Image Fusion Using Self-constraint Pulse-coupled Neural Network. - Zhuqing Jiao; Weili Xiong; Baoguo Xu (LSMS/ICSEE, 2010)

Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems. - Weili Xiong; Wei Fan; Rui Ding (J. Appl. Math., 2012)

D-S Theory Based on an Improved PSO for Data Fusion. - Peiyi Zhu; Weili Xiong; Ningning Qin; Baoguo Xu (J. Networks, 2012)

An iterative numerical algorithm for modeling a class of Wiener nonlinear systems. - Weili Xiong; Junxia Ma; Ruifeng Ding (Appl. Math. Lett., 2013)

Adaptive soft sensor for online prediction based on enhanced moving window GPR. - Wei Zhang; Yanjun Li; Weili Xiong; Baoguo Xu (ICCAIS, 2015)

Design and simulation for sensor network performance evaluation system based on Matlab GUI. - Shucai Zhu; Ningning Qin; Weili Xiong; Xin Zheng (ICCAIS, 2015)

JITL based MWGPR soft sensor for multi-mode process with dual-updating strategy. - Weili Xiong; Wei Zhang; Baoguo Xu; Biao Huang 001 (Comput. Chem. Eng., 2016)

Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities. - Junxia Ma; Weili Xiong; Feng Ding 001; Ahmed Alsaedi; Tasawar Hayat (J. Frankl. Inst., 2016)

Robust identification of Wiener time-delay system with expectation-maximization algorithm. - Xianqiang Yang 001; Weili Xiong; Junxia Ma; Zeyuan Wang (J. Frankl. Inst., 2017)

A Computationally Efficient Received Signal Strength Based Localization Algorithm in Closed-Form for Wireless Sensor Network. - Xinrong Zhang; Weili Xiong; Baoguo Xu (Neural Process. Lett., 2017)

Expectation maximization estimation algorithm for Hammerstein models with non-Gaussian noise and random time delay from dual-rate sampled-data. - Junxia Ma; Jing Chen 007; Weili Xiong; Feng Ding 001 (Digit. Signal Process., 2018)

A robust global approach for LPV FIR model identification with time-varying time delays. - Xin Liu 038; Xianqiang Yang 001; Weili Xiong (J. Frankl. Inst., 2018)

Soft sensor modeling with a selective updating strategy for Gaussian process regression based on probabilistic principle component analysis. - Weili Xiong; Xudong Shi 001 (J. Frankl. Inst., 2018)

Parameter identification of nonlinear multirate time-delay system with uncertain output delays. - Xianqiang Yang 001; Weili Xiong; Zeyuan Wang; Xin Liu 038 (Trans. Inst. Meas. Control, 2018)

Sliding Window Iterative Identification of Systems With Asymmetric Preload Nonlinearity Based on the Key Term Separation. - Junxia Ma; Qiulin Fei; Weili Xiong (IEEE Access, 2019)

Online soft sensing method based on improved weighted Gaussian model. - Xiaoqing Che; Weili Xiong (Int. J. Model. Identif. Control., 2019)

Multi-mode process monitoring based on multi-block information extraction PCA method with local neighbourhood standardisation. - Bingbin Gu; Weili Xiong (Int. J. Model. Identif. Control., 2019)

Robust identification of nonlinear time-delay system in state-space form. - Xin Liu 038; Xianqiang Yang 001; Pengbo Zhu; Weili Xiong (J. Frankl. Inst., 2019)

Multi-Block Fault Detection for Plant-Wide Dynamic Processes Based on Fault Sensitive Slow Features and Support Vector Data Description. - Chao Zhai; Xiaochen Sheng; Weili Xiong (IEEE Access, 2020)

Adaptive ensemble learning strategy for semi-supervised soft sensing. - Xudong Shi 001; Weili Xiong (J. Frankl. Inst., 2020)

Smart Soft Sensor Design with Hierarchical Sampling Strategy of Ensemble Gaussian Process Regression for Fermentation Processes. - Xiaochen Sheng; Junxia Ma; Weili Xiong (Sensors, 2020)

Dynamic Soft Sensor Modeling for Time Sequence Data Based on Convolution Filters. - Weili Xiong; Wenxin Sun (IEEE Trans. Control. Syst. Technol., 2021)

