ALSTM: Adaptive LSTM for Durative Sequential Data. - Dejiao Niu; Zheng Xia; Yawen Liu; Tao Cai; Tianquan Liu; Yongzhao Zhan 001 (ICTAI, 2018)

APRNN: A New Active Propagation Training Algorithm for Distributed RNN. - Dejiao Niu; Tianquan Liu; Zheng Xia; Tao Cai; Yawen Liu; Yongzhao Zhan 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

A Novel Distributed Duration-Aware LSTM for Large Scale Sequential Data Analysis. - Dejiao Niu; Yawen Liu; Tao Cai; Xia Zheng; Tianquan Liu; Shijie Zhou (Big Data (CCF), 2019)

The Asynchronous Training Algorithm Based on Sampling and Mean Fusion for Distributed RNN. - Dejiao Niu; Tianquan Liu; Tao Cai; Shijie Zhou (IEEE Access, 2020)

Research on Blockchain Security Risk Analysis and Coping Strategies. - Guohong Yu; Chenggong Ni; Tianquan Liu (ICBDS, 2021)

A new hierarchical temporal memory based on recurrent learning unit. - Dejiao Niu; Le Yang; Tianquan Liu; Tao Cai; Shijie Zhou; Lei Li (J. Exp. Theor. Artif. Intell., 2023)