Lihong Xu

92 papers A* 1A 3B 5C 8Misc 1Journal 53Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
AUV intelligent perception for underwater surveillance using complete underwater imaging model.
Pattern Recognit.
Shunmin An, Lihong Xu, Linling Wang
2026 J jnl
Deep reinforcement learning for unmanned farming dynamic multi-task allocation problem.
Comput. Electron. Agric.
Baoxian Liang, Lihong Xu, Yu Su, Jianwei Du, Zhichao Deng
2025 J jnl
A novel robust multi-objective evolutionary optimization algorithm based on surviving rate.
Complex Intell. Syst.
Wenxiang Jiang, Kai Gao, Shuwei Zhu, Lihong Xu
2025 — conf
A survey on oriented object detection for aerial power inspection.
BDICN
Lihong Xu, Zhengye Zheng, Xinyu Liu
2025 J jnl
DNIM: Deep-sea netting intelligent enhancement and exposure monitoring using bio-vision.
Inf. Fusion
Shunmin An, Lihong Xu, Zhichao Deng, Huapeng Zhang
2025 J jnl
Evolutionary dynamic multiobjective optimization using a Bayesian vector autoregression prediction model.
Eng. Appl. Artif. Intell.
Kai Gao, Wenxiang Jiang, Lihong Xu
2025 J jnl
FastUNet: Fast hierarchical multi-patch underwater enhancement network for industrial recirculating aquaculture.
Pattern Recognit.
Shunmin An, Lihong Xu, Zhichao Deng
2025 J jnl
Learning generalizable agents via self-supervised exploration.
Neural Networks
Baoxian Liang, Lihong Xu, Zhichao Deng
2025 J jnl
Surrogate-Assisted Evolutionary Optimization Based on Interpretable Convolution Network.
CoRR
Lihong Xu, Wenxiang Jiang
2024 J jnl
A new prediction-based evolutionary dynamic multiobjective optimization algorithm aided by Pareto optimal solution estimation strategy.
Appl. Soft Comput.
Kai Gao, Lihong Xu
2024 J jnl
End-to-End Instance-Level Human Parsing by Segmenting Persons.
IEEE Trans. Multim.
Zhuang Li, Leilei Cao, Hongbin Wang, Lihong Xu
2024 J jnl
HFM: A hybrid fusion method for underwater image enhancement.
Eng. Appl. Artif. Intell.
Shunmin An, Lihong Xu, Zhichao Deng, Huapeng Zhang
2024 J jnl
Novel strategies based on a gradient boosting regression tree predictor for dynamic multi-objective optimization.
Expert Syst. Appl.
Kai Gao, Lihong Xu
2024 J jnl
Secure Path Following Control of Autonomous Vehicles Under Actuator Attacks Using Fuzzy Terminal Sliding Mode Control Approach.
IEEE Access
Lihong Xu, Chen Wang, Hong-Tao Sun, Yitao Shen
2024 — conf
UAV-based infrard thermography for the fine highvoltage insulators detection.
ICBASE
Lihong Xu, Xinyu Liu
2023 J jnl
A general framework for enhancing relaxed Pareto dominance methods in evolutionary many-objective optimization.
Nat. Comput.
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
2023 J jnl
A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization.
Expert Syst. Appl.
Chunteng Bao, Diju Gao, Wei Gu, Lihong Xu, Erik D. Goodman
2023 J jnl
Many-task evolutionary algorithm with adaptive knowledge transfer via density-based clustering.
Knowl. Based Syst.
Chunteng Bao, Diju Gao, Yi Ding, Lihong Xu, Erik D. Goodman
2023 J jnl
Music Feature Recognition and Classification Using a Deep Learning Algorithm.
Int. J. Comput. Intell. Appl.
Lihong Xu, Shenghuan Zhang
2023 J jnl
N-GKLS: An NMPC problem generator and a test platform for NMPC solvers.
Expert Syst. Appl.
Jiahong Xu, Lihong Xu
2023 B conf
Surrogate-Assisted Evolutionary Optimization Based on Interpretable Convolution Network.
SMC
Wenxiang Jiang, Lihong Xu
2022 J jnl
A New Many-Objective Evolutionary Algorithm Based on Generalized Pareto Dominance.
IEEE Trans. Cybern.
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Zhichao Lu
2022 J jnl
Hierarchical Topology-Based Cluster Representation for Scalable Evolutionary Multiobjective Clustering.
