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Moxian Song
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2020 – today
- 2024
- [j14]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong:
Time pattern reconstruction for classification of irregularly sampled time series. Pattern Recognit. 147: 110075 (2024) - [j13]Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
A Systematic Review of Echo State Networks From Design to Application. IEEE Trans. Artif. Intell. 5(1): 23-37 (2024) - [j12]Chenxi Sun, Hongyan Li, Moxian Song, Shenda Hong:
A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11194-11203 (2024) - [i8]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong:
Curriculum Design Helps Spiking Neural Networks to Classify Time Series. CoRR abs/2401.10257 (2024) - 2023
- [j11]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong:
Adaptive model training strategy for continuous classification of time series. Appl. Intell. 53(15): 18821-18839 (2023) - [j10]Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li:
SPL-LDP: a label distribution propagation method for semi-supervised partial label learning. Appl. Intell. 53(18): 20785-20796 (2023) - [j9]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong:
Continuous diagnosis and prognosis by controlling the update process of deep neural networks. Patterns 4(2): 100687 (2023) - [i7]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong:
Curricular and Cyclical Loss for Time Series Learning Strategy. CoRR abs/2312.15853 (2023) - 2022
- [j8]Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li:
Classifying vaguely labeled data based on evidential fusion. Inf. Sci. 583: 159-173 (2022) - [j7]Moxian Song, Hongyan Li, Chenxi Sun, Derun Cai, Shenda Hong:
Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment. Inf. Sci. 609: 1169-1180 (2022) - [c6]Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li:
Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. CIKM 2022: 3843-3847 - [c5]Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
Confidence-Guided Learning Process for Continuous Classification of Time Series. CIKM 2022: 4525-4529 - [c4]Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li:
Hypergraph Structure Learning for Hypergraph Neural Networks. IJCAI 2022: 1923-1929 - [c3]Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li:
Hypergraph Contrastive Learning for Electronic Health Records. SDM 2022: 127-135 - [c2]Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li:
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. SDM 2022: 451-458 - [i6]Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
Confidence-Guided Learning Process for Continuous Classification of Time Series. CoRR abs/2208.06883 (2022) - [i5]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong:
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks. CoRR abs/2210.02719 (2022) - 2021
- [j6]Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li:
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience. Biomed. Signal Process. Control. 69: 102847 (2021) - [j5]Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li, Zhenjie Wang:
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. BMC Medical Informatics Decis. Mak. 21(1): 45 (2021) - [c1]Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li:
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. IJCAI 2021: 3010-3016 - [i4]Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li:
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. CoRR abs/2105.00412 (2021) - [i3]Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li:
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. CoRR abs/2108.13858 (2021) - 2020
- [j4]Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li:
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data. Neurocomputing 417: 64-73 (2020) - [j3]Xueqian Shang, Moxian Song, Kai Huang, Wen Jiang:
An improved evidential DEMATEL identify critical success factors under uncertain environment. J. Ambient Intell. Humaniz. Comput. 11(9): 3659-3669 (2020) - [i2]Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li:
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. CoRR abs/2010.12493 (2020) - [i1]Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li:
A Review of Designs and Applications of Echo State Networks. CoRR abs/2012.02974 (2020)
2010 – 2019
- 2018
- [j2]Tao Wen, Moxian Song, Wen Jiang:
Evaluating Topological Vulnerability Based on Fuzzy Fractal Dimension. Int. J. Fuzzy Syst. 20(6): 1956-1967 (2018) - 2017
- [j1]Moxian Song, Wen Jiang, Chunhe Xie, Deyun Zhou:
A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making. Int. J. Intell. Syst. 32(6): 631-644 (2017)
Coauthor Index
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last updated on 2024-08-23 18:35 CEST by the dblp team
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