Interest-aware Message-Passing GCN for Recommendation F Liu, Z Cheng, L Zhu, Z Gao, L Nie The Web Conference 2021, 1296-1305, 2021 | 284 | 2021 |
User diverse preference modeling by multimodal attentive metric learning F Liu, Z Cheng, C Sun, Y Wang, L Nie, M Kankanhalli ACM international conference on multimedia, 1526-1534, 2019 | 106 | 2019 |
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 | 80 | 2022 |
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 | 73* | 2020 |
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 | 70 | 2022 |
Multi-Behavior Recommendation with Cascading Graph Convolution Networks Z Cheng, S Han, F Liu, L Zhu, Z Gao, Y Peng The Web Conference 2023, 1181–1189, 2023 | 52 | 2023 |
Lightgt: A light graph transformer for multimedia recommendation Y Wei, W Liu, F Liu, X Wang, L Nie, TS Chua ACM SIGIR Conference on Research and Development in Information Retrieval …, 2023 | 49 | 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 | 46 | 2023 |
Privacy-Preserving Synthetic Data Generation for Recommendation Systems F Liu, Z Cheng, H Chen, Y Wei, L Nie, M Kankanhalli ACM SIGIR Conference on Research and Development in Information Retrieval …, 2022 | 44 | 2022 |
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 | 26 | 2022 |
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 | 19 | 2023 |
Semantic-Guided Feature Distillation for Multimodal Recommendation F Liu, H Chen, Z Cheng, L Nie, M Kankanhalli ACM International Conference on Multimedia, 6567–6575, 2023 | 15 | 2023 |
Multi-queue Momentum Contrast for Microvideo-Product Retrieval Y Du, Y Wei, W Ji, F Liu, X Luo, L Nie ACM International Conference on Web Search and Data Mining, 1003–1011, 2023 | 14 | 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 26, 1065-1075, 2023 | 10 | 2023 |
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models F Liu, Y Liu, H Chen, Z Cheng, L Nie, M Kankanhalli ACM Transactions on Information Systems 43 (2), 1-26, 2025 | 7 | 2025 |
Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation M Yan, F Liu, J Sun, F Sun, Z Cheng, Y Han ACM SIGIR Conference on Research and Development in Information Retrieval …, 2024 | 6 | 2024 |
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 | 5 | 2024 |
Advancing Video Question Answering with a Multi-modal and Multi-layer Question Enhancement Network M Liu, F Zhang, X Luo, F Liu, Y Wei, L Nie ACM International Conference on Multimedia, 3985-3993, 2023 | 5 | 2023 |
Cluster-based Graph Collaborative Filtering F Liu, S Zhao, Z Cheng, L Nie, M Kankanhalli ACM Transactions on Information Systems 42 (6), 1-24, 2024 | 4 | 2024 |
DiVE: DiT-based Video Generation with Enhanced Control J Jiang, G Hong, L Zhou, E Ma, H Hu, X Zhou, J Xiang, F Liu, K Yu, H Sun, ... ECCV 2024 Workshop on Multimodal Perception and Comprehension of Corner …, 2024 | 3 | 2024 |