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Mengyuan Jing
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2020 – today
- 2024
- [j2]Mengyuan Jing
, Yanmin Zhu
, Tianzi Zang
, Ke Wang
:
Contrastive Self-supervised Learning in Recommender Systems: A Survey. ACM Trans. Inf. Syst. 42(2): 59:1-59:39 (2024) - [c10]Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing:
Review-Enhanced Hierarchical Contrastive Learning for Recommendation. AAAI 2024: 9107-9115 - [c9]Wenze Ma
, Yuexian Wang
, Yanmin Zhu
, Zhaobo Wang
, Mengyuan Jing
, Xuhao Zhao
, Jiadi Yu
, Feilong Tang
:
MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation. WSDM 2024: 501-509 - 2023
- [j1]Mengyuan Jing
, Yanmin Zhu
, Yanan Xu
, Haobing Liu
, Tianzi Zang
, Chunyang Wang
, Jiadi Yu
:
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17(4): 59:1-59:23 (2023) - [c8]Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing:
Calibrating Popularity Bias Based on Quality for Recommendation Fairness. ADMA (5) 2023: 374-388 - [c7]Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing:
Multi-Interest Aware Graph Convolution Network for Social Recommendation. ADMA (1) 2023: 787-801 - [c6]Xuhao Zhao
, Yanmin Zhu
, Chunyang Wang
, Mengyuan Jing
, Jiadi Yu
, Feilong Tang
:
Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation. CIKM 2023: 3484-3493 - [c5]Wenhui Zhu, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Qinghua Chen:
Recognizing Semantics-Consistent Subsequences for Sequential Recommendation. ICPADS 2023: 348-354 - [c4]Longjie Li, Yanmin Zhu, Han Zhang, Mengyuan Jing, Haoyu Zhang, Zhaobo Wang, Tianzi Zang:
Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction. ICPADS 2023: 1492-1499 - [c3]Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang:
Rating-Review Graph Contrastive Learning for Review-based Recommendation. ICPADS 2023: 1522-1529 - [c2]Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen:
Dual Contrastive Learning for Multi-Behavior Recommendation. ICPADS 2023: 1538-1545 - [i1]Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang:
Contrastive Self-supervised Learning in Recommender Systems: A Survey. CoRR abs/2303.09902 (2023) - 2022
- [c1]Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang:
Graph Contrastive Learning with Adaptive Augmentation for Recommendation. ECML/PKDD (1) 2022: 590-605
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last updated on 2024-08-08 19:19 CEST by the dblp team
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