Study of the techniques and development strategy for a concentrated type distribution automation. - Yi Zheng; Tianqi Liu; Bingbing Shen; Jianghe Zhao (ISGT, 2013)

Multi-innovation gradient parameter estimation algorithms for closed-loop Hammerstein nonlinear systems. - Ling Xu; Bingbing Shen; Feng Ding 001; Dongqing Wang (ACC, 2017)

Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems. - Bingbing Shen; Feng Ding 001; Ahmed Alsaedi; Tasawar Hayat (Circuits Syst. Signal Process., 2017)

LFM Interference Cancellation Algorithm Based on MDPT-WC for Mark XIIA Mode 5. - Huanhuan Duan; Yufan Cheng; Bingbing Shen; Kesi He; Guo Bai (ICCT, 2020)

Research on Strategy-Based Anti-jamming Intelligent Decision Engine for Adaptive Burst Communication. - Kesi He; Yufan Cheng; Huanhuan Duan; Bingbing Shen; Yu Ran (ICCT, 2020)

Supervised Nonlinear Dynamic System for Soft Sensor Application Aided by Variational Auto-Encoder. - Bingbing Shen; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2020)

Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application. - Bingbing Shen; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2021)

Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model. - Le Yao; Xiaoyu Jiang; Gaopan Huang; Jinchuan Qian; Bingbing Shen; Lu Xu; Zhiqiang Ge (IEEE Trans. Instrum. Meas., 2021)

Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications. - Bingbing Shen; Le Yao; Zhiqiang Ge (IEEE Trans. Cybern., 2023)

Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application. - Le Yao; Zeyu Yang; Zheng Zhang; Siyuan Tang; Bingbing Shen; Jiusun Zeng (IEEE Trans. Instrum. Meas., 2023)

Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application. - Le Yao; Bingbing Shen; Linlin Cui; Junhua Zheng; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2023)

Probabilistic Fusion Model for Industrial Soft Sensing Based on Quality-Relevant Feature Clustering. - Zeyu Yang; Le Yao; Bingbing Shen; Peiliang Wang (IEEE Trans. Ind. Informatics, 2023)

A Novel Three-Stage Filtering Identification Algorithm for the Exponential Autoregressive Time-Series Model. - Huan Xu; Ling Xu; Bingbing Shen (IEEE Signal Process. Lett., 2025)

Graph Contrastive Learning With Adaptive Distribution Transformation for Fault Detection and Isolation Using Limited Labeled Faults. - Mingwei Jia; Bingbing Shen; Yi Liu 024 (IEEE Trans. Instrum. Meas., 2025)