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A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options Journal article
Zhuang, Jirong, Ding, Deng, Lu, Weiguo, Wu, Xuan, Yuan, Gangnan. A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options[J]. Computational Economics, 2025.
Authors:  Zhuang, Jirong;  Ding, Deng;  Lu, Weiguo;  Wu, Xuan;  Yuan, Gangnan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.9/1.8 | Submit date：2025/01/22
Deep Kernel Learning  Gaussian Process  High-dimensional American Option  Machine Learning  Regression Based Monte Carlo Method  
DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy Journal article
Jia, Zhen, Liu, Zhenbao, Vong, Chi Man, Wang, Shengdong, Cai, Yongyi. DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy[J]. Expert Systems with Applications, 2023, 213, 118918.
Authors:  Jia, Zhen;  Liu, Zhenbao;  Vong, Chi Man;  Wang, Shengdong;  Cai, Yongyi
Favorite | TC[WOS]:11 TC[Scopus]:17  IF:7.5/7.6 | Submit date：2023/04/03
Dc-dc Buck Circuit  Fault Diagnosis  Deep Elm-ae Model  Kernel Method  Transfer Learning  
Local Orthogonal Moments for Local Features Journal article
Yang,Jianwei, Zeng,Zezhi, Kwong,Timothy, Tang,Yuan Yan, Wang,Yuepeng. Local Orthogonal Moments for Local Features[J]. IEEE Transactions on Image Processing, 2023.
Authors:  Yang,Jianwei;  Zeng,Zezhi;  Kwong,Timothy;  Tang,Yuan Yan;  Wang,Yuepeng
Favorite | TC[WOS]:3 TC[Scopus]:6  IF:10.8/12.1 | Submit date：2023/08/03
local Orthogonal Moment (Lom)  transformed Orthogonal Moment (Tom)  Deep Learning  Feature Extraction  Image Reconstruction  Kernel  Local Feature  Orthogonal Moment  Sensitivity  Task Analysis  Training  Zeros Distribution  
Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation Journal article
Huang, Jintao, Vong, Chi Man, Chen, C. L.P., Zhou, Yimin. Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 34(12), 10240-10253.
Authors:  Huang, Jintao;  Vong, Chi Man;  Chen, C. L.P.;  Zhou, Yimin
Favorite | TC[WOS]:19 TC[Scopus]:16  IF:10.2/10.4 | Submit date：2022/05/17
Broad Learning System (Bls)  Multi-label Classification  Large-scale Data  Feature Reduction  Support Vector Machines  Deep Learning  Kernel  Computational Modeling  Task Analysis  Learning Systems  Training  
Information Fusion: Machine Learning Methods Book
Li, Jinxing, Zhang, Bob, Zhang, David. Information Fusion: Machine Learning Methods[M]. Singapore:Springer Nature, 2022, 1-260.
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite | TC[Scopus]:4 | Submit date：2023/08/25
Classifier Fusion  Collaborative Representation  Data Fusion  Deep Learning  Information Fusion  Kernel  Metric Learning  Multi-feature Data  Multi-modal Data  Multi-view Data  Multi-view Learning  Sparse Representation  Weight Fusion  
Electrical load forecasting: A deep learning approach based on K-nearest neighbors Journal article
Dong, Yunxuan, Ma, Xuejiao, Fu, Tonglin. Electrical load forecasting: A deep learning approach based on K-nearest neighbors[J]. Applied Soft Computing, 2021, 99, 106900.
Authors:  Dong, Yunxuan;  Ma, Xuejiao;  Fu, Tonglin
Favorite | TC[WOS]:79 TC[Scopus]:97  IF:7.2/7.0 | Submit date：2021/12/07
Deep Learning Approach  Electrical Load Interval Forecasting  K-nearest Neighbors  Kernel Density Estimation