Rough set-based heuristic hybrid recognizer and its application in fault diagnosis. - Zhiqiang Geng; Qunxiong Zhu (Expert Syst. Appl., 2009)

A share strategy for utility frequent patterns mining. - Xiaoyong Lin; Qunxiong Zhu; Fang Li; Zhiqiang Geng; Shenghui Shi (FSKD, 2010)

Integrated MMPSO and RBFNN for optimal control of cracking depth in ethylene cracking furnace. - Zhiqiang Geng; Tianfeng Shang; Fang Li (ICNC, 2010)

Data Fusion-Based Extraction Method of Energy Consumption Index for the Ethylene Industry. - Zhiqiang Geng; Yongming Han; Yuanyuan Zhang; Xiaoyun Shi (LSMS/ICSEE (2), 2010)

Hierarchy probability cost analysis model incorporate MAIMS principle for EPC project cost estimation. - Xiangbai Gu; Zhiqiang Geng; Wenxing Xu; Qunxiong Zhu (Expert Syst. Appl., 2011)

MPSO-Based Operational Conditions Optimization in Chemical Process: A Case Study. - Lirong Xia; Jizheng Chu; Zhiqiang Geng (AICI, 2012)

A Constraints Scattered Memetic Algorithm for Constrained Optimization Problem. - Qunxiong Zhu; Wenxing Xu; Zhenyu Wang; Zhiqiang Geng (J. Comput., 2012)

Intra-Transition Data Dependence. - Shenghui Shi; Qunxiong Zhu; Zhiqiang Geng; Wenxing Xu (J. Softw., 2012)

A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization. - Wenxing Xu; Zhiqiang Geng; Qunxiong Zhu; Xiangbai Gu (Inf. Sci., 2013)

A Multiswarm Competitive Particle Swarm Algorithm for Optimization Control of an ethylene cracking Furnace. - Lirong Xia; Jizheng Chu; Zhiqiang Geng (Appl. Artif. Intell., 2014)

A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise. - Yan-Lin He; Zhiqiang Geng; Yuan Xu; Qunxiong Zhu (Neurocomputing, 2014)

Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries. - Yongming Han; Zhiqiang Geng; Xiangbai Gu; Qunxiong Zhu (Eng. Appl. Artif. Intell., 2015)

A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets. - Yan-Lin He; Zhiqiang Geng; Qunxiong Zhu (Eng. Appl. Artif. Intell., 2015)

Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state. - Yanlin He; Zhiqiang Geng; Qunxiong Zhu (Neurocomputing, 2015)

Cost estimation method based on parallel Monte Carlo simulation and market investigation for engineering construction project. - Bao Zhu; Le-An Yu; Zhiqiang Geng (Clust. Comput., 2016)

A New Fuzzy Process Capability Estimation Method Based on Kernel Function and FAHP. - Zhiqiang Geng; Zun Wang; Chenglong Peng; Yongming Han (IEEE Trans. Engineering Management, 2016)

An enhanced extreme learning machine with a double parallel structure and its application to modeling complex chemical processes. - Yanlin He; Pingjiang Wang; Zhiqiang Geng; Yongming Han; Hao Sheng 001; Qunxiong Zhu (ASCC, 2017)

A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes. - Yuan Xu; Ziqian Zhou; Zhiqiang Geng; Yanqing Wang; Yanlin He; Qunxiong Zhu (ASCC, 2017)

The numerical method for the optimal supporting position and related optimal control for the catalytic reaction system. - Qiyu Liu; Qunxiong Zhu; Xin Yu; Zhiqiang Geng; Longjin Lv (Clust. Comput., 2017)

A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes. - Zhiqiang Geng; Jungen Dong; Jie Chen; Yongming Han (Eng. Appl. Artif. Intell., 2017)

Energy consumption analysis and evaluation of petrochemical industries using an improved fuzzy analytic hierarchy process approach. - Yongming Han; Zhiqiang Geng; Qunxiong Zhu; Zun Wang; Yunfei Cui (J. Intell. Fuzzy Syst., 2017)

