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 | 1004 | 2017 |
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 | 944 | 2021 |
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 | 861 | 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 | 738 | 2019 |
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 | 628 | 2019 |
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 | 606 | 2016 |
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 | 590 | 2017 |
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 | 555 | 2018 |
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 | 498 | 2016 |
Instruction tuning for large language models: A survey S Zhang, L Dong, X Li, S Zhang, X Sun, S Wang, J Li, R Hu, T Zhang, ... arXiv preprint arXiv:2308.10792, 2023 | 439 | 2023 |
Df-gan: A simple and effective baseline for text-to-image synthesis M Tao, H Tang, F Wu, XY Jing, BK Bao, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 294 | 2022 |
Gpt-ner: Named entity recognition via large language models S Wang, X Sun, X Li, R Ouyang, F Wu, T Zhang, J Li, G Wang arXiv preprint arXiv:2304.10428, 2023 | 285 | 2023 |
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 | 279 | 2015 |
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 | 277 | 2008 |
HST-LSTM: A hierarchical spatial-temporal long-short term memory network for location prediction. D Kong, F Wu Ijcai 18 (7), 2341-2347, 2018 | 275 | 2018 |
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 | 269 | 2019 |
Bertgcn: Transductive text classification by combining gcn and bert Y Lin, Y Meng, X Sun, Q Han, K Kuang, J Li, F Wu arXiv preprint arXiv:2105.05727, 2021 | 259 | 2021 |
Feasibility evaluation of large-scale underground hydrogen storage in bedded salt rocks of China: A case study in Jiangsu province W Liu, Z Zhang, J Chen, D Jiang, F Wu, J Fan, Y Li Energy 198, 117348, 2020 | 247 | 2020 |
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 | 246 | 2018 |
Df-gan: Deep fusion generative adversarial networks for text-to-image synthesis M Tao, H Tang, S Wu, N Sebe, XY Jing, F Wu, B Bao arXiv preprint arXiv:2008.05865 2 (6), 2020 | 239 | 2020 |