| Dropedge: Towards deep graph convolutional networks on node classification Y Rong, W Huang, T Xu, J Huang ICLR 2020 (arXiv preprint arXiv:1907.10903), 2019 | 2118 | 2019 |
| Self-supervised graph transformer on large-scale molecular data Y Rong, Y Bian, T Xu, W Xie, Y Wei, W Huang, J Huang Advances in neural information processing systems 33, 12559-12571, 2020 | 1183 | 2020 |
| Adaptive graph convolutional neural networks R Li, S Wang, F Zhu, J Huang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 1090 | 2018 |
| 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 Proceedings of the AAAI conference on artificial intelligence 34 (01), 549-556, 2020 | 933 | 2020 |
| Discrimination-aware channel pruning for deep neural networks Z Zhuang, M Tan, B Zhuang, J Liu, Y Guo, Q Wu, J Huang, J Zhu NeurIPS 2018 (arXiv preprint arXiv:1810.11809), 2018 | 831 | 2018 |
| Graph representation learning via graphical mutual information maximization Z Peng, W Huang, M Luo, Q Zheng, Y Rong, T Xu, J Huang Proceedings of the web conference 2020, 259-270, 2020 | 771 | 2020 |
| Transformer-based unsupervised contrastive learning for histopathological image classification X Wang, S Yang, J Zhang, M Wang, J Zhang, W Yang, J Huang, X Han Medical image analysis 81, 102559, 2022 | 753 | 2022 |
| Large-scale multi-view spectral clustering via bipartite graph Y Li, F Nie, H Huang, J Huang Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 719 | 2015 |
| Adaptive sampling towards fast graph representation learning W Huang, T Zhang, Y Rong, J Huang NeurIPS 2018 (arXiv preprint arXiv:1809.05343), 2018 | 697 | 2018 |
| Learning multiscale active facial patches for expression analysis L Zhong, Q Liu, P Yang, J Huang, DN Metaxas IEEE transactions on cybernetics 45 (8), 1499-1510, 2014 | 695 | 2014 |
| Graph convolutional networks for temporal action localization R Zeng, W Huang, M Tan, Y Rong, P Zhao, J Huang, C Gan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 681 | 2019 |
| Learning with structured sparsity J Huang, T Zhang, D Metaxas Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 678 | 2009 |
| The benefit of group sparsity J Huang, T Zhang The Annals of Statistics 38 (4), 1978-2004, 2010 | 658 | 2010 |
| Smiles-bert: large scale unsupervised pre-training for molecular property prediction S Wang, Y Guo, Y Wang, H Sun, J Huang Proceedings of the 10th ACM international conference on bioinformatics …, 2019 | 622 | 2019 |
| Robust tracking using local sparse appearance model and k-selection B Liu, J Huang, L Yang, C Kulikowsk CVPR 2011, 1313-1320, 2011 | 617 | 2011 |
| Progressive feature alignment for unsupervised domain adaptation C Chen, W Xie, W Huang, Y Rong, X Ding, Y Huang, T Xu, J Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 603 | 2019 |
| Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks J Yao, X Zhu, J Jonnagaddala, N Hawkins, J Huang Medical image analysis 65, 101789, 2020 | 573 | 2020 |
| scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data F Yang, W Wang, F Wang, Y Fang, D Tang, J Huang, H Lu, J Yao Nature Machine Intelligence 4 (10), 852-866, 2022 | 540 | 2022 |
| Vision-language pre-training with triple contrastive learning J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 437 | 2022 |
| Wsisa: Making survival prediction from whole slide histopathological images X Zhu, J Yao, F Zhu, J Huang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 398 | 2017 |
Yu RongAlibaba DAMO AcademyVerified email at alibaba-inc.com
