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性别：男
民族：汉
系所：软件工程系
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职称：讲师（高校）
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电子邮箱：jesenbt@qq.com
焦博韬
- 个人简介焦博韬，博士。2019年6月毕业于中国矿业大学电气工程及其自动化专业，获工学学士学位；2024年6月毕业于中国矿业大学控制科学与工程专业，获工程博士学位；2022年11月~2023年12月赴新西兰维多利亚大学（Victoria University of Wellington）交流学习一年，导师为新西兰皇家科学院院士Mengjie Zhang。2024年6月入职中国石油大学（华东）青岛软件学院、计算机科学与技术学院。担任TNNLS、TEVC、TCYB、TAI等国际期刊、会议的审稿人。谷歌学术：https://scholar.google.com/citations?user=SQzAshEAAAAJ&hl=zh-CN&oi=ao
- 研究领域动态数据流挖掘，集成学习，进化计算
- 论文论著1．Botao Jiao, Yinan Guo and Shengxiang Yang et al. Reduced-space Multistream Classification based on Multi-objective Evolutionary Optimization. IEEE Transactions on Evolutionary Computation, 2023, 27(4): 764–777.（IF:16.497，中科院一区Top期刊）
2．Botao Jiao, Yinan Guo, Dunwei Gong and Qiuju Chen. Dynamic Ensemble Selection for Imbalanced Data Streams with Concept Drift. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(1): 1278–1291.（IF:14.255，中科院一区Top期刊）
3．Botao Jiao, Yinan Guo and Cuie Yang et al. Incremental Weighted Ensemble for Data Streams with Concept Drift. IEEE Transactions on Artificial Intelligence, 2024, 5(1): 92–103. （IEEE Trans，SCI源刊）
4．Botao Jiao, Yinan Guo and Ying Tan et al. A Transfer Weighted Extreme Learning Machine for Imbalance Classification. International Journal of Intelligent Systems, 2022, 37(10): 7685–7705.（IF:8.993，中科院二区Top期刊）
5．Yinan Guo, Botao Jiao and Lingkai Yang et al. A Novel Oversampling Technique Based on the Manifold Distance for Class Imbalance Learning. International Journal of Bio-Inspired Computation, 2021, 18(3): 131–142.（IF: 3.295，中科院三区期刊）
6．Jian Cheng, Botao Jiao, Yinan Guo, Shijie Wang. Ensemble Recognition Based on the Harmonic Information Gain Ratio for Unsafe Behaviors in Coal Mines. International Conference on Swarm Intelligence (ICSI), 2021. (EI)
7．Yinan Guo, Jiayang Pu and Botao Jiao（通讯）et al. “Online Semi-supervised Active Learning Ensemble Classification for Evolving Imbalanced Data Streams.”Applied Soft Computing, 2024, DOI: 10.1016/j.asoc.2024.111452. （IF:8.699，中科院一区Top期刊）
8．Yinan Guo, Yaoqi Chu and Botao Jiao et al. Evolutionary Dual-Ensemble Class Imbalance Learning for Human Activity Recognition. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(4): 728–739. （IF: 4.851，中科院三区期刊）
9．Yinan Guo, Jiawei Feng and Botao Jiao et al. Manifold cluster-based evolutionary ensemble imbalance learning. Computers & Industrial Engineering , 2021, 18, 107523-107536. （IF:7.180，中科院二区期刊）
10．Yinan Guo, Jiawei Feng and Botao Jiao et al. A dual evolutionary bagging for class imbalance learning. Expert Systems with Applications, 2022, 37, 7685-7705. （IF:8.665，中科院一区Top期刊） - 获得荣誉1． 中国仿真学会优秀论文.
2． 第五届智能优化与调度学术会议优秀论文特等奖
3． 中国矿业大学优秀博士论文