Input Variable Selection and Structure Optimization for LSTM-Based Soft Sensor With a Dual Nonnegative Garrote Approach. - Lin Sui; Kai Sun; Junxia Ma; Jiayu Wang; Weili Xiong (IEEE Trans. Instrum. Meas., 2023)

Incremental learning for Lagrangian ε-twin support vector regression. - Binjie Gu; Jie Cao; Feng Pan; Weili Xiong (Soft Comput., 2023)

Digital twins-based process monitoring for wastewater treatment processes. - Wentao Liu; Sudao He; Jianpeng Mou; Ting Xue; Hongtian Chen; Weili Xiong (Reliab. Eng. Syst. Saf., 2023)

Novel Semi-Supervised Deep Probabilistic Slow Feature Extraction for Online Chemical Process Soft Sensing Application. - Jiayu Wang; Le Yao; Weili Xiong (IEEE Trans. Instrum. Meas., 2024)

An improved transfer learning approach based on geodesic flow kernel for multiphase batch process soft sensor modeling. - Jikun Zhu; Weili Xiong (Trans. Inst. Meas. Control, 2024)

Fault Detection in Wastewater Treatment Process Using Broad Slow Feature Neural Network With Incremental Learning Ability. - Peng Chang 001; Ying Xu; Fanchao Meng 003; Weili Xiong (IEEE Trans. Ind. Informatics, 2024)

A Novel CVAE-Based Sequential Monte Carlo Framework for Dynamic Soft Sensor Applications. - Wenxin Sun; Weili Xiong; Hongtian Chen; Ranjith Chiplunkar; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2024)

Novel Two-Stream Deep Slow and Nonstationary Fast Feature Extraction for Chemical Process Soft Sensing Application. - Jiayu Wang; Le Yao; Lin Sui; Weili Xiong (IEEE Trans. Ind. Informatics, 2024)

Parameter estimation method for separable fractional-order Hammerstein nonlinear systems based on the on-line measurements. - Junwei Wang; Weili Xiong; Feng Ding 001; Yihong Zhou; Erfu Yang (Appl. Math. Comput., 2025)

Online identification for output-error models with random time delays based on auxiliary model and recursive expectation maximization algorithm. - Ronghuan Li; Junxia Ma; Yujie Ma; Weili Xiong (Digit. Signal Process., 2025)

Semi-Supervised Probabilistic Learning Network for Soft Sensor Modeling With Partially Labeled Data. - Xudong Shi 001; Ronghuan Li; Humberto Morales; Adriana Amicarelli; Wangya Huang; Weili Xiong (IEEE Trans Autom. Sci. Eng., 2025)

Maximum Likelihood-Based Neural Network for Monitoring Wastewater Treatment Processes. - Wentao Liu; Huanqi Sun; Wenxin Sun; Weili Xiong (IEEE Trans. Instrum. Meas., 2025)

A Spatiotemporal Masked Pretraining Framework for Nonlinear Dynamic Soft Sensor Development. - Xudong Shi 001; Kangping Du; Wenxin Sun; Weili Xiong (IEEE Trans. Instrum. Meas., 2025)

A Temporal Convolutional-Based Kolmogorov-Arnold Network for Industrial Soft Sensor Modeling. - Huanqi Sun; Wentao Liu; Fengrong Zeng; Lin Sui; Le Yao; Weili Xiong (IEEE Trans. Instrum. Meas., 2025)

OSF-JS: Orthonormal Slow Feature-Based Quality-Related Data Decomposition Network With Jensen-Shannon Divergence for Chemical Processes Incipient Fault Detection. - Jiayu Wang; Le Yao; Weili Xiong; Xiaohui Cui; Wei Yu 028; Brent R. Young (IEEE Trans. Instrum. Meas., 2025)

Deep Spatial-Temporal Slow Feature Transfer Network for Multimode Chemical Process Soft Sensing on Imbalanced Data. - Jiayu Wang; Le Yao; Weili Xiong; Xiaohui Cui; Wei Yu; Brent R. Young (IEEE Trans. Ind. Informatics, 2025)

Time-Aware Rotary Transformer for Soft Sensing of Irregularly Sampled Industrial Time Sequences. - Xudong Shi 001; Kangping Du; Weili Xiong; Humberto Morales (IEEE Internet Things J., 2025)