教育经历

2014-2019  悉尼大学     计算机科学与技术 博士

2011-2014  北航         模式识别         硕士

2007-2011  河北工业大学 信息与计算科学  本科

工作经历

2024年          北航        教授

2023年          北航        副教授

2019年-2023年  悉尼大学     博士后

研究生课程

高等优化方法

本科生课程

最优化方法

优化算法

计算机视觉

大模型推理

代表性论文

Haotian Zhang, Liu Liu*, Baosheng Yu, Jiayan Qiu, Likang Xiao, Yanwei Ren, Quan Chen, Xianglong Liu, ContextPRM:LeveragingContextualCoherenceformulti-domainTest-TimeScaling, TheFourteenth International Conference on Learning Representations (ICLR),2026.

Yanwei Ren, Haotian Zhang, Fuxiang Wu, Jiayan Qiu, Jiaxing Huang, Baosheng Yu, Liu Liu*. SIGMA: Refining Large Language Model Reasoning via Sibling-Guided Monte Carlo Augmentation. The Thirtyninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

Liu Liu, Xuanqing Liu, Cho-Jui Hsieh, and Dacheng Tao. Stochastic Optimization for Non-convex Problem with Inexact Hessian Matrix, Gradient, and Function. in IEEE Transactionson Neural Networks and Learning Systems (TNNLS), vol. 36, no. 1, pp. 1651-1663, Jan. 2025.

JianqingZhu, Liu Liu*, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao. Attribute-Image Person Re-identification via Modal-Consistent Metric Learning. International Journal of Computer Vision (IJCV), 2023.

Liu Liu, Ji Liu, Dacheng Tao. Variance Reduced Methods for Non-convex Composition Optimization. in IEEETransactionsonPatternAnalysisandMachineIntelligence(T-PAMI),vol. 44,no. 9,pp. 5813-5825, 1 Sept. 2022.