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X2-Softmax: Margin adaptive loss function for face recognition Journal article
Xu, Jiamu, Liu, Xiaoxiang, Zhang, Xinyuan, Si, Yain Whar, Li, Xiaofan, Shi, Zheng, Wang, Ke, Gong, Xueyuan. X2-Softmax: Margin adaptive loss function for face recognition[J]. Expert Systems with Applications, 2024, 249, 123791.
Authors:  Xu, Jiamu;  Liu, Xiaoxiang;  Zhang, Xinyuan;  Si, Yain Whar;  Li, Xiaofan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/05/16
Adaptive Margins  Deep Neural Networks  Face Recognition  Loss Function  Machine Learning  
Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service Journal article
Zhang, Kuiyuan, Hua, Zhongyun, Li, Yuanman, Zhang, Yushu, Zhou, Yicong. Uformer-ICS: A U-Shaped Transformer for Image Compressive Sensing Service[J]. IEEE Transactions on Services Computing, 2024, 17(5), 2974-2988.
Authors:  Zhang, Kuiyuan;  Hua, Zhongyun;  Li, Yuanman;  Zhang, Yushu;  Zhou, Yicong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.5/5.9 | Submit date：2024/02/22
Compressive Sensing Service  Compressive Sampling  Image Reconstruction  Adaptive Sampling  Deep Learning  
A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming Journal article
Bi Suzhi, Chen Haoguo, Li Xian, Wang Shuoyao, Wu Yuan, Qian Liping. A Two-stage Deep Reinforcement Learning Framework for MEC-enabled Adaptive 360-Degree Video Streaming[J]. IEEE Transactions on Mobile Computing, 2024, 1-17.
Authors:  Bi Suzhi;  Chen Haoguo;  Li Xian;  Wang Shuoyao;  Wu Yuan; et al.
Favorite | TC[Scopus]:1  IF:7.7/6.5 | Submit date：2024/08/26
Accuracy  Adaptive Streaming  Bit Rate  Deep Reinforcement Learning  Multi-access Edge Computing  Quality Of Experience  Quality Of Experience  Real-time Systems  Resists  Streaming Media  Wireless Communication  
A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy Journal article
Wang, Maofa, Gong, Qizhou, Wan, Quan, Leng, Zhixiong, Xu, Yanlin, Yan, Bingchen, Zhang, He, Huang, Hongliang, Sun, Shaohua. A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy[J]. Expert Systems with Applications, 2024, 244, 123074.
Authors:  Wang, Maofa;  Gong, Qizhou;  Wan, Quan;  Leng, Zhixiong;  Xu, Yanlin; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/05/16
Adaptive Meta-learning  Deep Learning  Few-shot Classification  Interpretability  Logistic Regression  
Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems Journal article
Hu, Yunfeng, Zhang, Chong, Wang, Bo, Zhao, Jing, Gong, Xun, Gao, Jinwu, Chen, Hong. Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2024, 11(2), 344-361.
Authors:  Hu, Yunfeng;  Zhang, Chong;  Wang, Bo;  Zhao, Jing;  Gong, Xun; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:15.3/10.3 | Submit date：2024/02/22
Adaptive Control  Control System Synthesis  Data-driven Iterative Learning Control  Neurocontroller  Nonlinear Discrete Time Systems  
Adaptive Spatial-Temporal Graph-Mixer for Human Motion Prediction Journal article
Yang, Shubo, Li, Haolun, Pun, Chi Man, Du, Chun, Gao, Hao. Adaptive Spatial-Temporal Graph-Mixer for Human Motion Prediction[J]. IEEE Signal Processing Letters, 2024, 31, 1244-1248.
Authors:  Yang, Shubo;  Li, Haolun;  Pun, Chi Man;  Du, Chun;  Gao, Hao
Favorite | TC[WOS]:0 TC[Scopus]:2  IF:3.2/3.4 | Submit date：2024/06/05
Adaptive Learning  Graph Convolution  Human Motion Prediction  
Reinforcement Learning-Based Adaptive Control of a Piezo-Driven Nanopositioning System Journal article
Chen, Liheng, Xu, Qingsong. Reinforcement Learning-Based Adaptive Control of a Piezo-Driven Nanopositioning System[J]. IEEE Open Journal of the Industrial Electronics Society, 2024, 5, 28-40.
Authors:  Chen, Liheng;  Xu, Qingsong
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/05/16
Motion Control  Nanopositioning  Piezoelectric Actuator  Reinforcement Learning (Rl) Adaptive Control  
A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification Journal article
Cheng, Chunbo, Zhang, Liming, Li, Hong, Dai, Lei, Cui, Wenjing. A Deep Stochastic Adaptive Fourier Decomposition Network for Hyperspectral Image Classification[J]. IEEE Transactions on Image Processing, 2024, 33, 1080-1094.
Authors:  Cheng, Chunbo;  Zhang, Liming;  Li, Hong;  Dai, Lei;  Cui, Wenjing
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:10.8/12.1 | Submit date：2024/05/16
Cnn  Deep Learning  Hsis Classification  Stochastic Adaptive Fourier Decomposition  
Deep-learning-based object classification of tactile robot hand for smart factory Journal article
Wang,Dongkun, Teng,Yunfei, Peng,Jieyang, Zhao,Junkai, Wang,Pengyang. Deep-learning-based object classification of tactile robot hand for smart factory[J]. Applied Intelligence, 2023, 53(19), 22374–22390.
Authors:  Wang,Dongkun;  Teng,Yunfei;  Peng,Jieyang;  Zhao,Junkai;  Wang,Pengyang
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.4/3.9 | Submit date：2023/08/03
Adaptive Grasping  Deep Learning Model  Object Classification  Tactile Robot  
OFDM Receiver Design With Learning-Driven Automatic Modulation Recognition Journal article
Qian Liping, Wang Chenxi, Wang Qian, Wu Mengru, Wu Yuan, Yang Xiaoniu. OFDM Receiver Design With Learning-Driven Automatic Modulation Recognition[J]. IEEE Transactions on Cognitive Communications and Networking, 2023, 10(2), 429-441.
Authors:  Qian Liping;  Wang Chenxi;  Wang Qian;  Wu Mengru;  Wu Yuan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.4/6.9 | Submit date：2024/02/22
Ofdm  Deep Learning  Channel Estimation  Modulation Recognition  Adaptive Modulation  Wireless Communications