Xingrui Yu
Xingrui Yu
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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
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
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
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
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
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
Intrinsic Reward Driven Imitation Learning via Generative Model
X Yu, Y Lyu, I Tsang
International Conference on Machine Learning, 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
Stereo Matching via Dual Fusion
H Dong, T Wang, X Yu, P Ren
IEEE Signal Processing Letters 25 (5), 615-619, 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
Typhoon cloud prediction via generative adversarial networks
H Li, X Yu, P Ren
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 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
How does Uncertainty-aware Sample-selection Help Decision against Action Noise?
X Yu, B Han, I Tsang
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
Robust Imitation Learning with Weak Demonstrations
X Yu
PQDT-Global, 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
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