Comparison of Performance between Different Selection Strategies on Simple Genetic Algorithms. - Jinghui Zhong; Xiaomin Hu; Jun Zhang 003; Min Gu (CIMCA/IAWTIC, 2005)

Adaptive crossover and mutation in genetic algorithms based on clustering technique. - Jun Zhang 003; Henry Shu-Hung Chung; Jinghui Zhong (GECCO, 2005)

An Enhanced Genetic Algorithm with Orthogonal Design. - Xiaomin Hu; Jun Zhang 003; Jinghui Zhong (IEEE Congress on Evolutionary Computation, 2006)

Continuous Function Optimization Using Hybrid Ant Colony Approach with Orthogonal Design Scheme. - Jun Zhang 003; Wei-neng Chen; Jinghui Zhong; Xuan Tan; Yun Li 002 (SEAL, 2006)

A Novel Genetic Algorithm with Orthogonal Prediction for Global Numerical Optimization. - Jun Zhang 003; Jinghui Zhong; Xiaomin Hu (SEAL, 2008)

A Novel Fuzzy Histogram Based Estimation of Distribution Algorithm for Global Numerical Optimization. - Weili Liu; Jinghui Zhong; Wei-Gang Wu; Jing Xiao 005; Jun Zhang 003 (SoCPaR, 2009)

A robust estimation of distribution algorithm for power electronic circuits design. - Jinghui Zhong; Jun Zhang 003 (GECCO, 2010)

MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization. - Jinghui Zhong; Jun Zhang 003; Zhun Fan (SEAL, 2010)

Energy-efficient local wake-up scheduling in wireless sensor networks. - Jing-Hui Zhong; Jun Zhang 003 (IEEE Congress on Evolutionary Computation, 2011)

Parallel exploitation in estimated basins of attraction: a new derivative-free optimization algorithm. - Ying Lin 001; Jing-Hui Zhong; Jun Zhang 003 (GECCO, 2011)

Adaptive multi-objective differential evolution with stochastic coding strategy. - Jing-Hui Zhong; Jun Zhang 003 (GECCO, 2011)

A multi-objective memetic algorithm for relay node placement in wireless sensor network. - Jing-Hui Zhong; Jun Zhang 003 (GECCO (Companion), 2011)

Evolutionary Computation Meets Machine Learning: A Survey. - Jun Zhang 003; Zhi-hui Zhan; Ying Lin 001; Ni Chen; Yue-jiao Gong; Jing-Hui Zhong; Henry Shu-Hung Chung; Yun Li 002; Yu-hui Shi (IEEE Comput. Intell. Mag., 2011)

A preference-based bi-objective approach to the payment scheduling negotiation problem with the extended r-dominance and NSGA-ii. - Wei-neng Chen; Jun Zhang 003; Jinghui Zhong (GECCO, 2012)

SDE: a stochastic coding differential evolution for global optimization. - Jinghui Zhong; Jun Zhang 003 (GECCO, 2012)

Ant colony optimization algorithm for lifetime maximization in wireless sensor network with mobile sink. - Jinghui Zhong; Jun Zhang 003 (GECCO, 2012)

Mission-Based Scenario Modeling and Generation for Virtual Training. - Linbo Luo 001; Haiyan Yin; Jinghui Zhong; Wentong Cai 001; Michael Lees; Suiping Zhou (AIIDE, 2013)

A Differential Evolution Algorithm With Dual Populations for Solving Periodic Railway Timetable Scheduling Problem. - Jing-Hui Zhong; Meie Shen; Jun Zhang 003; Henry Shu-Hung Chung; Yu-hui Shi; Yun Li 002 (IEEE Trans. Evol. Comput., 2013)

Automatic rule identification for agent-based crowd models through gene expression programming. - Jinghui Zhong; Linbo Luo 001; Wentong Cai 001; Michael Lees (AAMAS, 2014)

Ea-based evacuation planning using agent-based crowd simulation. - Jinghui Zhong; Wentong Cai 001; Linbo Luo 001; Michael Lees (WSC, 2014)

Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling. - Jinghui Zhong; Wentong Cai 001; Linbo Luo 001; Haiyan Yin (AAMAS, 2015)

