Network Topic Detection Model Based on Text Reconstructions. - Zhenfang Zhu; Peipei Wang 001; Zhiping Jia; Hairong Xiao; Guangyuan Zhang; Hao Liang (Informatica (Slovenia), 2013)

A recommendation algorithm based on density peak clustering and key users. - Peipei Wang 001; 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 001; Ru Wang 001; Wenfeng Liu (CSCWD, 2018)

Research of Social Network Information Transmission Based on User Influence. - Zhenfang Zhu; Peipei Wang 001; Peiyu Liu 001; Fei Wang (ICIC (3), 2018)

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. - Peipei Wang 001; Lin Li 001; Yi Yu; Guandong Xu (CoRR, 2019)

Influence Maximization in Social Network Considering Memory Effect and Social Reinforcement Effect. - Fei Wang; Zhenfang Zhu; Peiyu Liu 001; Peipei Wang 001 (Future Internet, 2019)

An Empirical Study on Ensemble Learning of Multimodal Machine Translation. - Liang Tan; Lin Li 001; Yifeng Han; Dong Li; Kaixi Hu; Dong Zhou 001; Peipei Wang 001 (BigMM, 2020)

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

BERT-based Aggregative Group Representation for Group Recommendation. - Peipei Wang 001; Lin Li 001 (BESC, 2021)

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

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

Complexity-based attentive interactive student performance prediction for personalized course study planning. - Peipei Wang 001; 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 001; 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 001; 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 001; 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 001; 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 001; Lin Li 001; Peiyu Liu 001 (CSCWD, 2023)

Hyperbolic Mutual Learning for Bundle Recommendation. - Haole Ke; Lin Li 001; Peipei Wang 001; Jingling Yuan; Xiaohui Tao 001 (DASFAA (2), 2023)

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

Tree-Like Interaction Learning for Bundle Recommendation. - Haole Ke; Lin Li 001; Peipei Wang 001; Jingling Yuan; Xiaohui Tao 001 (ICASSP, 2023)

Code-Enhanced Fine-Grained Semantic Matching For Tag Recommendation In Software Information Sites. - Lin Li 001; Peipei Wang 001; Xinhao Zheng; Qing Xie 002 (ICASSP, 2023)

Dual-interactive fusion for code-mixed deep representation learning in tag recommendation. - Lin Li 001; Peipei Wang 001; Xinhao Zheng; Qing Xie 002; Xiaohui Tao 001; Juan D. Velásquez 001 (Inf. Fusion, 2023)

Joint Extraction of Entities and Relationships from Cyber Threat Intelligence based on Task-specific Fourier Network. - Haiqing Lv; Xiaohui Han; Hui Cui 004; Peipei Wang 001; Wenbo Zuo; Yang Zhou (IJCNN, 2024)

Joint Entity and Relation Extraction Based on Prompt Learning and Multi-channel Heterogeneous Graph Enhancement. - Haiqing Lv; Xiaohui Han; Peipei Wang 001; Wenbo Zuo; Jing Guo; Lijuan Xu 001 (ISPA, 2024)

PTGFI: A Prompt-Based Two-Stage Generative Framework for Function Name Inference. - Menglu Wang; Xiaohui Han; Peipei Wang 001; Wenbo Zuo (SMC, 2024)

A Survey on Bundle Recommendation: Methods, Applications, and Challenges. - Meng Sun; Lin Li 001; Ming Li 072; Xiaohui Tao 001; Dong Zhang; Peipei Wang 001; Jimmy Xiangji Huang (CoRR, 2024)

Enhancing Multi-turn Dialogue Consistency with Localized-Generalized Persona Expansion. - Xiaohua Wu; Yanbing Chen; Xiaohui Tao 001; Peipei Wang 001; Lin Li 001 (DASFAA (2), 2025)

Multi-Relational Variational Contrastive Learning for Next POI Recommendation. - Lin Chen; Peipei Wang 001; Xiaohui Han; Lijuan Xu 001 (ICASSP, 2025)

Semantic-Aware Prompt Learning for Multimodal Sarcasm Detection. - Guangjin Wang; Bao Wang 005; Fuyong Xu; Zhenfang Zhu; Peipei Wang 001; Ru Wang 001; Peiyu Liu 001 (ICASSP, 2025)

A Survey on Bundle Recommendation: Methods, Applications, and Challenges. - Meng Sun; Lin Li 001; Ming Li 072; Xiaohui Tao 001; Dong Zhang; Qing Xie 002; Peipei Wang 001; Jimmy Xiangji Huang (ACM Comput. Surv., 2026)