A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems. - Lifan Long; Qian Liu; Hong Peng 001; Qian Yang 002; Xiaohui Luo; Jun Wang 013; Xiaoxiao Song (Int. J. Neural Syst., 2022)

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems. - Qian Liu; Lifan Long; Qian Yang 002; Hong Peng 001; Jun Wang 013; Xiaohui Luo (Knowl. Based Syst., 2022)

Echo spiking neural P systems. - Lifan Long; Rikong Lugu; Xin Xiong; Qian Liu; Hong Peng 001; Jun Wang 013; David Orellana-Martín; Mario J. Pérez-Jiménez (Knowl. Based Syst., 2022)

Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform. - Lifan Long; Qian Liu; Hong Peng 001; Jun Wang 013; Qian Yang 002 (Neural Networks, 2022)

Gated Spiking Neural P Systems for Time Series Forecasting. - Qian Liu; Lifan Long; Hong Peng 001; Jun Wang 013; Qian Yang 002; Xiaoxiao Song; Agustín Riscos-Núñez; Mario J. Pérez-Jiménez (IEEE Trans. Neural Networks Learn. Syst., 2023)

MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction. - Lifan Long; Jiaqi Cui; Pinxian Zeng; Yilun Li; Yuanjun Liu 002; Yan Wang 015 (MICCAI (5), 2024)

CMIB: A Cross Modal Interaction with Information Bottleneck Framework for Multimodal Survival Analysis. - Zhouyou Lai; Lifan Long; Jiaqi Cui; Deng Xiong; Yuanjun Liu 002; Hao Yin; Yan Wang 015 (CIS-RAM, 2024)

A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting. - Lifan Long; Chenggang Guo; Xin Xiong; Hong Peng 001; Jun Wang 013 (Appl. Soft Comput., 2024)

Nonlinear Spiking Neural Systems With Autapses for Predicting Chaotic Time Series. - Qian Liu; Hong Peng 001; Lifan Long; Jun Wang 013; Qian Yang 002; Mario J. Pérez-Jiménez; David Orellana-Martín (IEEE Trans. Cybern., 2024)