| Visual grounding via accumulated attention C Deng, Q Wu, Q Wu, F Hu, F Lyu, M Tan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 217 | 2018 |
| Attend and imagine: Multi-label image classification with visual attention and recurrent neural networks F Lyu, Q Wu, F Hu, Q Wu, M Tan IEEE Transactions on Multimedia 21 (8), 1971-1981, 2019 | 60 | 2019 |
| SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning Z Ye, F Lyu, L Li, Q Fu, J Ren, F Hu arXiv preprint arXiv:1904.06996, 2019 | 41 | 2019 |
| Exploring Example Influence in Continual Learning Q Sun, F Lyu, F Shang, W Feng, L Wan NeurIPS 2022 (Oral), 2022 | 32 | 2022 |
| Disentangling semantic-to-visual confusion for zero-shot learning Z Ye, F Hu, F Lyu, L Li, K Huang IEEE Transactions on Multimedia 24, 2828-2840, 2021 | 21 | 2021 |
| Multi-Domain Multi-Task Rehearsal for Lifelong Learning F Lyu, S Wang, W Feng, Z Ye, F Hu, S Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8819-8827, 2021 | 21 | 2021 |
| Associating multi-scale receptive fields for fine-grained recognition Z Ye, F Hu, Y Liu, Z Xia, F Lyu, P Liu 2020 IEEE International Conference on Image Processing (ICIP), 1851-1855, 2020 | 20 | 2020 |
| Agcn: augmented graph convolutional network for lifelong multi-label image recognition K Du, F Lyu, F Hu, L Li, W Feng, F Xu, Q Fu 2022 IEEE International Conference on Multimedia and Expo (ICME), 01-06, 2022 | 13 | 2022 |
| vtGraphNet: Learning weakly-supervised scene graph for complex visual grounding F Lyu, W Feng, S Wang Neurocomputing 413, 51-60, 2020 | 12 | 2020 |
| Coarse to fine: Multi-label image classification with global/local attention F Lyu, F Hu, VS Sheng, Z Wu, Q Fu, B Fu 2018 IEEE International Smart Cities Conference (ISC2), 1-7, 2018 | 11 | 2018 |
| Unsupervised object transfiguration with attention Z Ye, F Lyu, L Li, Y Sun, Q Fu, F Hu Cognitive Computation 11, 869-878, 2019 | 10 | 2019 |
| Multi‐label image classification via coarse‐to‐fine attention F Lyu, L Li, SS Victor, Q Fu, F Hu Chinese Journal of Electronics 28 (6), 1118-1126, 2019 | 8 | 2019 |
| Multi-semantic hypergraph neural network for effective few-shot learning H Chen, L Li, F Hu, F Lyu, L Zhao, K Huang, W Feng, Z Xia Pattern Recognition 142, 109677, 2023 | 5 | 2023 |
| Multi-label continual learning using augmented graph convolutional network K Du, F Lyu, L Li, F Hu, W Feng, F Xu, X Xi, H Cheng IEEE Transactions on Multimedia, 2023 | 5 | 2023 |
| Measuring asymmetric gradient discrepancy in parallel continual learning F Lyu, Q Sun, F Shang, L Wan, W Feng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Dau-gan: Unsupervised object transfiguration via deep attention unit Z Ye, F Lyu, J Ren, Y Sun, Q Fu, F Hu Advances in Brain Inspired Cognitive Systems: 9th International Conference …, 2018 | 5 | 2018 |
| Class-incremental lifelong learning in multi-label classification K Du, L Li, F Lyu, F Hu, Z Xia, F Xu arXiv preprint arXiv:2207.07840, 2022 | 4 | 2022 |
| Mutatt: Visual-textual mutual guidance for referring expression comprehension S Wang, F Lyu, W Feng, S Wang 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 4 | 2020 |
| Feedback Attention Model for Image Captioning F Lyu, F Hu, Y Zhang, Z Xia, VS Sheng Journal of Computer-Aided Design & Computer Graphics 31 (7), 1122-1129, 2019 | 4 | 2019 |
| Centroid Distance Distillation for Effective Rehearsal in Continual Learning D Liu, F Lyu, L Li, Z Xia, F Hu ICASSP 2023 (Oral), 2023 | 3 | 2023 |
Fuyuan HuProfessor of Suzhou University of Science and TechnologyVerified email at mail.usts.edu.cn
