| 2025 | SIGIR | Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation. | Wenze Ma, Chenyu Sun, Yanmin Zhu, Zhaobo Wang, Xuhao Zhao, Mengyuan Jing, Jiadi Yu, Feilong Tang |
| 2024 | AAAI | Review-Enhanced Hierarchical Contrastive Learning for Recommendation. | Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing |
| 2024 | ICPADS | Intent-Aware Cross Attention for Next POI Recommendation. | Yanling Long, Yanmin Zhu, Mengyuan Jing |
| 2024 | WSDM | 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 |
| 2023 | ADMA | Multi-Interest Aware Graph Convolution Network for Social Recommendation. | Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing |
| 2023 | ADMA | Calibrating Popularity Bias Based on Quality for Recommendation Fairness. | Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing |
| 2023 | CIKM | 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 |
| 2023 | ICPADS | Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction. | Longjie Li, Yanmin Zhu, Han Zhang, Mengyuan Jing, Haoyu Zhang, Zhaobo Wang, Tianzi Zang |
| 2023 | ICPADS | Rating-Review Graph Contrastive Learning for Review-based Recommendation. | Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang |
| 2023 | ICPADS | Dual Contrastive Learning for Multi-Behavior Recommendation. | Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen |
| 2023 | ICPADS | Recognizing Semantics-Consistent Subsequences for Sequential Recommendation. | Wenhui Zhu, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Qinghua Chen |