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Refinements of Approximation Results of Conditional Restricted Boltzmann Machines JOURNAL ARTICLE published March 2023 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (11901113) | Guangzhou Science and Technology Plan Project (201904010225) | Guangdong Natural Science Foundation (2020A1515110951) |
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Covering numbers for support vector machines JOURNAL ARTICLE published 2002 in IEEE Transactions on Information Theory |
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On the Representational Power of Restricted Boltzmann Machines for Symmetric Functions and Boolean Functions JOURNAL ARTICLE published May 2019 in IEEE Transactions on Neural Networks and Learning Systems Research funded by National Natural Science Foundation of China (11771458,11431015,11601532) | Guangdong Province Key (2016B030307003) |
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Learning a better representation of speech soundwaves using restricted boltzmann machines PROCEEDINGS ARTICLE published May 2011 in 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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Learning invariant color features with sparse topographic restricted Boltzmann machines PROCEEDINGS ARTICLE published September 2011 in 2011 18th IEEE International Conference on Image Processing |
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Information and Regularization in Restricted Boltzmann Machines PROCEEDINGS ARTICLE published 6 June 2021 in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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LIP movement generation using restricted Boltzmann machines for visual speech synthesis PROCEEDINGS ARTICLE published July 2015 in 2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP) |
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Sequence Classification Restricted Boltzmann Machines With Gated Units JOURNAL ARTICLE published November 2020 in IEEE Transactions on Neural Networks and Learning Systems |
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A Deep Learning Scheme for Motor Imagery Classification based on Restricted Boltzmann Machines JOURNAL ARTICLE published June 2017 in IEEE Transactions on Neural Systems and Rehabilitation Engineering Research funded by Fundamental Research Funds for the Central Universities, National Natural Science Foundation of China (61105034,61673312) | Research Fund for the Doctoral Program of Higher Education of China (20100201120040) | China Postdoctoral Science Foundation (20110491662,2012T50805) |
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An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines JOURNAL ARTICLE published October 2020 in IEEE Transactions on Neural Networks and Learning Systems Research funded by Key Project of National Natural Science Foundation of China (61533002) | National Natural Science Foundation of China (61703011,61673229) | Major Project for New Generation Artificial Intelligence (2018AAA0101600) | National Science and Technology Major Project (2018ZX07111005) |
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Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes JOURNAL ARTICLE published October 2017 in IEEE Transactions on Neural Networks and Learning Systems Research funded by NWPU Basic Research Fund (310201401,JCQ01009,JCQ01012) | Science and Technology Development Fund of Macau (050/2015/A) | Open Fund of State Key Laboratory of CAD & CG, Zhejiang University (A1509) | Universidade de Macau (MYRG2014-00083) | Open Research Foundation of State Key Laboratory of Digital Manufacturing Equipment & Technology in Huazhong University of Science & Technology (DMETKF2015009) | Fund of National Engineering and Research Center for Commercial Aircraft Manufacturing (SAMC14-JS-15-045) | Shaanxi Natural Science Fund (2015JM6344) | National Natural Science Foundation of China (61003137,61573284,61522207,61473231) |
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Function approximation with neural networks for obtaining an operating point sufficiently small signal stable in power systems including wind parks PROCEEDINGS ARTICLE published May 2009 in 2009 IEEE International Electric Machines and Drives Conference |
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A Confident Information First Principle for Parameter Reduction and Model Selection of Boltzmann Machines JOURNAL ARTICLE published May 2018 in IEEE Transactions on Neural Networks and Learning Systems Research funded by Chinese 863 Program (2015AA015403) | Key Project of Tianjin Natural Science Foundation (15JCZDJC31100) | Tianjin Younger Natural Science Foundation (14JCQNJC00400) | Major Project of Chinese National Social Science Fund (14ZDB153) |
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The effect of timing errors on frequency offset estimation in OFDM systems PROCEEDINGS ARTICLE published December 2011 in 2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) |
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Abnormal Neural Oscillations in Schizophrenia Assessed by Spectral Power Ratio of MEG During Word Processing JOURNAL ARTICLE published November 2016 in IEEE Transactions on Neural Systems and Rehabilitation Engineering |
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Very-short term forecasting of electricity price signals using a Pareto composition of kernel machines in smart power systems PROCEEDINGS ARTICLE published December 2015 in 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) |
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The use of second-order information in the approximation of discreate-time linear systems JOURNAL ARTICLE published June 1976 in IEEE Transactions on Acoustics, Speech, and Signal Processing |
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Event-triggered multi-area state estimation in power systems PROCEEDINGS ARTICLE published December 2011 in 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) |
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Power allocation in two-hop amplify-and-forward MIMO relay systems with QoS requirements PROCEEDINGS ARTICLE published December 2011 in 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) |
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Power Quality Event Classification Using Convolutional Neural Networks on Images PROCEEDINGS ARTICLE published July 2019 in 2019 IEEE 1st International Conference on Energy, Systems and Information Processing (ICESIP) |