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)

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)

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)