A bio-inspired emergent system for intelligent Web service composition and management. - Yongsheng Ding; Hongbin Sun 004; Kuangrong Hao (Knowl. Based Syst., 2007)

Adaptive design optimization of wireless sensor networks using Artificial Immune Algorithms. - Xingjia Lu; Yongsheng Ding; Kuangrong Hao (IEEE Congress on Evolutionary Computation, 2008)

Capacity-Building Oriented of Construction and Practice of the Electrical Information Professionals Computer Courses. - Kuangrong Hao; Yongsheng Ding (CSSE (5), 2008)

Trinocular matching realized by a monocular stereovision sensor for parallel manipulator. - Kuangrong Hao; Yongsheng Ding (ICARCV, 2008)

A cooperative co-evolutionary control method for Stewart platform. - Jian Sun; Yongsheng Ding; Kuangrong Hao (ISKE, 2008)

Identification of a parallel manipulator's pose using a parallelogram. - Shu-Ping Zhang; Yongsheng Ding; Kuangrong Hao (CDC, 2009)

An immune evolutionary algorithm based pose estimation method for parallel manipulator. - Shu-Ping Zhang; Yong-Sheng Ding; Kuangrong Hao (GEC Summit, 2009)

A new immune particle filter algorithm for tracking a moving target. - Hua Han 002; Yongsheng Ding; Kuangrong Hao (ICNC, 2010)

Maximum Margin Clustering Method Based on Immune Evolution for Electrocardiogram Arrhythmias Diagnosis. - Bohui Zhu; Yongsheng Ding; Kuangrong Hao (ISCID (2), 2011)

A Position-Velocity Cooperative Intelligent Controller Based on the Biological Neuroendocrine System. - Chongbin Guo; Kuangrong Hao; Yongsheng Ding; Xiao Liang 001; Yiwen Dou 001 (ISNN (3), 2011)

An evolutionary particle filter with the immune genetic algorithm for intelligent video target tracking. - Hua Han 002; Yongsheng Ding; Kuangrong Hao; Xiao Liang 001 (Comput. Math. Appl., 2011)

Immune clonal selection algorithm for target coverage of wireless sensor networks. - Xingjia Lu; Yongsheng Ding; Kuangrong Hao (Int. J. Model. Identif. Control., 2011)

Target coverage optimisation of wireless sensor networks using a multi-objective immune co-evolutionary algorithm. - Yongsheng Ding; Xingjia Lu; Kuangrong Hao; Long-Fei Li; Yifan Hu 003 (Int. J. Syst. Sci., 2011)

Moment Exponential Stability of Neutral Impulsive Nonlinear Stochastic Delay Partial Differential Equations. - Lei Zhang; Yongsheng Ding; Tong Wang 013; Liangjian Hu; Kuangrong Hao (AsiaSim (1), 2012)

A bio-inspired distributed object-tracking approach in wireless sensor networks. - Yanling Jin; Yongsheng Ding; Kuangrong Hao (CCIS, 2012)

Using an Improved Hormone Secreting Mechanism to Realize Persistent Object Tracking in WSN. - Yanling Jin; Yongsheng Ding; Kuangrong Hao (ICDMA, 2012)

An ensemble kernel classifier with immune clonal selection algorithm for automatic discriminant of primary open-angle glaucoma. - Lijun Cheng; Yongsheng Ding; Kuangrong Hao; Yifan Hu 003 (Neurocomputing, 2012)

Human fringe skeleton extraction by an improved Hopfield neural network with direction features. - Xin Huang; Kuangrong Hao; Yongsheng Ding (Neurocomputing, 2012)

A Bioinspired Multilayered Intelligent Cooperative Controller for Stretching Process of Fiber Production. - Xiao Liang 001; Yong-Sheng Ding; Lihong Ren; Kuangrong Hao; Hua-Ping Wang; Jiajia Chen (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Controllability of impulsive fractional stochastic partial differential equations. - Lei Zhang; Yongsheng Ding; Kuangrong Hao; Tong Wang 013 (ICCA, 2013)

An Intelligent Self-Organization Scheme for the Internet of Things. - Yongsheng Ding; Yanling Jin; Lihong Ren; Kuangrong Hao (IEEE Comput. Intell. Mag., 2013)

A Novel Automatic Detection System for ECG Arrhythmias Using Maximum Margin Clustering with Immune Evolutionary Algorithm. - Bohui Zhu; Yongsheng Ding; Kuangrong Hao (Comput. Math. Methods Medicine, 2013)

Robust state estimation for discrete-time stochastic genetic regulatory networks with probabilistic measurement delays. - Tong Wang 013; Yongsheng Ding; Lei Zhang; Kuangrong Hao (Neurocomputing, 2013)

Particle filter for state estimation of jump Markov nonlinear system with application to multi-targets tracking. - Hua Han 002; Yongsheng Ding; Kuangrong Hao; Liangjian Hu (Int. J. Syst. Sci., 2013)

