Feng Zhou

22 papers Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
IRCNN: A novel signal decomposition approach based on iterative residue convolutional neural network.
Pattern Recognit.
Feng Zhou, Antonio Cicone, Haomin Zhou
2023 J jnl
Automatic feature learning model combining functional connectivity network and graph regularization for depression detection.
Biomed. Signal Process. Control.
Lijun Yang, Xiaoge Wei, Fengrui Liu, Xiangru Zhu, Feng Zhou
2023 J jnl
RRCNN
CoRR
Feng Zhou, Antonio Cicone, Haomin Zhou
2023 J jnl
RRCNN: A novel signal decomposition approach based on recurrent residue convolutional neural network.
CoRR
Feng Zhou, Antonio Cicone, Haomin Zhou
2023 J jnl
Refinements of Approximation Results of Conditional Restricted Boltzmann Machines.
IEEE Trans. Neural Networks Learn. Syst.
Linyan Gu, Lihua Yang, Feng Zhou
2023 J jnl
T2V_TF: An adaptive timing encoding mechanism based Transformer with multi-source heterogeneous information fusion for portfolio management: A case of the Chinese A50 stocks.
Expert Syst. Appl.
Feng Zhou, Qun Zhang, Yuan Zhu, Tian Li
2022 J jnl
A novel image deblocking approach within a graph framework.
Digit. Signal Process.
Feng Zhou, Huafei Li, Lihua Yang, Zhihua Yang, Linyan Gu
2022 J jnl
Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks.
Neural Networks
Linyan Gu, Lihua Yang, Feng Zhou
2022 J jnl
Intraday and interday features in the high-frequency data: Pre- and post-Crisis evidence in China's stock market.
Expert Syst. Appl.
Qun Zhang, Peihui Zhang, Feng Zhou
2021 J jnl
Attention enhanced long short-term memory network with multi-source heterogeneous information fusion: An application to BGI Genomics.
Inf. Sci.
Qun Zhang, Lijun Yang, Feng Zhou
2021 J jnl
IF2CNN: Towards non-stationary time series feature extraction by integrating iterative filtering and convolutional neural networks.
Expert Syst. Appl.
Feng Zhou, Haomin Zhou, Zhihua Yang, Linyan Gu
2020 — conf
A New Credit Scoring Model Based on Prediction of Signal on Graph.
ICPRAI
Zhihua Yang, Qian Zhang, Feng Zhou, Lihua Yang
2020 J jnl
A New Illumination-Rotation-Invariance Texture Feature Based on Quasi-Periodic Signal Analysis.
IEEE Access
Zhihua Yang, Qian Zhang, Feng Zhou
2020 J jnl
A new prediction method for recommendation system based on sampling reconstruction of signal on graph.
Expert Syst. Appl.
Zhihua Yang, Feng Zhou, Lihua Yang, Qian Zhang
2020 J jnl
Segmentation of Pulmonary Nodules Using a GMM Fuzzy C-Means Algorithm.
IEEE Access
Xiangxia Li, Bin Li, Fang Liu, Hua Yin, Feng Zhou
2020 J jnl
Towards the representational power of restricted Boltzmann machines.
Neurocomputing
Linyan Gu, Feng Zhou, Lihua Yang
2019 J jnl
A 2-Stage Strategy for Non-Stationary Signal Prediction and Recovery Using Iterative Filtering and Neural Network.
J. Comput. Sci. Technol.
Feng Zhou, Haomin Zhou, Zhihua Yang, Lihua Yang
2019 J jnl
Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices.
Appl. Soft Comput.
Feng Zhou, Qun Zhang, Didier Sornette, Liu Jiang
2019 J jnl
EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction.
Expert Syst. Appl.
Feng Zhou, Haomin Zhou, Zhihua Yang, Lihua Yang
2018 J jnl
Hilbert spectrum analysis of piecewise stationary signals and its application to texture classification.
Digit. Signal Process.
Zhihua Yang, Qian Zhang, Feng Zhou, Lihua Yang
2016 J jnl
Optimal averages for nonlinear signal decompositions - Another alternative for empirical mode decomposition.
Signal Process.
Feng Zhou, Lijun Yang, Haomin Zhou, Lihua Yang
2014 J jnl
A novel envelope model based on convex constrained optimization.
Digit. Signal Process.
Lijun Yang, Zhihua Yang, Feng Zhou, Lihua Yang