Yu, Xingrui

9 publications

ICLR 2025 Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor Tsang, Quanquan Gu
ICML 2025 Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor Tsang
TMLR 2025 Graph Potential Field Neural Network for Massive Agents Group-Wise Path Planning Yueming Lyu, Xiaowei Zhou, Xingrui Yu, Ivor Tsang
AAAI 2025 POI Recommendation via Multi-Objective Adversarial Imitation Learning Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran
JAIR 2024 USN: A Robust Imitation Learning Method Against Diverse Action Noise Xingrui Yu, Bo Han, Ivor W. Tsang
ICML 2020 Intrinsic Reward Driven Imitation Learning via Generative Model Xingrui Yu, Yueming Lyu, Ivor Tsang
ICML 2020 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor Tsang, Masashi Sugiyama
ICML 2019 How Does Disagreement Help Generalization Against Label Corruption? Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor Tsang, Masashi Sugiyama
NeurIPS 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 Tsang, Masashi Sugiyama