Off-line robust constrained MPC with parameter-dependent feedback law. - Zhiqiang Zou; Lihong Xu; Meng Yuan (ACC, 2006)

Road-Junction Traffic Signal Timing Optimization by an adaptive Particle Swarm Algorithm. - Juan Chen; Lihong Xu (ICARCV, 2006)

Nonlinear System Identification Based on TS-GFNN. - Ruihua Wei; Lihong Xu (ICARCV, 2006)

Two layer iterative multi-objective compatible control algorithm. - Lihong Xu; Qingsong Hu; Erik D. Goodman (CDC, 2007)

IPGA based multi-objective compatible control algorithm and its application in oversaturated adjacent intersection control. - Juan Chen; Lihong Xu; Changliang Yuan (IEEE Congress on Evolutionary Computation, 2007)

A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem. - Lihong Xu; Qingsong Hu; Erik D. Goodman (IEEE Congress on Evolutionary Computation, 2007)

Oversaturated adjacent intersections control based on multi-Objective compatible control algorithm. - Juan Chen; Lihong Xu; Xiaoguang Yang; Changliang Yuan (ITSC, 2007)

A Hierarchy Control Algorithm and its application in Urban Arterial Control Problem. - Juan Chen; Lihong Xu; Xiaoguang Yang; Changliang Yuan (ITSC, 2007)

An improved quadric error metrics based on feature matrix. - Lihong Xu; Weihai Chen; Jingmeng Liu; Tao Lv (RAM, 2008)

Non-even spread NSGA-II and its application to conflicting multi-objective compatible control. - Qingsong Hu; Lihong Xu; Erik D. Goodman (GEC Summit, 2009)

Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II. - Qingsong Hu; Lihong Xu; Erik D. Goodman (GECCO, 2009)

Model-based compromise control of greenhouse climate using pareto optimization. - Haigen Hu; Lihong Xu; Qingsong Hu (GEC Summit, 2009)

Global path planning for mobile robot based genetic algorithm and modified simulated annealing algorithm. - Yuming Liang; Lihong Xu (GEC Summit, 2009)

Mobile robot global path planning using hybrid modified simulated annealing optimization algorithm. - Yuming Liang; Lihong Xu (GEC Summit, 2009)

Energy-saving control of greenhouse climate based on MOCC strategy. - Lihong Xu; Haigen Hu; Bingkun Zhu (GEC Summit, 2009)

An improved MOCC with feedback control structure based on preference. - Lihong Xu; Bingkun Zhu; Erik D. Goodman (GEC Summit, 2009)

A framework for modeling steady turning of robotic fish. - Qingsong Hu; Dawn R. Hedgepeth; Lihong Xu; Xiaobo Tan (ICRA, 2009)

Adaptive Paralleled DMC-PID Controller Design on System with Uncertainties. - Ruihua Wei; Lihong Xu (ISDA, 2009)

Shanghai chapter report [family corner]. - Lihong Xu (IEEE Comput. Intell. Mag., 2009)

Multi-objective tuning of nonlinear PID controllers for greenhouse environment using Evolutionary Algorithms. - Haigen Hu; Lihong Xu; Ruihua Wei; Bingkun Zhu (IEEE Congress on Evolutionary Computation, 2010)

A control optimization algorithm for greenhouse climate control problems. - Haigen Hu; Lihong Xu; Erik D. Goodman (GECCO (Companion), 2010)

Online background learning for illumination-robust foreground detection. - Dawei Li 001; Lihong Xu; Erik D. Goodman (ICARCV, 2010)

MOGA application feasibility research on ocean petroleum exploration platform seawater environment supervision. - Qingsong Hu; Lihong Xu; Xuan Liu (ICNC, 2010)

Nonlinear adaptive Neuro-PID controller design for greenhouse environment based on RBF network. - Haigen Hu; Lihong Xu; Ruihua Wei (IJCNN, 2010)

Adaptive fuzzy control for trajectory tracking of Mobile Robot. - Yuming Liang; Lihong Xu; Ruihua Wei; Haigen Hu (IROS, 2010)

Pedestrian detection using background subtraction assisted Support Vector Machine. - Yuan Xu; Lihong Xu; Dawei Li 001; Yang Wu (ISDA, 2011)

Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms. - Haigen Hu; Lihong Xu; Ruihua Wei; Bingkun Zhu (Sensors, 2011)

A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy. - Haigen Hu; Lihong Xu; Bingkun Zhu; Ruihua Wei (Sensors, 2011)

Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations. - Dawei Li 001; Lihong Xu; Erik D. Goodman (ICMLA (1), 2012)

Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network. - Songwei Zeng; Haigen Hu; Lihong Xu; Guanghui Li (Sensors, 2012)

Integrating a statistical background- foreground extraction algorithm and SVM classifier for pedestrian detection and tracking. - Dawei Li 001; Lihong Xu; Erik D. Goodman; Yuan Xu; Yang Wu (Integr. Comput. Aided Eng., 2013)

