Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials. - Yabo Dan; Yong Zhao 014; Xiang Li 053; Shaobo Li 001; Ming Hu; Jianjun Hu (CoRR, 2019)

Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees. - Yabo Dan; Rongzhi Dong; Zhuo Cao 001; Xiang Li 053; Chengcheng Niu; Shaobo Li 001; Jianjun Hu (IEEE Access, 2020)

Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning. - Shaobo Li 001; Yabo Dan; Xiang Li 053; Tiantian Hu; Rongzhi Dong; Zhuo Cao 001; Jianjun Hu (Symmetry, 2020)