Lichen Wang
Lichen Wang
Applied Scientist, Zillow
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
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
17972018
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
672019
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
422019
Low-rank transfer human motion segmentation
L Wang, Z Ding, Y Fu
IEEE Transactions on Image Processing 28 (2), 1023-1034, 2018
342018
Learning transferable subspace for human motion segmentation
L Wang, Z Ding
Proceedings of the National Conference on Artificial Intelligence (AAAI), 2018
272018
Adaptive Graph Guided Embedding for Multi-label Annotation.
L Wang, Z Ding, Y Fu
International Joint Conferences on Artificial Intelligence (IJCAI), 2798-2804, 2018
212018
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
192019
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
17*2021
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
162020
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
132021
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
132020
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
122019
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
92020
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
52019
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
42020
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
32021
Generic multi-label annotation via adaptive graph and marginalized augmentation
L Wang, Z Ding, Y Fu
ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (1), 1-20, 2021
22021
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
22020
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
22019
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
22015
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