| 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 | 5520 | 2018 |
| Skeleton aware multi-modal sign language recognition S Jiang, B Sun, L Wang, Y Bai, K Li, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 250 | 2021 |
| 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 | 235 | 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 | 133 | 2019 |
| Adaptive trajectory prediction via transferable gnn Y Xu, L Wang, Y Wang, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 76 | 2022 |
| 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 | 62 | 2019 |
| 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 | 59* | 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 | 49 | 2020 |
| Sign language recognition via skeleton-aware multi-model ensemble S Jiang, B Sun, L Wang, Y Bai, K Li, Y Fu arXiv preprint arXiv:2110.06161, 2021 | 47 | 2021 |
| Low-rank transfer human motion segmentation L Wang, Z Ding, Y Fu IEEE Transactions on Image Processing 28 (2), 1023-1034, 2018 | 46 | 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 | 42 | 2018 |
| 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 | 34 | 2020 |
| Learning transferable subspace for human motion segmentation L Wang, Z Ding Proceedings of the National Conference on Artificial Intelligence (AAAI), 2018 | 34 | 2018 |
| 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 | 33 | 2019 |
| 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 | 30 | 2020 |
| I3dol: Incremental 3d object learning without catastrophic forgetting J Dong, Y Cong, G Sun, B Ma, L Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6066-6074, 2021 | 28 | 2021 |
| Semi-supervised dual relation learning for multi-label classification L Wang, Y Liu, H Di, C Qin, G Sun, Y Fu IEEE Transactions on Image Processing 30, 9125-9135, 2021 | 27 | 2021 |
| 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 | 27 | 2020 |
| Semi-supervised domain adaptive structure learning C Qin, L Wang, Q Ma, Y Yin, H Wang, Y Fu IEEE Transactions on Image Processing 31, 7179-7190, 2022 | 24 | 2022 |
| Domain generalization via feature variation decorrelation C Liu, L Wang, K Li, Y Fu Proceedings of the 29th ACM International Conference on Multimedia, 1683-1691, 2021 | 24 | 2021 |
Yun Raymond FuNEU, COE Distinguished Professor; MAE, FNAI, FAAAS, FIEEE, FSPIE, FOSA, FIAPRVerified email at neu.edu
