Mengyuan Jing

19 papers A* 2A 2B 5Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Interest-Aware Graph Contrastive Learning for Recommendation With Diffusion-Based Augmentation.
IEEE Trans. Knowl. Data Eng.
Mengyuan Jing, Yanmin Zhu, Zhaobo Wang, Jiadi Yu, Feilong Tang
2026 J jnl
Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution.
J. Imaging
Haoxiang Lu, Jing Zhang, Mengyuan Jing, Ziming Wang, Wenhao Wang
2025 J jnl
Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation.
ACM Trans. Inf. Syst.
Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Wenze Ma, Jiadi Yu, Feilong Tang
2025 A* conf
Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation.
SIGIR
Wenze Ma, Chenyu Sun, Yanmin Zhu, Zhaobo Wang, Xuhao Zhao, Mengyuan Jing, Jiadi Yu, Feilong Tang
2025 J jnl
Road Agglomerate Fog Detection Method Based on the Fusion of SURF and Optical Flow Characteristics from UAV Perspective.
Entropy
Fuyang Guo, Haiqing Liu, Mengmeng Zhang, Mengyuan Jing, Xiaolong Gong
2024 J jnl
Contrastive Self-supervised Learning in Recommender Systems: A Survey.
ACM Trans. Inf. Syst.
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
2024 B conf
Intent-Aware Cross Attention for Next POI Recommendation.
ICPADS
Yanling Long, Yanmin Zhu, Mengyuan Jing
2024 A conf
MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation.
WSDM
Wenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang
2024 A* conf
Review-Enhanced Hierarchical Contrastive Learning for Recommendation.
AAAI
Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing
2023 — conf
Calibrating Popularity Bias Based on Quality for Recommendation Fairness.
ADMA (5)
Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing
2023 J jnl
Contrastive Self-supervised Learning in Recommender Systems: A Survey.
CoRR
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Ke Wang
2023 B conf
Dual Contrastive Learning for Multi-Behavior Recommendation.
ICPADS
Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen
2023 J jnl
Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Mengyuan Jing, Yanmin Zhu, Yanan Xu, Haobing Liu, Tianzi Zang, Chunyang Wang, Jiadi Yu
2023 — conf
Multi-Interest Aware Graph Convolution Network for Social Recommendation.
ADMA (1)
Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing
2023 B conf
Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction.
ICPADS
Longjie Li, Yanmin Zhu, Han Zhang, Mengyuan Jing, Haoyu Zhang, Zhaobo Wang, Tianzi Zang
2023 B conf
Rating-Review Graph Contrastive Learning for Review-based Recommendation.
ICPADS
Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang
2023 B conf
Recognizing Semantics-Consistent Subsequences for Sequential Recommendation.
ICPADS
Wenhui Zhu, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Qinghua Chen
2023 A conf
Task-Difficulty-Aware Meta-Learning with Adaptive Update Strategies for User Cold-Start Recommendation.
CIKM
Xuhao Zhao, Yanmin Zhu, Chunyang Wang, Mengyuan Jing, Jiadi Yu, Feilong Tang
2022 — conf
Graph Contrastive Learning with Adaptive Augmentation for Recommendation.
ECML/PKDD (1)
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Feilong Tang