A Three-Dimensional Virtual Simulation System of Spinning Production Line. - Yicun Hua; Yongsheng Ding; Kuangrong Hao; Yanling Jin (J. Softw., 2013)

An Intelligent Cooperative Decoupling Controller for Coagulation Bath in Polyacrylonitrile Carbon Fiber Production. - Yong-Sheng Ding; Xiao Liang 001; Kuangrong Hao; Hua-Ping Wang (IEEE Trans. Control. Syst. Technol., 2013)

The two-dimensional code image tilt correction method based on least squares support vector machines. - Yuanqian Cao; Yongsheng Ding; Shicao Luo; Kuangrong Hao (ICAILP, 2014)

A reconfigurable control system based on biological immune mechanism. - Shengfang Dai; Yongsheng Ding; Lihong Ren; Kuangrong Hao; Junjun Huang (SMC, 2014)

SVM optimization algorithm based on dynamic clustering and ensemble learning for large scale dataset. - Shiyu Shu; Lihong Ren; Yongsheng Ding; Kuangrong Hao; Rui Jiang (SMC, 2014)

Multiclass maximum margin clustering via immune evolutionary algorithm for automatic diagnosis of electrocardiogram arrhythmias. - Bohui Zhu; Yongsheng Ding; Kuangrong Hao (Appl. Math. Comput., 2014)

Immunological mechanism inspired iterative learning control. - Nan Xu; Yongsheng Ding; Kuangrong Hao (Neurocomputing, 2014)

Physiological hemostasis based intelligent integrated cooperative controller for precise fault-tolerant control of redundant parallel manipulator. - Kuangrong Hao; Chongbin Guo; Yongsheng Ding (Int. J. Syst. Sci., 2014)

An immune orthogonal learning particle swarm optimisation algorithm for routing recovery of wireless sensor networks with mobile sink. - Yifan Hu 003; Yongsheng Ding; Kuangrong Hao; Lihong Ren; Hua Han 002 (Int. J. Syst. Sci., 2014)

Moment stability of fractional stochastic evolution equations with Poisson jumps. - Lei Zhang; Yongsheng Ding; Kuangrong Hao; Liangjian Hu; Tong Wang 013 (Int. J. Syst. Sci., 2014)

Data-Driven Cooperative Intelligent Controller Based on the Endocrine Regulation Mechanism. - Xiao Liang 001; Yongsheng Ding; Lihong Ren; Kuangrong Hao; Yanling Jin (IEEE Trans. Control. Syst. Technol., 2014)

Bidirectional Optimization of the Melting Spinning Process. - Xiao Liang 001; Yongsheng Ding; Zidong Wang 001; Kuangrong Hao; Kate Hone; Hua-Ping Wang (IEEE Trans. Cybern., 2014)

An Event and Rule-Driven Immune Clustering Routing Algorithm of Wireless Sensor Network with Mobile Sink. - Rui Chen; Yongsheng Ding; Kuangrong Hao; Feng Li (ISKE, 2015)

An Endocrine System Inspired Behavior Selecting Algorithm for Moving Robot System. - Fangzhou Li; Lihong Ren; Yongsheng Ding; Kuangrong Hao (ISKE, 2015)

Adaptive Sampling Algorithm with Endocrine Regulation Mechanism for Wireless Sensor Network. - Jiankai Zhang; Lihong Ren; Yongsheng Ding; Kuangrong Hao (ISKE, 2015)

A Dynamic Leader-Follower Strategy for Multi-robot Systems. - Feng Li; Yongsheng Ding; Kuangrong Hao (SMC, 2015)

Delay-dependent exponential state estimators for stochastic neural networks of neutral type with both discrete and distributed delays. - Tong Wang 013; Yongsheng Ding; Lei Zhang; Kuangrong Hao (Int. J. Syst. Sci., 2015)

MPSICA: An intelligent routing recovery scheme for heterogeneous wireless sensor networks. - Yongsheng Ding; Yifan Hu 003; Kuangrong Hao; Lijun Cheng (Inf. Sci., 2015)

An endocrine cooperative particle swarm optimization algorithm for routing recovery problem of wireless sensor networks with multiple mobile sinks. - Yifan Hu 003; Yongsheng Ding; Lihong Ren; Kuangrong Hao; Hua Han 002 (Inf. Sci., 2015)

Self-organized swarm robot for target search and trapping inspired by bacterial chemotaxis. - Bin Yang; Yongsheng Ding; Yaochu Jin; Kuangrong Hao (Robotics Auton. Syst., 2015)

An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks. - Yanling Jin; Yongsheng Ding; Kuangrong Hao; Yaochu Jin (Soft Comput., 2015)

A cytokine network-inspired cooperative control system for multi-stage stretching processes in fiber production. - Tao Zhang 082; Yaochu Jin; Yongsheng Ding; Kuangrong Hao (Soft Comput., 2015)

