Yingpeng Du

According to our database, Yingpeng Du authored at least 29 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation.

Ziyan Wang, Yingpeng Du, Zhu Sun, Jieyi Bi, Haoyan Chua, Tianjun Wei, Jie Zhang

CoRR, July, 2025

Quasi-Metric Learning for Bilateral Person-Job Fit.

Yingpeng Du, Hongzhi Liu, Hengshu Zhu, Yang Song, Zhi Zheng, Zhonghai Wu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Reinforcement Speculative Decoding for Fast Ranking.

Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang

CoRR, May, 2025

Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization.

Hongxu Wang, Zhu Sun, Yingpeng Du, Lu Zhang, Tiantian He, Yew-Soon Ong

CoRR, February, 2025

Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation.

Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong

Proceedings of the ACM on Web Conference 2025, 2025

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.

Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation.

Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Large Language Model with Graph Convolution for Recommendation.

Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu, Zhonghai Wu, Yining Ma, Jie Zhang, Youchen Sun

CoRR, 2024

Unified Denoising Training for Recommendation.

Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation.

Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Disentangled Multi-interest Representation Learning for Sequential Recommendation.

Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.

Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks.

Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Sequential ensemble learning for next item recommendation.

Yingpeng Du, Hongzhi Liu, Yang Song, Zekai Wang, Zhonghai Wu

Knowl. Based Syst., October, 2023

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.

Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu

CoRR, 2023

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.

Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang

CoRR, 2023

Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation.

Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

Sequential Hypergraph Convolution Network for Next Item Recommendation.

Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Generalized Ambiguity Decomposition for Ranking Ensemble Learning.

Hongzhi Liu, Yingpeng Du, Zhonghai Wu

J. Mach. Learn. Res., 2022

M³-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation.

Yingpeng Du, Hongzhi Liu, Zhonghai Wu

Proceedings of the Database Systems for Advanced Applications, 2022

2021

IFSpard: An Information Fusion-based Framework for Spam Review Detection.

Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation.

Yingpeng Du, Hongzhi Liu, Zhonghai Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Relation-Aware Neighborhood Matching Model for Entity Alignment.

Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

AEM: Attentional Ensemble Model for personalized classifier weight learning.

Hongzhi Liu, Yingpeng Du, Zhonghai Wu

Pattern Recognit., 2019

Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation.

Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation.

Yuanhang Qu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Online Personalized Next-Item Recommendation via Long Short Term Preference Learning.

Yingpeng Du, Hongzhi Liu, Yuanhang Qu, Zhonghai Wu

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation.

Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

Collaborative Probability Metric Learning.

Hongzhi Liu, Yingpeng Du, Zhonghai Wu

Proceedings of the Web and Big Data - Second International Joint Conference, 2018