Követés
Lichen Wang
Lichen Wang
Senior Machine Learning Engineer, LinkedIn
E-mail megerősítve itt: northeastern.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
57552018
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
2682021
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
2462019
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
1392019
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
842022
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
65*2021
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
642019
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
502021
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
502020
Low-rank transfer human motion segmentation
L Wang, Z Ding, Y Fu
IEEE Transactions on Image Processing 28 (2), 1023-1034, 2018
462018
Adaptive Graph Guided Embedding for Multi-label Annotation.
L Wang, Z Ding, Y Fu
International Joint Conferences on Artificial Intelligence (IJCAI), 2798-2804, 2018
432018
Learning transferable subspace for human motion segmentation
L Wang, Z Ding
Proceedings of the National Conference on Artificial Intelligence (AAAI), 2018
352018
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
342020
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
342019
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
322020
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
302021
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
292021
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
292020
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
282022
Slow learning and fast inference: Efficient graph similarity computation via knowledge distillation
C Qin, H Zhao, L Wang, H Wang, Y Zhang, Y Fu
Advances in Neural Information Processing Systems 34, 14110-14121, 2021
262021
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