Mengyuan Jing

Orcid: 0009-0008-4550-4751

According to our database¹, Mengyuan Jing authored at least 18 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Interest-Aware Graph Contrastive Learning for Recommendation With Diffusion-Based Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2026

Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution.

[BibT_eX]

[DOI]

J. Imaging, 2026

2025

Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., November, 2025

Road Agglomerate Fog Detection Method Based on the Fusion of SURF and Optical Flow Characteristics from UAV Perspective.

[BibT_eX]

[DOI]

Entropy, 2025

Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024

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

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., March, 2024

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

[BibT_eX]

[DOI]

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

Intent-Aware Cross Attention for Next POI Recommendation.

[BibT_eX]

[DOI]

Yanling Long

Yanmin Zhu

Mengyuan Jing

Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

Review-Enhanced Hierarchical Contrastive Learning for Recommendation.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

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

Recognizing Semantics-Consistent Subsequences for Sequential Recommendation.

[BibT_eX]

[DOI]

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

Dual Contrastive Learning for Multi-Behavior Recommendation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Calibrating Popularity Bias Based on Quality for Recommendation Fairness.

[BibT_eX]

[DOI]

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

Multi-Interest Aware Graph Convolution Network for Social Recommendation.

[BibT_eX]

[DOI]

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

2022

Graph Contrastive Learning with Adaptive Augmentation for Recommendation.

[BibT_eX]

[DOI]

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

Mengyuan Jing

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