最终学位：博士
导师类型：硕士生导师
电子邮箱：wjhwjh@sxu.edu.cn
联系电话：0351-7010566
研究方向：计算智能、数据挖掘与机器学习
王俊红，博士，副教授，硕士生导师，中国人工智能学会粗糙集与软计算专委会委员，研究方向为计算智能、数据挖掘与机器学习。近年来，主持完成国家自然科学基金青年项目1项、山西省自然科学基金项目1项，参与国家级和省部级项目多项，先后在《Information Sciences》、《Expert Systems with Applications》、《Neurocomputing》、《计算机研究与发展》等国际国内学术期刊发表论文30余篇。
[1] Junhong Wang, Shuliang Xu, Jiye Liang. An ensemble classification algorithm based on information entropy for data streams. Neural Processing Letters, 2019, 50: 2101–2117
[2] Shuliang Xu, Junhong Wang. A fast incremental extreme learning machine algorithm for data streams classification, Expert Systems with Applications, 2016, 65: 332–344
[3] Shuliang Xu, Junhong Wang. Dynamic extreme learning machine for data stream classification. Neurocomputing, 2017, 238: 433-449
[4] JunHong Wang*, YunQian Miao, Alaa Khamis, Fakhri Karray, and Jiye Liang, Adaptation approaches in unsupervised learning: A survey of the state-of-the-art and future directions. Lecture Notes in Computer Science, 2016, 9730: 3-11
[5] Jiye Liang, Junhong Wang, Yuhua Qian. A new measure of uncertainty based on knowledge granulation for rough sets. Information Sciences, 2009, 179(4): 458-470
[6] Junhong Wang, Jiye Liang, Yuhua Qian, Chuangyin Dang. Uncertainty measure of rough sets based on a knowledge granulation of incomplete information systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2008, 16(2): 233-244
[7] Junhong Wang, Jiye Liang, Yuhua Qian. A heuristic method to attribute reduction for concept lattice. International Conference on Machine Learning and Cybernetics，2010, 483-487
[8] Junhong Wang, Jiye Liang, Yuhua Qian, Closed-label concept lattice based rule extraction approach. Lecture Notes in Bioinformatics, 2011, 6840, 690–698.
1. 多概念格集成与知识获取方法研究, 国家自然科学基金青年科学基金项目, 2013.01-2015.12, 主持人
2. 面向时间序列数据的概念格模型、算法及应用, 山西省高校科技开发项目, 2010.05-2012.05, 主持人
3. 基于概念格的序列模式挖掘模型与算法研究, 山西省青年科技基金, 2010.01-2011.12, 主持人