Illumination-Robust Foreground Detection in a Video Surveillance System. - Dawei Li 001; Lihong Xu; Erik D. Goodman (IEEE Trans. Circuits Syst. Video Technol., 2013)

Automatic detection and segmentation of stems of potted tomato plant using Kinect. - Daichang Fu; Lihong Xu; Dawei Li 001; Longjiao Xin (ICDIP, 2014)

The 3D reconstruction of greenhouse tomato plant based on real organ samples and parametric L-system. - Longjiao Xin; Lihong Xu; Dawei Li 001; Daichang Fu (ICDIP, 2014)

The model of making a price match based on automatic negotiated price for electronic commerce. - Yong Zhang; Weijun Wang; Lihong Xu; Lulu Zheng (Int. J. Netw. Virtual Organisations, 2014)

On-line EM Variants for Multivariate Normal Mixture Model in Background Learning and Moving Foreground Detection. - Dawei Li 001; Lihong Xu; Erik D. Goodman (J. Math. Imaging Vis., 2014)

NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances. - Haigen Hu; Lihong Xu; Erik D. Goodman; Songwei Zeng (Neural Comput. Appl., 2014)

Design of a RSSI Location System for Greenhouse Environment. - Lihong Xu (Int. J. Distributed Sens. Networks, 2015)

Digitization and Visualization of Greenhouse Tomato Plants in Indoor Environments. - Dawei Li 001; Lihong Xu; Chengxiang Tan; Erik D. Goodman; Daichang Fu; Longjiao Xin (Sensors, 2015)

Text similarity algorithm based on semantic vector space model. - Lihong Xu; Shutao Sun; Qi Wang (ICIS, 2016)

A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems. - Leilei Cao; Lihong Xu; Erik D. Goodman (Comput. Intell. Neurosci., 2016)

A Modified Sparse Representation Method for Facial Expression Recognition. - Wei Wang 033; Lihong Xu (Comput. Intell. Neurosci., 2016)

Adaptive Fuzzy Control of a Class of MIMO Nonlinear System With Actuator Saturation for Greenhouse Climate Control Problem. - Yuanping Su; Lihong Xu; Dawei Li 001 (IEEE Trans Autom. Sci. Eng., 2016)

Generalization of Pareto-Optimality for Many-Objective Evolutionary Optimization. - Chenwen Zhu; Lihong Xu; Erik D. Goodman (IEEE Trans. Evol. Comput., 2016)

A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization. - Leilei Cao; Lihong Xu; Erik D. Goodman; Hui Li 020 (SEAL, 2017)

A novel non-dominated sorting algorithm for evolutionary multi-objective optimization. - Chunteng Bao; Lihong Xu; Erik D. Goodman; Leilei Cao (J. Comput. Sci., 2017)

3D Imaging of Greenhouse Plants with an Inexpensive Binocular Stereo Vision System. - Dawei Li 001; Lihong Xu; Xue-Song Tang; Shaoyuan Sun; Xin Cai; Peng Zhang (Remote. Sens., 2017)

A differential prediction model for evolutionary dynamic multiobjective optimization. - Leilei Cao; Lihong Xu; Erik D. Goodman; Shuwei Zhu; Hui Li 020 (GECCO, 2018)

Improving greenhouse environmental control using crop-model-driven multi-objective optimization. - José R. Llera; Erik D. Goodman; Erik S. Runkle; Lihong Xu (GECCO (Companion), 2018)

A study of automatic clustering based on evolutionary many-objective optimization. - Shuwei Zhu; Lihong Xu; Leilei Cao (GECCO (Companion), 2018)

Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization. - José R. Llera; Kalyanmoy Deb; Erik S. Runkle; Lihong Xu; Erik D. Goodman (SSCI, 2018)

Many-objective fuzzy centroids clustering algorithm for categorical data. - Shuwei Zhu; Lihong Xu (Expert Syst. Appl., 2018)

The augmented complex-valued extreme learning machine. - Huisheng Zhang; Yuanyuan Wang; Dongpo Xu; Jing Wang; Lihong Xu (Neurocomputing, 2018)

Control allocation-based adaptive control for greenhouse climate. - Yuanping Su; Lihong Xu; Erik D. Goodman (Int. J. Syst. Sci., 2018)

A neighbor-based learning particle swarm optimizer with short-term and long-term memory for dynamic optimization problems. - Leilei Cao; Lihong Xu; Erik D. Goodman (Inf. Sci., 2018)

Decomposition-based evolutionary dynamic multiobjective optimization using a difference model. - Leilei Cao; Lihong Xu; Erik D. Goodman; Hui Li 020 (Appl. Soft Comput., 2019)

A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization. - Chunteng Bao; Lihong Xu; Erik D. Goodman (Expert Syst. Appl., 2019)

