A recommendation algorithm based on density peak clustering and key users. - Peipei Wang; Peiyu Liu 001; Ru Wang 001; Zhen-fang Zhu (ICNC-FSKD, 2017)

Recommendation Algorithm Based on Multi-Label Clustering and Core Users. - Peiyu Liu 001; Peipei Wang; Ru Wang 001; Wenfeng Liu (CSCWD, 2018)

Feature-aware unsupervised learning with joint variational attention and automatic clustering. - Ru Wang 001; Lin Li 001; Peipei Wang; Xiaohui Tao 001; Peiyu Liu 001 (ICPR, 2020)

Triple Tag Network for Aspect-Level Sentiment Classification. - Guangtao Xu; Peiyu Liu 001; Zhenfang Zhu; Ru Wang 001; Fuyong Xu; Dun Jin (ICONIP (6), 2021)

Trio-based collaborative multi-view graph clustering with multiple constraints. - Ru Wang 001; Lin Li 001; Xiaohui Tao 001; Xiao Dong; Peipei Wang; Peiyu Liu 001 (Inf. Process. Manag., 2021)

Socially-driven multi-interaction attentive group representation learning for group recommendation. - Peipei Wang; Lin Li 001; Ru Wang 001; Guandong Xu; Jianwei Zhang 002 (Pattern Recognit. Lett., 2021)

Improving Persona Understanding for Persona-based Dialogue Generation with Diverse Knowledge Selection. - Yuanying Wang; Fuyong Xu; Ru Wang 001; Zhenfang Zhu; Peiyu Liu 001; Ran Lu (ICPR, 2022)

Diverse dialogue generation by fusing mutual persona-aware and self-transferrer. - Fuyong Xu; Guangtao Xu; Yuanying Wang; Ru Wang 001; Qi Ding; Peiyu Liu 001; Zhenfang Zhu (Appl. Intell., 2022)

Complexity-based attentive interactive student performance prediction for personalized course study planning. - Peipei Wang; Lin Li 001; Ru Wang 001; Yifan Xie; Jianwei Zhang 002 (Educ. Inf. Technol., 2022)

Learning persona-driven personalized sentimental representation for review-based recommendation. - Peipei Wang; Lin Li 001; Ru Wang 001; Xinhao Zheng; Jiaxi He; Guandong Xu (Expert Syst. Appl., 2022)

Social dual-effect driven group modeling for neural group recommendation. - Peipei Wang; Lin Li 001; Qing Xie 002; Ru Wang 001; Guandong Xu (Neurocomputing, 2022)

Contrastive and attentive graph learning for multi-view clustering. - Ru Wang 001; Lin Li 001; Xiaohui Tao 001; Peipei Wang; Peiyu Liu 001 (Inf. Process. Manag., 2022)

Deep boundary-aware clustering by jointly optimizing unsupervised representation learning. - Ru Wang 001; Lin Li 001; Peipei Wang; Xiaohui Tao 001; Peiyu Liu 001 (Multim. Tools Appl., 2022)

Community Detection with Graph Convolutional Auto-Encoder and Deep Clustering. - Ru Wang 001; Peipei Wang; Lin Li 001; Peiyu Liu 001 (CSCWD, 2023)

Query2Trip: Dual-Debiased Learning for Neural Trip Recommendation. - Peipei Wang; Lin Li 001; Ru Wang 001; Xiaohui Tao 001 (DASFAA (2), 2023)

C3BR: Category-Aware Cross-View Contrastive Learning Framework for Bundle Recommendation. - Fuyong Xu; Zhenfang Zhu; Peiyu Liu 001; Ru Wang 001 (DASFAA (Workshops), 2023)

Information Aggregate and Sentiment Enhance Network to Handle Missing Modalities for Multimodal Sentiment Analysis. - Liang Shi; Fuyong Xu; Ru Wang 001; Yongqing Wei; Guangjin Wang; Bao Wang; Peiyu Liu 001 (ICME, 2024)

Domain-consistent syntactic representation for cross-domain aspect sentiment triplet extraction. - Guangjin Wang; Bao Wang; Fuyong Xu; Ru Wang 001; Zhenfang Zhu; Peiyu Liu 001 (Expert Syst. Appl., 2024)

Collaborative denoised graph contrastive learning for multi-modal recommendation. - Fuyong Xu; Zhenfang Zhu; Yixin Fu; Ru Wang 001; Peiyu Liu 001 (Inf. Sci., 2024)

Semantic-Aware Prompt Learning for Multimodal Sarcasm Detection. - Guangjin Wang; Bao Wang; Fuyong Xu; Zhenfang Zhu; Peipei Wang; Ru Wang 001; Peiyu Liu 001 (ICASSP, 2025)