Data-Driven Neuroendocrine Ultrashort Feedback-Based Cooperative Control System. - Yongsheng Ding; Nan Xu; Lihong Ren; Kuangrong Hao (IEEE Trans. Control. Syst. Technol., 2015)

Global Nonlinear Kernel Prediction for Large Data Set With a Particle Swarm-Optimized Interval Support Vector Regression. - Yongsheng Ding; Lijun Cheng; Witold Pedrycz; Kuangrong Hao (IEEE Trans. Neural Networks Learn. Syst., 2015)

An adaptive clustering routing algorithm for energy harvesting-wireless sensor networks. - Xiangfei Zhang; Yongsheng Ding; Guangshun Yao; Kuangrong Hao (CEC, 2016)

Mechanical Modeling with Particle Swarm Optimization Algorithm for Braided Bicomponent Ureteral Stent. - Xiaoyan Liu; Feng Li; Yongsheng Ding; Lu Wang; Kuangrong Hao (GECCO (Companion), 2016)

A rule-driven multi-path routing algorithm with dynamic immune clustering for event-driven wireless sensor networks. - Yongsheng Ding; Rui Chen; Kuangrong Hao (Neurocomputing, 2016)

Adaptive feedback synchronisation of complex dynamical network with discrete-time communications and delayed nodes. - Tong Wang 013; Yongsheng Ding; Lei Zhang; Kuangrong Hao (Int. J. Syst. Sci., 2016)

Immune-inspired self-adaptive collaborative control allocation for multi-level stretching processes. - Yongsheng Ding; Tao Zhang 082; Lihong Ren; Yaochu Jin; Kuangrong Hao; Lei Chen 064 (Inf. Sci., 2016)

An immune system-inspired rescheduling algorithm for workflow in Cloud systems. - Guangshun Yao; Yongsheng Ding; Lihong Ren; Kuangrong Hao; Lei Chen 064 (Knowl. Based Syst., 2016)

An Immune System-Inspired Reconfigurable Controller. - Yongsheng Ding; Nan Xu; Shengfang Dai; Lihong Ren; Kuangrong Hao; Biao Huang 001 (IEEE Trans. Control. Syst. Technol., 2016)

A new multilayer LSTM method of reconstruction for compressed sensing in acquiring human pressure data. - Tao Han; Kuangrong Hao; Yongsheng Ding; Xue-Song Tang (ASCC, 2017)

Using gated recurrence units neural network for prediction of melt spinning properties. - Ruimin Xie; Yongsheng Ding; Kuangrong Hao; Lei Chen 064; Tong Wang 013 (ASCC, 2017)

A prediction method using extreme learning machine with immune optimization. - Jinxi Zhang; Yongsheng Ding; Kuangrong Hao; Lei Chen 064; Lihong Ren (ASCC, 2017)

Multi-State Self-Learning Template Library Updating Approach for Multi-Camera Human Tracking in Complex Scenes. - Jian Liu; Kuangrong Hao; Yongsheng Ding; Shiyu Yang; Lei Gao 002 (Int. J. Pattern Recognit. Artif. Intell., 2017)

Fault-tolerant elastic scheduling algorithm for workflow in Cloud systems. - Yongsheng Ding; Guangshun Yao; Kuangrong Hao (Inf. Sci., 2017)

A multi-objective approach to robust optimization over time considering switching cost. - Yuanjun Huang; Yongsheng Ding; Kuangrong Hao; Yaochu Jin (Inf. Sci., 2017)

Abdominal-Deformation Measurement for a Shape-Flexible Mannequin Using the 3D Digital Image Correlation. - Huan Liu; Kuangrong Hao; Yongsheng Ding (J. Comput. Sci. Eng., 2017)

Using line segments to train multi-stream stacked autoencoders for image classification. - Xue-Song Tang; Kuangrong Hao; Hui Wei 001; Yongsheng Ding (Pattern Recognit. Lett., 2017)

Endocrine-based coevolutionary multi-swarm for multi-objective workflow scheduling in a cloud system. - Guangshun Yao; Yongsheng Ding; Yaochu Jin; Kuangrong Hao (Soft Comput., 2017)

An improved immune system-inspired routing recovery scheme for energy harvesting wireless sensor networks. - Xiangfei Zhang; Guangshun Yao; Yongsheng Ding; Kuangrong Hao (Soft Comput., 2017)

Using Imbalance Characteristic for Fault-Tolerant Workflow Scheduling in Cloud Systems. - Guangshun Yao; Yongsheng Ding; Kuangrong Hao (IEEE Trans. Parallel Distributed Syst., 2017)

An Affection-Based Dynamic Leader Selection Model for Formation Control in Multirobot Systems. - Feng Li; Yongsheng Ding; Mengchu Zhou; Kuangrong Hao; Lei Chen 064 (IEEE Trans. Syst. Man Cybern. Syst., 2017)

A sparse autoencoder compressed sensing method for acquiring the pressure array information of clothing. - Tao Han; Kuangrong Hao; Yongsheng Ding; Xue-Song Tang (Neurocomputing, 2018)

