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BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications Journal article
He, Fuchao, Shi, Zheng, Zhou, Binggui, Yang, Guanghua, Li, Xiaofan, Ye, Xinrong, Ma, Shaodan. BLER Analysis and Optimal Power Allocation of HARQ-IR for Mission-Critical IoT Communications[J]. IEEE Internet of Things Journal, 2024, 11(21), 35536-35550.
Authors:  He, Fuchao;  Shi, Zheng;  Zhou, Binggui;  Yang, Guanghua;  Li, Xiaofan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:8.2/9.0 | Submit date：2024/09/03
Block Error Rate (Bler)  Deep Reinforcement Learning (Drl)  Hybrid Automatic Repeat Request With Incremental Redundancy (Harq-ir)  Markov Decision Process(Mdp)  Short Packet Communications  
An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models Journal article
Li, Jinbo, Liu, Peng, Chen, Long, Pedrycz, Witold, Ding, Weiping. An Integrated Fusion Framework for Ensemble Learning Leveraging Gradient Boosting and Fuzzy Rule-Based Models[J]. IEEE Transactions on Artificial Intelligence, 2024, 5(11), 5771-5785.
Authors:  Li, Jinbo;  Liu, Peng;  Chen, Long;  Pedrycz, Witold;  Ding, Weiping
Favorite | TC[Scopus]:3 | Submit date：2024/08/05
Adaptation Models  Data Models  Complexity Theory  Boosting  Analytical Models  Optimization  Heuristic Algorithms  Ensemble Learning  Fuzzy Rules-based Model  Incremental Models  Interpretability  
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System Journal article
Jie Du, Peng Liu, Chi Man Vong, Chuangquan Chen, Tianfu Wang, C. L.P. Chen. Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(8), 11332-11345.
Authors:  Jie Du;  Peng Liu;  Chi Man Vong;  Chuangquan Chen;  Tianfu Wang; et al.
Favorite | TC[WOS]:8 TC[Scopus]:7  IF:10.2/10.4 | Submit date：2023/08/03
Broad Learning System (Bls)  Catastrophic Forgetting  Class Correlations  Class-incremental Learning (Cil)  Recursive Update Rule  
Efficient Incremental Offline Reinforcement Learning with Sparse Broad Critic Approximation Journal article
Yao, Liang, Zhao, Baoliang, Xu, Xin, Wang, Ziwen, Wong, Pak Kin, Hu, Ying. Efficient Incremental Offline Reinforcement Learning with Sparse Broad Critic Approximation[J]. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2024, 54(1), 156-169.
Authors:  Yao, Liang;  Zhao, Baoliang;  Xu, Xin;  Wang, Ziwen;  Wong, Pak Kin; et al.
Favorite | TC[WOS]:6 TC[Scopus]:5  IF:8.6/8.7 | Submit date：2023/08/29
Broad Learning System (Bls)  Incremental Critic Design  Linear Critic Approximation (Lca)  Offline Reinforcement Learning (Orl)  Variable Force Tracking  
Reinforced Imitative Graph Learning for Mobile User Profiling Journal article
Dongjie Wang, Pengyang Wang, Kunpeng Liu, Xiong, Hui, Charles Hughes, Yanjie Fu. Reinforced Imitative Graph Learning for Mobile User Profiling[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(12), 12944-12957.
Authors:  Dongjie Wang;  Pengyang Wang;  Kunpeng Liu;  Xiong, Hui;  Charles Hughes; et al.
Favorite | TC[WOS]:10 TC[Scopus]:6  IF:8.9/8.8 | Submit date：2023/07/18
Behavioral Sciences  Education  Incremental Learning  Knowledge Graphs  Mobile User Profiling  Reinforcement Learning  Reinforcement Learning  Semantics  Spatial Knowledge Graph  Tail  Task Analysis  
Time-frequency fusion features-based incremental network for smartphone measured structural seismic response classification Journal article
Yang Zhang, Ka-Veng Yuen. Time-frequency fusion features-based incremental network for smartphone measured structural seismic response classification[J]. ENGINEERING STRUCTURES, 2023, 278, 115575.
Authors:  Yang Zhang;  Ka-Veng Yuen
Favorite | TC[WOS]:9 TC[Scopus]:11  IF:5.6/5.8 | Submit date：2023/04/03
Fusion Features  Incremental Learning  Seismic Response  Time-frequency  
An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning Journal article
Tie Qiu, Xize Liu, Xiaobo Zhou, Wenyu Qu, Zhaolong Ning, C. L. Philip Chen. An Adaptive Social Spammer Detection Model With Semi-Supervised Broad Learning[J]. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(10), 4622-4635.
Authors:  Tie Qiu;  Xize Liu;  Xiaobo Zhou;  Wenyu Qu;  Zhaolong Ning; et al.
Favorite | TC[WOS]:22 TC[Scopus]:24  IF:8.9/8.8 | Submit date：2022/11/07
Broad Learning  Incremental Learning  Mobile Social Network  Semi-supervised Learning  Spammer Detection  
Face Sketch Synthesis Using Regularized Broad Learning System Journal article
Ping Li, Bin Sheng, C. L. Philip Chen. Face Sketch Synthesis Using Regularized Broad Learning System[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(10), 5346-5360.
Authors:  Ping Li;  Bin Sheng;  C. L. Philip Chen
Favorite | TC[WOS]:38 TC[Scopus]:35  IF:10.2/10.4 | Submit date：2022/05/13
Bayesian Estimation  Computational Modeling  Face Recognition  Face Sketch Synthesis  Faces  Feature Extraction  Incremental Learning  Learning Systems  Regularized Broad Learning System (Rbls).  Robustness  Training  
Improving Video Temporal Consistency via Broad Learning System Journal article
Sheng, Bin, Li, Ping, Ali, Riaz, Chen, C. L.P.. Improving Video Temporal Consistency via Broad Learning System[J]. IEEE Transactions on Cybernetics, 2022, 52(7), 6662-6675.
Authors:  Sheng, Bin;  Li, Ping;  Ali, Riaz;  Chen, C. L.P.
Favorite | TC[WOS]:79 TC[Scopus]:79  IF:9.4/10.3 | Submit date：2022/05/13
Incremental Learning  Temporally Broad Learning System (Tbls)  Video Temporal Consistency.  
An Efficient Algorithm for the Incremental Broad Learning System by Inverse Cholesky Factorization of a Partitioned Matrix Journal article
Zhu, Hufei, Liu, Zhulin, Philip Chen, C. L., Liang, Yanyang. An Efficient Algorithm for the Incremental Broad Learning System by Inverse Cholesky Factorization of a Partitioned Matrix[J]. IEEE Access, 2021, 9, 19294-19303.
Authors:  Zhu, Hufei;  Liu, Zhulin;  Philip Chen, C. L.;  Liang, Yanyang
Favorite | TC[WOS]:5 TC[Scopus]:3  IF:3.4/3.7 | Submit date：2022/05/13
Added Nodes  Broad Learning System (Bls)  Efficient Algorithms  Incremental Learning  Inverse Cholesky Factorization  Partitioned Matrix  Pseudoinverse  Random Vector Functional-link Neural Networks (Rvflnn)  Single Layer Feedforward Neural Networks (Slfn)