MCMC Based Generative Adversarial Networks for Handwritten Numeral Augmentation. - He Zhang; Chunbo Luo; Xingrui Yu; Peng Ren 001 (CSPS, 2017)

Level sets with self-guided filtering for marine oil spill segmentation. - Fang Chen; Xingrui Yu; Xiangyuan Jiang; Peng Ren 001 (IGARSS, 2017)

Typhoon Cloud Prediction Via Generative Adversarial Networks. - Hui Li 054; Xingrui Yu; Peng Ren 001 (IGARSS, 2018)

Co-teaching: Robust training of deep neural networks with extremely noisy labels. - Bo Han 003; Quanming Yao; Xingrui Yu; Gang Niu 001; Miao Xu 001; Weihua Hu; Ivor W. Tsang; Masashi Sugiyama (NeurIPS, 2018)

Co-sampling: Training Robust Networks for Extremely Noisy Supervision. - Bo Han 003; Quanming Yao; Xingrui Yu; Gang Niu 001; Miao Xu 001; Weihua Hu; Ivor W. Tsang; Masashi Sugiyama (CoRR, 2018)

Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels. - Bo Han 003; Gang Niu 001; Jiangchao Yao; Xingrui Yu; Miao Xu 001; Ivor W. Tsang; Masashi Sugiyama (CoRR, 2018)

Stereo Matching via Dual Fusion. - Huixin Dong; Tingwei Wang; Xingrui Yu; Peng Ren 001 (IEEE Signal Process. Lett., 2018)

Oil Spill Segmentation via Adversarial f-Divergence Learning. - Xingrui Yu; He Zhang; Chunbo Luo; Hairong Qi 001; Peng Ren 001 (IEEE Trans. Geosci. Remote. Sens., 2018)

How does Disagreement Help Generalization against Label Corruption? - Xingrui Yu; Bo Han 003; Jiangchao Yao; Gang Niu 001; Ivor W. Tsang; Masashi Sugiyama (ICML, 2019)

Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework. - He Zhang; Xingrui Yu; Peng Ren 001; Chunbo Luo; Geyong Min (CoRR, 2019)

SIGUA: Forgetting May Make Learning with Noisy Labels More Robust. - Bo Han 003; Gang Niu 001; Xingrui Yu; Quanming Yao; Miao Xu 001; Ivor W. Tsang; Masashi Sugiyama (ICML, 2020)

Intrinsic Reward Driven Imitation Learning via Generative Model. - Xingrui Yu; Yueming Lyu; Ivor W. Tsang (ICML, 2020)

Quality Diversity Imitation Learning. - Zhenglin Wan; Xingrui Yu; David Mark Bossens; Yueming Lyu; Qing Guo 005; Flint Xiaofeng Fan; Ivor W. Tsang (CoRR, 2024)

USN: A Robust Imitation Learning Method against Diverse Action Noise. - Xingrui Yu; Bo Han 003; Ivor W. Tsang (J. Artif. Intell. Res., 2024)

POI Recommendation via Multi-Objective Adversarial Imitation Learning. - Zhenglin Wan; Anjun Gao; Xingrui Yu; Pingfu Chao; Jun Song; Maohao Ran (AAAI, 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 (ICLR, 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 005; Ivor W. Tsang (AAMAS, 2025)

Graph Potential Field Neural Network for Massive Agents Group-wise Path Planning. - Yueming Lyu; Xiaowei Zhou 003; Xingrui Yu; Ivor W. Tsang (Trans. Mach. Learn. Res., 2025)

Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection. - Sijin Sun; Ming Deng; Xingrui Yu; Xinyu Xi; Liangbin Zhao (CoRR, 2025)