A data-driven approach for online adaptation of game difficulty. - Haiyan Yin; Linbo Luo 001; Wentong Cai 001; Yew-Soon Ong; Jinghui Zhong (CIG, 2015)

Deadline Constrained Cloud Computing Resources Scheduling through an Ant Colony System Approach. - Zong-Gan Chen; Zhi-Hui Zhan; Hai-Hao Li; Ke-Jing Du; Jing-Hui Zhong; Yong Wee Foo; Yun Li 002; Jun Zhang 003 (ICCCRI, 2015)

Data-Driven Dynamic Adaptation Framework for Multi-agent Training Game. - Haiyan Yin; Linbo Luo 001; Wentong Cai 001; Jinghui Zhong (WI-IAT (2), 2015)

Crowd evacuation planning using cartesian genetic programming and agent-based crowd modeling. - Jinghui Zhong; Wentong Cai 001; Linbo Luo 001 (WSC, 2015)

Differential evolution with sensitivity analysis and the Powell's method for crowd model calibration. - Jinghui Zhong; Wentong Cai 001 (J. Comput. Sci., 2015)

Density-based evolutionary framework for crowd model calibration. - Jinghui Zhong; Nan Hu; Wentong Cai 001; Michael Lees; Linbo Luo 001 (J. Comput. Sci., 2015)

A Hyper-Heuristic Framework for Agent-Based Crowd Modeling and Simulation: (Extended Abstract). - Jinghui Zhong; Wentong Cai 001 (AAMAS, 2016)

RA2: Predicting Simulation Execution Time for Cloud-Based Design Space Explorations. - Ta Nguyen Binh Duong; Jinghui Zhong; Wentong Cai 001; Zengxiang Li; Suiping Zhou (DS-RT, 2016)

Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem. - Lei Zhou 020; Liang Feng 001; Jinghui Zhong; Yew-Soon Ong; Zexuan Zhu; Edwin Hsing-Mean Sha (SSCI, 2016)

Learning behavior patterns from video for agent-based crowd modeling and simulation. - Jinghui Zhong; Wentong Cai 001; Linbo Luo 001; Mingbi Zhao (Auton. Agents Multi Agent Syst., 2016)

IBED: Combining IBEA and DE for optimal feature selection in software product line engineering. - Yinxing Xue; Jinghui Zhong; Tian Huat Tan; Yang Liu 003; Wentong Cai 001; Manman Chen; Jun Sun 001 (Appl. Soft Comput., 2016)

Self-Learning Gene Expression Programming. - Jinghui Zhong; Yew-Soon Ong; Wentong Cai 001 (IEEE Trans. Evol. Comput., 2016)

Load balance aware distributed differential evolution for computationally expensive optimization problems. - Ning Ma; Xiao Fang Liu; Zhi-Hui Zhan; Jing-Hui Zhong; Jun Zhang 003 (GECCO (Companion), 2017)

Indicator-based multi-objective genetic programming for workflow scheduling problem. - Qin-zhe Xiao; Jinghui Zhong; Wen-Neng Chen; Zhi-Hui Zhan; Jun Zhang 003 (GECCO (Companion), 2017)

Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink. - Ying Li; Zhixing Huang; Jinghui Zhong; Liang Feng 001 (SEAL, 2017)

Surrogate assisted calibration framework for crowd model calibration. - Wenchao Yi; Jinghui Zhong; Singkuang Tan; Wentong Cai 001; Nan Hu (WSC, 2017)

Automatic model construction for the behavior of human crowds. - Jinghui Zhong; Wentong Cai 001; Michael Lees; Linbo Luo 001 (Appl. Soft Comput., 2017)

Gene Expression Programming: A Survey [Review Article]. - Jinghui Zhong; Liang Feng 001; Yew-Soon Ong (IEEE Comput. Intell. Mag., 2017)

Sampling-based adaptive bounding evolutionary algorithm for continuous optimization problems. - Linbo Luo 001; Xiangting Hou; Jinghui Zhong; Wentong Cai 001; Jianfeng Ma 001 (Inf. Sci., 2017)

