Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for nonlinear multiphase batch processes. - Huaiping Jin; Xiangguang Chen; Jianwen Yang; Lei Wu (Comput. Chem. Eng., 2014)

A generative image fusion approach based on supervised deep convolution network driven by weighted gradient flow. - Meng Wang; Xingwang Liu; Huaiping Jin (Image Vis. Comput., 2019)

Person re-identification with dictionary learning regularized by stretching regularization and label consistency constraint. - Huafeng Li; Weiyan Zhou; Zhengtao Yu 001; Biao Yang; Huaiping Jin (Neurocomputing, 2020)

Pseudo-Labeling Optimization Based Ensemble Semi-Supervised Soft Sensor in the Process Industry. - Youwei Li; Huaiping Jin; Shoulong Dong 002; Biao Yang; Xiangguang Chen (Sensors, 2021)

Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams. - Yuechen Wang; Huaiping Jin; Xiangguang Chen; Bin Wang 013; Biao Yang; Bin Qian 001 (Sensors, 2023)

An improved hybrid model for wind power forecasting through fusion of deep learning and adaptive online learning. - Xiongfeng Zhao; Haipeng Liu 003; Huaiping Jin; Shan Cao; Guangmei Tang (Comput. Electr. Eng., 2024)

Soft Sensor Development Based on Unsupervised Dynamic Weighted Domain Adaptation for Quality Prediction of Batch Processes. - Huaiping Jin; Qin Xiong; Bin Wang 013; Bin Qian 001; Biao Yang; Shoulong Dong 002 (IEEE Trans. Instrum. Meas., 2024)

CFI-ViT: A coarse-to-fine inference based vision transformer for gastric cancer subtype detection using pathological images. - Xinghang Wang; Haibo Tao; Bin Wang; Huaiping Jin; Zhenhui Li (Biomed. Signal Process. Control., 2025)

A quality-relevant deep rule-based system with complementary lifelong learning for adaptive quality prediction in industrial semi-supervised process data streams. - Yu Gao; Huaiping Jin; Zhiqiang Wang; Bin Wang 013; Bin Qian 001; Biao Yang (Inf. Sci., 2025)