A Deep Learning Framework for Short-term Power Load Forecasting. - Tinghui Ouyang; Yusen He; Huajin Li; Zhiyu Sun; Stephen Baek (CoRR, 2017)

A hybrid machine learning and computing model for forecasting displacement of multifactor-induced landslides. - Xing Zhu; Qiang Xu; Minggao Tang; Huajin Li; Fangzhou Liu (Neural Comput. Appl., 2018)

Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network. - Tinghui Ouyang; Yusen He; Huajin Li; Zhiyu Sun; Stephen Baek (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Spatiotemporal evolution and surface response of land subsidence over a large-scale land creation area on the Chinese Loess Plateau. - Chuanhao Pu; Qiang Xu 004; Kuanyao Zhao; Wanlin Chen; Xiaochen Wang; Huajin Li; Jialiang Liu; Pinglang Kou (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A Graph Convolutional Incorporating GRU Network for Landslide Displacement Forecasting Based on Spatiotemporal Analysis of GNSS Observations. - Yanan Jiang; Huiyuan Luo; Qiang Xu 004; Zhong Lu; Lu Liao; Huajin Li; Lina Hao (Remote. Sens., 2022)

Landslide Deformation Uncertainty Quantification Using Conformalized Graph Neural Networks: A Case Study in Sichuan Province, China. - Xiaopeng Ren; Wei Liu; Weiqi Yang; Lixuan Mao; Huajin Li (IEEE Access, 2025)