Design and Evaluation of a Data-Driven Scenario Generation Framework for Game-Based Training. - Linbo Luo 001; Haiyan Yin; Wentong Cai 001; Jinghui Zhong; Michael Lees (IEEE Trans. Comput. Intell. AI Games, 2017)

A Fast Memetic Multi-Objective Differential Evolution for Multi-Tasking Optimization. - Yongliang Chen; Jinghui Zhong; Mingkui Tan (CEC, 2018)

Surrogate-Assisted Multi-Tasking Memetic Algorithm. - Dingnan Liu; Shijia Huang; Jinghui Zhong (CEC, 2018)

Multi-population genetic programming with adaptively weighted building blocks for symbolic regression. - Zhixing Huang; Jinghui Zhong; Weili Liu; Zhou Wu 001 (GECCO (Companion), 2018)

An efficient ant colony system for coverage based test case prioritization. - Chengyu Lu; Jinghui Zhong (GECCO (Companion), 2018)

A study of similarity measure between tasks for multifactorial evolutionary algorithm. - Lei Zhou 020; Liang Feng 001; Jinghui Zhong; Zexuan Zhu; Bingshui Da; Zhou Wu 001 (GECCO (Companion), 2018)

Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery. - Yongliang Chen; Jinghui Zhong; Mingkui Tan (ICCS (1), 2018)

ES-GP: An Effective Evolutionary Regression Framework with Gaussian Process and Adaptive Segmentation Strategy. - Shijia Huang; Jinghui Zhong (ICCS (3), 2018)

A Deep Learning Assisted Gene Expression Programming Framework for Symbolic Regression Problems. - Jinghui Zhong; Yusen Lin; Chengyu Lu; Zhixing Huang (ICONIP (7), 2018)

An Efficient Cooperative Co-Evolutionary Gene Expression Programming. - Tiantian Cheng; Jinghui Zhong (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Guide them through: An automatic crowd control framework using multi-objective genetic programming. - Nan Hu; Jinghui Zhong; Joey Tianyi Zhou; Suiping Zhou; Wentong Cai 001; Christopher P. Monterola (Appl. Soft Comput., 2018)

A Role-Dependent Data-Driven Approach for High-Density Crowd Behavior Modeling. - Mingbi Zhao; Jinghui Zhong; Wentong Cai 001 (ACM Trans. Model. Comput. Simul., 2018)

A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer. - Jinghui Zhong; Linhao Li; Weili Liu; Liang Feng 001; Xiao-Min Hu (CEC, 2019)

A Multi-Objective Hyper-Heuristic for Unmanned Aerial Vehicle Data Collection in Wireless Sensor Networks. - Zhixing Huang; Chengyu Lu; Jinghui Zhong (SSCI, 2019)

Multi-objective Genetic Algorithm for Continuous Network Design Problems. - Rui You; Wei-Neng Chen; An Song; Jinghui Zhong; Yue-Jiao Gong (Aust. J. Intell. Inf. Process. Syst., 2019)

Niching particle swarm optimization with equilibrium factor for multi-modal optimization. - Yikai Li; Yongliang Chen; Jinghui Zhong; Zhixing Huang (Inf. Sci., 2019)

Evolutionary Multitasking via Explicit Autoencoding. - Liang Feng 001; Lei Zhou 020; Jinghui Zhong; Abhishek Gupta 001; Yew-Soon Ong; Kay Chen Tan; Alex Kai Qin (IEEE Trans. Cybern., 2019)

Submission from SCUT for Blizzard Challenge 2020. - Yitao Yang; Jinghui Zhong; Shehui Bu (Blizzard Challenge / Voice Conversion Challenge, 2020)

Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming. - Ruihua Zeng; Zhixing Huang; Yongliang Chen; Jinghui Zhong; Liang Feng 001 (CEC, 2020)

Automatical Guardrail Design of Subway Stations through Multi-objective Evolutionary Algorithm. - Tiantian Cheng; Jinghui Zhong; Wentong Cai 001 (SMC, 2020)

A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink. - Jinghui Zhong; Zhixing Huang; Liang Feng 001; Wan Du; Ying Li (IEEE CAA J. Autom. Sinica, 2020)

An efficient memetic genetic programming framework for symbolic regression. - Tiantian Cheng; Jinghui Zhong (Memetic Comput., 2020)

