Early detection of liver disease using data visualisation and classification method. - Xiaofeng Zhou 001; Yonglai Zhang; Mingrui Shi; Haibo Shi; Zeyu Zheng (Biomed. Signal Process. Control., 2014)

Corrosion pitting damage detection of rolling bearings using data mining techniques. - Yonglai Zhang; Xiaofeng Zhou 001; Haibo Shi; Zeyu Zheng; Shuai Li 003 (Int. J. Model. Identif. Control., 2015)

Density peaks clustering based on multiple distance measures for manufacturing process. - Shuai Li 003; Shiying Gao; Xiaofeng Zhou 001 (ICIA, 2016)

Correlated and weakly correlated fault detection based on variable division and ICA. - Shuai Li 003; Xiaofeng Zhou 001; Fucheng Pan; Haibo Shi; Kaituo Li; Zhongwei Wang (Comput. Ind. Eng., 2017)

Multi-dimensional data visualisation method based on convex-corrected Radviz. - Jingjing Yin; Haibo Shi; Xiaofeng Zhou 001; Liang Jin; Shuai Li 003; Yichi Zhang (Int. J. Comput. Appl. Technol., 2020)

Fault Diagnosis Based on Multi-scale LSTM-FCNs for Industrial Process. - Shaojie Yang; Peng Li; Shuai Li 003; Xiaofeng Zhou 001; Shanghong Jiang (CAA SAFEPROCESS, 2021)

CF-DAML: Distributed automated machine learning based on collaborative filtering. - Pengjie Liu; Fucheng Pan; Xiaofeng Zhou 001; Shuai Li 003; Liang Jin (Appl. Intell., 2022)

Muformer: A long sequence time-series forecasting model based on modified multi-head attention. - Pengyu Zeng; Guoliang Hu; Xiaofeng Zhou 001; Shuai Li 003; Pengjie Liu; Shurui Liu (Knowl. Based Syst., 2022)

Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model. - Xinyi Zuo; Xiaofeng Zhou 001; Daquan Guo; Shuai Li 003; Shurui Liu; Chunhui Xu (IEEE Geosci. Remote. Sens. Lett., 2022)

Dsa-PAML: a parallel automated machine learning system via dual-stacked autoencoder. - Pengjie Liu; Fucheng Pan; Xiaofeng Zhou 001; Shuai Li 003; Pengyu Zeng; Shurui Liu; Liang Jin (Neural Comput. Appl., 2022)

Learning Latent ODEs With Graph RNN for Multi-Channel Time Series Forecasting. - Fei Zhan; Xiaofeng Zhou 001; Shuai Li 003; Dongni Jia; Hong Song (IEEE Signal Process. Lett., 2023)

Soft Sensor Model for Billet Temperature in Multiple Heating Furnaces Based on Transfer Learning. - Naiju Zhai; Xiaofeng Zhou 001; Shuai Li 003; Haibo Shi (IEEE Trans. Instrum. Meas., 2023)

Time Series Prediction Method of Industrial Process With Limited Data Based on Transfer Learning. - Xiaofeng Zhou 001; Naiju Zhai; Shuai Li 003; Haibo Shi (IEEE Trans. Ind. Informatics, 2023)

Seformer: a long sequence time-series forecasting model based on binary position encoding and information transfer regularization. - Pengyu Zeng; Guoliang Hu; Xiaofeng Zhou 001; Shuai Li 003; Pengjie Liu (Appl. Intell., 2023)

Governing equation discovery based on causal graph for nonlinear dynamic systems. - Dongni Jia; Xiaofeng Zhou 001; Shuai Li 003; Shurui Liu; Haibo Shi (Mach. Learn. Sci. Technol., 2023)

A Recurrent Spatio-Temporal Graph Neural Network Based on Latent Time Graph for Multi-Channel Time Series Forecasting. - Linzhi Li; Xiaofeng Zhou 001; Guoliang Hu; Shuai Li 003; Dongni Jia (IEEE Signal Process. Lett., 2024)

Model-based reinforcement learning with adversarial discriminative domain adaptation. - Bo Zhang; Fucheng Pan; Xiaofeng Zhou 001; Shuai Li 003; Shurui Liu (J. Frankl. Inst., 2025)

Auxiliary Knowledge-Based Fine-Tuning Mechanism for Industrial Time-Lag Parameter Prediction. - Naiju Zhai; Xiaofeng Zhou 001; Shuai Li 003; Haibo Shi (IEEE Trans Autom. Sci. Eng., 2025)

Spatio-temporal attention-based hybrid deep network for time series prediction of industrial process. - Dong Lu; Xiaofeng Zhou 001; Shuai Li 003 (Appl. Intell., 2025)

An Adaptive Continual Learning Method for Nonstationary Industrial Time Series Prediction. - Mengqing Wu; Xiaofeng Zhou 001; Shuai Li 003; Haibo Shi (IEEE Trans. Ind. Informatics, 2025)