Mengyuan Jing

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Social Recommendation

Inductive Inference

Recommender Systems

Top Venues

ACM Trans. Inf. Syst.

Publications

Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing
Review-Enhanced Hierarchical Contrastive Learning for Recommendation. AAAI (2024)
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)
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
Contrastive Self-supervised Learning in Recommender Systems: A Survey. ACM Trans. Inf. Syst. 42 (2) (2024)
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
Contrastive Self-supervised Learning in Recommender Systems: A Survey. CoRR (2023)
Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen
Dual Contrastive Learning for Multi-Behavior Recommendation. ICPADS (2023)
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)
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) (2023)
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)
Wenhui Zhu, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Qinghua Chen
Recognizing Semantics-Consistent Subsequences for Sequential Recommendation. ICPADS (2023)
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)
Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing
Multi-Interest Aware Graph Convolution Network for Social Recommendation. ADMA (1) (2023)
Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing
Calibrating Popularity Bias Based on Quality for Recommendation Fairness. ADMA (5) (2023)
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang
Graph Contrastive Learning with Adaptive Augmentation for Recommendation. ECML/PKDD (1) (2022)