Wei Zhang

According to our database, Wei Zhang authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning.

Hao Liao, Shuo Wang, Hao Cheng, Wei Zhang, Jiwei Zhang, Mingyang Zhou, Kezhong Lu, Rui Mao, Xing Xie

ACM Trans. Intell. Syst. Technol., February, 2025

2024

Uncovering milestone papers: A network diffusion and game theory approach.

Wei Zhang, Juyang Cao, Manuel Sebastian Mariani, Zhen-Zhen Wang, Mingyang Zhou, Wei Chen, Hao Liao

J. Informetrics, 2024

Exploring Loss Landscapes through the Lens of Spin Glass Theory.

Hao Liao, Wei Zhang, Zhanyi Huang, Zexiao Long, Mingyang Zhou, Xiaoqun Wu, Rui Mao, Chi Ho Yeung

CoRR, 2024

Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors.

Guanghua Li, Wensheng Lu, Wei Zhang, Defu Lian, Kezhong Lu, Rui Mao, Kai Shu, Hao Liao

CoRR, 2024

Aligning Large Language Models for Controllable Recommendations.

Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation.

Hao Liao, Sheng Bi, Jiao Wu, Wei Zhang, Mingyang Zhou, Rui Mao, Wei Chen

Proc. ACM Manag. Data, 2023

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.

Hao Liao, Jiaohao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie

CoRR, 2023

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.

Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning.

Hao Cheng, Wei Zhang, Shuo Wang, Hao Liao

Proceedings of the International Joint Conference on Neural Networks, 2023

Explainable Recommendation with Personalized Review Retrieval and Aspect Learning.

Hao Cheng, Shuo Wang, Wensheng Lu, Wei Zhang, Mingyang Zhou, Kezhong Lu, Hao Liao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023