A new image classification model based on brain parallel interaction mechanism. - Yingchao Yu; Kuangrong Hao; Yongsheng Ding (Neurocomputing, 2018)

A Novel Method Based on Line-Segment Visualizations for Hyper-Parameter Optimization in Deep Networks. - Xue-Song Tang; Yongsheng Ding; Kuangrong Hao (Int. J. Pattern Recognit. Artif. Intell., 2018)

Vehicle Driving Direction Control Based on Compressed Network. - Shiyu Yang; Kuangrong Hao; Yongsheng Ding; Jian Liu (Int. J. Pattern Recognit. Artif. Intell., 2018)

An improved reinforcement-immune algorithm for agricultural resource allocation optimization. - Yimin Jiang; Kuangrong Hao; Xin Cai; Yongsheng Ding (J. Comput. Sci., 2018)

Improved visual background extractor with adaptive range change. - Shiyu Yang; Kuangrong Hao; Yongsheng Ding; Jian Liu (Memetic Comput., 2018)

Degeneration Recognizing Clonal Selection Algorithm for Multimodal Optimization. - Nan Xu; Yongsheng Ding; Lihong Ren; Kuangrong Hao (IEEE Trans. Cybern., 2018)

Design of Optimal Control System for the Whole Process of Polyester Fiber. - Chunli Jiang; Kuangrong Hao; Lei Chen 064; Xin Cai; Lihong Ren (ASCC, 2019)

The multi-objective optimization of esterification process based on improved NSGA-III algorithm. - Xiuli Zhu; Kuangrong Hao; Xue-Song Tang; Tong Wang 013; Yicun Hua; Xiaoyan Liu (ASCC, 2019)

Application of Hybrid Integrated Model Based on Mechanism Model Residuals in Fiber Production Melt Conveying. - Longhao Gong; Kuangrong Hao; Lihong Ren (CAA SAFEPROCESS, 2019)

A Real-Time Anomaly Detection Approach Based on Sparse Distributed Representation. - Weikai Wang; Chenwei Zhao; Kuangrong Hao; Xue-Song Tang; Tong Wang 013 (CAA SAFEPROCESS, 2019)

Using a Vertical-Stream Variational Auto-Encoder to Generate Segment-Based Images and Its Biological Plausibility for Modelling the Visual Pathways. - Xue-Song Tang; Hui Wei 001; Kuangrong Hao (IEEE Access, 2019)

A New Cross Clustering Algorithm for Improving Performance of Supervised Learning. - Wenshuo Zhou; Kuangrong Hao; Chunli Jiang; Lei Chen 064; Xue-Song Tang; Xin Cai (IEEE Access, 2019)

An integrated algorithm for multi-agent fault-tolerant scheduling based on MOEA. - Binghong Wu; Kuangrong Hao; Xin Cai; Tong Wang 013 (Future Gener. Comput. Syst., 2019)

A survey of multi-robot regular and adversarial patrolling. - Li Huang; MengChu Zhou; Kuangrong Hao; Edwin S. H. Hou (IEEE CAA J. Autom. Sinica, 2019)

Echo state networks regulated by local intrinsic plasticity rules for regression. - Xinjie Wang 002; Yaochu Jin; Kuangrong Hao (Neurocomputing, 2019)

An adaptive immune algorithm for service-oriented agricultural Internet of Things. - Zhen Yang 023; Yongsheng Ding; Kuangrong Hao; Xin Cai (Neurocomputing, 2019)

Immune intelligent online modeling for the stretching process of fiber. - Lei Chen 064; Yongsheng Ding; Kuangrong Hao (Inf. Sci., 2019)

A hierarchical memory network-based approach to uncertain streaming data. - Weikai Wang; Kirubakaran Velswamy; Kuangrong Hao; Lei Chen 064; Witold Pedrycz (Knowl. Based Syst., 2019)

A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts. - Yicun Hua; Yaochu Jin; Kuangrong Hao (IEEE Trans. Cybern., 2019)

A Bio-Inspired Self-Learning Coevolutionary Dynamic Multiobjective Optimization Algorithm for Internet of Things Services. - Zhen Yang 023; Yaochu Jin; Kuangrong Hao (IEEE Trans. Evol. Comput., 2019)

A Gated Recurrent Unit based Echo State Network. - Xinjie Wang 002; Yaochu Jin; Kuangrong Hao (IJCNN, 2020)

A Novel Similarity Measurement and Clustering Framework for Time Series Based on Convolution Neural Networks. - Xin Ding; Kuangrong Hao; Xin Cai; Xue-Song Tang; Lei Chen 064; Haichao Zhang (IEEE Access, 2020)

Hybrid kernel approach to Gaussian process modeling with colored noises. - Zhenxing Li; Fan Guo 002; Lei Chen 064; Kuangrong Hao; Biao Huang 001 (Comput. Chem. Eng., 2020)

