RUC at TREC 2014: Select Resources Using Topic Models. - Qiuyue Wang; Shaochen Shi; Wei Cao (TREC, 2014)

Seismic Impedance Inversion Using a Joint Deep Learning Model Based on Convolutional Neural Network and Transformer. - Jingcheng Fu; Rui Fan; Junxing Cao; Xin Zhang; Shaochen Shi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development. - Sheng Gong; Yumin Zhang; Zhenliang Mu; Zhichen Pu; Hongyi Wang; Zhiao Yu; Mengyi Chen; Tianze Zheng; Zhi Wang; Lifei Chen; Xiaojie Wu; Shaochen Shi; et al. (CoRR, 2024)

A New Framework for Integrating DNN-Based Geographic Simulation Models within GISystems. - Peng Zhang; Wenzhou Wu; Cunjin Xue; Shaochen Shi; Fenzhen Su (ISPRS Int. J. Geo Inf., 2024)

A predictive machine learning force-field framework for liquid electrolyte development. - Sheng Gong; Yumin Zhang; Zhenliang Mu; Zhichen Pu; Hongyi Wang; Xu Han; Zhiao Yu; Mengyi Chen; Tianze Zheng; Zhi Wang 021; Lifei Chen; Zhenze Yang; et al. (Nat. Mac. Intell., 2025)