| Joint item recommendation and attribute inference: An adaptive graph convolutional network approach L Wu, Y Yang, K Zhang, R Hong, Y Fu, M Wang SIGIR 2020, 2020 | 105 | 2020 |
| Enhanced graph learning for collaborative filtering via mutual information maximization Y Yang, L Wu, R Hong, K Zhang, M Wang SIGIR 2021, 2021 | 96 | 2021 |
| Generative-contrastive graph learning for recommendation Y Yang, Z Wu, L Wu, K Zhang, R Hong, Z Zhang, J Zhou, M Wang SIGIR 2023, 2023 | 50 | 2023 |
| Learning to transfer graph embeddings for inductive graph based recommendation L Wu, Y Yang, L Chen, D Lian, R Hong, M Wang SIGIR 2020, 2020 | 32 | 2020 |
| Hyperbolic Graph Learning for Social Recommendation Y Yang, L Wu, K Zhang, R Hong, H Zhou, Z Zhang, J Zhou, M Wang IEEE TKDE, 2023 | 13 | 2023 |
| Double Correction Framework for Denoising Recommendation Z He, Y Wang, Y Yang, P Sun, L Wu, H Bai, J Gong, R Hong, M Zhang SIGKDD 2024, 2024 | 10 | 2024 |
| Graph Bottlenecked Social Recommendation Y Yang, L Wu, Z Wang, Z He, R Hong, M Wang SIGKDD 2024, 2024 | 9 | 2024 |
| Gorec: a generative cold-start recommendation framework H Bai, M Hou, L Wu, Y Yang, K Zhang, R Hong, M Wang MM 2023, 2023 | 8 | 2023 |
| Personalized multimedia item and key frame recommendation L Wu, L Chen, Y Yang, R Hong, Y Ge, X Xie, M Wang IJCAI 2019, 2019 | 8 | 2019 |
| Self-supervised cross domain social recommendation S Luo, Y Yang, K Zhang, P Sun, L Wu, R Hong ICCAI 2022, 286-292, 2022 | 7 | 2022 |
| Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation H Bai, M Hou, L Wu, Y Yang, K Zhang, R Hong, M Wang IEEE TBD, 2024 | 4 | 2024 |
| Resfusion: A residual learning based fusion framework for CTR prediction J Bao, Y Ji, Y Yang, L Wu, R Fu CCIR 2020, 2020 | 4 | 2020 |
| Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks P Shao, C Gao, L Chen, Y Yang, K Zhang, M Wang SIGKDD 2025, 2024 | 3 | 2024 |
| Multi-relational cognitive diagnosis for intelligent education K Wu, Y Yang, K Zhang, L Wu, J Liu, X Li CAAI 2022, 2022 | 3 | 2022 |
| Boosting Multimedia Recommendation via Separate Generic and Unique Awareness Z He, Z Wang, Y Yang, H Bai, L Wu arXiv preprint arXiv:2406.08270, 2024 | 1 | 2024 |
| Learning Fair Representations for Recommendation via Information Bottleneck Principle J Xie, Y Yang, Z Wang, L Wu IJCAI 2024, 2469-2477, 2024 | 1 | 2024 |
| Less is More: Information Bottleneck Denoised Multimedia Recommendation Y Yang, L Wu, Z He, Z Wu, R Hong, M Wang arXiv preprint arXiv:2501.12175, 2025 | | 2025 |
| Making Non-overlapping Matters: An Unsupervised Alignment enhanced Cross-Domain Cold-Start Recommendation Z Wang, Y Yang*, L Wu*, R Hong, M Wang IEEE TKDE, 2024 | | 2024 |
| Fair Personalized Learner Modeling Without Sensitive Attributes H Xu, M Hou, L Wu, F Liu, Y Yang, H Bai, R Hong, M Wang THE WEB CONFERENCE 2025, 0 | | |
Le WuHefei University of TechnologyVerified email at hfut.edu.cn