| End-to-end learning of motion representation for video understanding W Huang, L Fan, C Gan, S Ermon, B Gong, J Huang CVPR, 6016-6025, 2018 | 112 | 2018 |
| Adaptive sampling towards fast graph representation learning W Huang, T Zhang, Y Rong, J Huang NeurIPS, 4558-4567, 2018 | 109 | 2018 |
| DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Y Rong, W Huang*, T Xu, J Huang ICLR, 2020 | 83* | 2020 |
| Deep feature pyramid reconfiguration for object detection T Kong, F Sun, C Tan, H Liu, W Huang ECCV, 169-185, 2018 | 79 | 2018 |
| Graph convolutional networks for temporal action localization W Huang, R Zeng, M Tan, Y Rong, P Zhao, J Huang, C Gan ICCV, 7094-7103, 2019 | 76* | 2019 |
| 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 | 73 | 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 | 61 | 2019 |
| Object classification and grasp planning using visual and tactile sensing F Sun, C Liu, W Huang, J Zhang IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (7), 969-979, 2016 | 46 | 2016 |
| Building feature space of extreme learning machine with sparse denoising stacked-autoencoder L Cao, W Huang, F Sun Neurocomputing 174, 60-71, 2016 | 43 | 2016 |
| Scalable gaussian process regression using deep neural networks W Huang, D Zhao, F Sun, H Liu, E Chang IJCAI, 2015 | 39 | 2015 |
| Sparse coding and dictionary learning with linear dynamical systems W Huang, F Sun, L Cao, D Zhao, H Liu, M Harandi CVPR, 3938-3947, 2016 | 36 | 2016 |
| Weakly supervised dense event captioning in videos W Huang, X Duan, C Gan, J Wang, W Zhu, J Huang NeurIPS, 3059-3069, 2018 | 30 | 2018 |
| 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 | 27 | 2019 |
| Neural collaborative subspace clustering T Zhang, P Ji, M Harandi, W Huang, H Li ICML, 2019 | 25 | 2019 |
| Semi-supervised graph classification: A hierarchical graph perspective J Li, Y Rong, H Cheng, H Meng, W Huang, J Huang WWW, 972-982, 2019 | 24 | 2019 |
| Breaking winner-takes-all: Iterative-winners-out networks for weakly supervised temporal action localization R Zeng, C Gan, P Chen, W Huang, Q Wu, M Tan IEEE Transactions on Image Processing 28 (12), 5797-5808, 2019 | 23 | 2019 |
| Efficient spatio-temporal tactile object recognition with randomized tiling convolutional networks in a hierarchical fusion strategy L Cao, R Kotagiri, F Sun, H Li, W Huang, ZMM Aye AAAI, 2016 | 21 | 2016 |
| 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 | 20 | 2020 |
| Toward efficient action recognition: Principal backpropagation for training two-stream networks W Huang, L Fan, M Harandi, L Ma, H Liu, W Liu, C Gan IEEE Transactions on Image Processing 28 (4), 1773-1782, 2019 | 20 | 2019 |
| 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 | 16* | 2020 |
Junzhou HuangAssociate Professor of Computer Science and Engineering at University of Texas at ArlingtonVerified email at uta.edu
