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Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 411-430
Authors:  Qiyue Yin;  Tongtong Yu;  Shengqi Shen;  Jun Yang;  Meijing Zhao;  Wancheng Ni;  Kaiqi Huang;  Bin Liang;  Liang Wang
Adobe PDF(2923Kb)  |  Favorite  |  View/Download:19/8  |  Submit date:2024/05/23
Deep reinforcement learning, distributed machine learning, self-play, population-play, toolbox  
Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment 期刊论文
ADVANCED SCIENCE, 2022, 页码: 13
Authors:  Zhao, Kun;  Zheng, Qiang;  Dyrba, Martin;  Rittman, Timothy;  Li, Ang;  Che, Tongtong;  Chen, Pindong;  Sun, Yuqing;  Kang, Xiaopeng;  Li, Qiongling;  Liu, Bing;  Liu, Yong;  Li, Shuyu
Favorite  |  View/Download:260/0  |  Submit date:2022/03/17
mild cognitive impairment  progression  regional radiomics similarity network  subtypes  
Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography 期刊论文
IEEE Transactions on Biomedical Engineering, 2021, 卷号: 68, 期号: 99, 页码: 1
Authors:  Yin, Lin;  Wang, Kun;  Tong, Tong;  Wang, Qian;  An, Yu;  Yang, Xin;  Tian, Jie
Adobe PDF(11700Kb)  |  Favorite  |  View/Download:271/50  |  Submit date:2021/05/31
adaptive grouping  bioluminescence tomography  block sparse Bayesian learning  
Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032
Authors:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
View  |  Adobe PDF(646Kb)  |  Favorite  |  View/Download:340/60  |  Submit date:2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
Application of machine learning method in optical molecular imaging: a review 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 1, 页码: 16
Authors:  An, Yu;  Meng, Hui;  Gao, Yuan;  Tong, Tong;  Zhang, Chong;  Wang, Kun;  Tian, Jie
Adobe PDF(5942Kb)  |  Favorite  |  View/Download:362/59  |  Submit date:2020/03/30
optical molecular imaging  machine learning  artificial intelligence  
Improved generative adversarial networks using the total gradient loss for the resolution enhancement of fluorescence images 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2019, 卷号: 10, 期号: 9, 页码: 4742-4756
Authors:  Zhang, Chong;  Wang, Kun;  An, Yu;  He, Kunshan;  Tong, Tong;  Tian, Jie
Adobe PDF(4570Kb)  |  Favorite  |  View/Download:280/80  |  Submit date:2019/09/26