Jinghui Zhong

Orcid: 0000-0003-0113-3430

According to our database1, Jinghui Zhong authored at least 106 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Semantic Linear Genetic Programming for Symbolic Regression.
IEEE Trans. Cybern., February, 2024

Automatic Crowd Navigation Path Planning in Public Scenes Through Multiobjective Differential Evolution.
IEEE Trans. Comput. Soc. Syst., February, 2024

UCGAN: a contrastive learning-based unaligned image translation model with importance reweighting.
J. Electronic Imaging, 2024

2023
Crowd Management Through Optimal Layout of Fences: An Ant Colony Approach Based on Crowd Simulation.
IEEE Trans. Intell. Transp. Syst., September, 2023

An Efficient Federated Genetic Programming Framework for Symbolic Regression.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Knowledge transfer in evolutionary multi-task optimization: A survey.
Appl. Soft Comput., May, 2023

An evolutionary framework for automatic security guards deployment in large public spaces.
Appl. Intell., May, 2023

HAS-EA: a fast parallel surrogate-assisted evolutionary algorithm.
Memetic Comput., March, 2023

An Evolutionary Guardrail Layout Design Framework for Crowd Control in Subway Stations.
IEEE Trans. Comput. Soc. Syst., February, 2023

An Adaptive Multiform Evolutionary Algorithm for Global Continuous Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Adaptive Geodesic Flow Kernel Transfer for Many-Task Optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Lightweight and Efficient Model for Audio Anti-Spoofing.
Proceedings of the ACM Multimedia Asia 2023, 2023

Automatic Business Location Selection through Particle Swarm Optimization and Neural Network.
Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

A Comprehensive Pragmatic Investigation of Batched Acquisition Functions in Bayesian Optimization.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic Regression.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

An Efficient Multitasking Ant Colony Optimization Framework.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Cooperative Coevolution Hyper-Heuristic Framework for Workflow Scheduling Problem.
IEEE Trans. Serv. Comput., 2022

Data-driven Crowd Modeling Techniques: A Survey.
ACM Trans. Model. Comput. Simul., 2022

Why They Escape: Mining Prioritized Fuzzy Decision Rule in Crowd Evacuation.
IEEE Trans. Intell. Transp. Syst., 2022

Two-Echelon Dispatching Problem With Mobile Satellites in City Logistics.
IEEE Trans. Intell. Transp. Syst., 2022

Mining Implicit Equations From Data Using Gene Expression Programming.
IEEE Trans. Emerg. Top. Comput., 2022

Multiclass Classification on High Dimension and Low Sample Size Data Using Genetic Programming.
IEEE Trans. Emerg. Top. Comput., 2022

A Review on Evolutionary Multitask Optimization: Trends and Challenges.
IEEE Trans. Evol. Comput., 2022

An efficient multi-objective ant colony optimization for task allocation of heterogeneous unmanned aerial vehicles.
J. Comput. Sci., 2022

ConvNext Based Neural Network for Anti-Spoofing.
CoRR, 2022

A Data-Driven Approach for Pedestrian Intention Prediction in Large Public Places.
Proceedings of the SIGSIM-PADS '22: SIGSIM Conference on Principles of Advanced Discrete Simulation, Atlanta, GA, USA, June 8, 2022

Towards Dual-Modal Crowd Density Forecasting in Transportation Building.
Proceedings of the International Joint Conference on Neural Networks, 2022

Building an Efficient Retrieval-based Dialogue System with Contrastive Learning.
Proceedings of the International Joint Conference on Neural Networks, 2022

Comparison Analysis on Techniques of Preprocessing Imbalanced Data for Symbolic Regression.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021
Density-Enhanced Multiobjective Evolutionary Approach for Power Economic Dispatch Problems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

An Energy-Efficient Partition-Based Framework With Continuous Ant Colony Optimization for Target Tracking in Mobile Sensor Networks.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Surrogate-Assisted Evolutionary Framework with Adaptive Knowledge Transfer for Multi-Task Optimization.
IEEE Trans. Emerg. Top. Comput., 2021

Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation.
IEEE Trans. Cybern., 2021

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking.
IEEE Trans. Cybern., 2021

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern., 2021

Towards Generalized Resource Allocation on Evolutionary Multitasking for Multi-Objective Optimization.
IEEE Comput. Intell. Mag., 2021

A Comparative Analysis of Dimensionality Reduction Methods for Genetic Programming to Solve High-Dimensional Symbolic Regression Problems.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Implicit Neural Network for Implicit Data Regression Problems.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Multi-loop Adaptive Differential Evolution for Large-Scale Expensive Optimization.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020
Multifactorial Genetic Programming for Symbolic Regression Problems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Ant Colony System With Sorting-Based Local Search for Coverage-Based Test Case Prioritization.
IEEE Trans. Reliab., 2020

Dimensionally Aware Multi-Objective Genetic Programming for Automatic Crowd Behavior Modeling.
ACM Trans. Model. Comput. Simul., 2020

An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression.
Soft Comput., 2020

An efficient memetic genetic programming framework for symbolic regression.
Memetic Comput., 2020

A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink.
IEEE CAA J. Autom. Sinica, 2020