IEEE Trans. Cybern.
Shuwei Zhu, Lihong Xu, Erik D. Goodman
2022 J jnl
Hybrid Surrogate-Based Constrained Optimization With a New Constraint-Handling Method.
IEEE Trans. Cybern.
Yuanping Su, Lihong Xu, Erik D. Goodman
2021 J jnl
Greenhouse Climate Setpoint Optimization: An Online Decision Strategy.
IEEE Access
Yuanping Su, Lihong Xu
2021 J jnl
Optimal Stochastic Process Optimizer: A New Metaheuristic Algorithm With Adaptive Exploration-Exploitation Property.
IEEE Access
Jiahong Xu, Lihong Xu
2021 C conf
The (M-1)+1 Framework of Relaxed Pareto Dominance for Evolutionary Many-Objective Optimization.
EMO
Shuwei Zhu, Lihong Xu, Erik D. Goodman, Kalyanmoy Deb, Zhichao Lu
2021 J jnl
Tomato Leaf Disease Identification and Detection Based on Deep Convolutional Neural Network.
Intell. Autom. Soft Comput.
Yang Wu, Lihong Xu, Erik D. Goodman
2020 J jnl
Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor.
IEEE Trans. Evol. Comput.
Leilei Cao, Lihong Xu, Erik D. Goodman, Chunteng Bao, Shuwei Zhu
2020 J jnl
Evolutionary multi-objective automatic clustering enhanced with quality metrics and ensemble strategy.
Knowl. Based Syst.
Shuwei Zhu, Lihong Xu, Erik D. Goodman
2020 J jnl
Pruning of Network Filters for Small Dataset.
IEEE Access
Zhuang Li, Lihong Xu, Shuwei Zhu
2019 J jnl
A collaboration-based particle swarm optimizer for global optimization problems.
Int. J. Mach. Learn. Cybern.
Leilei Cao, Lihong Xu, Erik D. Goodman
2019 J jnl
A collaboration-based particle swarm optimizer with history-guided estimation for optimization in dynamic environments.
Expert Syst. Appl.
Leilei Cao, Lihong Xu, Erik D. Goodman
2019 J jnl
A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization.
Expert Syst. Appl.
Chunteng Bao, Lihong Xu, Erik D. Goodman
2019 J jnl
A novel two-archive matching-based algorithm for multi- and many-objective optimization.
Inf. Sci.
Chunteng Bao, Lihong Xu, Erik D. Goodman
2019 J jnl
Decomposition-based evolutionary dynamic multiobjective optimization using a difference model.
Appl. Soft Comput.
Leilei Cao, Lihong Xu, Erik D. Goodman, Hui Li
2018 A conf
A differential prediction model for evolutionary dynamic multiobjective optimization.
GECCO
Leilei Cao, Lihong Xu, Erik D. Goodman, Shuwei Zhu, Hui Li
2018 J jnl
A neighbor-based learning particle swarm optimizer with short-term and long-term memory for dynamic optimization problems.
Inf. Sci.
Leilei Cao, Lihong Xu, Erik D. Goodman
2018 — conf
A study of automatic clustering based on evolutionary many-objective optimization.
GECCO (Companion)
Shuwei Zhu, Lihong Xu, Leilei Cao
2018 J jnl
Control allocation-based adaptive control for greenhouse climate.
Int. J. Syst. Sci.
Yuanping Su, Lihong Xu, Erik D. Goodman
2018 — conf
Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization.
SSCI
José R. Llera, Kalyanmoy Deb, Erik S. Runkle, Lihong Xu, Erik D. Goodman
2018 — conf
Improving greenhouse environmental control using crop-model-driven multi-objective optimization.
GECCO (Companion)
José R. Llera, Erik D. Goodman, Erik S. Runkle, Lihong Xu
2018 J jnl
Many-objective fuzzy centroids clustering algorithm for categorical data.
Expert Syst. Appl.
Shuwei Zhu, Lihong Xu
2018 J jnl
The augmented complex-valued extreme learning machine.
Neurocomputing
Huisheng Zhang, Yuanyuan Wang, Dongpo Xu, Jing Wang, Lihong Xu
2017 J jnl
3D Imaging of Greenhouse Plants with an Inexpensive Binocular Stereo Vision System.
Remote. Sens.
