| Deepemd: Few-shot image classification with differentiable earth mover's distance and structured classifiers C Zhang, Y Cai, G Lin, C Shen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 273 | 2020 |
| Weakly-supervised 3d hand pose estimation from monocular rgb images Y Cai, L Ge, J Cai, J Yuan Proceedings of the European Conference on Computer Vision (ECCV), 666-682, 2018 | 216 | 2018 |
| Hand pointnet: 3d hand pose estimation using point sets L Ge, Y Cai, J Weng, J Yuan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 207 | 2018 |
| Exploiting spatial-temporal relationships for 3d pose estimation via graph convolutional networks Y Cai, L Ge, J Liu, J Cai, TJ Cham, J Yuan, NM Thalmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 192 | 2019 |
| Learning progressive joint propagation for human motion prediction Y Cai, L Huang, Y Wang, TJ Cham, J Cai, J Yuan, J Liu, X Yang, Y Zhu, ... European Conference on Computer Vision, 226-242, 2020 | 51 | 2020 |
| Nodeaug: Semi-supervised node classification with data augmentation Y Wang, W Wang, Y Liang, Y Cai, J Liu, B Hooi Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 47 | 2020 |
| Mixup for node and graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi Proceedings of the Web Conference 2021, 3663-3674, 2021 | 27 | 2021 |
| 3D hand pose estimation using synthetic data and weakly labeled RGB images Y Cai, L Ge, J Cai, NM Thalmann, J Yuan IEEE transactions on pattern analysis and machine intelligence 43 (11), 3739 …, 2020 | 21 | 2020 |
| Graphcrop: Subgraph cropping for graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi arXiv preprint arXiv:2009.10564, 2020 | 19 | 2020 |
| Deepemd: Differentiable earth mover's distance for few-shot learning C Zhang, Y Cai, G Lin, C Shen arXiv preprint arXiv:2003.06777, 2020 | 18 | 2020 |
| Curgraph: Curriculum learning for graph classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi Proceedings of the Web Conference 2021, 1238-1248, 2021 | 10 | 2021 |
| A unified 3d human motion synthesis model via conditional variational auto-encoder Y Cai, Y Wang, Y Zhu, TJ Cham, J Cai, J Yuan, J Liu, C Zheng, S Yan, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 10 | 2021 |
| Direct multi-view multi-person 3d pose estimation J Zhang, Y Cai, S Yan, J Feng Advances in Neural Information Processing Systems 34, 13153-13164, 2021 | 6 | 2021 |
| Detecting implementation bugs in graph convolutional network based node classifiers Y Wang, W Wang, Y Ca, B Hooi, BC Ooi 2020 IEEE 31st International Symposium on Software Reliability Engineering …, 2020 | 6 | 2020 |
| Adaptive data augmentation on temporal graphs Y Wang, Y Cai, Y Liang, H Ding, C Wang, S Bhatia, B Hooi Advances in Neural Information Processing Systems 34, 1440-1452, 2021 | 5 | 2021 |
| Progressive supervision for node classification Y Wang, W Wang, Y Liang, Y Cai, B Hooi Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 4 | 2020 |
| Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis Y Wang, M Chen, W Zhou, Y Cai, Y Liang, D Liu, B Yang, J Liu, B Hooi arXiv preprint arXiv:2205.03784, 2022 | 1 | 2022 |
| GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction Y Wang, M Chen, W Zhou, Y Cai, Y Liang, B Hooi arXiv preprint arXiv:2205.03786, 2022 | 1 | 2022 |
| Time-Aware Neighbor Sampling for Temporal Graph Networks Y Wang, Y Cai, Y Liang, H Ding, C Wang, B Hooi arXiv preprint arXiv:2112.09845, 2021 | | 2021 |
| Structure-Aware Label Smoothing for Graph Neural Networks Y Wang, Y Cai, Y Liang, W Wang, H Ding, M Chen, J Tang, B Hooi arXiv preprint arXiv:2112.00499, 2021 | | 2021 |
Junsong YuanState University of New York at BuffaloVerified email at buffalo.edu
