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 | 112 | 2014 |
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 | 84 | 2019 |
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 | 78 | 2019 |
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 | 77 | 2020 |
Relational user attribute inference in social media Q Fang, J Sang, C Xu, MS Hossain IEEE Transactions on Multimedia 17 (7), 1031-1044, 2015 | 69 | 2015 |
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 | 65 | 2018 |
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 | 55 | 2015 |
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 | 48 | 2016 |
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 | 43 | 2021 |
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 | 36 | 2021 |
Stcaplrs: A spatial-temporal context-aware personalized location recommendation system Q Fang, C Xu, MS Hossain, G Muhammad ACM Transactions on Intelligent systems and technology (TIST) 7 (4), 1-30, 2016 | 36 | 2016 |
Giant: Geo-informative attributes for location recognition and exploration Q Fang, J Sang, C Xu Proceedings of the 21st ACM international conference on Multimedia, 13-22, 2013 | 36 | 2013 |
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 | 34 | 2020 |
Multi-modal knowledge-aware hierarchical attention network for explainable medical question answering Y Zhang, S Qian, Q Fang, C Xu Proceedings of the 27th ACM international conference on multimedia, 1089-1097, 2019 | 26 | 2019 |
Exploiting social-mobile information for location visualization J Sang, Q Fang, C Xu ACM Transactions on Intelligent Systems and Technology (TIST) 8 (3), 1-19, 2017 | 25 | 2017 |
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 | 24 | 2021 |
Attentive interactive convolutional matching for community question answering in social multimedia J Hu, S Qian, Q Fang, C Xu Proceedings of the 26th ACM international conference on Multimedia, 456-464, 2018 | 23 | 2018 |
Hierarchical graph semantic pooling network for multi-modal community question answer matching J Hu, S Qian, Q Fang, C Xu Proceedings of the 27th ACM International Conference on Multimedia, 1157-1165, 2019 | 21 | 2019 |
Representation learning of knowledge graphs with entity attributes and multimedia descriptions Y Zuo, Q Fang, S Qian, X Zhang, C Xu 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-5, 2018 | 21 | 2018 |
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 | 20 | 2021 |