A New Interval Numbers Power Average Operator in Multiple Attribute Decision Making. - Moxian Song; Wen Jiang 002; Chunhe Xie; Deyun Zhou (Int. J. Intell. Syst., 2017)

Evaluating Topological Vulnerability Based on Fuzzy Fractal Dimension. - Tao Wen 003; Moxian Song; Wen Jiang 002 (Int. J. Fuzzy Syst., 2018)

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. - Chenxi Sun; Shenda Hong; Moxian Song; Hongyan Li 002 (CoRR, 2020)

A Review of Designs and Applications of Echo State Networks. - Chenxi Sun; Moxian Song; Shenda Hong; Hongyan Li 002 (CoRR, 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 002 (Neurocomputing, 2020)

An improved evidential DEMATEL identify critical success factors under uncertain environment. - Xueqian Shang; Moxian Song; Kai Huang; Wen Jiang 002 (J. Ambient Intell. Humaniz. Comput., 2020)

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 002 (IJCAI, 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 002 (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; Yanxiu Zhou; Yongyue Sun; Derun Cai; Hongyan Li 002 (CoRR, 2021)

Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. - Chenxi Sun; Shenda Hong; Moxian Song; Hongyan Li 002; Zhenjie Wang (BMC Medical Informatics Decis. Mak., 2021)

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 002 (CIKM, 2022)

Confidence-Guided Learning Process for Continuous Classification of Time Series. - Chenxi Sun; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (CIKM, 2022)

Hypergraph Structure Learning for Hypergraph Neural Networks. - Derun Cai; Moxian Song; Chenxi Sun; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (IJCAI, 2022)

Hypergraph Contrastive Learning for Electronic Health Records. - Derun Cai; Chenxi Sun; Moxian Song; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (SDM, 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 002 (SDM, 2022)

Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment. - Moxian Song; Hongyan Li 002; Chenxi Sun; Derun Cai; Shenda Hong (Inf. Sci., 2022)

Classifying vaguely labeled data based on evidential fusion. - Moxian Song; Chenxi Sun; Derun Cai; Shenda Hong; Hongyan Li 002 (Inf. Sci., 2022)

Curricular and Cyclical Loss for Time Series Learning Strategy. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Shenda Hong (CoRR, 2023)

Continuous diagnosis and prognosis by controlling the update process of deep neural networks. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Patterns, 2023)

Adaptive model training strategy for continuous classification of time series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Appl. Intell., 2023)

SPL-LDP: a label distribution propagation method for semi-supervised partial label learning. - Moxian Song; Chenxi Sun; Derun Cai; Shenda Hong; Hongyan Li 002 (Appl. Intell., 2023)

Curriculum Design Helps Spiking Neural Networks to Classify Time Series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Shenda Hong (CoRR, 2024)

A Systematic Review of Echo State Networks From Design to Application. - Chenxi Sun; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong; Hongyan Li 002 (IEEE Trans. Artif. Intell., 2024)

Time pattern reconstruction for classification of irregularly sampled time series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Derun Cai; Baofeng Zhang; Shenda Hong (Pattern Recognit., 2024)

A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. - Chenxi Sun; Hongyan Li 002; Moxian Song; Shenda Hong (IEEE Trans. Neural Networks Learn. Syst., 2024)