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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  
Federated Learning-Empowered AI-Generated Content in Wireless Networks Journal article
Huang Xumin, Li Peichun, Du Hongyang, Kang Jiawen, Niyato Dusit, Kim Dong In, Wu Yuan. Federated Learning-Empowered AI-Generated Content in Wireless Networks[J]. IEEE Network, 2024, 38(5), 304-313.
Authors:  Huang Xumin;  Li Peichun;  Du Hongyang;  Kang Jiawen;  Niyato Dusit; et al.
Favorite | TC[WOS]:16 TC[Scopus]:30  IF:6.8/8.5 | Submit date：2024/05/16
Adaptation Models  Aigc  Computational Modeling  Data Models  Deep Learning  Federated Learning  Generative Adversarial Networks  Stable Diffusion  Task Analysis  Training  Transformers  Wireless Networks  
Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory Conference paper
Zhao, Chuanbing, Feng, Yuan, Gao, Feifei, Zhang, Yong, Ma, Shaodan, Poor, H. Vincent. Environment Sensing-aided Beam Prediction with Transfer Learning for Smart Factory[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 2077-2082.
Authors:  Zhao, Chuanbing;  Feng, Yuan;  Gao, Feifei;  Zhang, Yong;  Ma, Shaodan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/11/05
Beam Prediction  Environment Sensing  Mmwave  Transfer Learning  Adaptation Models  Costs  Accuracy  Simulation  Training Data  Predictive Models  
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models Conference paper
Zhang, Yu, Wen, Long, Yao, Xiangtong, Bing, Zhenshan, Kong, Linghuan, He, Wei, Knoll, Alois. Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 14763-14769.
Authors:  Zhang, Yu;  Wen, Long;  Yao, Xiangtong;  Bing, Zhenshan;  Kong, Linghuan; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Adaptation Models  Adaptive Systems  Uncertainty  Computational Modeling  Gaussian Processes  Real-time Systems  Safety  
Cloud-Edge Collaborative Large Model Services: Challenges and Solutions Journal article
Pan Yanghe, Su Zhou, Wang Yuntao, Guo Shaolong, Liu Han, Li Ruidong, Wu Yuan. Cloud-Edge Collaborative Large Model Services: Challenges and Solutions[J]. IEEE Network, 2024.
Authors:  Pan Yanghe;  Su Zhou;  Wang Yuntao;  Guo Shaolong;  Liu Han; et al.
Favorite | TC[Scopus]:3  IF:6.8/8.5 | Submit date：2024/08/26
Large Model  Artificial Intelligence  Adaptation Models  Cloud-edge Computing  
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments Conference paper
Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Yunjian Li, Shengbo Eben Li, Chengzhong Xu. Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 14212-14219.
Authors:  Haicheng Liao;  Shangqian Liu;  Yongkang Li;  Zhenning Li;  Chengyue Wang; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/09/19
Adaptation Models  Visualization  Time Series Analysis  Predictive Models  Cognition  Trajectory  Convolutional Neural Networks  
Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory Journal article
Zhou, Jianhang, Li, Shuyi, Zeng, Shaoning, Zhang, Bob. Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Authors:  Zhou, Jianhang;  Li, Shuyi;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.3/5.7 | Submit date：2024/05/16
Adaptation Models  Bayes Methods  Computational Intelligence  Computational Intelligence  Graph Theory  Nuclear Magnetic Resonance  Nuclear-norm Matrix Regression  Probabilistic Logic  Probability Theory  Random Graph  Structural Information  Training  
Fuzzy Inference Attention Module for Unsupervised Domain Adaptation Journal article
Wang, Zhengshan, Chen, Long, Wang, Fei Yue. Fuzzy Inference Attention Module for Unsupervised Domain Adaptation[J]. IEEE Transactions on Fuzzy Systems, 2024, 32(4), 1706-1718.
Authors:  Wang, Zhengshan;  Chen, Long;  Wang, Fei Yue
Favorite | TC[WOS]:4 TC[Scopus]:2  IF:10.7/9.7 | Submit date：2024/02/22
Adaptation Models  Domain ADaptation (Da)  Fuzzy Inference System (Fis)  Negative Transfer (Nl)  
Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets Journal article
Liu, Liu, Ding, Zhijun, Cheng, Dazhao, Zhou, Xiaobo. Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets[J]. IEEE Transactions on Cloud Computing, 2024, 12(2), 370-387.
Authors:  Liu, Liu;  Ding, Zhijun;  Cheng, Dazhao;  Zhou, Xiaobo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.3/4.6 | Submit date：2024/05/16
Adaptation Models  Byzantine Gradient  Computational Modeling  Data Models  Distributed Databases  Distributed Dataset  Graphics Processing Units  Load Management  Machine Learning Training  Straggler  Training  
Quantum-Empowered Federated Learning in Space-Air-Ground Integrated Networks Journal article
Wang Tianshun, Li Peichun, Wu Yuan, Qian Liping, Su Zhou, Lu Rongxing. Quantum-Empowered Federated Learning in Space-Air-Ground Integrated Networks[J]. IEEE Network, 2023, 38(1), 96-103.
Authors:  Wang Tianshun;  Li Peichun;  Wu Yuan;  Qian Liping;  Su Zhou; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:6.8/8.5 | Submit date：2024/02/22
Adaptation Models  Data Models  Quantum Communication  Relays  Space-air-ground Integrated Networks  Teleportation  Training