Sampled Training and Node Inheritance for Fast Evolutionary Neural Architecture Search. - Haoyu Zhang; Yaochu Jin; Ran Cheng; Kuangrong Hao (CoRR, 2020)

Integrating pixels and segments: A deep-learning method inspired by the informational diversity of the visual pathways. - Xue-Song Tang; Hui Wei 001; Kuangrong Hao; Mingbo Zhao; Dawei Li 001 (Neurocomputing, 2020)

A biologically inspired visual integrated model for image classification. - Bing Wei; Kuangrong Hao; Lei Gao 002; Xue-Song Tang; Yudi Zhao (Neurocomputing, 2020)

A visual long-short-term memory based integrated CNN model for fabric defect image classification. - Yudi Zhao; Kuangrong Hao; Haibo He; Xue-Song Tang; Bing Wei (Neurocomputing, 2020)

Detecting textile micro-defects: A novel and efficient method based on visual gain mechanism. - Bing Wei; Kuangrong Hao; Lei Gao 002; Xue-Song Tang (Inf. Sci., 2020)

Decision-making and multi-objectivization for cost sensitive robust optimization over time. - Yuanjun Huang; Yaochu Jin; Kuangrong Hao (Knowl. Based Syst., 2020)

A multi-feature fusion model for Chinese relation extraction with entity sense. - Jiangying Zhang; Kuangrong Hao; Xue-Song Tang; Xin Cai; Yan Xiao; Tong Wang 013 (Knowl. Based Syst., 2020)

Visual interaction networks: A novel bio-inspired computational model for image classification. - Bing Wei; Haibo He; Kuangrong Hao; Lei Gao 002; Xue-Song Tang (Neural Networks, 2020)

Immune-Endocrine System Inspired Hierarchical Coevolutionary Multiobjective Optimization Algorithm for IoT Service. - Zhen Yang 023; Yongsheng Ding; Yaochu Jin; Kuangrong Hao (IEEE Trans. Cybern., 2020)

Data-Driven Modeling Based on Two-Stream ${ rm{ lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application. - Ruimin Xie; Kuangrong Hao; Biao Huang 001; Lei Chen 064; Xin Cai (IEEE Trans. Ind. Electron., 2020)

Supervised Variational Autoencoders for Soft Sensor Modeling With Missing Data. - Ruimin Xie; Nabil Magbool Jan; Kuangrong Hao; Lei Chen 064; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2020)

Non-Dominated Immune-Endocrine Short Feedback Algorithm for Multi-Robot Maritime Patrolling. - Li Huang; MengChu Zhou; Kuangrong Hao (IEEE Trans. Intell. Transp. Syst., 2020)

Evolving Local Plasticity Rules for Synergistic Learning in Echo State Networks. - Xinjie Wang 002; Yaochu Jin; Kuangrong Hao (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Self-Learning Immune Co-Evolutionary Network for Multiple Escaping Targets Search With Random Observable Conditions. - Chenwei Zhao; Feng Li; Kuangrong Hao; Lihong Ren; Tong Wang 013 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Multiple-Solution Optimization Strategy for Multirobot Task Allocation. - Li Huang; Yongsheng Ding; MengChu Zhou; Yaochu Jin; Kuangrong Hao (IEEE Trans. Syst. Man Cybern. Syst., 2020)

A Chinese Dataset Building Method Based on Data Hierarchy and Balance Analysis in Knowledge Graph Completion. - Yunwei Shi; Kuangrong Hao; Xue-Song Tang; Tong Wang 013 (BIC-TA (2), 2021)

Solder Joint Defect Detection Based on Depth Image CNN for 3D Shape Classification. - Zifan Shao; Kuangrong Hao; Bing Wei; Xue-Song Tang (CAA SAFEPROCESS, 2021)

An improved moth-flame optimization algorithm based on fusion mechanism. - Luchao Jiang; Kuangrong Hao; Xue-Song Tang; Tong Wang 013; Xiaoyan Liu (IECON, 2021)

MLMA-Net: multi-level multi-attentional learning for multi-label object detection in textile defect images. - Bing Wei; Kuangrong Hao; Lei Gao 002 (CoRR, 2021)

Visual Sensation and Perception Computational Models for Deep Learning: State of the art, Challenges and Prospects. - Bing Wei; Yudi Zhao; Kuangrong Hao; Lei Gao 002 (CoRR, 2021)

A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts. - Yicun Hua; Qiqi Liu; Kuangrong Hao; Yaochu Jin (IEEE CAA J. Autom. Sinica, 2021)

Synergies between synaptic and intrinsic plasticity in echo state networks. - Xinjie Wang 002; Yaochu Jin; Kuangrong Hao (Neurocomputing, 2021)

Soft sensor based on eXtreme gradient boosting and bidirectional converted gates long short-term memory self-attention network. - Xiuli Zhu; Kuangrong Hao; Ruimin Xie; Biao Huang 001 (Neurocomputing, 2021)