A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments. - Leilei Cao; Lihong Xu; Erik D. Goodman (Expert Syst. Appl., 2019)

A novel two-archive matching-based algorithm for multi- and many-objective optimization. - Chunteng Bao; Lihong Xu; Erik D. Goodman (Inf. Sci., 2019)

A collaboration-based particle swarm optimizer for global optimization problems. - Leilei Cao; Lihong Xu; Erik D. Goodman (Int. J. Mach. Learn. Cybern., 2019)

Pruning of Network Filters for Small Dataset. - Zhuang Li; Lihong Xu; Shuwei Zhu (IEEE Access, 2020)

Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy. - Shuwei Zhu; Lihong Xu; Erik D. Goodman (Knowl. Based Syst., 2020)

Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor. - Leilei Cao; Lihong Xu; Erik D. Goodman; Chunteng Bao; Shuwei Zhu (IEEE Trans. Evol. Comput., 2020)

The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Kalyanmoy Deb; Zhichao Lu (EMO, 2021)

Greenhouse Climate Setpoint Optimization: An Online Decision Strategy. - Yuanping Su; Lihong Xu (IEEE Access, 2021)

Optimal Stochastic Process Optimizer: A New Metaheuristic Algorithm With Adaptive Exploration-Exploitation Property. - Jiahong Xu; Lihong Xu (IEEE Access, 2021)

Tomato Leaf Disease Identification and Detection Based on Deep Convolutional Neural Network. - Yang Wu; Lihong Xu; Erik D. Goodman (Intell. Autom. Soft Comput., 2021)

Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method. - Yuanping Su; Lihong Xu; Erik D. Goodman (IEEE Trans. Cybern., 2022)

Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering. - Shuwei Zhu; Lihong Xu; Erik D. Goodman (IEEE Trans. Cybern., 2022)

A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Zhichao Lu (IEEE Trans. Cybern., 2022)

Surrogate-Assisted Evolutionary Optimization Based on Interpretable Convolution Network. - Wenxiang Jiang 004; Lihong Xu (SMC, 2023)

A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization. - Chunteng Bao; Diju Gao; Wei Gu; Lihong Xu; Erik D. Goodman (Expert Syst. Appl., 2023)

N-GKLS: An NMPC problem generator and a test platform for NMPC solvers. - JiaHong Xu; Lihong Xu (Expert Syst. Appl., 2023)

A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization. - Shuwei Zhu; Lihong Xu; Erik D. Goodman; Kalyanmoy Deb; Zhichao Lu (Nat. Comput., 2023)

Music Feature Recognition and Classification Using a Deep Learning Algorithm. - Lihong Xu; Shenghuan Zhang (Int. J. Comput. Intell. Appl., 2023)

Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering. - Chunteng Bao; Diju Gao; Yi Ding; Lihong Xu; Erik D. Goodman (Knowl. Based Syst., 2023)

UAV-based infrard thermography for the fine highvoltage insulators detection. - Lihong Xu; Xinyu Liu (ICBASE, 2024)

Secure Path Following Control of Autonomous Vehicles Under Actuator Attacks Using Fuzzy Terminal Sliding Mode Control Approach. - Lihong Xu; Chen Wang 112; Hong-Tao Sun; Yitao Shen (IEEE Access, 2024)

A new prediction-based evolutionary dynamic multiobjective optimization algorithm aided by Pareto optimal solution estimation strategy. - Kai Gao 009; Lihong Xu (Appl. Soft Comput., 2024)

End-to-End Instance-Level Human Parsing by Segmenting Persons. - Zhuang Li; Leilei Cao; Hongbin Wang 006; Lihong Xu (IEEE Trans. Multim., 2024)

HFM: A hybrid fusion method for underwater image enhancement. - Shunmin An; Lihong Xu; Zhichao Deng; Huapeng Zhang (Eng. Appl. Artif. Intell., 2024)

Novel strategies based on a gradient boosting regression tree predictor for dynamic multi-objective optimization. - Kai Gao 009; Lihong Xu (Expert Syst. Appl., 2024)

Evolutionary dynamic multiobjective optimization using a Bayesian vector autoregression prediction model. - Kai Gao 009; Wenxiang Jiang 004; Lihong Xu (Eng. Appl. Artif. Intell., 2025)

DNIM: Deep-sea netting intelligent enhancement and exposure monitoring using bio-vision. - Shunmin An; Lihong Xu; Zhichao Deng; Huapeng Zhang (Inf. Fusion, 2025)

Learning generalizable agents via self-supervised exploration. - Baoxian Liang; Lihong Xu; Zhichao Deng (Neural Networks, 2025)

FastUNet: Fast hierarchical multi-patch underwater enhancement network for industrial recirculating aquaculture. - Shunmin An; Lihong Xu; Zhichao Deng (Pattern Recognit., 2025)