Parallel Multi-Environment Shaping Algorithm for Complex Multi-step Task. - Cong Ma 005; Zhizhong Li 002; Dahua Lin; Jiangshe Zhang 001 (Neurocomputing, 2020)

Penetrating the influence of regularizations on neural network based on information bottleneck theory. - Jiangshe Zhang 001; Cong Ma 005; Junmin Liu; Guang Shi (Neurocomputing, 2020)

A parallel multi-module deep reinforcement learning algorithm for stock trading. - Cong Ma 005; Jiangshe Zhang 001; Junmin Liu; Lizhen Ji; Fei Gao (Neurocomputing, 2021)

CondenseNet with exclusive lasso regularization. - Lizhen Ji; Jiangshe Zhang 001; Chunxia Zhang 002; Cong Ma 005; Shuang Xu; Kai Sun 007 (Neural Comput. Appl., 2021)

Hyperspectral Image Denoising by Asymmetric Noise Modeling. - Shuang Xu; Xiangyong Cao; Jiangjun Peng; Qiao Ke; Cong Ma 005; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2022)

Long Short-Term Memory Networks with Multiple Variables for Stock Market Prediction. - Fei Gao; Jiangshe Zhang 001; Chunxia Zhang 002; Shuang Xu; Cong Ma 005 (Neural Process. Lett., 2023)

Multi-agent deep reinforcement learning algorithm with trend consistency regularization for portfolio management. - Cong Ma 005; Jiangshe Zhang 001; Zongxin Li; Shuang Xu (Neural Comput. Appl., 2023)

Multi-step reward ensemble methods for adaptive stock trading. - Zhiyi Zeng; Cong Ma 005; Xiangyu Chang (Expert Syst. Appl., 2023)