Hierarchical multi-modal contextual attention network for fake news detection S Qian, J Wang, J Hu, Q Fang, C Xu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 202 | 2021 |
Fake news detection via knowledge-driven multimodal graph convolutional networks Y Wang, S Qian, J Hu, Q Fang, C Xu Proceedings of the 2020 international conference on multimedia retrieval …, 2020 | 179 | 2020 |
Multi-modal knowledge-aware event memory network for social media rumor detection H Zhang, Q Fang, S Qian, C Xu Proceedings of the 27th ACM international conference on multimedia, 1942-1951, 2019 | 169 | 2019 |
Explainable interaction-driven user modeling over knowledge graph for sequential recommendation X Huang, Q Fang, S Qian, J Sang, Y Li, C Xu Proceedings of the 27th ACM International Conference on Multimedia, 548-556, 2019 | 138 | 2019 |
Topic-sensitive influencer mining in interest-based social media networks via hypergraph learning Q Fang, J Sang, C Xu, Y Rui IEEE Transactions on Multimedia 16 (3), 796-812, 2014 | 135 | 2014 |
Csan: Contextual self-attention network for user sequential recommendation X Huang, S Qian, Q Fang, J Sang, C Xu Proceedings of the 26th ACM international conference on Multimedia, 447-455, 2018 | 98 | 2018 |
User cold-start recommendation via inductive heterogeneous graph neural network D Cai, S Qian, Q Fang, J Hu, C Xu ACM Transactions on Information Systems 41 (3), 1-27, 2023 | 81 | 2023 |
Relational user attribute inference in social media Q Fang, J Sang, C Xu, MS Hossain IEEE Transactions on Multimedia 17 (7), 1031-1044, 2015 | 77 | 2015 |
Knowledge-aware multi-modal adaptive graph convolutional networks for fake news detection S Qian, J Hu, Q Fang, C Xu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 71 | 2021 |
Heterogeneous hierarchical feature aggregation network for personalized micro-video recommendation D Cai, S Qian, Q Fang, C Xu IEEE Transactions on Multimedia 24, 805-818, 2021 | 66 | 2021 |
Dual adversarial graph neural networks for multi-label cross-modal retrieval S Qian, D Xue, H Zhang, Q Fang, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2440-2448, 2021 | 65 | 2021 |
Word-of-mouth understanding: Entity-centric multimodal aspect-opinion mining in social media Q Fang, C Xu, J Sang, MS Hossain, G Muhammad IEEE Transactions on Multimedia 17 (12), 2281-2296, 2015 | 64 | 2015 |
Multi-modal meta multi-task learning for social media rumor detection H Zhang, S Qian, Q Fang, C Xu IEEE Transactions on Multimedia 24, 1449-1459, 2021 | 63 | 2021 |
HAPGN: Hierarchical attentive pooling graph network for point cloud segmentation C Chen, S Qian, Q Fang, C Xu IEEE Transactions on Multimedia 23, 2335-2346, 2020 | 61 | 2020 |
Efficient graph deep learning in tensorflow with tf_geometric J Hu, S Qian, Q Fang, Y Wang, Q Zhao, H Zhang, C Xu Proceedings of the 29th ACM International Conference on Multimedia, 3775-3778, 2021 | 60 | 2021 |
Folksonomy-based visual ontology construction and its applications Q Fang, C Xu, J Sang, MS Hossain, A Ghoneim IEEE Transactions on Multimedia 18 (4), 702-713, 2016 | 58 | 2016 |
Heterogeneous graph contrastive learning network for personalized micro-video recommendation D Cai, S Qian, Q Fang, J Hu, W Ding, C Xu IEEE Transactions on Multimedia 25, 2761-2773, 2022 | 54 | 2022 |
Multimodal disentangled domain adaption for social media event rumor detection H Zhang, S Qian, Q Fang, C Xu IEEE Transactions on Multimedia 23, 4441-4454, 2020 | 50 | 2020 |
Knowledge-enhanced attributed multi-task learning for medicine recommendation Y Zhang, X Wu, Q Fang, S Qian, C Xu ACM Transactions on Information Systems 41 (1), 1-24, 2023 | 49 | 2023 |
Integrating multi-label contrastive learning with dual adversarial graph neural networks for cross-modal retrieval S Qian, D Xue, Q Fang, C Xu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4794-4811, 2022 | 49 | 2022 |