Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning. - Ansi Zhang; Shaobo Li 001; Yuxin Cui; Wanli Yang; Rongzhi Dong; Jianjun Hu (IEEE Access, 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)

Crystal structure prediction of materials with high symmetry using differential evolution. - Wenhui Yang; Edirisuriya M. Dilanga Siriwardane; Rongzhi Dong; Yuxin Li; Jianjun Hu (CoRR, 2021)

Materials Transformers Language Models for Generative Materials Design: a benchmark study. - Nihang Fu; Lai Wei 008; Yuqi Song; Qinyang Li; Rui Xin; Sadman Sadeed Omee; Rongzhi Dong; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (CoRR, 2022)

Materials Property Prediction with Uncertainty Quantification: A Benchmark Study. - Daniel Varivoda; Rongzhi Dong; Sadman Sadeed Omee; Jianjun Hu (CoRR, 2022)

Scalable deeper graph neural networks for high-performance materials property prediction. - Sadman Sadeed Omee; Steph-Yves M. Louis; Nihang Fu; Lai Wei 008; Sourin Dey; Rongzhi Dong; Qinyang Li; Jianjun Hu (Patterns, 2022)

Generative Design of inorganic compounds using deep diffusion language models. - Rongzhi Dong; Nihang Fu; Dirisuriya M. D. Siriwardane; Jianjun Hu (CoRR, 2023)

Material transformers: deep learning language models for generative materials design. - Nihang Fu; Lai Wei 008; Yuqi Song; Qinyang Li; Rui Xin; Sadman Sadeed Omee; Rongzhi Dong; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (Mach. Learn. Sci. Technol., 2023)

Global Mapping of Structures and Properties of Crystal Materials. - Qinyang Li; Rongzhi Dong; Nihang Fu; Sadman Sadeed Omee; Lai Wei 008; Jianjun Hu (J. Chem. Inf. Model., 2023)

Discovery of 2D Materials using Transformer Network-Based Generative Design. - Rongzhi Dong; Yuqi Song; Edirisuriya M. Dilanga Siriwardane; Jianjun Hu (Adv. Intell. Syst., 2023)

Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study. - Sadman Sadeed Omee; Nihang Fu; Rongzhi Dong; Ming Hu; Jianjun Hu (CoRR, 2024)

AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning. - Yuqi Song; Rongzhi Dong; Lai Wei 008; Qin Li; Jianjun Hu (CoRR, 2024)