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Yingpeng Du
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2020 – today
- 2024
- [c16]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: 8363-8371 - [c15]Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu:
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. APWeb/WAIM (1) 2024: 280-294 - [c14]Yingpeng Du
Disentangled Multi-interest Representation Learning for Sequential Recommendation. KDD 2024: 677-688 - [c13]Youchen Sun
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD 2024: 2806-2817 - [c12]Haoyan Chua
Unified Denoising Training for Recommendation. RecSys 2024: 612-621 - [i5]Yingpeng Du, Ziyan Wang, Zhu Sun, Haoyan Chua, Hongzhi Liu
Large Language Model with Graph Convolution for Recommendation. CoRR abs/2402.08859 (2024) - [i4]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 abs/2403.16427 (2024) - 2023
- [j3]Yingpeng Du
Sequential ensemble learning for next item recommendation. Knowl. Based Syst. 277: 110809 (2023) - [c11]Jiaxing Chen, Hongzhi Liu
Sequential Hypergraph Convolution Network for Next Item Recommendation. DASFAA (2) 2023: 389-405 - [c10]Jiaxing Chen, Hongzhi Liu
Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. ICDM 2023: 974-979 - [i3]Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang:
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR abs/2307.10747 (2023) - [i2]Wenxuan Zhang, Hongzhi Liu
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. CoRR abs/2311.03778 (2023) - 2022
- [j2]Hongzhi Liu
Generalized Ambiguity Decomposition for Ranking Ensemble Learning. J. Mach. Learn. Res. 23: 88:1-88:36 (2022) - [c9]Yingpeng Du, Hongzhi Liu
M3-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation. DASFAA (2) 2022: 19-35 - 2021
- [c8]Yao Zhu
Relation-Aware Neighborhood Matching Model for Entity Alignment. AAAI 2021: 4749-4756 - [c7]Yingpeng Du, Hongzhi Liu
Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation. ECML/PKDD (2) 2021: 516-531 - [c6]Yao Zhu
IFSpard: An Information Fusion-based Framework for Spam Review Detection. WWW 2021: 507-517 - 2020
- [i1]Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du:
Relation-Aware Neighborhood Matching Model for Entity Alignment. CoRR abs/2012.08128 (2020)
2010 – 2019
- 2019
- [j1]Hongzhi Liu
AEM: Attentional Ensemble Model for personalized classifier weight learning. Pattern Recognit. 96 (2019) - [c5]Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang:
Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. IJCAI 2019: 3813-3819 - 2018
- [c4]Hongzhi Liu
Collaborative Probability Metric Learning. APWeb/WAIM (1) 2018: 198-206 - [c3]Yingpeng Du, Hongzhi Liu
Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. ICDM 2018: 109-116 - [c2]Yuanhang Qu, Hongzhi Liu
Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. PRICAI 2018: 455-463 - [c1]Yingpeng Du, Hongzhi Liu
Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. PRICAI (1) 2018: 915-927
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