A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression. - Zhixing Huang; Jinghui Zhong; Liang Feng 001; Yi Mei 001; Wentong Cai 001 (Soft Comput., 2020)

An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization. - Yongliang Chen; Jinghui Zhong; Liang Feng 001; Jun Zhang 003 (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Dimensionally Aware Multi-Objective Genetic Programming for Automatic Crowd Behavior Modeling. - Dongrui Li; Jinghui Zhong (ACM Trans. Model. Comput. Simul., 2020)

Ant Colony System With Sorting-Based Local Search for Coverage-Based Test Case Prioritization. - Chengyu Lu; Jinghui Zhong; Yinxing Xue; Liang Feng 001; Jun Zhang 003 (IEEE Trans. Reliab., 2020)

Multifactorial Genetic Programming for Symbolic Regression Problems. - Jinghui Zhong; Liang Feng 001; Wentong Cai 001; Yew-Soon Ong (IEEE Trans. Syst. Man Cybern. Syst., 2020)

The SCUT Text-To-Speech System for the Blizzard Challenge 2021. - Weiheng Liu; Yitao Yang; Jiangwei Li; Jinghui Zhong (Blizzard Challenge, 2021)

Multi-loop Adaptive Differential Evolution for Large-Scale Expensive Optimization. - Hong-Rui Wang; Yi Jiang; Zhi-Hui Zhan; Jinghui Zhong (ChineseCSCW (1), 2021)

Implicit Neural Network for Implicit Data Regression Problems. - Zhibin Miao; Jinghui Zhong; Peng Yang 008; Shibin Wang; Dong Liu 008 (ICONIP (5), 2021)

A Comparative Analysis of Dimensionality Reduction Methods for Genetic Programming to Solve High-Dimensional Symbolic Regression Problems. - Lianjie Zhong; Jinghui Zhong; Chengyu Lu (SMC, 2021)

Towards Generalized Resource Allocation on Evolutionary Multitasking for Multi-Objective Optimization. - Tingyang Wei; Jinghui Zhong (IEEE Comput. Intell. Mag., 2021)

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. - Liang Feng 001; Yuxiao Huang; Lei Zhou 020; Jinghui Zhong; Abhishek Gupta 001; Ke Tang 001; Kay Chen Tan (IEEE Trans. Cybern., 2021)

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. - Liang Feng 001; Lei Zhou 020; Abhishek Gupta 001; Jinghui Zhong; Zexuan Zhu; Kay Chen Tan; Alex Kai Qin (IEEE Trans. Cybern., 2021)

Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation. - Lei Zhou 020; Liang Feng 001; Kay Chen Tan; Jinghui Zhong; Zexuan Zhu; Kai Liu 001; Chao Chen 004 (IEEE Trans. Cybern., 2021)

Surrogate-Assisted Evolutionary Framework with Adaptive Knowledge Transfer for Multi-Task Optimization. - Shijia Huang; Jinghui Zhong; Wei-Jie Yu 001 (IEEE Trans. Emerg. Top. Comput., 2021)

An Energy-Efficient Partition-Based Framework With Continuous Ant Colony Optimization for Target Tracking in Mobile Sensor Networks. - Tingyang Wei; Jinghui Zhong; Jun Zhang 003 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Density-Enhanced Multiobjective Evolutionary Approach for Power Economic Dispatch Problems. - Jing-Yu Ji; Wei-Jie Yu 001; Jinghui Zhong; Jun Zhang 003 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Comparison Analysis on Techniques of Preprocessing Imbalanced Data for Symbolic Regression. - Cuixin Ma; Wei-Li Liu; Jinghui Zhong; Liang Feng 001 (ChineseCSCW (2), 2022)

Building an Efficient Retrieval-based Dialogue System with Contrastive Learning. - Jiangwei Li; Jinghui Zhong (IJCNN, 2022)

Towards Dual-Modal Crowd Density Forecasting in Transportation Building. - Weiheng Liu; Yitao Yang; Jinghui Zhong (IJCNN, 2022)

A Data-Driven Approach for Pedestrian Intention Prediction in Large Public Places. - Bo Zhang 118; Jinghui Zhong; Wentong Cai 001 (SIGSIM-PADS, 2022)