Energy Efficiency Prediction Based on PCA-FRBF Model: A Case Study of Ethylene Industries. - Zhiqiang Geng; Jie Chen; Yongming Han (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Pattern recognition for water flooded layer based on ensemble classifier. - Zhiqiang Geng; Xuan Hu; Qunxiong Zhu; Yongming Han; Yuan Xu; Yanlin He (CoDIT, 2018)

A novel nonlinear virtual sample generation approach integrating extreme learning machine with noise injection for enhancing energy modeling and analysis on small data: Application to petrochemical industries. - Yanlin He; Zhiqiang Geng; Yongming Han; Yuan Xu; Qunxiong Zhu (CoDIT, 2018)

Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network. - Chen Zhang; Qunxiong Zhu; Zhiqiang Geng; Yuan Xu; Yongming Han; Yanlin He; Fang Duan (CoDIT, 2018)

A Novel Asymmetric Embedding Model for Knowledge Graph Completion. - Zhiqiang Geng; Zhongkun Li; Yongming Han (ICPR, 2018)

Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification. - Yongming Han; Shuheng Zhang; Zhiqiang Geng (ICPR, 2018)

A new deep belief network based on RBM with glial chains. - Zhiqiang Geng; Zhongkun Li; Yongming Han (Inf. Sci., 2018)

Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis. - Zhiqiang Geng; Fenfen Liu; Yongming Han; Qunxiong Zhu; Yanlin He (ASCC, 2019)

Soft sensor development using PLSR based multi-kernel ELM. - Qunxiong Zhu; Xiaohan Zhang; Huihui Gao; Zhiqiang Geng; Yongming Han; Yan-Lin He; Yuan Xu (ASCC, 2019)

Energy Efficiency Recognition and Diagnosis of Complex Industrial Processes using Multivariate Nonlinear Regression Method. - Zhiqiang Geng; Minjie Cheng; Yongming Han; Qin Wei; Zhi Ouyang (CAA SAFEPROCESS, 2019)

A model-free Bayesian classifier. - Zhiqiang Geng; Qingchao Meng; Ju Bai; Jie Chen; Yongming Han; Qin Wei; Zhi Ouyang (Inf. Sci., 2019)

A pattern recognition modeling approach based on the intelligent ensemble classifier: Application to identification and appraisal of water-flooded layers. - Zhiqiang Geng; Xuan Hu; Ning Ding; Shanshan Zhao; Yongming Han (J. Syst. Control. Eng., 2019)

Semantic relation extraction using sequential and tree-structured LSTM with attention. - Zhiqiang Geng; GuoFei Chen; Yongming Han; Gang Lu; Fang Li (Inf. Sci., 2020)

An asymmetric knowledge representation learning in manifold space. - Yongming Han; GuoFei Chen; Zhongkun Li; Zhiqiang Geng; Fang Li; Bo Ma 007 (Inf. Sci., 2020)

Novel Soft Sensor Model based on Spatio-Temporal Attention. - Xuan Hu; Zhiqiang Geng; Yongming Han; Wei Huang; Kai Chen; Feng Xie (IJCNN, 2021)

A Novel Matrix Completion Model Based on the Multi-Layer Perceptron Integrating Kernel Regularization. - Xuan Hu; Yongming Han; Zhiqiang Geng (IEEE Access, 2021)

DTaxa: An actor-critic for automatic taxonomy induction. - Yongming Han; Yanwei Lang; Minjie Cheng; Zhiqiang Geng; GuoFei Chen; Tao Xia (Eng. Appl. Artif. Intell., 2021)

Joint entity and relation extraction model based on rich semantics. - Zhiqiang Geng; Yanhui Zhang; Yongming Han (Neurocomputing, 2021)

