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StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems Journal article
Mo, Jiang, Yan, Wang Ji. StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems[J]. Mechanical Systems and Signal Processing, 2024, 220, 111623.
Authors:  Mo, Jiang;  Yan, Wang Ji
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.9/8.0 | Submit date：2024/08/05
Deep Learning  Model Updating  Reparameterization Trick  Stochastic Inverse Problems  Structural Health Monitoring  
A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Dai, Lei, Cui, Wenjing. A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification[J]. IEEE Transactions on Image Processing, 2024, 33, 1080-1094.
Authors:  Cheng, Chunbo;  Zhang, Liming;  Li, Hong;  Dai, Lei;  Cui, Wenjing
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:10.8/12.1 | Submit date：2024/05/16
Cnn  Deep Learning  Hsis Classification  Stochastic Adaptive Fourier Decomposition  
Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach Journal article
Li Yang, Wu Yuan, Song Yuxiao, Qian Liping, Jia Weijia. Dynamic User-Scheduling and Power Allocation for SWIPT Aided Federated Learning: A Deep Learning Approach[J]. IEEE Transactions on Mobile Computing, 2023, 22(12), 6956-6969.
Authors:  Li Yang;  Wu Yuan;  Song Yuxiao;  Qian Liping;  Jia Weijia
Favorite | TC[WOS]:12 TC[Scopus]:13  IF:7.7/6.5 | Submit date：2023/01/30
Federated Learning  Swipt  Dynamic User-scheduling  Stochastic Shortest Path  Deep Reinforcement Learning  Proximal Policy Optimization  
A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification Journal article
Chen Chunbo, ZHANG LIMING, Li Hong, Cui Wenjing. A Dual-Branch Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61.
Authors:  Chen Chunbo;  ZHANG LIMING;  Li Hong;  Cui Wenjing
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2023/12/11
Deep Learning (Dl)  Graph-based Learning (Gsl)  Hyperspectral Image (Hsi) Classification  Stochastic Adaptive Fourier Decomposition (Safd)  
A Joint Spatiotemporal Video Compression Based on Stochastic Adaptive Fourier Decomposition Journal article
Dai, Lei, Zhang, Liming. A Joint Spatiotemporal Video Compression Based on Stochastic Adaptive Fourier Decomposition[J]. IEEE Signal Processing Letters, 2022, 29, 1531 - 1535.
Authors:  Dai, Lei;  Zhang, Liming
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:3.2/3.4 | Submit date：2022/08/05
Stochastic Adaptive Fourier Decomposition  Video Compression  Sparse Representation  Machine Learning  
Asset Movement Forcasting with the Implied Volatility Surface Analysis Based on SABR Model Conference paper
Xu, Shaowei, Huan, Hongxin, Qi, Yuanyuan, Guo, Guoxiang, Yen, Jerome. Asset Movement Forcasting with the Implied Volatility Surface Analysis Based on SABR Model[C]. Institute of Electrical and Electronics Engineers Inc., USA:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2022, 662-667.
Authors:  Xu, Shaowei;  Huan, Hongxin;  Qi, Yuanyuan;  Guo, Guoxiang;  Yen, Jerome
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2023/03/06
Asset Movement Prediction  Stochastic Volatility Model  Sabr Volatility Model  Machine Learning  
Learning Driven NOMA Assisted Vehicular Edge Computing via Underlay Spectrum Sharing Journal article
Qian Liping, Wu Yuan, Yu Ningning, Jiang Fuli, Zhou Haibo, Quek Tony Q.S.. Learning Driven NOMA Assisted Vehicular Edge Computing via Underlay Spectrum Sharing[J]. IEEE Transactions on Vehicular Technology, 2021, 70(1), 977-992.
Authors:  Qian Liping;  Wu Yuan;  Yu Ningning;  Jiang Fuli;  Zhou Haibo; et al.
Favorite | TC[WOS]:33 TC[Scopus]:42  IF:6.1/6.5 | Submit date：2021/09/10
Non-orthogonal Multiple Access  Spectrum Sharing  Stochastic Learning  Vehicular Edge Computing  
Finite-time adaptive quantized control of stochastic nonlinear systems with input quantization: A broad learning system based identification method Journal article
Sui, Shuai, Chen, C. L.Philip, Tong, Shaocheng, Feng, Shuang. Finite-time adaptive quantized control of stochastic nonlinear systems with input quantization: A broad learning system based identification method[J]. IEEE Transactions on Industrial Electronics, 2019, 67(10), 8555-8565.
Authors:  Sui, Shuai;  Chen, C. L.Philip;  Tong, Shaocheng;  Feng, Shuang
Favorite | TC[WOS]:76 TC[Scopus]:86  IF:7.5/8.0 | Submit date：2021/12/06
Broad Learning System (Bls)  Quantized Input  Stochastic Nonlinear Systems  Stochastically Finite Time Control