Collaborative Probability Metric Learning. - Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (APWeb/WAIM (1), 2018)

Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. - Yingpeng Du; Hongzhi Liu 001; Zhonghai Wu; Xing Zhang 002 (ICDM, 2018)

Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. - Yingpeng Du; Hongzhi Liu 001; Yuanhang Qu; Zhonghai Wu (PRICAI (1), 2018)

Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. - Yuanhang Qu; Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (PRICAI, 2018)

Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. - Zekai Wang; Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu; Xing Zhang 002 (IJCAI, 2019)

AEM: Attentional Ensemble Model for personalized classifier weight learning. - Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (Pattern Recognit., 2019)

Relation-Aware Neighborhood Matching Model for Entity Alignment. - Yao Zhu 002; Hongzhi Liu 001; Zhonghai Wu; Yingpeng Du (AAAI, 2021)

Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation. - Yingpeng Du; Hongzhi Liu 001; Zhonghai Wu (ECML/PKDD (2), 2021)

IFSpard: An Information Fusion-based Framework for Spam Review Detection. - Yao Zhu 002; Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (WWW, 2021)

M3-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation. - Yingpeng Du; Hongzhi Liu 001; Zhonghai Wu (DASFAA (2), 2022)

Generalized Ambiguity Decomposition for Ranking Ensemble Learning. - Hongzhi Liu 001; Yingpeng Du; Zhonghai Wu (J. Mach. Learn. Res., 2022)

Sequential Hypergraph Convolution Network for Next Item Recommendation. - Jiaxing Chen; Hongzhi Liu 001; Yingpeng Du; Zekai Wang; Yang Song 021; Zhonghai Wu (DASFAA (2), 2023)

Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. - Jiaxing Chen; Hongzhi Liu 001; Hongrui Guo; Yingpeng Du; Zekai Wang; Yang Song 021; Zhonghai Wu (ICDM, 2023)

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. - Yingpeng Du; Di Luo; Rui Yan 001; Hongzhi Liu 001; Yang Song 021; Hengshu Zhu; Jie Zhang 002 (CoRR, 2023)

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. - Wenxuan Zhang 002; Hongzhi Liu 001; Yingpeng Du; Chen Zhu 003; Yang Song 021; Hengshu Zhu; Zhonghai Wu (CoRR, 2023)

Sequential ensemble learning for next item recommendation. - Yingpeng Du; Hongzhi Liu 001; Yang Song 021; Zekai Wang; Zhonghai Wu (Knowl. Based Syst., 2023)

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. - Yingpeng Du; Di Luo; Rui Yan 001; Xiaopei Wang; Hongzhi Liu 001; Hengshu Zhu; Yang Song 021; Jie Zhang 002 (AAAI, 2024)

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. - Wenxuan Zhang 002; Hongzhi Liu 001; Zhijin Dong; Yingpeng Du; Chen Zhu 003; Yang Song 021; Hengshu Zhu; Zhonghai Wu (APWeb/WAIM (1), 2024)

Disentangled Multi-interest Representation Learning for Sequential Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Yining Ma 001; Hongzhi Liu 001; Jie Zhang 002 (KDD, 2024)

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. - Youchen Sun; Zhu Sun 001; Yingpeng Du; Jie Zhang 002; Yew Soon Ong (KDD, 2024)

Unified Denoising Training for Recommendation. - Haoyan Chua; Yingpeng Du; Zhu Sun 001; Ziyan Wang; Jie Zhang 002; Yew-Soon Ong (RecSys, 2024)

Large Language Model with Graph Convolution for Recommendation. - Yingpeng Du; Ziyan Wang; Zhu Sun 001; Haoyan Chua; Hongzhi Liu 001; Zhonghai Wu; Yining Ma 001; Jie Zhang 002; Youchen Sun (CoRR, 2024)

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. - Yingpeng Du; Zhu Sun 001; Ziyan Wang; Haoyan Chua; Jie Zhang 002; Yew-Soon Ong (AAAI, 2025)

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. - Ziyan Wang; Yingpeng Du; Zhu Sun 001; Haoyan Chua; Kaidong Feng; Wenya Wang 001; Jie Zhang 002 (AAAI, 2025)

Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. - Youchen Sun; Zhu Sun 001; Yingpeng Du; Jie Zhang 002; Yew Soon Ong (WWW, 2025)

Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization. - Hongxu Wang; Zhu Sun 001; Yingpeng Du; Lu Zhang 063; Tiantian He 001; Yew-Soon Ong (CoRR, 2025)

Reinforcement Speculative Decoding for Fast Ranking. - Yingpeng Du; Tianjun Wei; Zhu Sun 001; Jie Zhang 002 (CoRR, 2025)

Quasi-Metric Learning for Bilateral Person-Job Fit. - Yingpeng Du; Hongzhi Liu 001; Hengshu Zhu; Yang Song 021; Zhi Zheng 008; Zhonghai Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation. - Ziyan Wang; Yingpeng Du; Zhu Sun 001; Jieyi Bi; Haoyan Chua; Tianjun Wei; Jie Zhang 002 (CoRR, 2025)