English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 711 Help

Selected(0)Clear Items/Page:    Sort:
A fully value distributional deep reinforcement learning framework for multi-agent cooperation Journal article
Fu, Mingsheng, Huang, Liwei, Li, Fan, Qu, Hong, Xu, Chengzhong. A fully value distributional deep reinforcement learning framework for multi-agent cooperation[J]. Neural Networks, 2025, 184.
Authors:  Fu, Mingsheng;  Huang, Liwei;  Li, Fan;  Qu, Hong;  Xu, Chengzhong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Deep Reinforcement Learning  Multi-agent Cooperation  Distributional Reinforcement Learning  Neural Networks  
An effective one-iteration learning algorithm based on Gaussian mixture expansion for densities Journal article
Lu, Weiguo, Wu, Xuan, Ding, Deng, Yuan, Gangnan, Zhuang, Jirong. An effective one-iteration learning algorithm based on Gaussian mixture expansion for densities[J]. Communications in Nonlinear Science and Numerical Simulation, 2025, 142, 108494.
Authors:  Lu, Weiguo;  Wu, Xuan;  Ding, Deng;  Yuan, Gangnan;  Zhuang, Jirong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.4/3.3 | Submit date：2025/01/22
Density Approximation  Embedding  Expectation Maximization  Gaussian Mixture Model  Inverse Problem  Neural Network  
An enhanced model for predicting load transfer efficiency in pile-supported embankments based on 3D finite element models and neural network Journal article
Zhao, Lin Shuang, Yuan, Wenhao, Hou, Huiming, Xu, Tao, Lao, Junyuan. An enhanced model for predicting load transfer efficiency in pile-supported embankments based on 3D finite element models and neural network[J]. Computers and Geotechnics, 2025, 179.
Authors:  Zhao, Lin Shuang;  Yuan, Wenhao;  Hou, Huiming;  Xu, Tao;  Lao, Junyuan
Favorite | TC[Scopus]:0  IF:5.3/5.7 | Submit date：2025/01/22
Pile-supported Embankment  Soil Arching  Finite Element  Neural Network  Model Factor  
A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks Journal article
Wu, Kunlun, E, Shunzhuo, Yang, Ning, Zhang, Anguo, Yan, Xiaorong, Mu, Chaoxu, Song, Yongduan. A novel approach to enhancing biomedical signal recognition via hybrid high-order information bottleneck driven spiking neural networks[J]. Neural Networks, 2025, 183, 106976.
Authors:  Wu, Kunlun;  E, Shunzhuo;  Yang, Ning;  Zhang, Anguo;  Yan, Xiaorong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Spiking Neural Networks (Snns)  Biomedical Signal Processing And Recognition  Hybrid High-order Information Bottleneck  
Advancements in exponential synchronization and encryption techniques: Quaternion-Valued Artificial Neural Networks with two-sided coefficients Journal article
Li, Chenyang, Kou, Kit Ian, Zhang, Yanlin, Liu, Yang. Advancements in exponential synchronization and encryption techniques: Quaternion-Valued Artificial Neural Networks with two-sided coefficients[J]. Neural Networks, 2025, 183, 106982.
Authors:  Li, Chenyang;  Kou, Kit Ian;  Zhang, Yanlin;  Liu, Yang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Quaternion-valued Artificial Neural Networks  Exponential Synchronization  Controllers  Encryption Of Image  Two-sided Coefficient  
Analytical selection of hidden parameters through expanded enhancement matrix stability for functional-link neural networks and broad learning systems Journal article
Li, Yuchen, Vong, Chi Man, Chen, C. L.Phillip, Wang, Shitong. Analytical selection of hidden parameters through expanded enhancement matrix stability for functional-link neural networks and broad learning systems[J]. Knowledge-Based Systems, 2025, 310, 112923.
Authors:  Li, Yuchen;  Vong, Chi Man;  Chen, C. L.Phillip;  Wang, Shitong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.2/7.4 | Submit date：2025/01/22
Broad Learning Systems  Expanded Enhancement Matrix Stability  Functional-link Neural Networks  Generalization  Hidden Parameter Selection  
Cycling topic graph learning for neural topic modeling Journal article
Liu, Yanyan, Gong, Zhiguo. Cycling topic graph learning for neural topic modeling[J]. Knowledge-Based Systems, 2025, 310.
Authors:  Liu, Yanyan;  Gong, Zhiguo
Favorite | TC[Scopus]:0  IF:7.2/7.4 | Submit date：2025/01/22
Neural Topic Model  Graph Neural Networks  Wasserstein Autoencoder  Graph Attention Networks  
Diffusion model conditioning on Gaussian mixture model and negative Gaussian mixture gradient Journal article
Lu, Weiguo, Wu, Xuan, Ding, Deng, Duan, Jinqiao, Zhuang, Jirong, Yuan, Gangnan. Diffusion model conditioning on Gaussian mixture model and negative Gaussian mixture gradient[J]. Neurocomputing, 2025, 614, 128764.
Authors:  Lu, Weiguo;  Wu, Xuan;  Ding, Deng;  Duan, Jinqiao;  Zhuang, Jirong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.5/5.5 | Submit date：2025/01/22
Diffusion Model  Gaussian Mixture Model  Latent Variable  Neural Network  Wasserstein Distance  
Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features Conference paper
Sun, Yanming, Liu, Xuebo, Wong, Derek F., Lin, Yuchu, Li, Bei, Zhan, Runzhe, Chao, Lidia S., Zhang, Min. Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features[C]:Springer Science and Business Media Deutschland GmbH, 2025, 227-239.
Authors:  Sun, Yanming;  Liu, Xuebo;  Wong, Derek F.;  Lin, Yuchu;  Li, Bei; et al.
Favorite | TC[Scopus]:0 | Submit date：2025/01/22
Encoder Depth  Low-resource Neural Machine Translation  Shallow Features  
A Novel NN-Based Fast-Convergence Background Calibration for Timing Mismatch in TI ADCs Journal article
Lu, Zhifei, Zhang, Boyuan, Peng, Yutao, Peng, Xizhu, Tang, He, Pu, Jie, Qin, Ling, Guo, Mingqiang. A Novel NN-Based Fast-Convergence Background Calibration for Timing Mismatch in TI ADCs[J]. IEEE Transactions on Circuits and Systems II: Express Briefs, 2025, 72(1), 48-52.
Authors:  Lu, Zhifei;  Zhang, Boyuan;  Peng, Yutao;  Peng, Xizhu;  Tang, He; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.0/3.7 | Submit date：2024/12/26
Background Calibration  Fast Convergence  Neural-network-based Extraction Module  Nn-based Calibration  Time-interleaved Adc (Ti Adc)  Timing Mismatch Calibration