Wenbing Huang
Wenbing Huang
Associate Professor, Renmin University of China
Verified email at - Homepage
Cited by
Cited by
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Y Rong, W Huang*, T Xu, J Huang
ICLR, 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data
Y Rong, Y Bian, T Xu, W Xie, Y Wei, W Huang*, J Huang
NeurIPS 33, 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
T Bian, X Xiao, T Xu, P Zhao, W Huang, Y Rong, J Huang
AAAI, 2020
Graph convolutional networks for temporal action localization
R Zeng, W Huang*, M Tan, Y Rong, P Zhao, J Huang, C Gan
ICCV, 7094-7103, 2019
Adaptive sampling towards fast graph representation learning
W Huang, T Zhang, Y Rong, J Huang
NeurIPS, 4558-4567, 2018
Graph Representation Learning via Graphical Mutual Information Maximization
Z Peng, W Huang*, M Luo*, Q Zheng, Y Rong, T Xu, J Huang
WWW, 2020
Progressive feature alignment for unsupervised domain adaptation
C Chen, W Xie, W Huang, Y Rong, X Ding, Y Huang, T Xu, J Huang
CVPR, 627-636, 2019
A fast and accurate one-stage approach to visual grounding
Z Yang, B Gong, L Wang, W Huang, D Yu, J Luo
ICCV, 4683-4693, 2019
Beyond rnns: Positional self-attention with co-attention for video question answering
X Li, J Song, L Gao, X Liu, W Huang, X He, C Gan
AAAI, 8658-8665, 2019
Dense regression network for video grounding
R Zeng, H Xu, W Huang, P Chen, M Tan, C Gan
CVPR, 2020
Deep feature pyramid reconfiguration for object detection
T Kong, F Sun, C Tan, H Liu, W Huang
ECCV, 169-185, 2018
End-to-end learning of motion representation for video understanding
L Fan, W Huang*, C Gan, S Ermon, B Gong, J Huang
CVPR, 6016-6025, 2018
Deep multimodal fusion by channel exchanging
Y Wang, W Huang, F Sun, T Xu, Y Rong, J Huang
NeurIPS 33, 4835-4845, 2020
Reusing Discriminators for Encoding Towards Unsupervised Image-to-Image Translation
R Chen, W Huang, B Huang, F Sun, B Fang
CVPR, 2020
Weakly supervised dense event captioning in videos
X Duan, W Huang, C Gan, J Wang, W Zhu, J Huang
NeurIPS, 3059-3069, 2018
The General Black-box Attack Method for Graph Neural Networks
H Chang, Y Rong, T Xu, W Huang, H Zhang, P Cui, W Zhu, J Huang
AAAI, 2020
Semi-supervised graph classification: A hierarchical graph perspective
J Li, Y Rong, H Cheng, H Meng, W Huang, J Huang
WWW, 972-982, 2019
Multimodal Token Fusion for Vision Transformers
Y Wang, X Chen, L Cao, W Huang, F Sun, Y Wang
CVPR, 12186-12195, 2022
Transformer for graphs: An overview from architecture perspective
E Min, R Chen, Y Bian, T Xu, K Zhao, W Huang, P Zhao, J Huang, ...
arXiv preprint arXiv:2202.08455, 2022
Tackling Over-Smoothing for General Graph Convolutional Networks
W Huang, Y Rong, T Xu, F Sun, J Huang
arXiv preprint arXiv:2008.09864, 2020
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