| Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels B Han, Q Yao, X Yu, G Niu, M Xu, W Hu, I Tsang, M Sugiyama Advances in Neural Information Processing Systems, 2018 | 2105 | 2018 |
| How does Disagreement help Generalization against Label Corruption? X Yu, B Han, J Yao, G Niu, IW Tsang, M Sugiyama International Conference on Machine Learning, 2019 | 812 | 2019 |
| Deep Learning in Remote Sensing Scene Classification: A Data Augmentation Enhanced Convolutional Neural Network Framework X Yu, X Wu, C Luo, P Ren GIScience & Remote Sensing 54 (5), 741-758, 2017 | 280 | 2017 |
| SIGUA: Forgetting May Make Learning with Noisy Labels More Robust B Han, G Niu, X Yu, Q Yao, M Xu, IW Tsang, M Sugiyama International Conference on Machine Learning, 2020 | 121 | 2020 |
| Deep adversarial learning in intrusion detection: A data augmentation enhanced framework H Zhang, X Yu, P Ren, C Luo, G Min arXiv preprint arXiv:1901.07949, 2019 | 63 | 2019 |
| Oil Spill Segmentation via Adversarial -Divergence Learning X Yu, H Zhang, C Luo, H Qi, P Ren IEEE Transactions on Geoscience and Remote Sensing 56 (9), 4973 - 4988, 2018 | 48 | 2018 |
| Intrinsic Reward Driven Imitation Learning via Generative Model X Yu, Y Lyu, I Tsang International Conference on Machine Learning, 2020 | 44 | 2020 |
| Deep Learning for Vision-based Micro Aerial Vehicle Autonomous Landing L Yu, C Luo, X Yu, X Jiang, E Yang, C Luo, P Ren International Journal of Micro Air Vehicles 10 (2), 171-185, 2018 | 27 | 2018 |
| Stereo Matching via Dual Fusion H Dong, T Wang, X Yu, P Ren IEEE Signal Processing Letters 25 (5), 615-619, 2018 | 6 | 2018 |
| Level Sets with Self-guided Filtering for Marine Oil Spill Segmentation F Chen, X Yu, X Jiang, P Ren 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 6 | 2017 |
| Typhoon cloud prediction via generative adversarial networks H Li, X Yu, P Ren IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 4 | 2018 |
| MCMC based Generative Adversarial Networks for Handwritten Numeral Augmentation H Zhang, C Luo, X Yu, P Ren International Conference in Communications, Signal Processing, and Systems …, 2017 | 3 | 2017 |
| How does Uncertainty-aware Sample-selection Help Decision against Action Noise? X Yu, B Han, I Tsang | 1 | 2023 |
| USN: A Robust Imitation Learning Method against Diverse Action Noise X Yu, B Han, IW Tsang Journal of Artificial Intelligence Research 79, 1237-1280, 2024 | | 2024 |
| Robust Imitation Learning with Weak Demonstrations X Yu PQDT-Global, 2022 | | 2022 |
| A Comparative Study of Reinforcement Learning-based Collision Avoidance for Maritime Autonomous Surface Ships L Zhao, X Yu, X Fu | | |
| Fine-Grained Partial Label Learning C Chen, Y Lyu, X Yu, J Li, IW Tsang | | |
| Learning Efficient Planning-based Rewards for Imitation Learning X Yu, Y Lyu, I Tsang | | |
| A Simple Sparse Denoising Layer for Robust Deep Learning Y Lyu, X Yu, I Tsang | | |
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STAR在 cfar.a-star.edu.sg 的电子邮件经过验证
