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A parallel multilevel domain decomposition method for source identification problems governed by elliptic equations Journal article
Journal of Computational and Applied Mathematics, 2021,Volume: 392
Authors:  Deng,Xiaomao;  Liao,Zi Ju;  Cai,Xiao Chuan
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Domain decomposition  Inverse problems  Parallel computing  Source identification  
Optimal ADMM-Based Spectrum and Power Allocation for Heterogeneous Small-Cell Networks with Hybrid Energy Supplies Journal article
IEEE Transactions on Mobile Computing, 2021,Volume: 20,Issue: 2,Page: 662-677
Authors:  Qian,Li Ping;  Wu,Yuan;  Ji,Bo;  Shen,Xuemin Sherman
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energy cost minimization  heterogeneous small-cell networks  hybrid energy supplies  network utility maximization  Resource allocation  
Quaternion block sparse representation for signal recovery and classification Journal article
Signal Processing, 2021,Volume: 179
Authors:  Zou,Cuiming;  Kou,Kit Ian;  Wang,Yulong;  Tang,Yuan Yan
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Block sparse representation  Quaternion representation  Signal recovery  
An enhanced particle swarm optimization with distribution fields appearance model for object tracking Journal article
International Journal of Wavelets, Multiresolution and Information Processing, 2021,Volume: 19,Issue: 1
Authors:  Hu,Quanyi;  Qin,Peng;  Yang,Jie;  Fong,Simon
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distribution fields  Object tracking  particle swarm optimization  
Matrix-monotonic optimization - Part II: Multi-variable optimization Journal article
IEEE Transactions on Signal Processing, 2021,Volume: 69,Page: 179-194
Authors:  Xing,Chengwen;  Wang,Shuai;  Chen,Sheng;  Ma,Shaodan;  Poor,H. Vincent;  Hanzo,Lajos
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matrix-monotonic optimization  MIMO  multiple matrix-variate optimizations  
Matrix-Monotonic Optimization-Part I: Single-Variable Optimization Journal article
IEEE Transactions on Signal Processing, 2021,Volume: 69,Page: 738-754
Authors:  Xing,Chengwen;  Wang,Shuai;  Chen,Sheng;  Ma,Shaodan;  Poor,H. Vincent;  Hanzo,Lajos
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majorization theory  Matrix-monotonic optimization  optimal structures  transceiver optimization  
Deep Learning Empowered Traffic Offloading in Intelligent Software Defined Cellular V2X Networks Journal article
IEEE Transactions on Vehicular Technology, 2020,Volume: 69,Issue: 11,Page: 13328-13340
Authors:  Fan,Bo;  He,Zhengbing;  Wu,Yuan;  He,Jia;  Chen,Yanyan;  Jiang,Li
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C-V2X networks  deep learning  software-defined-networking  traffic offloading  
The Power of Triply Complementary Priors for Image Compressive Sensing Conference paper
Proceedings - International Conference on Image Processing, ICIP
Authors:  Zha,Zhiyuan;  Yuan,Xin;  Zhou,Joey Tianyi;  Zhou,Jiantao;  Wen,Bihan;  Zhu,Ce
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deep prior  hybrid plug-and-play  Image CS  non-local self-similarity  triply complementary priors  
Chance Constrained Extreme Learning Machine for Nonparametric Prediction Intervals of Wind Power Generation Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2020,Volume: 35,Issue: 5,Page: 3869-3884
Authors:  Can Wan;  Changfei Zhao;  Yonghua Song
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Prediction Interval  Forecasting  Wind Power  Chance Constraint  Extreme Learning Machine  Dc Optimization  
Emerging polyanionic and organic compounds for high energy density, non-aqueous potassium-ion batteries Journal article
Journal of Materials Chemistry A, 2020,Volume: 8,Issue: 32,Page: 16061-16080
Authors:  Chen,Mingzhe;  Liu,Qiannan;  Zhang,Yanyan;  Xing,Guichuan;  Chou,Shu Lei;  Tang,Yuxin
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