| Constructing self-motivated pyramid curriculums for cross-domain semantic segmentation: a non-adversarial approach Q Lian, F Lv, L Duan, B Gong Proceedings of the IEEE International Conference on Computer Vision, 6758-6767, 2019 | 290 | 2019 |
| Progressive modality reinforcement for human multimodal emotion recognition from unaligned multimodal sequences F Lv, X Chen, Y Huang, L Duan, G Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 251 | 2021 |
| Can cross entropy loss be robust to label noise? L Feng, S Shu, Z Lin, F Lv, L Li, B An Proceedings of the International Joint Conference on Artificial Intelligence …, 2020 | 230 | 2020 |
| An efficient instance selection algorithm to reconstruct training set for support vector machine C Liu, W Wang, M Wang, F Lv, M Konan Knowledge-Based Systems 116, 58-73, 2017 | 176 | 2017 |
| Cross-domain semantic segmentation via domain-invariant interactive relation transfer F Lv, T Liang, X Chen, G Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 122 | 2020 |
| Attention is not enough: mitigating the distribution discrepancy in asynchronous multimodal sequence fusion T Liang, G Lin, L Feng, Y Zhang, F Lv Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 106 | 2021 |
| An effective conversation-based botnet detection method R Chen, W Niu, X Zhang, Z Zhuo, F Lv Mathematical Problems in Engineering 2017, 2017 | 82 | 2017 |
| Spatiotemporal variations of air pollutants and ozone prediction using machine learning algorithms in the Beijing-Tianjin-Hebei region from 2014 to 2021 Y Lyu, Q Ju, F Lv, J Feng, X Pang, X Li Environmental Pollution, 119420, 2022 | 71 | 2022 |
| Expanding large pre-trained unimodal models with multimodal information injection for image-text multimodal classification T Liang, G Lin, M Wan, T Li, G Ma, F Lv Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 64 | 2022 |
| A new centroid-based classification model for text categorization C Liu, W Wang, G Tu, Y Xiang, S Wang, F Lv Knowledge-Based Systems 136, 15-26, 2017 | 47 | 2017 |
| Breast tumor classification through learning from noisy labeled ultrasound images Z Cao, G Yang, Q Chen, X Chen, F Lv Medical Physics 47 (3), 1048-1057, 2020 | 42 | 2020 |
| IMUFS: complementary and consensus learning-based incomplete multi-view unsupervised feature selection Y Huang, Z Shen, Y Cai, X Yi, D Wang, F Lv, T Li IEEE Transactions on Knowledge and Data Engineering, 2023 | 41 | 2023 |
| Long short‐term memory on abstract syntax tree for SQL injection detection Z Zhuo, T Cai, X Zhang, F Lv IET Software 15 (2), 188-197, 2021 | 41 | 2021 |
| Adaptive graph-based generalized regression model for unsupervised feature selection Y Huang, Z Shen, F Cai, T Li, F Lv Knowledge-Based Systems 227, 107156, 2021 | 40 | 2021 |
| TRRNet: tiered relation reasoning for compositional visual question answering X Yang, G Lin, F Lv, F Liu Proceedings of the European Conference on Computer Vision, 2020 | 36 | 2020 |
| Weakly-supervised cross-domain road scene segmentation via multi-level curriculum adaptation F Lv, G Lin, P Liu, G Yang, SJ Pan, L Duan IEEE Transactions on Circuits and Systems for Video Technology, 2020 | 31 | 2020 |
| TarGAN: Generating target data with class labels for unsupervised domain adaptation F Lv, J Zhu, G Yang, L Duan Knowledge-Based Systems 172, 123-129, 2019 | 31 | 2019 |
| Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey Z Wu, F Lv, C Chen, A Hao, S Li arXiv preprint arXiv:2401.11734, 2024 | 30 | 2024 |
| Learning cross-domain semantic-visual relationships for transductive zero-shot learning F Lv, J Zhang, G Yang, L Feng, Y Yu, L Duan Pattern Recognition 141, 109591, 2023 | 26 | 2023 |
| Learning unbiased zero-shot semantic segmentation networks via transductive transfer F Lv, H Liu, Y Wang, J Zhao, G Yang IEEE Signal Processing Letters 27, 1640-1644, 2020 | 26 | 2020 |
Guowu YangUniversity of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
