Moxian Song

According to our database, Moxian Song authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Time pattern reconstruction for classification of irregularly sampled time series.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong

Pattern Recognit., March, 2024

A Systematic Review of Echo State Networks From Design to Application.

Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li

IEEE Trans. Artif. Intell., January, 2024

Curriculum Design Helps Spiking Neural Networks to Classify Time Series.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong

CoRR, 2024

2023

SPL-LDP: a label distribution propagation method for semi-supervised partial label learning.

Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li

Appl. Intell., September, 2023

Adaptive model training strategy for continuous classification of time series.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong

Appl. Intell., August, 2023

Continuous diagnosis and prognosis by controlling the update process of deep neural networks.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong

Patterns, February, 2023

Curricular and Cyclical Loss for Time Series Learning Strategy.

Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong

CoRR, 2023

2022

Classifying vaguely labeled data based on evidential fusion.

Moxian Song, Chenxi Sun, Derun Cai, Shenda Hong, Hongyan Li

Inf. Sci., 2022

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment.

Moxian Song, Hongyan Li, Chenxi Sun, Derun Cai, Shenda Hong

Inf. Sci., 2022

GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization.

Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Hypergraph Contrastive Learning for Electronic Health Records.

Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Hypergraph Structure Learning for Hypergraph Neural Networks.

Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Confidence-Guided Learning Process for Continuous Classification of Time Series.

Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units.

Derun Cai, Moxian Song, Chenxi Sun, Baofeng Zhang, Shenda Hong, Hongyan Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning.

Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li, Zhenjie Wang

BMC Medical Informatics Decis. Mak., December, 2021

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data.

Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li

CoRR, 2021

Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience.

Chenxi Sun, Shenda Hong, Moxian Song, Junyuan Shang, Hongyan Li

Biomed. Signal Process. Control., 2021

TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data.

Chenxi Sun, Shenda Hong, Moxian Song, Yen-hsiu Chou, Yongyue Sun, Derun Cai, Hongyan Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

An improved evidential DEMATEL identify critical success factors under uncertain environment.

Xueqian Shang, Moxian Song, Kai Huang, Wen Jiang

J. Ambient Intell. Humaniz. Comput., 2020

Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.

Yen-hsiu Chou, Shenda Hong, Yuxi Zhou, Junyuan Shang, Moxian Song, Hongyan Li

Neurocomputing, 2020

A Review of Designs and Applications of Echo State Networks.

Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li

CoRR, 2020

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data.

Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li

CoRR, 2020

2018

Evaluating Topological Vulnerability Based on Fuzzy Fractal Dimension.

Tao Wen, Moxian Song, Wen Jiang

Int. J. Fuzzy Syst., 2018

2017

A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making.

Moxian Song, Wen Jiang, Chunhe Xie, Deyun Zhou

Int. J. Intell. Syst., 2017