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Published:
安徽XXX法院, 横向项目, 智能辅助办案软件系统研发, 2023年04月 至 2026年03月, 在研, 主持
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中冶焦耐(大连)工程技术有限公司, 横向课题, 焦炉加热系统数字孪生平台, 2023年01月 至 2025年01月, 在研, 主持
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胜利油田勘探开发研究院, 横向课题, 地质模式约束的非均质储层精细刻画, 2022年08月 至 2023年12月, 在研, 主持
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上海市科学技术委员会, 纵向课题, 面向支付交易场景的异常动态行为侦测方法研究, 2022年04月 至 2025年03月, 在研, 主持
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中国航空无线电电子研究所, 横向课题, 面向通信的人工智能信号处理技术研究, 2021年12月 至 2022年12月, 结项, 主持
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
Published:
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
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