Novel Trajectory Representation Learning Method and Its Application to Trajectory-User Linking. - Xuan Hu 001; Yongming Han; Zhiqiang Geng (IEEE Trans. Instrum. Meas., 2021)

Risk prediction model for food safety based on improved random forest integrating virtual sample. - Zhiqiang Geng; Xiaoyan Duan; Jiatong Li; Chong Chu; Yongming Han (Eng. Appl. Artif. Intell., 2022)

Novel blockchain transaction provenance model with graph attention mechanism. - Zhiqiang Geng; Yuan Cao; Jun Li; Yongming Han (Expert Syst. Appl., 2022)

Novel target attention convolutional neural network for relation classification. - Zhiqiang Geng; Jun Li; Yongming Han; Yanhui Zhang (Inf. Sci., 2022)

Short-Time Wavelet Entropy Integrating Improved LSTM for Fault Diagnosis of Modular Multilevel Converter. - Yongming Han; Wang Qi; Ning Ding; Zhiqiang Geng (IEEE Trans. Cybern., 2022)

Novel Transformer Based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes. - Zhiqiang Geng; Zhiwei Chen; Qingchao Meng; Yongming Han (IEEE Trans. Ind. Informatics, 2022)

A novel pedal musculoskeletal response based on differential spatio-temporal LSTM for human activity recognition. - Hao Wu 010; Zhichao Zhang; Xiaoyong Li; Kai Shang; Yongming Han; Zhiqiang Geng; Tingrui Pan (Knowl. Based Syst., 2023)

Robust Low-Rank Clustering Contrastive Learning Integrating Transformer for Noisy Industrial Soft Sensors. - Hao Wu; Yongming Han; Min Liu 013; Zhiqiang Geng (IEEE Trans. Instrum. Meas., 2023)

Temporal Chain Network With Intuitive Attention Mechanism for Long-Term Series Forecasting. - Zhen Zhang 045; Yongming Han; Bo Ma 007; Min Liu 013; Zhiqiang Geng (IEEE Trans. Instrum. Meas., 2023)

Intelligent Small Sample Defect Detection of Water Walls in Power Plants Using Novel Deep Learning Integrating Deep Convolutional GAN. - Zhiqiang Geng; Chunjing Shi; Yongming Han (IEEE Trans. Ind. Informatics, 2023)

Novel Feature-Disentangled Autoencoder Integrating Residual Network for Industrial Soft Sensor. - Hao Wu 010; Yongming Han; Qunxiong Zhu; Zhiqiang Geng (IEEE Trans. Ind. Informatics, 2023)

Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety. - Zhiqiang Geng; Xintian Wang; Yuangang Jiang; Yongming Han; Bo Ma 007; Chong Chu (Expert Syst. Appl., 2023)

A Novel Wrapped Feature Selection Framework for Developing Power System Intrusion Detection Based on Machine Learning Methods. - Yongming Han; Yue Wang; Yuan Cao; Zhiqiang Geng; Qunxiong Zhu (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Novel intelligent defects detection of boiler water walls in thermal power plants based on OFM_SSD. - Yongming Han; Lei Wang; Jintao Liu; Liang Yuan; Hongxu Liu; Bo Ma 007; Zhiqiang Geng (Displays, 2024)

Novel CNN-based transformer integrating Boruta algorithm for production prediction modeling and energy saving of industrial processes. - Yongming Han; Longkun Han; Xinwei Shi; Jun Li; Xiaoyi Huang; Xuan Hu; Chong Chu; Zhiqiang Geng (Expert Syst. Appl., 2024)

Noise adaptive filtering model integrating spatio-temporal feature for soft sensor. - Xuan Hu; Tianyu Zhang 005; Zhiqiang Geng; Yongming Han (Expert Syst. Appl., 2024)

Rule representation and a switchable pattern matching model for hot-rolled steel production scheduling system with rule engine. - Yanguang Sun; Zhiqiang Geng; Jinxiang Chen; Jiachen Gu; Gang Sheng (Int. J. Simul. Process. Model., 2024)

