个人简介

教育背景

工作经历

科研成果 (部分)

1. Chun-Na Li, Yiwei Song, Yuan-Hai Shao. Domain Adaptation via Learning Using Statistical Invariant. IEEE Transactions on Knowledge and Data Engineering, 2025, 37(7): 4023-4034.
2. Ling-Wei Huang, Yuan-Hai Shao, Xiao-Jing Lv, Chun-Na Li. Large-scale robust regression with truncated loss via majorization-minimization algorithm. European Journal of Operational Research, 2024, 319(2): 494-504.
3. Zhen Wang, Lan Bai, Yuan-Hai Shao*. Generalization Memorization Machine with zero empirical risk for classification. Pattern Recognition, 2024, 110469.
4. Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu*. Support Vector Machine Classifier via L0/1 Soft-Margin Loss. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44(10): 7253-7265.
5. Zhen Wang, Yuan-Hai Shao*, Lan Bai, Chun-Na Li, Li-Ming Liu. General Plane-Based Clustering With Distribution Loss. IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(9): 3880-3893.
6. 邵元海，刘黎明，黄凌伟，邓乃扬 *. 支持向量机的关键问题和展望。中国科学：数学，2020, 50 (9): 1233-1248.
7. Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu. Joint sample and feature selection via sparse primal and dual LSSVM. Knowledge-Based Systems, 2019, 185: 1-8.
8. Yuan-Hai Shao, Nai-Yang Deng*. The equivalence between principal component analysis and nearest flat in the least square sense. Journal of Optimization Theory and Applications, 2015, 166(1): 278-284.
9. Zhen Wang*, Yuan-Hai Shao*, Lan Bai, Nai-Yang Deng. Twin Support Vector Machine for Clustering. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(10): 2583-2588.
10. Yuan-Hai Shao, Chun-Hua Zhang, Xiao-Bo Wang, Nai-Yang Deng*. Improvements on Twin Support Vector Machines. IEEE Transactions on Neural Networks, 2011: 962-968.