| Attentional factorization machines: Learning the weight of feature interactions via attention networks J Xiao, H Ye, X He, H Zhang, F Wu, TS Chua arXiv preprint arXiv:1708.04617, 2017 | 715 | 2017 |
| Cyclin D–CDK4 kinase destabilizes PD-L1 via cullin 3–SPOP to control cancer immune surveillance J Zhang, X Bu, H Wang, Y Zhu, Y Geng, NT Nihira, Y Tan, Y Ci, F Wu, ... Nature 553 (7686), 91-95, 2018 | 616 | 2018 |
| Deepsaliency: Multi-task deep neural network model for salient object detection X Li, L Zhao, L Wei, MH Yang, F Wu, Y Zhuang, H Ling, J Wang IEEE transactions on image processing 25 (8), 3919-3930, 2016 | 554 | 2016 |
| Hierarchical recurrent neural encoder for video representation with application to captioning P Pan, Z Xu, Y Yang, F Wu, Y Zhuang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 439 | 2016 |
| Dynamic network embedding by modeling triadic closure process L Zhou, Y Yang, X Ren, F Wu, Y Zhuang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 408 | 2018 |
| A unified MRC framework for named entity recognition X Li, J Feng, Y Meng, Q Han, F Wu, J Li arXiv preprint arXiv:1910.11476, 2019 | 374 | 2019 |
| Fcanet: Frequency channel attention networks Z Qin, P Zhang, F Wu, X Li Proceedings of the IEEE/CVF international conference on computer vision, 783-792, 2021 | 280 | 2021 |
| Harmonizing hierarchical manifolds for multimedia document semantics understanding and cross-media retrieval Y Yang, YT Zhuang, F Wu, YH Pan IEEE Transactions on Multimedia 10 (3), 437-446, 2008 | 271 | 2008 |
| Dice loss for data-imbalanced NLP tasks X Li, X Sun, Y Meng, J Liang, F Wu, J Li arXiv preprint arXiv:1911.02855, 2019 | 262 | 2019 |
| Super-resolution person re-identification with semi-coupled low-rank discriminant dictionary learning XY Jing, X Zhu, F Wu, X You, Q Liu, D Yue, R Hu, B Xu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 246 | 2015 |
| Video question answering via gradually refined attention over appearance and motion D Xu, Z Zhao, J Xiao, F Wu, H Zhang, X He, Y Zhuang Proceedings of the 25th ACM international conference on Multimedia, 1645-1653, 2017 | 236 | 2017 |
| 3D motion retrieval with motion index tree F Liu, Y Zhuang, F Wu, Y Pan Computer Vision and Image Understanding 92 (2-3), 265-284, 2003 | 223 | 2003 |
| Heterogeneous cross-company defect prediction by unified metric representation and CCA-based transfer learning X Jing, F Wu, X Dong, F Qi, B Xu Proceedings of the 2015 10th joint meeting on foundations of software …, 2015 | 212 | 2015 |
| Mining semantic correlation of heterogeneous multimedia data for cross-media retrieval YT Zhuang, Y Yang, F Wu IEEE Transactions on Multimedia 10 (2), 221-229, 2008 | 195 | 2008 |
| Supervised coupled dictionary learning with group structures for multi-modal retrieval Y Zhuang, Y Wang, F Wu, Y Zhang, W Lu Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 1070-1076, 2013 | 179 | 2013 |
| HST-LSTM: A hierarchical spatial-temporal long-short term memory network for location prediction. D Kong, F Wu IJCAI 18 (7), 2341-2347, 2018 | 176 | 2018 |
| Deep sequence learning with auxiliary information for traffic prediction B Liao, J Zhang, C Wu, D McIlwraith, T Chen, S Yang, Y Guo, F Wu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 174 | 2018 |
| An improved SDA based defect prediction framework for both within-project and cross-project class-imbalance problems XY Jing, F Wu, X Dong, B Xu IEEE Transactions on Software Engineering 43 (4), 321-339, 2016 | 172 | 2016 |
| Spatio-temporal graph routing for skeleton-based action recognition B Li, X Li, Z Zhang, F Wu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8561-8568, 2019 | 171 | 2019 |
| Finding related tables AD Sarma, L Fang, N Gupta, AY Halevy, H Lee, F Wu, R Xin, C Yu | 168 | 2012 |