ConvNext Based Neural Network for Anti-Spoofing. - Qiaowei Ma; Jinghui Zhong; Yitao Yang; Weiheng Liu; Ying Gao 004; Wing W. Y. Ng (CoRR, 2022)

An efficient multi-objective ant colony optimization for task allocation of heterogeneous unmanned aerial vehicles. - Lizhi Chen; Wei-Li Liu; Jinghui Zhong (J. Comput. Sci., 2022)

A Review on Evolutionary Multitask Optimization: Trends and Challenges. - Tingyang Wei; Shibin Wang; Jinghui Zhong; Dong Liu 008; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2022)

Multiclass Classification on High Dimension and Low Sample Size Data Using Genetic Programming. - Tingyang Wei; Wei-Li Liu; Jinghui Zhong; Yue-Jiao Gong (IEEE Trans. Emerg. Top. Comput., 2022)

Mining Implicit Equations From Data Using Gene Expression Programming. - Jinghui Zhong; Jiaquan Yang; Yongliang Chen; Wei-Li Liu; Liang Feng 001 (IEEE Trans. Emerg. Top. Comput., 2022)

Two-Echelon Dispatching Problem With Mobile Satellites in City Logistics. - Yulin Lan; Fa-Gui Liu; Zhixing Huang; Wing W. Y. Ng; Jinghui Zhong (IEEE Trans. Intell. Transp. Syst., 2022)

Why They Escape: Mining Prioritized Fuzzy Decision Rule in Crowd Evacuation. - Linbo Luo 001; Baodan Zhang; Bin Guo 001; Jinghui Zhong; Wentong Cai 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Data-driven Crowd Modeling Techniques: A Survey. - Jinghui Zhong; Dongrui Li; Zhixing Huang; Chengyu Lu; Wentong Cai 001 (ACM Trans. Model. Comput. Simul., 2022)

A Cooperative Coevolution Hyper-Heuristic Framework for Workflow Scheduling Problem. - Qin-zhe Xiao; Jinghui Zhong; Liang Feng 001; Linbo Luo 001; Jianming Lv (IEEE Trans. Serv. Comput., 2022)

SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis. - Chenglong Jiang; Ying Gao 004; Wing W. Y. Ng; Jiyong Zhou; Jinghui Zhong; Hongzhong Zhen (AAAI, 2023)

The SCUT Text-To-Speech System for the Blizzard Challenge 2023. - Qiaowei Ma; Weiheng Liu; Yitao Yang; Chao Xu; Hongtao Ling; Jinghui Zhong (Blizzard Challenge, 2023)

An Efficient Multitasking Ant Colony Optimization Framework. - Zhenjian Yu; Wei-Li Liu; Jinghui Zhong; Ting Huang; Xu Lu 002; Zhiyong Lin (CEC, 2023)

LGP-VEC: A Vectorial Linear Genetic Programming for Symbolic Regression. - Nikola Gligorovski; Jinghui Zhong (GECCO Companion, 2023)

A Comprehensive Pragmatic Investigation of Batched Acquisition Functions in Bayesian Optimization. - Ruizhe Zhou; Jinghui Zhong (GECCO Companion, 2023)

Automatic Business Location Selection through Particle Swarm Optimization and Neural Network. - Yinyi Luo; Jinghui Zhong; Wei-Li Liu; Wei-Neng Chen (ICACI, 2023)

A Lightweight and Efficient Model for Audio Anti-Spoofing. - Qiaowei Ma; Jinghui Zhong; Yitao Yang; Weiheng Liu; Ying Gao 004; Wing W. Y. Ng (MMAsia, 2023)

Adaptive Geodesic Flow Kernel Transfer for Many-Task Optimization. - Yang-Tao Dai; Xiao-Fang Liu; Zhi-Hui Zhan; Jinghui Zhong; Jun Zhang 003 (SSCI, 2023)

An Adaptive Multiform Evolutionary Algorithm for Global Continuous Optimization. - Hongtao Ling; Jinghui Zhong; Junlan Dong; Shanxia Wang; Shibin Wang; Qin Zhang 009 (SSCI, 2023)

