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Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation Journal article
Li, Peiping, Wang, Yu, Guan, Zheng. Non-parametric generation of multivariate cross-correlated random fields directly from sparse measurements using Bayesian compressive sensing and Markov chain Monte Carlo simulation[J]. Stochastic Environmental Research and Risk Assessment, 2023, 37(12), 4607-4628.
Authors:  Li, Peiping;  Wang, Yu;  Guan, Zheng
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:3.9/3.6 | Submit date：2024/01/02
Bayesian Compressive Sensing  Cross-correlated Random Field Samples  Non-parametric Method  Reliability Analysis  Sparse Measurements  
A rigorous random field-based framework for 3D stratigraphic uncertainty modelling Journal article
Yan,Wei, Shen,Ping, Zhou,Wan Huan, Ma,Guowei. A rigorous random field-based framework for 3D stratigraphic uncertainty modelling[J]. Engineering Geology, 2023, 323, 107235.
Authors:  Yan,Wei;  Shen,Ping;  Zhou,Wan Huan;  Ma,Guowei
Favorite | TC[WOS]:7 TC[Scopus]:10  IF:6.9/7.6 | Submit date：2023/08/03
3d Geological Modelling  Physical Interpretation  Random Field  Scales Of Fluctuation  Stratigraphic Uncertainty  
An FPGA-Based Transformer Accelerator Using Output Block Stationary Dataflow for Object Recognition Applications Journal article
Zhao, Zhongyu, Cao, Rujian, Un, Ka Fai, Yu, Wei Han, Mak, Pui In, Martins, Rui P.. An FPGA-Based Transformer Accelerator Using Output Block Stationary Dataflow for Object Recognition Applications[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2023, 70(1), 281-285.
Authors:  Zhao, Zhongyu;  Cao, Rujian;  Un, Ka Fai;  Yu, Wei Han;  Mak, Pui In; et al.
Favorite | TC[WOS]:8 TC[Scopus]:12  IF:4.0/3.7 | Submit date：2022/08/08
Transformers  Energy Efficiency  Broadcasting  Convolutional Neural Networks  Integrated Circuit Modeling  Field Programmable Gate Arrays  Random Access Memory  Dataflow  Digital Accelerator  Energy-efficient  Field-programmable Gate Array (Fpga)  Energy Efficiency  Image Recognition  Transformer  
Editorial: Insights in protein biochemistry: protein biophysics 2022 Other
2023-01-01
Authors:  Nikolaos E. Labrou;  Hang Fai Kwok;  Qi Zhang
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2023/05/29
Atomic Force Microscopy  Biophysics  Cryo-electron Microscopy (Cryo- Em)  Molecular Dynamics  Markov Random Field (Mrf)  Protein Docking  Replisome  Single-molecule Fluorescence  
An FPGA-Based Energy-Efficient Reconfigurable Depthwise Separable Convolution Accelerator for Image Recognition Journal article
Lei Xuan, Ka-Fai Un, Chi-Seng Lam, Rui P. Martins. An FPGA-Based Energy-Efficient Reconfigurable Depthwise Separable Convolution Accelerator for Image Recognition[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(10), 4003-4007.
Authors:  Lei Xuan;  Ka-Fai Un;  Chi-Seng Lam;  Rui P. Martins
Favorite | TC[WOS]:26 TC[Scopus]:26  IF:4.0/3.7 | Submit date：2022/06/14
Frequency Modulation  Field Programmable Gate Arrays  Energy Efficiency  Memory Management  Random Access Memory  Arrays  Computational Cost  Convolutional Neural Network (Cnn)  Field-programmable Gate Array (Fpga)  Mobilenetv2  Neural Network  Quantization  
Higher-order conditional random field established with CNNs for video object segmentation Journal article
Hao, Chuanyan, Wang, Yuqi, Jiang, Bo, Liu, Sijiang, Yang, Zhi Xin. Higher-order conditional random field established with CNNs for video object segmentation[J]. KSII Transactions on Internet and Information Systems, 2021, 15(9), 3204-3220.
Authors:  Hao, Chuanyan;  Wang, Yuqi;  Jiang, Bo;  Liu, Sijiang;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.2/0.9 | Submit date：2021/12/08
Video Object Segmentation  Conditional Random Field  Convolution Neural Networks  Higher-order Potential  
Higher-order potentials for video object segmentation in bilateral space Journal article
Hao,Chuanyan, Chen,Yadang, Yang,Zhi Xin, Wu,Enhua. Higher-order potentials for video object segmentation in bilateral space[J]. Neurocomputing, 2020, 401, 28-35.
Authors:  Hao,Chuanyan;  Chen,Yadang;  Yang,Zhi Xin;  Wu,Enhua
Favorite | TC[WOS]:11 TC[Scopus]:13  IF:5.5/5.5 | Submit date：2021/03/11
Bilateral Space  Higher-order  Markov Random Field  Object Segmentation  Video  
Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS Journal article
Chen,Zhihua, Gao,Ting, Sheng,Bin, Li,Ping, Chen,C. L.Philip. Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS[J]. IEEE Transactions on Cybernetics, 2018, 50(5), 2152-2165.
Authors:  Chen,Zhihua;  Gao,Ting;  Sheng,Bin;  Li,Ping;  Chen,C. L.Philip
Favorite | TC[WOS]:30 TC[Scopus]:33  IF:9.4/10.3 | Submit date：2021/03/09
Broad Learning System (Bls)  Illumination Estimating  Markov Random Field (Mrf)  Multiclass Integrating  Shadow Synthesis  
Locating splicing forgery by fully convolutional networks and conditional random field Journal article
Liu, Bo, Pun, Chi-Man. Locating splicing forgery by fully convolutional networks and conditional random field[J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018, 66, 103-112.
Authors:  Liu, Bo;  Pun, Chi-Man
Favorite | TC[WOS]:31 TC[Scopus]:53  IF:3.4/3.3 | Submit date：2018/10/30
Splicing Forgery  Deep Neural Network  Fully Convolutional Network  Conditional Random Field  
Convergence analysis of distributed inference with vector-valued Gaussian belief propagation Journal article
Du,Jian, Ma,Shaodan, Wu,Yik Chung, Kar,Soummya, Moura,José M.F.. Convergence analysis of distributed inference with vector-valued Gaussian belief propagation[J]. Journal of Machine Learning Research, 2018, 18, 1-38.
Authors:  Du,Jian;  Ma,Shaodan;  Wu,Yik Chung;  Kar,Soummya;  Moura,José M.F.
Favorite | TC[WOS]:17 TC[Scopus]:22  IF:4.3/7.0 | Submit date：2021/03/11
Graphical Model  Large-scale Networks  Linear Gaussian Model  Markov Random Field  Walk-summability