| 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 | 406 | 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 | 392 | 2019 |
| 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 | 353 | 2016 |
| 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, 2020 | 290 | 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 | 285 | 2021 |
| 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 | 281 | 2019 |
| 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 | 234 | 2020 |
| Multiscale feature enhancement network for salient object detection in optical remote sensing images Z Wang, J Guo, C Zhang, B Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022 | 189* | 2022 |
| 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 | 184 | 2020 |
| 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 | 175 | 2015 |
| 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 | 162 | 2014 |
| 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 | 157 | 2021 |
| 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 | 151 | 2016 |
| 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 | 146 | 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 | 138 | 2017 |
| 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 | 136 | 2015 |
| Importance-aware semantic segmentation for autonomous vehicles B Chen, C Gong, J Yang IEEE Transactions on Intelligent Transportation Systems 20 (1), 137-148, 2018 | 113 | 2018 |
| Feature aggregation and propagation network for camouflaged object detection T Zhou, Y Zhou, C Gong, J Yang, Y Zhang IEEE Transactions on Image Processing 31, 7036-7047, 2022 | 111 | 2022 |
| Cross-level feature aggregation network for polyp segmentation T Zhou, Y Zhou, K He, C Gong, J Yang, H Fu, D Shen Pattern Recognition 140, 109555, 2023 | 100 | 2023 |
| Self-pu: Self boosted and calibrated positive-unlabeled training X Chen, W Chen, T Chen, Y Yuan, C Gong, K Chen, Z Wang International Conference on Machine Learning, 1510-1519, 2020 | 99 | 2020 |
Jian YangProf. of Computer Science, Nanjing University of Science and Technology在 njust.edu.cn 的电子邮件经过验证
