A novel support vector regression algorithm incorporated with prior knowledge and error compensation for small datasets. - Zhenyu Liu 005; Yunkun Xu; Chan Qiu; Jianrong Tan (Neural Comput. Appl., 2019)

Stochastic Isogeometric Analysis for Reliability Evaluation of Shell Structures Based on Multi-scale Support Vector Regression. - Minglong Yang; Jin Cheng 001; Yunkun Xu; Zhenyu Liu 005 (ICVISP, 2020)

Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention. - Yunkun Xu; Zhenyu Liu 005; Guifang Duan; Jiangcheng Zhu; Xiaolong Bai; Jianrong Tan (CoRL, 2021)

Accurate on-line support vector regression incorporated with compensated prior knowledge. - Zhenyu Liu 005; Yunkun Xu; Guifang Duan; Chan Qiu; Jianrong Tan (Neural Comput. Appl., 2021)

Hand-in-Hand Guidance: An Explore-Exploit Based Reinforcement Learning Method for Performance Driven Assembly-Adjustment. - Guifang Duan; Yunkun Xu; Zhenyu Liu 005; Jianrong Tan (IEEE Trans. Ind. Informatics, 2023)

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. - Chengao Li; Hanyu Zhang; Yunkun Xu; Hongyan Xue; Xiang Ao 001; Qing He 003 (ACL (1), 2025)