A novel hybrid particle swarm optimization using adaptive strategy. - Rui Wang; Kuangrong Hao; Lei Chen 064; Tong Wang 013; Chunli Jiang (Inf. Sci., 2021)

Identification of Gaussian process with switching noise mode and missing data. - Wentao Bai; Fan Guo 002; Lei Chen 064; Kuangrong Hao; Biao Huang 001 (J. Frankl. Inst., 2021)

A conditional variational autoencoder based self-transferred algorithm for imbalanced classification. - Yudi Zhao; Kuangrong Hao; Xue-Song Tang; Lei Chen 064; Bing Wei (Knowl. Based Syst., 2021)

Bioinspired Visual-Integrated Model for Multilabel Classification of Textile Defect Images. - Bing Wei; Kuangrong Hao; Lei Gao 002; Xue-Song Tang (IEEE Trans. Cogn. Dev. Syst., 2021)

Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance. - Haoyu Zhang; Yaochu Jin; Ran Cheng; Kuangrong Hao (IEEE Trans. Evol. Comput., 2021)

Service Optimization of Production Process of Polyester Fiber Based on Immune and Endocrine Regulation Algorithm. - Chunli Jiang; Kuangrong Hao; Witold Pedrycz; Lei Chen 064; Xin Cai (IEEE Trans. Ind. Informatics, 2021)

Optimization control method for industrial Internet of Things based on biological adaptive coevolutionary. - Chunli Jiang; Kuangrong Hao; Witold Pedrycz; Lei Chen 064; Xin Cai (Wirel. Networks, 2021)

A multi branch feature learning approach for fine-grained visual recognition. - Xin Hu; Bing Wei; Kuangrong Hao; Xiaoyan Liu; Tao Han; Hengqian Wang (ACAI, 2022)

Part-GCNet: Partitioning Graph Convolutional Network for Multi-Label Recognition. - Yuan Zhang 023; Tao Han; Bing Wei; Kuangrong Hao (ACAI, 2022)

An efficient solder joint defects method for 3D point clouds with double-flow region attention network. - Qiming Hu; Kuangrong Hao; Bing Wei; Haijian Li (Adv. Eng. Informatics, 2022)

Multivariate time series prediction of complex systems based on graph neural networks with location embedding graph structure learning. - Xun Shi; Kuangrong Hao; Lei Chen 064; Bing Wei; Xiaoyan Liu (Adv. Eng. Informatics, 2022)

Vision Transformer with Convolutions Architecture Search. - Haichao Zhang; Kuangrong Hao; Witold Pedrycz; Lei Gao 002; Xue-Song Tang; Bing Wei (CoRR, 2022)

Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification. - Yudi Zhao; Kuangrong Hao; Chaochen Gu; Bing Wei (CoRR, 2022)

Multi-Objective Evolutionary for Object Detection Mobile Architectures Search. - Haichao Zhang; Jiashi Li; Xin Xia 014; Kuangrong Hao; Xuefeng Xiao 001 (CoRR, 2022)

A dynamic soft sensor of industrial fuzzy time series with propositional linear temporal logic. - Xu Huo; Kuangrong Hao; Lei Chen 064; Xue-Song Tang; Tong Wang 013; Xin Cai (Expert Syst. Appl., 2022)

A reliable solder joint inspection method based on a light-weight point cloud network and modulated loss. - Haijian Li; Kuangrong Hao; Bing Wei; Xue-Song Tang; Qiming Hu (Neurocomputing, 2022)

Hybrid attention-based transformer block model for distant supervision relation extraction. - Yan Xiao; Yaochu Jin; Ran Cheng; Kuangrong Hao (Neurocomputing, 2022)

Improved Exploration-Enhanced Gray Wolf Optimizer for a Mechanical Model of Braided Bicomponent Ureteral Stents. - Zhikai Sun; Xiaoyan Liu; Lihong Ren; Kuangrong Hao (Int. J. Pattern Recognit. Artif. Intell., 2022)

A line-segment-based non-maximum suppression method for accurate object detection. - Xue-Song Tang; Xianlin Xie; Kuangrong Hao; Dawei Li 001; Mingbo Zhao (Knowl. Based Syst., 2022)

DB-NMS: improving non-maximum suppression with density-based clustering. - Li Rui; Xue-Song Tang; Kuangrong Hao (Neural Comput. Appl., 2022)

Boosting the transferability of adversarial examples via stochastic serial attack. - Lingguang Hao; Kuangrong Hao; Bing Wei; Xue-Song Tang (Neural Networks, 2022)

A Compressed Sensing Network for Acquiring Human Pressure Information. - Tao Han; Kuangrong Hao; Xue-Song Tang; Xin Cai; Tong Wang 013; Xiaoyan Liu (IEEE Trans. Cogn. Dev. Syst., 2022)

Computational Modeling of Structural Synaptic Plasticity in Echo State Networks. - Xinjie Wang 002; Yaochu Jin; Kuangrong Hao (IEEE Trans. Cybern., 2022)

