| Multi-modal curriculum learning for semi-supervised image classification C Gong, D Tao, SJ Maybank, W Liu, G Kang, J Yang IEEE Transactions on Image Processing 25 (7), 3249-3260, 2016 | 304 | 2016 |
| Multiscale dynamic graph convolutional network for hyperspectral image classification S Wan, C Gong, P Zhong, B Du, L Zhang, J Yang IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3162-3177, 2019 | 222 | 2019 |
| Are anchor points really indispensable in label-noise learning? X Xia, T Liu, N Wang, B Han, C Gong, G Niu, M Sugiyama Advances in neural information processing systems 32, 2019 | 213 | 2019 |
| Survey on multi-output learning D Xu, Y Shi, IW Tsang, YS Ong, C Gong, X Shen IEEE transactions on neural networks and learning systems 31 (7), 2409-2429, 2019 | 166 | 2019 |
| Saliency propagation from simple to difficult C Gong, D Tao, W Liu, SJ Maybank, M Fang, K Fu, J Yang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 161 | 2015 |
| Label propagation via teaching-to-learn and learning-to-teach C Gong, D Tao, W Liu, L Liu, J Yang IEEE transactions on neural networks and learning systems 28 (6), 1452-1465, 2016 | 133 | 2016 |
| Violent video detection based on MoSIFT feature and sparse coding L Xu, C Gong, J Yang, Q Wu, L Yao 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 129 | 2014 |
| Deformed graph Laplacian for semisupervised learning C Gong, T Liu, D Tao, K Fu, E Tu, J Yang IEEE transactions on neural networks and learning systems 26 (10), 2261-2274, 2015 | 126 | 2015 |
| Integrating prediction and reconstruction for anomaly detection Y Tang, L Zhao, S Zhang, C Gong, G Li, J Yang Pattern Recognition Letters 129, 123-130, 2020 | 116 | 2020 |
| Robust early-learning: Hindering the memorization of noisy labels X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang International conference on learning representations, 2021 | 114 | 2021 |
| A regularization approach for instance-based superset label learning C Gong, T Liu, Y Tang, J Yang, J Yang, D Tao IEEE transactions on cybernetics 48 (3), 967-978, 2017 | 99 | 2017 |
| Hyperspectral image classification with context-aware dynamic graph convolutional network S Wan, C Gong, P Zhong, S Pan, G Li, J Yang IEEE Transactions on Geoscience and Remote Sensing 59 (1), 597-612, 2020 | 95 | 2020 |
| Anomaly detection on attributed networks via contrastive self-supervised learning Y Liu, Z Li, S Pan, C Gong, C Zhou, G Karypis IEEE transactions on neural networks and learning systems 33 (6), 2378-2392, 2021 | 85 | 2021 |
| Contrastive and generative graph convolutional networks for graph-based semi-supervised learning S Wan, S Pan, J Yang, C Gong Proceedings of the AAAI conference on artificial intelligence 35 (11), 10049 …, 2021 | 75 | 2021 |
| Importance-aware semantic segmentation for autonomous vehicles B Chen, C Gong, J Yang IEEE Transactions on Intelligent Transportation Systems 20 (1), 137-148, 2018 | 75 | 2018 |
| Coupled bilinear discriminant projection for cross-view gait recognition X Ben, C Gong, P Zhang, R Yan, Q Wu, W Meng IEEE Transactions on Circuits and Systems for Video Technology 30 (3), 734-747, 2019 | 69 | 2019 |
| Robust visual tracking revisited: From correlation filter to template matching F Liu, C Gong, X Huang, T Zhou, J Yang, D Tao IEEE Transactions on Image Processing 27 (6), 2777-2790, 2018 | 60 | 2018 |
| Fick’s law assisted propagation for semisupervised learning C Gong, D Tao, K Fu, J Yang IEEE transactions on neural networks and learning systems 26 (9), 2148-2162, 2014 | 60 | 2014 |
| Coupled patch alignment for matching cross-view gaits X Ben, C Gong, P Zhang, X Jia, Q Wu, W Meng IEEE Transactions on Image Processing 28 (6), 3142-3157, 2019 | 58 | 2019 |
| Multi-scale contrastive siamese networks for self-supervised graph representation learning M Jin, Y Zheng, YF Li, C Gong, C Zhou, S Pan arXiv preprint arXiv:2105.05682, 2021 | 56 | 2021 |
Jian YangProf. of Computer Science, Nanjing University of Science and TechnologyVerified email at njust.edu.cn
