Correspondence:
Yuan-Hai Shao received his B.S. degree in information and computing science in College of Mathematics from Jilin University, the master's degree in applied mathematics, and Ph.D. degree in operations research and management in College of Science from China Agricultural University, China, in 2006, 2008, and 2011, respectively. Currently, he is a Professor at the School of Mathematics and Statistics,Hainan University. His research interests include support vector machines, complete statistical learning theory , data mining, machine learning, and optimization methods. He has published over 100 refereed papers on these areas.
Publications:
Highlighted publications
Zhen Wang, Lan Bai, Yuan-Hai Shao*. Generalization Memorization Machine with zero empirical risk for classification, Pattern Recognition, 2024,110469.
Huajun Wang; Yuanhai 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.
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 2021, 32 (9), 3880-3893.
Chun-Na Li, Yuan-Hai Shao*, Wotao Yin, Ming-Zeng Liu. Robust and sparse linear discriminant analysis via alternating direction method of multipliers, IEEE Transactions on Neural Networks and Learning Systems, 2019, 31(3): 915-926.
Zhen Wang, Yuan-Hai Shao*,Lan Bai, Li-Ming Liu, Nai-Yang Deng. Insensitive stochastic gradient twin support vector machines for large scale problems, Information Sciences, 2018, 462: 114-131 .
Wei-Jie Chen, Yuan-Hai Shao*,Chun-Na Li, Nai-Yang Deng. MLTSVM: A novel twin support vector machine to
multi-label learning[J]. Pattern Recognition 2016, 52: 61-74. (SCI, IF:3.096)
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.
Chun-Na Li, Yuan-Hai Shao*, Nai-Yang Deng. Robust L1-norm two-dimensional linear discriminant analysis, Neural Networks, 2015, 65: 92-104.
Yuan-Hai Shao, Wei-Jie Chen, Jing-jing Zhang, Zhen Wang, Nai-Yang Deng*. An efficient weighted Lagrangian twin support vector machine for imbalanced data classification, Pattern Recognition, 2014, 47(9): 3158-3167.
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.
All publications
see [ Optimal-group publications ] [ Citations at Google Scholar ]
[ Citations at DBLP ]
招生信息:
目前招收网络空间安全（人工智能）专业博士生，数学、电子信息等专业硕士研究生。
建议联系我之前先对我们的研究方向做一些了解。欢迎对数据挖掘与机器学习、大数据分析和最优化感兴趣的同学加入OPTIMAL团队。兴趣是最好的选择，希望志同道合的人在一起，有凝聚力。
招生要求：对团队研究方向有兴趣、有团队精神、有较好的数学或计算机功底。
混学位、消极厌世、不思进取的同学建议不要联系我。
Last update: Apr 7, 2024
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