| LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING Y Liu, J Lee, M Park, S Kim, E Yang, SJ Hwang, Y Yang International Conference on Learning Representations (ICLR), 2019 | 906 | 2019 |
| Semantic correspondence as an optimal transport problem Y Liu, L Zhu, M Yamada, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 141 | 2020 |
| Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition Z Shichao, L Yanbin, H Yahong, H Richang, H Qinghua, T Qi IEEE Transactions on Circuits and Systems for Video Technology 28 (8), 1839 …, 2017 | 135 | 2017 |
| Bidirectional spatial-temporal adaptive transformer for urban traffic flow forecasting C Chen, Y Liu, L Chen, C Zhang IEEE Transactions on Neural Networks and Learning Systems 34 (10), 6913-6925, 2022 | 74 | 2022 |
| A multi-mode modulator for multi-domain few-shot classification Y Liu, J Lee, L Zhu, L Chen, H Shi, Y Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 41 | 2021 |
| A time-series Wasserstein GAN method for state-of-charge estimation of lithium-ion batteries X GU, KW See, Y Liu, B Arshad, L Zhao, Y Wang Journal of Power Sources 581, 2023 | 17 | 2023 |
| Recognition of calligraphy style based on global feature descriptor Y Zhang, Y Liu, J He, J Zhang IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013 | 16 | 2013 |
| Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification L Yanbin, Z Linchao, W Xiaohan, Y Makoto, Y Yi IEEE Transactions on Neural Networks and Learning Systems, 1-11, 2023 | 11 | 2023 |
| Lsmi-sinkhorn: Semi-supervised mutual information estimation with optimal transport Y Liu, M Yamada, YHH Tsai, T Le, R Salakhutdinov, Y Yang Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 11* | 2021 |
| Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection Y Liu, Y Yan, L Chen, Y Han, Y Yang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4408-4415, 2019 | 11 | 2019 |
| TAEML: Task-Adaptive Ensemble of Meta-Learners M Park, S Kim, J Kim, Y Liu, S Choi NeurIPS 2018 Workshop on Metalearning, 2018 | 10* | 2018 |
| Aligning Step-by-Step Instructional Diagrams to Video Demonstrations J Zhang, A Cherian, Y Liu, Y Ben-Shabat, C Rodriguez, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images Y Liu, G Dwivedi, F Boussaid, F Sanfilippo, M Yamada, M Bennamoun Computer Methods and Programs in Biomedicine 240, 2023 | 8 | 2023 |
| Feature-robust optimal transport for high-dimensional data M Petrovich, C Liang, R Sato, Y Liu, YHH Tsai, L Zhu, Y Yang, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 8 | 2022 |
| Tensor learning and automated rank selection for regression-based video classification J Zhang, Y Liu, J Jiang Multimedia Tools and Applications 77 (22), 29213-29230, 2018 | 8 | 2018 |
| Discriminative multi-view feature selection and fusion Y Liu, B Liao, Y Han IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2015 | 8 | 2015 |
| 3D Brain and Heart Volume Generative Models: A Survey Y Liu, G Dwivedi, F Boussaid, M Bennamoun ACM Computing Surveys (CSUR), 2023 | 6 | 2023 |
| NeRFEditor: Differentiable style decomposition for full 3D scene editing C Sun, Y Liu, J Han, S Gould EEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024 | 5 | 2024 |
| Activities in Extended Video. F Ma, P Li, L Zhu, X Dong, Y Liu, Y Yang TRECVID 2018, 2018 | 5* | 2018 |
| Uts submission to google Youtube-8M challenge 2017 L Zhu, Y Liu, Y Yang CVPR'17 Workshop on YouTube-8M Large-Scale Video Understanding, 2017 | 4 | 2017 |
Yi YangZhejiang UniversityПотвърден имейл адрес: zju.edu.cn
