Explainable Recommendation with Personalized Review Retrieval and Aspect Learning. - Hao Cheng; Shuo Wang; Wensheng Lu; Wei Zhang 242; Mingyang Zhou 001; Kezhong Lu; Hao Liao (ACL (1), 2023)

Explainable Restaurant Closure Prediction through Co-Attentive Contrastive Learning. - Hao Cheng; Wei Zhang 242; Shuo Wang; Hao Liao (IJCNN, 2023)

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. - Hao Liao; Jiahao Peng; Zhanyi Huang; Wei Zhang 242; Guanghua Li; Kai Shu; Xing Xie 001 (KDD, 2023)

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. - Hao Liao; Jiaohao Peng; Zhanyi Huang; Wei Zhang 242; Guanghua Li; Kai Shu; Xing Xie 001 (CoRR, 2023)

Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation. - Hao Liao; Sheng Bi; Jiao Wu; Wei Zhang 242; Mingyang Zhou 001; Rui Mao 001; Wei Chen 013 (Proc. ACM Manag. Data, 2023)

Aligning Large Language Models for Controllable Recommendations. - Wensheng Lu; Jianxun Lian; Wei Zhang 242; Guanghua Li; Mingyang Zhou 001; Hao Liao; Xing Xie 001 (ACL (1), 2024)

Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors. - Guanghua Li; Wensheng Lu; Wei Zhang 242; Defu Lian; Kezhong Lu; Rui Mao 001; Kai Shu; Hao Liao (CoRR, 2024)

Exploring Loss Landscapes through the Lens of Spin Glass Theory. - Hao Liao; Wei Zhang 242; Zhanyi Huang; Zexiao Long; Mingyang Zhou 001; Xiaoqun Wu; Rui Mao 001; Chi Ho Yeung (CoRR, 2024)

Uncovering milestone papers: A network diffusion and game theory approach. - Wei Zhang 242; Juyang Cao; Manuel Sebastian Mariani; Zhen-Zhen Wang; Mingyang Zhou 001; Wei Chen 013; Hao Liao (J. Informetrics, 2024)

Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning. - Hao Liao; Shuo Wang; Hao Cheng; Wei Zhang 242; Jiwei Zhang 020; Mingyang Zhou 001; Kezhong Lu; Rui Mao 001; Xing Xie 001 (ACM Trans. Intell. Syst. Technol., 2025)