| 2026 | ACL | From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language. | Jiawei Liu, Xun Gong, Muli Yang, Xingrui Yu, Fen Fang, Xulei Yang, Ivor W. Tsang, Yunfeng Hu, Hong Chen, Qing Guo |
| 2026 | ACL | Safety Sidecar: Reflection-Driven Runtime Control for Safer Agents. | Bin Wang, Jiazheng Quan, Xingrui Yu, Hansen Hu, Yu Hao, Anjun Gao, Zhenglin Wan, Hui Li, Ivor W. Tsang |
| 2025 | AAAI | POI Recommendation via Multi-Objective Adversarial Imitation Learning. | Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran |
| 2025 | ICLR | Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration. | Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor W. Tsang, Quanquan Gu |
| 2025 | ICML | 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 W. Tsang |
| 2025 | IJCNN | Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection. | Sijin Sun, Ming Deng, Xingrui Yu, Xingyu Xi, Liangbin Zhao |
| 2025 | IJCNN | HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity Recognition. | Sijin Sun, Ming Deng, Xingrui Yu, Liangbin Zhao |
| 2020 | ICML | 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 |
| 2020 | ICML | Intrinsic Reward Driven Imitation Learning via Generative Model. | Xingrui Yu, Yueming Lyu, Ivor W. Tsang |
| 2019 | ICML | How does Disagreement Help Generalization against Label Corruption? | Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama |
| 2018 | IGARSS | Typhoon Cloud Prediction Via Generative Adversarial Networks. | Hui Li, Xingrui Yu, Peng Ren |
| 2017 | IGARSS | Level sets with self-guided filtering for marine oil spill segmentation. | Fang Chen, Xingrui Yu, Xiangyuan Jiang, Peng Ren |