Xingrui Yu

According to our database, Xingrui Yu authored at least 19 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection.

Sijin Sun, Ming Deng, Xingrui Yu, Xinyu Xi, Liangbin Zhao

CoRR, March, 2025

Graph Potential Field Neural Network for Massive Agents Group-wise Path Planning.

Yueming Lyu, Xiaowei Zhou, Xingrui Yu, Ivor W. Tsang

Trans. Mach. Learn. Res., 2025

Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration.

Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration.

Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor W. Tsang, Quanquan Gu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

POI Recommendation via Multi-Objective Adversarial Imitation Learning.

Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

USN: A Robust Imitation Learning Method against Diverse Action Noise.

Xingrui Yu, Bo Han, Ivor W. Tsang

J. Artif. Intell. Res., 2024

Quality Diversity Imitation Learning.

Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang

CoRR, 2024

2020

Intrinsic Reward Driven Imitation Learning via Generative Model.

Xingrui Yu, Yueming Lyu, Ivor W. Tsang

Proceedings of the 37th International Conference on Machine Learning, 2020

SIGUA: Forgetting May Make Learning with Noisy Labels More Robust.

Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework.

He Zhang, Xingrui Yu, Peng Ren, Chunbo Luo, Geyong Min

CoRR, 2019

How does Disagreement Help Generalization against Label Corruption?

Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Oil Spill Segmentation via Adversarial f-Divergence Learning.

Xingrui Yu, He Zhang, Chunbo Luo, Hairong Qi, Peng Ren

IEEE Trans. Geosci. Remote. Sens., 2018

Stereo Matching via Dual Fusion.

Huixin Dong, Tingwei Wang, Xingrui Yu, Peng Ren

IEEE Signal Process. Lett., 2018

Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels.

Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor W. Tsang, Masashi Sugiyama

CoRR, 2018

Co-sampling: Training Robust Networks for Extremely Noisy Supervision.

Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama

CoRR, 2018

Co-teaching: Robust training of deep neural networks with extremely noisy labels.

Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Typhoon Cloud Prediction Via Generative Adversarial Networks.

Hui Li, Xingrui Yu, Peng Ren

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Level sets with self-guided filtering for marine oil spill segmentation.

Fang Chen, Xingrui Yu, Xiangyuan Jiang, Peng Ren

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

MCMC Based Generative Adversarial Networks for Handwritten Numeral Augmentation.

He Zhang, Chunbo Luo, Xingrui Yu, Peng Ren

Proceedings of the Communications, Signal Processing, and Systems, 2017