreement between different views of the same graph. Existing studies usually allow multifarious noise in data augmentation, and suffer from trivial and inconsistent generation of graph views. Moreover, they mostly imp…

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