备用邮箱
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工作邮箱:yuhang@shu.edu.cn
Published:
工作邮箱:yuhang@shu.edu.cn
Published in IEEE Transactions on Neural Networks and Learning Systems, 2019
JCR 1区,中科院1区,CCF B,影响因子:10.451
Recommended citation: Yu H, Lu J, Zhang G. Online topology learning by a gaussian membership-based self-organizing incremental neural network[J]. IEEE transactions on neural networks and learning systems, 2019, 31(10): 3947-3961. https://ieeexplore.ieee.org/document/8897716
Published in IEEE Transactions on Knowledge and Data Engineering, 2020
JCR 1区,中科院2区,CCF A类,影响因子:6.977
Recommended citation: Yu H, Lu J, Zhang G. An online robust support vector regression for data streams[J]. IEEE Transactions on Knowledge and Data Engineering, 2020, 34(1): 150-163. https://ieeexplore.ieee.org/document/9034023
Published in IEEE Transactions on Cybernetics, 2020
JCR 1区,中科院1区,CCF B,影响因子:10.451
Recommended citation: Yu H, Lu J, Zhang G. Continuous support vector regression for nonstationary streaming data[J]. IEEE transactions on cybernetics, Early Access, 2020. https://ieeexplore.ieee.org/document/9194301
Published in IEEE Transactions on Fuzzy Systems, 2020
JCR 1区,中科院1区,CCF B类,影响因子:12.029.
Recommended citation: Yu H, Lu J, Zhang G. Topology learning-based fuzzy random neural network for streaming data regression[J]. IEEE Transactions on Fuzzy Systems, 2020. https://ieeexplore.ieee.org/document/9265257
Published in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021
JCR 1区,中科院1区,影响因子:12.029.
Recommended citation: Yu H, Lu J, Zhang G. MORStreaming: A Multioutput Regression System for Streaming Data[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, Early Access, 2021. https://ieeexplore.ieee.org/document/9526914
Published in IEEE Transactions on Intelligent Transportation Systems, 2022
JCR 1区,中科院2区,CCF B类,影响因子:6.492
Recommended citation: Yu H, Lu J, Liu A, et al. Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning[J]. IEEE Transactions on Intelligent Transportation Systems, Early Access,2022. https://ieeexplore.ieee.org/document/9678130
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本科生课程, 上海大学, 计算机工程与科学学院, 2021
每年春季学期
研究生课程, 上海大学, 面向全校研究生, 2022
每年春季学期
本科生课程, 上海大学,计算机工程与科学学院, 2022
每年秋季学期