| Revisiting graph-based recommender systems from the perspective of variational auto-encoder Y Zhang, Y Zhang, D Yan, S Deng, Y Yang ACM Transactions on Information Systems 41 (3), 1-28, 2023 | 37 | 2023 |
| NIE-GCN: Neighbor Item Embedding-Aware Graph Convolutional Network for Recommendation Y Zhang, Y Zhang, D Yan, Q He, Y Yang IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024 | 12 | 2024 |
| Exploring the individuality and collectivity of intents behind interactions for graph collaborative filtering Y Zhang, L Sang, Y Zhang Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 8 | 2024 |
| CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction H Li, L Sang, Y Zhang, X Zhang, Y Zhang ACM Transactions on Information Systems 43 (1), 1-34, 2024 | 6* | 2024 |
| Dual Variational Graph Reconstruction Learning for Social Recommendation Y Zhang, Y Zhang, Y Zhao, S Deng, Y Yang IEEE Transactions on Knowledge and Data Engineering, 2024 | 6 | 2024 |
| DCNv3: Towards Next Generation Deep Cross Network for CTR Prediction H Li, Y Zhang, Y Zhang, H Li, L Sang, J Zhu arXiv preprint arXiv:2407.13349, 2024 | 5 | 2024 |
| Intent-guided Heterogeneous Graph Contrastive Learning for Recommendation L Sang, Y Wang, Y Zhang, Y Zhang, X Wu IEEE Transactions on Knowledge and Data Engineering, 2025 | 4 | 2025 |
| AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction L Sang, H Li, Y Zhang, Y Zhang, Y Yang ACM Transactions on Information Systems 43 (1), 1-31, 2024 | 3 | 2024 |
| SimCEN: Simple Contrast-enhanced Network for CTR Prediction H Li, L Sang, Y Zhang, Y Zhang Proceedings of the 32nd ACM International Conference on Multimedia, 2311-2320, 2024 | 3 | 2024 |
| TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation H Li, Y Zhang, Y Zhang, L Sang, Y Yang arXiv preprint arXiv:2405.03167, 2024 | 3 | 2024 |
| Simplify to the Limit! Embedding-less Graph Collaborative Filtering for Recommender Systems Y Zhang, Y Zhang, L Sang, VS Sheng ACM Transactions on Information Systems 43 (1), 1-30, 2024 | 2 | 2024 |
| Multi-view denoising contrastive learning for bundle recommendation L Sang, Y Hu, Y Zhang, Y Zhang Applied Intelligence 54 (23), 12332-12346, 2024 | 2 | 2024 |
| Dual-Domain Collaborative Denoising for Social Recommendation W Chen, Y Zhang, H Li, L Sang, Y Zhang IEEE Transactions on Computational Social Systems, 2025 | 1 | 2025 |
| High-Order Fusion Graph Contrastive Learning for Recommendation Y Zhang, L Sang, Y Zhang, Y Zhang, Y Yang arXiv preprint arXiv:2407.19692, 2024 | 1 | 2024 |
| Bi-Directional Transfer Graph Contrastive Learning for Social Recommendation L Sang, M Liu, Y Zhang, Y Huang, Y Zhang IEEE Transactions on Big Data, 2024 | 1 | 2024 |
| Heterogeneous Adaptive Preference Learning for Recommendation L Sang, W Fei, Y Zhang, Y Huang, Y Zhang ACM Transactions on Recommender Systems, 2024 | 1 | 2024 |
| Intent Representation Learning with Large Language Model for Recommendation Y Wang, L Sang, Y Zhang, Y Zhang arXiv preprint arXiv:2502.03307, 2025 | | 2025 |
| MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems Y Zhang, Y Zhang arXiv preprint arXiv:2501.13579, 2025 | | 2025 |
| Federated Contrastive Learning for Cross-Domain Recommendation Q Wang, Y Zhao, Y Zhang, Y Zhang, S Deng, Y Yang IEEE Transactions on Services Computing, 2025 | | 2025 |
| Revisiting Alignment and Uniformity for Recommendation via Discrimination and Reliable Assessment X Jiang, L Sang, S Lian, Y Zhang, Y Zhang IEEE Transactions on Consumer Electronics, 2025 | | 2025 |
Yiwen ZhangProfessor, Anhui UniversityE-mail megerősítve itt: ahu.edu.cn