Mengyuan Jing

According to our database, Mengyuan Jing authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Contrastive Self-supervised Learning in Recommender Systems: A Survey.

Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang

ACM Trans. Inf. Syst., March, 2024

MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation.

Wenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Review-Enhanced Hierarchical Contrastive Learning for Recommendation.

Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing

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

2023

Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks.

Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu

ACM Trans. Knowl. Discov. Data, May, 2023

Recognizing Semantics-Consistent Subsequences for Sequential Recommendation.

Wenhui Zhu, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Qinghua Chen

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Dual Contrastive Learning for Multi-Behavior Recommendation.

Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Rating-Review Graph Contrastive Learning for Review-based Recommendation.

Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction.

Longjie Li, Yanmin Zhu, Han Zhang, Mengyuan Jing, Haoyu Zhang, Zhaobo Wang, Tianzi Zang

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation.

Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Calibrating Popularity Bias Based on Quality for Recommendation Fairness.

Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Multi-Interest Aware Graph Convolution Network for Social Recommendation.

Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

Graph Contrastive Learning with Adaptive Augmentation for Recommendation.

Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022