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Constrained Fractional-Order Model Predictive Control for Robust Path Following of FWID-AGVs with Asymptotic Prescribed Performance Journal article
Zhao, Jing, Li, Renbin, Zheng, Xinyang, Li, Wenfeng, Hu, Chuan, Liang, Zhongchao, Wong, Pak Kin. Constrained Fractional-Order Model Predictive Control for Robust Path Following of FWID-AGVs with Asymptotic Prescribed Performance[J]. IEEE Transactions on Vehicular Technology, 2024.
Authors:  Zhao, Jing;  Li, Renbin;  Zheng, Xinyang;  Li, Wenfeng;  Hu, Chuan; et al.
Favorite | TC[Scopus]:4  IF:6.1/6.5 | Submit date：2024/12/05
Vehicle Dynamics  Predictive Models  Computational Modeling  Predictive Control  Land Vehicles  
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]:32  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  
Boosting Image Restoration via Priors from Pre-Trained Models Conference paper
Xu, Xiaogang, Kong, Shu, Hu, Tao, Liu, Zhe, Bao, Hujun. Boosting Image Restoration via Priors from Pre-Trained Models[C]:IEEE Computer Society, 2024, 2900-2909.
Authors:  Xu, Xiaogang;  Kong, Shu;  Hu, Tao;  Liu, Zhe;  Bao, Hujun
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2024/11/05
Computer Vision  Shape  Computational Modeling  Noise Reduction  Training Data  Boosting  Data Models  Pre-trained Models  Image Restoration  Spatial-varying Enhancement  Channel-spatial Attention  
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  
Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing] Journal article
Yu, Zhaoyuan, Li, Dongshuang, Du, Pei, Luo, Wen, Kou, Kit Ian, Bhatti, Uzair Aslam, Benger, Werner, Lv, Guonian, Yuan, Linwang. Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing][J]. IEEE Signal Processing Magazine, 2024, 41(3), 33-48.
Authors:  Yu, Zhaoyuan;  Li, Dongshuang;  Du, Pei;  Luo, Wen;  Kou, Kit Ian; et al.
Favorite | TC[WOS]:2 TC[Scopus]:11  IF:9.4/18.0 | Submit date：2024/09/03
Analytical Models  Computational Modeling  Data Visualization  Geoscience  Signal Processing  Predictive Models  Hypercomplex  Digital Twins  Oceanography  Artificial Intelligence  High Performance Computing  
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  
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  
DEFORMMLP: DYNAMIC LARGE-SCALE RECEPTIVE FIELD MLP NETWORKS FOR HUMAN MOTION PREDICTION Conference paper
Huang, Haitao, Pun, Chi Man, Li, Haolun, Liu, Mengqi, Xiong, Jian, Gao, Hao. DEFORMMLP: DYNAMIC LARGE-SCALE RECEPTIVE FIELD MLP NETWORKS FOR HUMAN MOTION PREDICTION[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 5200-5204.
Authors:  Huang, Haitao;  Pun, Chi Man;  Li, Haolun;  Liu, Mengqi;  Xiong, Jian; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/07/04
Three-dimensional Displays  Computational Modeling  Semantics  Benchmark Testing  Signal Processing  Predictive Models  Transformers  Human Motion Prediction  Mlp  Spatiotemporal Modeling  
UAV Swarm-Assisted Two-Tier Hierarchical Federated Learning Journal article
Wang Tianshun, Huang Xumin, Wu Yuan, Qian Liping, Lin Bin, Su Zhou. UAV Swarm-Assisted Two-Tier Hierarchical Federated Learning[J]. IEEE Transactions on Network Science and Engineering, 2024, 11(1), 943-956.
Authors:  Wang Tianshun;  Huang Xumin;  Wu Yuan;  Qian Liping;  Lin Bin; et al.
Favorite | TC[WOS]:8 TC[Scopus]:10  IF:6.7/6.0 | Submit date：2023/12/13
Autonomous Aerial Vehicles  Computational Modeling  Data Models  Hierarchical Federated Learning  Optimization  Relays  Servers  Training  Uav Swarm  Wireless Federated Learning  
Assessing the algal population dynamics using multiple machine learning approaches: Application to Macao reservoirs Journal article
Li, Zhejun, Chio, Sin Neng, Gao, Liang, Zhang, Ping. Assessing the algal population dynamics using multiple machine learning approaches: Application to Macao reservoirs[J]. Journal of Environmental Management, 2023, 334, 117505.
Authors:  Li, Zhejun;  Chio, Sin Neng;  Gao, Liang;  Zhang, Ping
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:8.0/7.9 | Submit date：2023/02/28
Algae  Computational Models  Macao  Machine Learning  Population Dynamics  Reservoir