Latent-to-data cascaded diffusion models for unconditional time series generation

Lifeng Shen, Kai Syun Hou, Weiyu Chen, James Kwok

TSGDiff: Rethinking synthetic time series generation from a pure graph perspective

Lifeng Shen, Xuyang Li, Lele Long

Multi-resolution diffusion models for time series forecasting

Lifeng Shen, Weiyu Chen, James Kwok

Non-autoregressive conditional diffusion models for time series prediction

Lifeng Shen, James Kwok

Finding time series anomalies using granular-ball vector data description

Lifeng Shen, Liang Peng, Ruiwen Liu, Yi Liu, Shuyin Xia

Efficient time series anomaly detection by multiresolution self-supervised discriminative network

Desen Huang, Lifeng Shen, Zhongzhong Yu, Zhenjing Zheng, Min Huang, Qianli Ma

Neurocomputing, 491: 261–272

Time series anomaly detection with multiresolution ensemble decoding

Lifeng Shen, Zhongzhong Yu, Qianli Ma, James Kwok

Timeseries anomaly detection using temporal hierarchical one-class network

Lifeng Shen, Zhuocong Li, James Kwok

DeePr-ESN: A deep projection-encoding echo-state network

Qianli Ma, Lifeng Shen, Garrison W. Cottrell

Time series classification with echo memory networks

Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell

End-to-end incomplete time-series modeling from linear memory of latent variables

Qianli Ma, Sen Li, Lifeng Shen, Jiabing Wang, Jia Wei, Zhiwen Yu, Garrison W. Cottrell

WALKING WALKing walking: Action recognition from action echoes

Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W Cottrell

Functional echo state network for time series classification

Qianli Ma, Lifeng Shen, Weibiao Chen, Jiabing Wang, Jia Wei, Zhiwen Yu