Evolutionary Search for Complete Neural Network Architectures With Partial Weight Sharing. - Haoyu Zhang; Yaochu Jin; Kuangrong Hao (IEEE Trans. Evol. Comput., 2022)

Parallel Interaction Spatiotemporal Constrained Variational Autoencoder for Soft Sensor Modeling. - Xiuli Zhu; Seshu Kumar Damarla; Kuangrong Hao; Biao Huang 001 (IEEE Trans. Ind. Informatics, 2022)

Remix: Towards the transferability of adversarial examples. - Hongzhi Zhao; Lingguang Hao; Kuangrong Hao; Bing Wei; Xin Cai (Neural Networks, 2023)

ConvLSTM and Self-Attention Aided Canonical Correlation Analysis for Multioutput Soft Sensor Modeling. - Xiuli Zhu; Seshu Kumar Damarla; Kuangrong Hao; Biao Huang 001; Hongtian Chen; Yicun Hua (IEEE Trans. Instrum. Meas., 2023)

Adaptive niching particle swarm optimization with local search for multimodal optimization. - Rui Wang; Kuangrong Hao; Biao Huang 001; Xiuli Zhu (Appl. Soft Comput., 2023)

Optimizing Deep Neural Networks Through Neuroevolution With Stochastic Gradient Descent. - Haichao Zhang; Kuangrong Hao; Lei Gao 002; Bing Wei; Xue-Song Tang (IEEE Trans. Cogn. Dev. Syst., 2023)

Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification. - Yan Xiao; Yaochu Jin; Kuangrong Hao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multirobot Cooperative Patrolling Strategy for Moving Objects. - Li Huang; Mengchu Zhou; Kuangrong Hao; Hua Han 002 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Variational Bayesian Inference for Robust Identification of PWARX Systems With Time-Varying Time-Delays. - Wentao Bai; Fan Guo 002; Lei Chen 064; Kuangrong Hao; Biao Huang 001 (IEEE Trans. Cybern., 2023)

A bio-inspired positional embedding network for transformer-based models. - Xue-Song Tang; Kuangrong Hao; Hui Wei 001 (Neural Networks, 2023)

Domain adversarial-based multi-source deep transfer network for cross-production-line time series forecasting. - Lei Chen 064; Chuang Peng; Chen Yang; Huiyuan Peng; Kuangrong Hao (Appl. Intell., 2023)

Optimized compressed sensing for communication efficient federated learning. - Leming Wu; Yaochu Jin; Kuangrong Hao (Knowl. Based Syst., 2023)

Identification of Errors-in-Variable System With Heteroscedastic Noise and Partially Known Input Using Variational Bayesian. - Jinxi Zhang; Fan Guo 002; Kuangrong Hao; Biao Huang 001; Lei Chen 064 (IEEE Trans. Ind. Informatics, 2023)

High-dimensional interactive adaptive RVEA for multi-objective optimization of polyester polymerization process. - Xiuli Zhu; Chunli Jiang; Kuangrong Hao; Rui Wang (Inf. Sci., 2023)

IDC: Boost Text-to-image Retrieval via Indirect and Direct Connections. - Guowei Ge; Kuangrong Hao; Lingguang Hao (LREC/COLING, 2024)

Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast. - Yan Xiao; Yaochu Jin; Kuangrong Hao (LREC/COLING, 2024)

A Novel Adaptive LSTM Model for Polyester Oligomer Density Prediction. - Yufan Wu; Ruimin Xie; Kuangrong Hao; Lihong Ren; Feifei Li; Tong Liu (ICIT, 2024)

Skeleton-Based Point Cloud Sampling and Its Facilitation to Classification. - Yugang Guo; Xue-Song Tang; Kuangrong Hao (NCAA (1), 2024)

Causal inference of multivariate time series in complex industrial systems. - Xiaoxue Liang; Kuangrong Hao; Lei Chen 064; Xin Cai; Lingguang Hao (Adv. Eng. Informatics, 2024)

Show, tell and rectify: Boost image caption generation via an output rectifier. - Guowei Ge; Yufeng Han; Lingguang Hao; Kuangrong Hao; Bing Wei; Xue-Song Tang (Neurocomputing, 2024)

A hypothetical defenses-based training framework for generating transferable adversarial examples. - Lingguang Hao; Kuangrong Hao; Yaochu Jin; Hongzhi Zhao (Knowl. Based Syst., 2024)

FL-OTCSEnc: Towards secure federated learning with deep compressed sensing. - Leming Wu; Yaochu Jin; Yuping Yan; Kuangrong Hao (Knowl. Based Syst., 2024)

MS-FTSCNN: An EEG emotion recognition method from the combination of multi-domain features. - Feifei Li; Kuangrong Hao; Bing Wei; Lingguang Hao; Lihong Ren (Biomed. Signal Process. Control., 2024)

Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process. - Ruimin Xie; Yuxiang Liu; Xiwen He; Nabil Magbool Jan; Huaping Wang; Kuangrong Hao; Biao Huang 001 (Comput. Chem. Eng., 2024)

A modified hybrid particle swarm optimization based on comprehensive learning and dynamic multi-swarm strategy. - Rui Wang; Kuangrong Hao; Lei Chen 064; Xiaoyan Liu; Xiuli Zhu; Chenwei Zhao (Soft Comput., 2024)

Enhanced Gradient for Differentiable Architecture Search. - Haichao Zhang; Kuangrong Hao; Lei Gao 002; Xue-Song Tang; Bing Wei (IEEE Trans. Neural Networks Learn. Syst., 2024)

CTF-Net: Partial Focus Searching within Holistic Structure for Fine-Grained Object Recognition. - Jintao Li; Bing Wei; Kuangrong Hao; Lei Gao 002; Lei Chen 064; Xiaoyan Liu (Int. J. Pattern Recognit. Artif. Intell., 2024)

Adaptive Dual-path Spatial-Frequency Network for medical microstructure segmentation. - Qihang Xie; Kuangrong Hao; Bing Wei; He Ding; Yumei Zhang; Lihong Ren; Fei Yang (Expert Syst. Appl., 2025)

Adaptive multilevel regression integration with error compensation for online soft sensing of data streams. - Guomin Wu; Lei Chen 064; Hengqian Wang; Chuang Peng; Kuangrong Hao (Neurocomputing, 2025)

Grid Mamba:Grid State Space Model for large-scale point cloud analysis. - Yulong Yang; Tianzhou Xun; Kuangrong Hao; Bing Wei; Xue-Song Tang (Neurocomputing, 2025)

Novel dynamic data-driven modeling based on feature enhancement with derivative memory LSTM for complex industrial process. - Xiuli Zhu; Jiajun Xu; Zixuan Fu; Seshu Kumar Damarla; Peng Wang; Kuangrong Hao (Neurocomputing, 2025)

A novel self-training framework for semi-supervised soft sensor modeling based on indeterminate variational autoencoder. - Hengqian Wang; Lei Chen 064; Kuangrong Hao; Xin Cai; Bing Wei (Inf. Sci., 2025)

Bio-inspired deep neural local acuity and focus learning for visual image recognition. - Langping He; Bing Wei; Kuangrong Hao; Lei Gao 002; Chuang Peng (Neural Networks, 2025)

GEXMERT: Geometrically enhanced cross-modality encoder representations from transformers inspired by higher-order visual percepts. - Feiyang Chen; Xue-Song Tang; Kuangrong Hao (Pattern Recognit., 2025)

From visual features to key concepts: A Dynamic and Static Concept-driven approach for video captioning. - Xin Ren; Yufeng Han; Bing Wei; Xue-Song Tang; Kuangrong Hao (Pattern Recognit. Lett., 2025)

Dynamic ensemble fault diagnosis framework with adaptive hierarchical sampling strategy for industrial imbalanced and overlapping data. - Haoyan Dong; Chuang Peng; Lei Chen 064; Kuangrong Hao (Reliab. Eng. Syst. Saf., 2025)

A Multisource Signal-Conditioned Fiber Optic Sensing System for Microwave Temperature Acquisition and Prediction. - Chenyang Meng; Kuangrong Hao; Yan Cheng; Jinhai Xu; Xiuli Zhu (IEEE Trans. Instrum. Meas., 2025)

Adaptive knowledge graph for multi-label image classification. - Zhihong Lin; Xue-Song Tang; Kuangrong Hao; Mingbo Zhao; Yubing Li (Appl. Intell., 2025)

GFPE-ViT: vision transformer with geometric-fractal-based position encoding. - Lei Wang; Xue-Song Tang; Kuangrong Hao (Vis. Comput., 2025)

Multi-Target Federated Backdoor Attack Based on Feature Aggregation. - Lingguag Hao; Kuangrong Hao; Bing Wei; Xue-Song Tang (CoRR, 2025)

Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients. - Leming Wu; Yaochu Jin; Kuangrong Hao; Han Yu 001 (CoRR, 2025)

CRMR: A Collaborative Multistep Reasoning Framework for Solving Mathematical Problems. - Yudi Zhang; Xue-Song Tang; Kuangrong Hao (Mach. Intell. Res., 2025)

MaskMatch: uncertainty calibration for dynamic masking in semi-supervised image segmentation. - Aihua Liao; Kuangrong Hao; Bing Wei; Xuesong Tang (Appl. Intell., 2025)

Zero-Shot Relation Classification Through Inference on Category Attributes. - Yan Xiao; Yaochu Jin; Bin Wang 040; Yan Zhang 004; Kuangrong Hao; Haizhou Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification. - Yudi Zhao; Kuangrong Hao; Chaochen Gu; Bing Wei; Xinping Guan (IEEE Trans. Cybern., 2025)