Moving Window Abnormal Condition Monitoring Strategy Based on Supervised Sample Selection and Its Industrial Application. - Kaixun He; Zhaoyang Su (CAA SAFEPROCESS, 2019)

Biased Minimax Probability Machine-Based Adaptive Regression for Online Analysis of Gasoline Property. - Kaixun He; Maiying Zhong; Jingzhong Fang; Yiran Li (IEEE Trans. Ind. Informatics, 2020)

An improved random forest with variable selection for NOx emission prediction and its application. - Kaixun He; Haixiao Ding; Ningfan Zhong; Tao Sui (SAFEPROCESS, 2023)

Fault-tolerant tracking control of discrete-time multi-agent systems with sensor faults. - Ji Zhang; Donghua Zhou; Kaixun He (SAFEPROCESS, 2023)

Open-Switch Fault Diagnosis for Three-Level Active Power Filters Based on Voltage Vector Residual Estimation. - Ningfan Zhong; Di Xu; Kaixun He (SAFEPROCESS, 2023)

Interaction Between Evapotranspiration and Meteorological and Hydrological Factors in Drought Events: A Case Study of The Yangtze River Basin. - Kaixun He; Hui Lu 003 (IGARSS, 2023)

Global Optimization of Soil Texture from a Long-Term Satellite Soil Moisture Dataset. - Qing He 010; Hui Lu 003; Kaixun He; Jianhong Zhou; Yawei Xu; Kun Yang 004; Jiancheng Shi 001 (IGARSS, 2023)

Fault Diagnosis for Large-Scale Processes Based on Robust Multiblock Global Orthogonal Projections to Latent Structures. - Rongrong Sun; Youqing Wang; Zonglei Mou; Kaixun He (IEEE Trans Autom. Sci. Eng., 2023)

Obtaining Soil Moisture Data Using an L-Band Passive Microwave Radiometer Based on Unmanned Aerial Vehicles. - Yawei Xu; Jinyang Du; Hui Lu 003; Jiaxin Tian; Kaixun He (IGARSS, 2024)

Prediction of NOx Emissions in Thermal Power Plants Using a Dynamic Soft Sensor Based on Random Forest and Just-in-Time Learning Methods. - Kaixun He; Haixiao Ding (Sensors, 2024)

An efficient and lightweight adaptive network for three-dimensional medical image segmentation. - Dayu Tan; Manman Shi; Yansen Su; Xin Peng 003; Chunhou Zheng 001; Kaixun He; Weimin Zhong (Eng. Appl. Artif. Intell., 2025)