Xingrui Yu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Stereo Matching

Imitation Learning

Top Venues

IEEE Signal Process. Lett.

Publications

Xingrui Yu, Bo Han, Ivor W. Tsang
USN: A Robust Imitation Learning Method against Diverse Action Noise. J. Artif. Intell. Res. 79 (2024)
Xingrui Yu, Yueming Lyu, Ivor W. Tsang
Intrinsic Reward Driven Imitation Learning via Generative Model. ICML (2020)
Xingrui Yu, Yueming Lyu, Ivor W. Tsang
Intrinsic Reward Driven Imitation Learning via Generative Model. CoRR (2020)
Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust. ICML (2020)
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
How does Disagreement Help Generalization against Label Corruption? CoRR (2019)
He Zhang, Xingrui Yu, Peng Ren, Chunbo Luo, Geyong Min
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework. CoRR (2019)
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
How does Disagreement Help Generalization against Label Corruption? ICML (2019)
Huixin Dong, Tingwei Wang, Xingrui Yu, Peng Ren
Stereo Matching via Dual Fusion. IEEE Signal Process. Lett. 25 (5) (2018)
Hui Li, Xingrui Yu, Peng Ren
Typhoon Cloud Prediction Via Generative Adversarial Networks. IGARSS (2018)
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
Co-teaching: Robust training of deep neural networks with extremely noisy labels. NeurIPS (2018)
Xingrui Yu, He Zhang, Chunbo Luo, Hairong Qi, Peng Ren
Oil Spill Segmentation via Adversarial f-Divergence Learning. IEEE Trans. Geosci. Remote. Sens. 56 (9) (2018)
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
Co-sampling: Training Robust Networks for Extremely Noisy Supervision. CoRR (2018)
Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor W. Tsang, Masashi Sugiyama
Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels. CoRR (2018)
Fang Chen, Xingrui Yu, Xiangyuan Jiang, Peng Ren
Level sets with self-guided filtering for marine oil spill segmentation. IGARSS (2017)
He Zhang, Chunbo Luo, Xingrui Yu, Peng Ren
MCMC Based Generative Adversarial Networks for Handwritten Numeral Augmentation. CSPS (2017)