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DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training Journal article
Zhou, Haoran, Rang, Wei, Chen, Hongyang, Zhou, Xiaobo, Cheng, Dazhao. DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training[J]. IEEE Transactions on Parallel and Distributed Systems, 2024, 35(11), 1920-1935.
Authors:  Zhou, Haoran;  Rang, Wei;  Chen, Hongyang;  Zhou, Xiaobo;  Cheng, Dazhao
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.6/4.5 | Submit date：2024/08/05
Deep Neural Network Training  Heterogeneous Memory  Memory Management  Performance Optimization  
Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNet Journal article
Feng, Guangxu, Lao, Keng Weng, Chen, Ge. Out-of-Distribution Detection of Unknown False Data Injection Attack With Logit-Normalized Bayesian ResNet[J]. IEEE Transactions on Smart Grid, 2024, 15(6), 6005-6017.
Authors:  Feng, Guangxu;  Lao, Keng Weng;  Chen, Ge
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.6/9.6 | Submit date：2024/07/04
Bayes Methods  Bayesian Neural Network  Current Measurement  Deep Learning  Epistemic Uncertainty  False Data Injection Attack  Neural Networks  Out-of-distribution Detection  Training  Uncertainty  Uncertainty Calibration  Vectors  
Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression Journal article
Duan, Junwei, Yao, Shiyi, Tan, Jiantao, Liu, Yang, Chen, Long, Zhang, Zhen, Chen, C. L.P.. Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Duan, Junwei;  Yao, Shiyi;  Tan, Jiantao;  Liu, Yang;  Chen, Long; et al.
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2024/05/16
Broad Learning System (Bls)  Classification  Deep Neural Network  Feature Extraction  Frequency Principle  Fuzzy Extreme Learning Machine (Elm)  Learning Systems  Mathematical Models  Neural Networks  Regression  Stacking  Task Analysis  Training  
How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics Conference paper
Simon Fong, Suash Deb, Xin-she Yang. How meta-heuristic algorithms contribute to deep learning in the hype of big data analytics[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2017, 3-25.
Authors:  Simon Fong;  Suash Deb;  Xin-she Yang
Favorite | TC[WOS]:39 TC[Scopus]:50 | Submit date：2019/02/13
Deep Learning  Meta-heuristic Algorithm  Neural Network Training  Nature-inspired Computing Algorithms  Algorithm Design