Improved dragonfly optimization algorithm based on quantum behavior for multi-objective optimization of ethylene cracking furnace. - Xintian Wang; Zhiqiang Geng; Liangchao Chen; Yongming Han (Swarm Evol. Comput., 2024)

Novel spatiotemporal graph attention model for production prediction and energy structure optimization of propylene production processes. - Xiaoyong Lin; Zihui Li; Yongming Han; Zhiwei Chen; Zhiqiang Geng (Comput. Chem. Eng., 2024)

Intelligent Small Sample Defect Detection of Concrete Surface Using Novel Deep Learning Integrating Improved YOLOv5. - Yongming Han; Lei Wang; Youqing Wang; Zhiqiang Geng (IEEE CAA J. Autom. Sinica, 2024)

Graph Structure Change-Based Anomaly Detection in Multivariate Time Series of Industrial Processes. - Zhen Zhang 045; Zhiqiang Geng; Yongming Han (IEEE Trans. Ind. Informatics, 2024)

Novel Long Short-Term Memory Model Based on the Attention Mechanism for the Leakage Detection of Water Supply Processes. - Yongming Han; Zhiyi Li; Xuan Hu; Youqing Wang; Zhiqiang Geng (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Synthesized minority Oversampling Technique-Reverse k-nearest Neighbors-K-Dimensional Tree for dairy food safety risk evaluation. - Yongming Han; Jiaxin Liu; Feng Pan; Qingxu Ni; Bo Ma 007; Zhiqiang Geng (Expert Syst. Appl., 2025)

Fault detection for multimode process based on local neighborhood-density standardization and ensemble serial global-local preserving projections processes. - Tao Li; Yongming Han; Xiaoyan Duan; Bo Ma 007; Zhiqiang Geng (Reliab. Eng. Syst. Saf., 2025)

Adaptive search based Grey Wolf optimization algorithm for multi-objective optimization of ethylene cracking furnace. - Zhiqiang Geng; Weikang Kong; Xintian Wang; Ling Wang 001; Yongming Han (Swarm Evol. Comput., 2025)

Corrigendum to "Adaptive search based Grey Wolf optimization algorithm for multi-objective optimization of ethylene cracking furnace" [Swarm Evol. Comput. 92 (2025) 101,810]. - Zhiqiang Geng; Weikang Kong; Xintian Wang; Ling Wang 001; Yongming Han (Swarm Evol. Comput., 2025)

Noise Adaptive Filtering Neural Network Under Multiscale Features. - Xuan Hu 001; Peihao Zheng; Zhiqiang Geng; Yongming Han (IEEE Trans Autom. Sci. Eng., 2025)

Twofold Weighted-Based Statistical Feature KECA for Nonlinear Industrial Process Fault Diagnosis. - Tao Li; Yongming Han; Xuan Hu 001; Bo Ma 007; Zhiqiang Geng (IEEE Trans Autom. Sci. Eng., 2025)

A Time Series Self-Supervised Contrastive Pretraining Method With Data Augmentation Using Discrepancy of Reconstruction Information Loss. - Zhen Zhang 045; Yongming Han; Bo Ma 007; Zhiqiang Geng (IEEE Trans. Instrum. Meas., 2025)

Improved convolution neural network integrating attention based deep sparse auto encoder for network intrusion detection. - Zhiqiang Geng; Xueming Li; Bo Ma 007; Yongming Han (Appl. Intell., 2025)

A Self-Attention Mechanism Integrating Adaptive Double Subspace for Fault Detection in Industrial Processes. - Tao Li; Yongming Han; Youqing Wang; Zhiqiang Geng (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Long-Term Series Forecasting for Industrial Processes Based on Multiscale Hybrid Decomposition Feature Extraction Network. - Yue Wang; Yongming Han; Xuan Hu 001; Zhiqiang Geng (IEEE Trans. Ind. Informatics, 2025)