Automatical Guardrail Design of Subway Stations through Multi-objective Evolutionary Algorithm.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Evolutionary Multitasking via Explicit Autoencoding.
IEEE Trans. Cybern., 2019

Niching particle swarm optimization with equilibrium factor for multi-modal optimization.
Inf. Sci., 2019

Multi-objective Genetic Algorithm for Continuous Network Design Problems.
Aust. J. Intell. Inf. Process. Syst., 2019

A Multi-Objective Hyper-Heuristic for Unmanned Aerial Vehicle Data Collection in Wireless Sensor Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling.
ACM Trans. Model. Comput. Simul., 2018

Guide them through: An automatic crowd control framework using multi-objective genetic programming.
Appl. Soft Comput., 2018

An Efficient Cooperative Co-Evolutionary Gene Expression Programming.
Proceedings of the 2018 IEEE SmartWorld, 2018

A Deep Learning Assisted Gene Expression Programming Framework for Symbolic Regression Problems.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

ES-GP: An Effective Evolutionary Regression Framework with Gaussian Process and Adaptive Segmentation Strategy.
Proceedings of the Computational Science - ICCS 2018, 2018

Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery.
Proceedings of the Computational Science - ICCS 2018, 2018

A study of similarity measure between tasks for multifactorial evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

An efficient ant colony system for coverage based test case prioritization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-population genetic programming with adaptively weighted building blocks for symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Surrogate-Assisted Multi-Tasking Memetic Algorithm.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Fast Memetic Multi-Objective Differential Evolution for Multi-Tasking Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training.
IEEE Trans. Comput. Intell. AI Games, 2017

Sampling-based adaptive bounding evolutionary algorithm for continuous optimization problems.
Inf. Sci., 2017

Gene Expression Programming: A Survey [Review Article].
IEEE Comput. Intell. Mag., 2017

Automatic model construction for the behavior of human crowds.
Appl. Soft Comput., 2017

Surrogate assisted calibration framework for crowd model calibration.
Proceedings of the 2017 Winter Simulation Conference, 2017

Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Indicator-based multi-objective genetic programming for workflow scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Load balance aware distributed differential evolution for computationally expensive optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Self-Learning Gene Expression Programming.
IEEE Trans. Evol. Comput., 2016

IBED: Combining IBEA and DE for optimal feature selection in software product line engineering.
Appl. Soft Comput., 2016

Learning behavior patterns from video for agent-based crowd modeling and simulation.
Auton. Agents Multi Agent Syst., 2016

Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

RA2: Predicting Simulation Execution Time for Cloud-Based Design Space Explorations.
Proceedings of the 20th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2016

A Hyper-Heuristic Framework for Agent-Based Crowd Modeling and Simulation: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Density-based evolutionary framework for crowd model calibration.
J. Comput. Sci., 2015

Differential evolution with sensitivity analysis and the Powell's method for crowd model calibration.
J. Comput. Sci., 2015

Crowd evacuation planning using cartesian genetic programming and agent-based crowd modeling.
Proceedings of the 2015 Winter Simulation Conference, 2015

Data-Driven Dynamic Adaptation Framework for Multi-agent Training Game.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Deadline Constrained Cloud Computing Resources Scheduling through an Ant Colony System Approach.
Proceedings of the 2015 International Conference on Cloud Computing Research and Innovation, 2015

A data-driven approach for online adaptation of game difficulty.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
Ea-based evacuation planning using agent-based crowd simulation.
Proceedings of the 2014 Winter Simulation Conference, 2014

Automatic rule identification for agent-based crowd models through gene expression programming.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
A Differential Evolution Algorithm With Dual Populations for Solving Periodic Railway Timetable Scheduling Problem.
IEEE Trans. Evol. Comput., 2013

Mission-Based Scenario Modeling and Generation for Virtual Training.
Proceedings of the Ninth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013

2012
Ant colony optimization algorithm for lifetime maximization in wireless sensor network with mobile sink.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

SDE: a stochastic coding differential evolution for global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

A preference-based bi-objective approach to the payment scheduling negotiation problem with the extended r-dominance and NSGA-ii.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Evolutionary Computation Meets Machine Learning: A Survey.
IEEE Comput. Intell. Mag., 2011

A multi-objective memetic algorithm for relay node placement in wireless sensor network.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Adaptive multi-objective differential evolution with stochastic coding strategy.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Parallel exploitation in estimated basins of attraction: a new derivative-free optimization algorithm.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Energy-efficient local wake-up scheduling in wireless sensor networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

A robust estimation of distribution algorithm for power electronic circuits design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
A Novel Fuzzy Histogram Based Estimation of Distribution Algorithm for Global Numerical Optimization.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

2008
A Novel Genetic Algorithm with Orthogonal Prediction for Global Numerical Optimization.
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008

2006
Continuous Function Optimization Using Hybrid Ant Colony Approach with Orthogonal Design Scheme.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

An Enhanced Genetic Algorithm with Orthogonal Design.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Adaptive crossover and mutation in genetic algorithms based on clustering technique.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Comparison of Performance between Different Selection Strategies on Simple Genetic Algorithms.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005


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