Dawei Li, Lihong Xu, Xue-Song Tang, Shaoyuan Sun, Xin Cai, Peng Zhang
2017 — conf
A First-Order Difference Model-Based Evolutionary Dynamic Multiobjective Optimization.
SEAL
Leilei Cao, Lihong Xu, Erik D. Goodman, Hui Li
2017 J jnl
A novel non-dominated sorting algorithm for evolutionary multi-objective optimization.
J. Comput. Sci.
Chunteng Bao, Lihong Xu, Erik D. Goodman, Leilei Cao
2016 J jnl
A Guiding Evolutionary Algorithm with Greedy Strategy for Global Optimization Problems.
Comput. Intell. Neurosci.
Leilei Cao, Lihong Xu, Erik D. Goodman
2016 J jnl
A Modified Sparse Representation Method for Facial Expression Recognition.
Comput. Intell. Neurosci.
Wei Wang, Lihong Xu
2016 J jnl
Adaptive Fuzzy Control of a Class of MIMO Nonlinear System With Actuator Saturation for Greenhouse Climate Control Problem.
IEEE Trans Autom. Sci. Eng.
Yuanping Su, Lihong Xu, Dawei Li
2016 J jnl
Generalization of Pareto-Optimality for Many-Objective Evolutionary Optimization.
IEEE Trans. Evol. Comput.
Chenwen Zhu, Lihong Xu, Erik D. Goodman
2016 C conf
Text similarity algorithm based on semantic vector space model.
ICIS
Lihong Xu, Shutao Sun, Qi Wang
2015 J jnl
Design of a RSSI Location System for Greenhouse Environment.
Int. J. Distributed Sens. Networks
Lihong Xu
2015 J jnl
Digitization and Visualization of Greenhouse Tomato Plants in Indoor Environments.
Sensors
Dawei Li, Lihong Xu, Chengxiang Tan, Erik D. Goodman, Daichang Fu, Longjiao Xin
2014 — conf
Automatic detection and segmentation of stems of potted tomato plant using Kinect.
ICDIP
Daichang Fu, Lihong Xu, Dawei Li, Longjiao Xin
2014 J jnl
NSGA-II-based nonlinear PID controller tuning of greenhouse climate for reducing costs and improving performances.
Neural Comput. Appl.
Haigen Hu, Lihong Xu, Erik D. Goodman, Songwei Zeng
2014 J jnl
On-line EM Variants for Multivariate Normal Mixture Model in Background Learning and Moving Foreground Detection.
J. Math. Imaging Vis.
Dawei Li, Lihong Xu, Erik D. Goodman
2014 — conf
The 3D reconstruction of greenhouse tomato plant based on real organ samples and parametric L-system.
ICDIP
Longjiao Xin, Lihong Xu, Dawei Li, Daichang Fu
2014 J jnl
The model of making a price match based on automatic negotiated price for electronic commerce.
Int. J. Netw. Virtual Organisations
Yong Zhang, Weijun Wang, Lihong Xu, Lulu Zheng
2013 J jnl
Illumination-Robust Foreground Detection in a Video Surveillance System.
IEEE Trans. Circuits Syst. Video Technol.
Dawei Li, Lihong Xu, Erik D. Goodman
2013 J jnl
Integrating a statistical background- foreground extraction algorithm and SVM classifier for pedestrian detection and tracking.
Integr. Comput. Aided Eng.
Dawei Li, Lihong Xu, Erik D. Goodman, Yuan Xu, Yang Wu
2012 J jnl
Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network.
Sensors
Songwei Zeng, Haigen Hu, Lihong Xu, Guanghui Li
2012 — conf
Real-Time Statistical Background Learning for Foreground Detection under Unstable Illuminations.
ICMLA (1)
Dawei Li, Lihong Xu, Erik D. Goodman
2011 J jnl
A Compatible Control Algorithm for Greenhouse Environment Control Based on MOCC Strategy.
Sensors
Haigen Hu, Lihong Xu, Bingkun Zhu, Ruihua Wei
2011 J jnl
Multi-Objective Control Optimization for Greenhouse Environment Using Evolutionary Algorithms.
Sensors
Haigen Hu, Lihong Xu, Ruihua Wei, Bingkun Zhu
2011 C conf
Pedestrian detection using background subtraction assisted Support Vector Machine.
ISDA
Yuan Xu, Lihong Xu, Dawei Li, Yang Wu
2010 — conf
A control optimization algorithm for greenhouse climate control problems.
