| Interest-aware Message-Passing GCN for Recommendation F Liu, Z Cheng, L Zhu, Z Gao, L Nie Proceedings of the Web Conference 2021, 1296-1305, 2021 | 209 | 2021 |
| User diverse preference modeling by multimodal attentive metric learning F Liu, Z Cheng, C Sun, Y Wang, L Nie, M Kankanhalli Proceedings of the 27th ACM international conference on multimedia, 1526-1534, 2019 | 79 | 2019 |
| An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation F Liu, Z Cheng, L Zhu, C Liu, L Nie IEEE Transactions on Knowledge and Data Engineering 34 (9), 4077-4088, 2020 | 55* | 2020 |
| Disentangled Graph Neural Networks for Session-based Recommendation A Li, Z Cheng, F Liu, Z Gao, W Guan, Y Peng IEEE Transactions on Knowledge and Data Engineering 35 (8), 7870-7882, 2022 | 47 | 2022 |
| Disentangled Multimodal Representation Learning for Recommendation F Liu, H Chen, Z Cheng, A Liu, L Nie, M Kankanhalli IEEE Transactions on Multimedia 25, 7149 - 7159, 2022 | 39 | 2022 |
| Privacy-Preserving Synthetic Data Generation for Recommendation Systems F Liu, Z Cheng, H Chen, Y Wei, L Nie, M Kankanhalli Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 25 | 2022 |
| Multi-Behavior Recommendation with Cascading Graph Convolution Networks Z Cheng, S Han, F Liu, L Zhu, Z Gao, Y Peng Proceedings of the Web Conference 2023, 1181–1189, 2023 | 24 | 2023 |
| Feature-level Attentive ICF for Recommendation Z Cheng, F Liu, S Mei, Y Guo, L Zhu, L Nie ACM Transactions on Information Systems 40 (4), 1-24, 2022 | 23 | 2022 |
| Lightgt: A light graph transformer for multimedia recommendation Y Wei, W Liu, F Liu, X Wang, L Nie, TS Chua Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 22 | 2023 |
| Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation M Yan, Z Cheng, C Gao, J Sun, F Liu, F Sun, H Li ACM Transactions on Information Systems 42 (1), 1-26, 2023 | 18 | 2023 |
| Learning to Agree on Vision Attention for Visual Commonsense Reasoning Z Li, Y Guo, K Wang, F Liu, L Nie, M Kankanhalli IEEE Transactions on Multimedia, 2023 | 6 | 2023 |
| Multi-queue Momentum Contrast for Microvideo-Product Retrieval Y Du, Y Wei, W Ji, F Liu, X Luo, L Nie Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 6 | 2023 |
| Semantic-Guided Feature Distillation for Multimodal Recommendation F Liu, H Chen, Z Cheng, L Nie, M Kankanhalli Proceedings of the 31st ACM International Conference on Multimedia, 6567–6575, 2023 | 5 | 2023 |
| Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation H Liu, Y Wei, F Liu, W Wang, L Nie, TS Chua ACM Transactions on Information Systems 42 (2), 1046-8188, 2023 | 4 | 2023 |
| Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models F Liu, Y Liu, Z Cheng, L Nie, M Kankanhalli arXiv preprint arXiv:2312.16275, 2024 | 2 | 2024 |
| Deep temporal state perception towards artificial cyber-physical systems Y Jin, S Wang, F Liu, H Fan, Y Hu, X Li, S Liu IEEE Internet of Things Journal 10 (21), 18782 - 18789, 2023 | 2 | 2023 |
| Attribute-driven Disentangled Representation Learning for Multimodal Recommendation Z Li, F Liu, Y Wei, Z Cheng, L Nie, M Kankanhalli arXiv preprint arXiv:2312.14433, 2024 | 1 | 2024 |
| CoGCN: co-occurring item-aware GCN for recommendation X Zhao, F Liu, H Liu, M Xu, H Tang, X Li, Y Hu Neural Computing and Applications 35 (36), 25107-25120, 2023 | 1 | 2023 |
| Decoupled domain-specific and domain-conditional representation learning for cross-domain recommendation Y Zhang, Z Cheng, F Liu, X Yang, Y Peng Information Processing & Management 61 (3), 103689, 2024 | | 2024 |
| Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation M Yan, F Liu, J Sun, F Sun, Z Cheng, Y Han Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
Zhiyong Cheng （程志勇）Dirección de correo verificada de sdas.org
