| Image super-resolution using very deep residual channel attention networks Y Zhang, K Li, K Li, L Wang, B Zhong, Y Fu Proceedings of the European conference on computer vision (ECCV), 286-301, 2018 | 1019 | 2018 |
| PointDAN: A multi-scale 3D domain adaption network for point cloud representation C Qin, H You, L Wang, CCJ Kuo, Y Fu Advances in Neural Information Processing Systems (NeurIPS), 7192-7203, 2019 | 27 | 2019 |
| Generative multi-view human action recognition L Wang, Z Ding, Z Tao, Y Liu, Y Fu IEEE International Conference on Computer Vision (ICCV), 6212-6221, 2019 | 25 | 2019 |
| Low-rank transfer human motion segmentation L Wang, Z Ding, Y Fu IEEE Transactions on Image Processing 28 (2), 1023-1034, 2018 | 23 | 2018 |
| Learning transferable subspace for human motion segmentation L Wang, Z Ding Proceedings of the National Conference on Artificial Intelligence (AAAI), 2018 | 18 | 2018 |
| Adaptive Graph Guided Embedding for Multi-label Annotation. L Wang, Z Ding, Y Fu International Joint Conferences on Artificial Intelligence (IJCAI), 2798-2804, 2018 | 15 | 2018 |
| EV-Action: Electromyography-vision multi-modal action dataset L Wang, B Sun, J Robinson, T Jing, Y Fu IEEE International Conference on Automatic Face and Gesture Recognition (FG …, 2020 | 14 | 2020 |
| Opposite structure learning for semi-supervised domain adaptation C Qin, L Wang, Q Ma, Y Yin, H Wang, Y Fu SIAM International Conference on Data Mining (SDM), 2021 | 7 | 2021 |
| Dual Relation Semi-supervised Multi-label Learning L Wang, Y Liu, C Qin, G Sun, Y Fu Proceedings of the National Conference on Artificial Intelligence (AAAI), 2020 | 7 | 2020 |
| Job2Vec: Job title benchmarking with collective multi-view representation learning D Zhang, J Liu, H Zhu, Y Liu, L Wang, P Wang, H Xiong Proceedings of the 28th ACM International Conference on Information and …, 2019 | 7 | 2019 |
| Inductive and unsupervised representation learning on graph structured objects L Wang, B Zong, Q Ma, W Cheng, J Ni, W Yu, Y Liu, D Song, H Chen, ... International Conference on Learning Representations (ICLR), 2020 | 6 | 2020 |
| Generatively inferential co-training for unsupervised domain adaptation C Qin, L Wang, Y Zhang, Y Fu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 6 | 2019 |
| Generative correlation discovery network for multi-label learning L Wang, Z Ding, S Han, JJ Han, C Choi, Y Fu IEEE International Conference on Data Mining (ICDM), 588-597, 2019 | 3 | 2019 |
| 3-D reconstruction for SMT solder joint based on joint shadow L Wang, A Zhang, C Guo, S Zhao, P Bhan IEEE Chinese Control and Decision Conference (CCDC), 5766-5772, 2015 | 2 | 2015 |
| Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism Y Bai, L Wang, Z Tao, S Li, Y Fu arXiv e-prints, arXiv: 1911.11561, 2019 | 1 | 2019 |
| Modified multi-target recognition based on camcom W Lichen, Z Aimin, G Chujia, P Bhan, Y Tian IEEE Chinese Control Conference (CCC), 5367-5373, 2015 | 1 | 2015 |
| Collaborative Attention Mechanism for Multi-View Action Recognition Y Bai, Z Tao, L Wang, S Li, Y Yin, Y Fu arXiv preprint arXiv:2009.06599, 2020 | | 2020 |
| Correlative Channel-Aware Fusion for Multi-View Time Series Classification Y Bai, L Wang, Z Tao, S Li, Y Fu National Conference on Artificial Intelligence (AAAI), 2020 | | 2020 |
| Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation Y Bai, L Wang, Y Liu, Y Yin, Y Fu International Conference on Data Mining (ICDM), 2020 | | 2020 |
| Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning Y Liu, L Wang, Y Bai, C Qin, Z Ding, Y Fu European Conference on Computer Vision (ECCV), 2020 | | 2020 |
Yun Raymond FuNEU, Professor; FIEEE, FSPIE, FOSA, FIAPRVerified email at neu.edu