GECCO (Companion)
Haigen Hu, Lihong Xu, Erik D. Goodman
2010 A conf
Adaptive fuzzy control for trajectory tracking of Mobile Robot.
IROS
Yuming Liang, Lihong Xu, Ruihua Wei, Haigen Hu
2010 Misc conf
MOGA application feasibility research on ocean petroleum exploration platform seawater environment supervision.
ICNC
Qingsong Hu, Lihong Xu, Xuan Liu
2010 B conf
Multi-objective tuning of nonlinear PID controllers for greenhouse environment using Evolutionary Algorithms.
IEEE Congress on Evolutionary Computation
Haigen Hu, Lihong Xu, Ruihua Wei, Bingkun Zhu
2010 B conf
Nonlinear adaptive Neuro-PID controller design for greenhouse environment based on RBF network.
IJCNN
Haigen Hu, Lihong Xu, Ruihua Wei
2010 C conf
Online background learning for illumination-robust foreground detection.
ICARCV
Dawei Li, Lihong Xu, Erik D. Goodman
2009 A* conf
A framework for modeling steady turning of robotic fish.
ICRA
Qingsong Hu, Dawn R. Hedgepeth, Lihong Xu, Xiaobo Tan
2009 C conf
Adaptive Paralleled DMC-PID Controller Design on System with Uncertainties.
ISDA
Ruihua Wei, Lihong Xu
2009 — conf
An improved MOCC with feedback control structure based on preference.
GEC Summit
Lihong Xu, Bingkun Zhu, Erik D. Goodman
2009 A conf
Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II.
GECCO
Qingsong Hu, Lihong Xu, Erik D. Goodman
2009 — conf
Energy-saving control of greenhouse climate based on MOCC strategy.
GEC Summit
Lihong Xu, Haigen Hu, Bingkun Zhu
2009 — conf
Global path planning for mobile robot based genetic algorithm and modified simulated annealing algorithm.
GEC Summit
Yuming Liang, Lihong Xu
2009 — conf
Mobile robot global path planning using hybrid modified simulated annealing optimization algorithm.
GEC Summit
Yuming Liang, Lihong Xu
2009 — conf
Model-based compromise control of greenhouse climate using pareto optimization.
GEC Summit
Haigen Hu, Lihong Xu, Qingsong Hu
2009 — conf
Non-even spread NSGA-II and its application to conflicting multi-objective compatible control.
GEC Summit
Qingsong Hu, Lihong Xu, Erik D. Goodman
2009 — ed.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, GEC Summit 2009, Shanghai, China, June 12-14, 2009
GEC Summit
Lihong Xu, Erik D. Goodman, Guoliang Chen, L. Darrell Whitley, Yongsheng Ding
2009 J jnl
Shanghai chapter report [family corner].
IEEE Comput. Intell. Mag.
Lihong Xu
2008 — conf
An improved quadric error metrics based on feature matrix.
RAM
Lihong Xu, Weihai Chen, Jingmeng Liu, Tao Lv
2007 — conf
A Hierarchy Control Algorithm and its application in Urban Arterial Control Problem.
ITSC
Juan Chen, Lihong Xu, Xiaoguang Yang, Changliang Yuan
2007 B conf
A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem.
IEEE Congress on Evolutionary Computation
Lihong Xu, Qingsong Hu, Erik D. Goodman
2007 B conf
IPGA based multi-objective compatible control algorithm and its application in oversaturated adjacent intersection control.
IEEE Congress on Evolutionary Computation
Juan Chen, Lihong Xu, Changliang Yuan
2007 — conf
Oversaturated adjacent intersections control based on multi-Objective compatible control algorithm.
ITSC
Juan Chen, Lihong Xu, Xiaoguang Yang, Changliang Yuan
2007 — conf
Two layer iterative multi-objective compatible control algorithm.
CDC
Lihong Xu, Qingsong Hu, Erik D. Goodman
2006 C conf
Nonlinear System Identification Based on TS-GFNN.
ICARCV
Ruihua Wei, Lihong Xu
2006 C conf
Off-line robust constrained MPC with parameter-dependent feedback law.
ACC
Zhiqiang Zou, Lihong Xu, Meng Yuan
2006 C conf
Road-Junction Traffic Signal Timing Optimization by an adaptive Particle Swarm Algorithm.
ICARCV
Juan Chen, Lihong Xu