Application of Grey Prediction Model in Rural Informatization Construction. - Du Jing; Daoliang Li; Hongwen Li; Lifeng Shen (CCTA (4), 2010)

A Research of Agricultural Informationalization Evaluation and Decision Support System. - Lifeng Shen; Xiaoqing Yuan; Daoliang Li (CCTA (1), 2011)

The Model for the Agricultural Informationalization Benefit Analysis. - Lifeng Shen; Xiaoqing Yuan; Daoliang Li (CCTA (2), 2013)

Functional echo state network for time series classification. - Qianli Ma 001; Lifeng Shen; Weibiao Chen; Jiabin Wang; Jia Wei; Zhiwen Yu 002 (Inf. Sci., 2016)

Two-Stage Temporal Multimodal Learning for Speaker and Speech Recognition. - Qianli Ma 001; Lifeng Shen; Ruishi Su; Jieyu Chen (ICONIP (2), 2017)

Decouple Adversarial Capacities with Dual-Reservoir Network. - Qianli Ma 001; Lifeng Shen; Wanqing Zhuang; Jieyu Chen (ICONIP (5), 2017)

WALKING WALKing walking: Action Recognition from Action Echoes. - Qianli Ma 001; Lifeng Shen; Enhuan Chen; Shuai Tian; Jiabing Wang; Garrison W. Cottrell (IJCAI, 2017)

Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework. - Qianli Ma 001; Lifeng Shen; Garrison W. Cottrell (CoRR, 2017)

End-to-End Time Series Imputation via Residual Short Paths. - Lifeng Shen; Qianli Ma 001; Sen Li 001 (ACML, 2018)

Dynamic Barycenter Averaging Kernel in RBF Networks for Time Series Classification. - Kejian Shi; Hongyang Qin; Chijun Sima; Sen Li 001; Lifeng Shen; Qianli Ma 001 (IEEE Access, 2019)

Time series classification with Echo Memory Networks. - Qianli Ma 001; Wanqing Zhuang; Lifeng Shen; Garrison W. Cottrell (Neural Networks, 2019)

Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network. - Lifeng Shen; Zhuocong Li; James T. Kwok (NeurIPS, 2020)

DeePr-ESN: A deep projection-encoding echo-state network. - Qianli Ma 001; Lifeng Shen; Garrison W. Cottrell (Inf. Sci., 2020)

End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables. - Qianli Ma 001; Sen Li 001; Lifeng Shen; Jiabing Wang; Jia Wei; Zhiwen Yu 002; Garrison W. Cottrell (IEEE Trans. Cybern., 2020)

Time Series Anomaly Detection with Multiresolution Ensemble Decoding. - Lifeng Shen; Zhongzhong Yu; Qianli Ma 001; James T. Kwok (AAAI, 2021)

Efficient time series anomaly detection by multiresolution self-supervised discriminative network. - Desen Huang; Lifeng Shen; Zhongzhong Yu; Zhenjing Zheng; Min Huang; Qianli Ma 001 (Neurocomputing, 2022)

Non-autoregressive Conditional Diffusion Models for Time Series Prediction. - Lifeng Shen; James T. Kwok (ICML, 2023)

Multi-Resolution Diffusion Models for Time Series Forecasting. - Lifeng Shen; Weiyu Chen; James T. Kwok (ICLR, 2024)

Mixup Augmentation with Multiple Interpolations. - Lifeng Shen; Jincheng Yu; Hansi Yang; James T. Kwok (CoRR, 2024)

LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting. - Lingzheng Zhang; Lifeng Shen; Yimin Zheng; Shiyuan Piao; Ziyue Li 002; Fugee Tsung (CoRR, 2024)

Granular-Ball-Induced Multiple Kernel K-Means. - Shuyin Xia; Yifan Wang; Lifeng Shen; Guoyin Wang 001 (CoRR, 2025)