Yingpeng Du

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Item Recommendation

Dirichlet Prior

Ranking Algorithm

Information Bottleneck

Top Venues

Publications

Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD (2024)
Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD (2024)
Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun
Large Language Model with Graph Convolution for Recommendation. CoRR (2024)
Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI (2024)
Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. CoRR (2024)
Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu
Sequential ensemble learning for next item recommendation. Knowl. Based Syst. 277 (2023)
Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu
Sequential Hypergraph Convolution Network for Next Item Recommendation. DASFAA (2) (2023)
Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. CoRR (2023)
Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR (2023)
Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu
Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. ICDM (2023)
Hongzhi Liu, Yingpeng Du, Zhonghai Wu
Generalized Ambiguity Decomposition for Ranking Ensemble Learning. J. Mach. Learn. Res. 23 (2022)
Yingpeng Du, Hongzhi Liu, Zhonghai Wu
-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation. DASFAA (2) (2022)
Yingpeng Du, Hongzhi Liu, Zhonghai Wu
Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation. ECML/PKDD (2) (2021)
Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du
Relation-Aware Neighborhood Matching Model for Entity Alignment. AAAI (2021)
Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu
IFSpard: An Information Fusion-based Framework for Spam Review Detection. WWW (2021)
Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du
Relation-Aware Neighborhood Matching Model for Entity Alignment. CoRR (2020)
Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. IJCAI (2019)
Hongzhi Liu, Yingpeng Du, Zhonghai Wu
AEM: Attentional Ensemble Model for personalized classifier weight learning. Pattern Recognit. 96 (2019)
Yingpeng Du, Hongzhi Liu, Yuanhang Qu, Zhonghai Wu
Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. PRICAI (1) (2018)
Yuanhang Qu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu
Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. PRICAI (2018)
Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang
Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. ICDM (2018)
Hongzhi Liu, Yingpeng Du, Zhonghai Wu
Collaborative Probability Metric Learning. APWeb/WAIM (1) (2018)