Time-Series Prediction of Iron and Silicon Content in Aluminium Electrolysis Based on Machine Learning. - Linsheng Chen; Yongming Wu; Yingbo Liu; Tiansong Liu; Xiaojing Sheng (IEEE Access, 2021)

An adaptive algorithm for dealing with data stream evolution and singularity. - Yongming Wu; Linsheng Chen; Shao-bo Li; Jia-dui Chen (Inf. Sci., 2021)

Plant Species Classification Using Hyperspectral LiDAR with Convolutional Neural Network. - Wenxin Tian; Lingli Tang; Yuwei Chen; Ziyang Li; Shi Qiu 002; Xiaohui Li; Jiajia Zhu; Changhui Jiang; Peilun Hu; Jianxin Jia; Haohao Wu; Linsheng Chen; et al. (IGARSS, 2022)

A Deep Learning Based Method for Railway Overhead Wire Reconstruction from Airborne LiDAR Data. - Lele Zhang; Jinhu Wang; Yueqian Shen; Jian Liang; Yuyu Chen; Linsheng Chen; Mei Zhou (Remote. Sens., 2022)

Radiometric Correction of Incidence Angle and Distance Effects on Hyperspectral Lidar Point Cloud Classification. - Wenxin Tian; Lingli Tang; Yuwei Chen; Ziyang Li; Shi Qiu 002; Haohao Wu; Huijing Zhang; Linsheng Chen; Peilun Hu; Changhui Jiang; Jianxin Jia; Haibin Sun; et al. (IGARSS, 2023)

Prediction method of cigarette draw resistance based on correlation analysis. - Linsheng Chen; Zhonghua Yu; Bo Zhang; Qiang Zhu; Hu Fan; Yucan Qiu (Comput. Electron. Agric., 2023)

NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. - Linsheng Chen; Guangrun Wang; Liuchun Yuan; Keze Wang; Ken Deng; Philip H. S. Torr (AAAI, 2024)

Anomaly recognition method for cigarette manufacturing process based on graph structure learning. - Linsheng Chen; Bo Zhang; Qingsong Fan; Chen Xia; Hu Fan; Yucan Qiu; Zhonghua Yu (Comput. Electron. Agric., 2025)

Research on estimation of permeability coefficients in microbial geotechnical soils based on data-driven models. - Mayao Cheng; Linsheng Chen (Int. J. Bio Inspired Comput., 2025)