Yu Xingrui

scientist---yu-xingrui

Research Area

  • Trustworthy AI (Robustness, Safety, Security, and Privacy)
  • Inverse Reinforcement Learning
  • Embodied AI
  • Agentic AI

Award

  • UTS AAII Best Student Paper Award, 2020
  • ICML Travel Award 2019
  • NeurIPS Travel Award 2018

Publications

1. Zhenglin Wan*, Xingrui Yu*†, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor Tsang. Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity. In International Conference on Machine Learning (ICML), 2025.

2. Heyang Zhao*, Xingrui Yu*, David Mark Bossens*, Ivor W. Tsang, Quanquan Gu. Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration. In International Conference on Learning Representations (ICLR), 2025.

3. Zhenglin Wan*, Anjun Gao*, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran. Next-POI Recommendation via Multi-Objective Adversarial Imitation Learning. In AAAI Conference on Artificial Intelligence (AAAI), 2025.

4. Xingrui Yu*†, Zhenglin Wan*, David Mark Bossens, Yueming Lyu, Qing Guo, and Ivor W. Tsang. Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2025.

5. Xingrui Yu, Bo Han, Ivor W. Tsang. USN: A Robust Imitation Learning Method against Diverse Action Noise. Journal of Artificial Intelligence Research (JAIR), 2024.

6. Xingrui Yu, Yueming LYU, Ivor W. Tsang. Intrinsic Reward Driven Imitation Learning via Generative Model. International Conference on Machine Learning (ICML), 2020.

7. Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama. How does Disagreement Help Generalization against Label Corruption? International Conference on Machine Learning (ICML), 2019.

8. Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor Tsang, and Masashi Sugiyama. Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels. Advances in Neural Information Processing Systems (NeurIPS), 2018.

9. Xingrui Yu, He Zhang, Chunbo Luo, Hairong Qi, and Peng Ren. Oil Spill Segmentation via Adversarial f -Divergence Learning. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 56(9): 4973-4988, 2018.

Research Services

  • Conference Reviewer: ICLR, ICML, NeurIPS, AAAI, IJCAI
  • Journal Reviewer: IEEE TPAMI, JAIR, Machine Learning