An Evolutionary Guardrail Layout Design Framework for Crowd Control in Subway Stations. - Jinghui Zhong; Tiantian Cheng; Wei-Li Liu; Peng Yang 008; Ying Lin 001; Jun Zhang 003 (IEEE Trans. Comput. Soc. Syst., 2023)

HAS-EA: a fast parallel surrogate-assisted evolutionary algorithm. - Yixian Li; Jinghui Zhong (Memetic Comput., 2023)

An evolutionary framework for automatic security guards deployment in large public spaces. - Zhitong Ma; Jinghui Zhong; Wei-Li Liu; Wei-Jie Yu (Appl. Intell., 2023)

Knowledge transfer in evolutionary multi-task optimization: A survey. - Ziying Tan; Linbo Luo 001; Jinghui Zhong (Appl. Soft Comput., 2023)

An Efficient Federated Genetic Programming Framework for Symbolic Regression. - Junlan Dong; Jinghui Zhong; Wei-Neng Chen; Jun Zhang 003 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Crowd Management Through Optimal Layout of Fences: An Ant Colony Approach Based on Crowd Simulation. - Xiao-Cheng Liao; Wei-Neng Chen; Xiao-Qi Guo; Jinghui Zhong; Xiao-Min Hu (IEEE Trans. Intell. Transp. Syst., 2023)

Surrogate-Assisted Flip for Evolutionary High-Dimensional Multiobjective Feature Selection. - Qi-Te Yang; Liu-Yue Luo; Chun-Hua Chen 002; Jian-Yu Li; Jing-Hui Zhong; Jun Zhang 003; Zhi-Hui Zhan (CEC, 2024)

Sign Change Detection based Fitness Evaluation for Automatic Implicit Equation Discovery. - Jiahao Wen; Junlan Dong; Jinghui Zhong (GECCO, 2024)

Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm. - Wei-Li Liu; Yixin Chen; Xiang Li; Jinghui Zhong; Rongjun Chen; Hu Jin (Complex Syst. Model. Simul., 2024)

Semantic dependency and local convolution for enhancing naturalness and tone in text-to-speech synthesis. - Chenglong Jiang; Ying Gao 004; Wing W. Y. Ng; Jiyong Zhou; Jinghui Zhong; Hongzhong Zhen; Xiping Hu (Neurocomputing, 2024)

UCGAN: a contrastive learning-based unaligned image translation model with importance reweighting. - Shibin Wang; Shiying Zhang; Dong Liu 008; Jinghui Zhong (Adv. Math. Commun., 2024)

Towards explainable traffic signal control for urban networks through genetic programming. - Wei-Li Liu; Jinghui Zhong; Peng Liang 003; Jianhua Guo 004; Huimin Zhao 001; Jun Zhang 003 (Swarm Evol. Comput., 2024)

Automatic Crowd Navigation Path Planning in Public Scenes Through Multiobjective Differential Evolution. - Jinghui Zhong; Dongrui Li; Wentong Cai 001; Wei-Neng Chen; Yuhui Shi 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Semantic Linear Genetic Programming for Symbolic Regression. - Zhixing Huang; Yi Mei 001; Jinghui Zhong (IEEE Trans. Cybern., 2024)

Automatic Guidance Signage Placement Through Multiobjective Evolutionary Algorithm. - Yixin Chen; Jinghui Zhong; Wei-Li Liu; Linbo Luo 001; Wentong Cai 001 (IEEE Trans. Comput. Soc. Syst., 2024)

A Max-Min Ant System With Repetitive Influence Reduction Strategy for Interactive Dissemination of Positive and Negative Information. - Xuan-Li Shi; Wei-Neng Chen; Jing-Hui Zhong; Jun Zhang 003 (IEEE Trans. Comput. Soc. Syst., 2024)

Corrections to "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation". - Lei Zhou 020; Liang Feng 001; Kay Chen Tan; Jinghui Zhong; Zexuan Zhu; Kai Liu 001; Chao Chen 004 (IEEE Trans. Cybern., 2024)

Accelerating Evolutionary Multitasking Optimization With a Generalized GPU-Based Framework. - Zhitong Ma; Jinghui Zhong; Wei-Li Liu; Jun Zhang 003 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Progressive Community Merging Cooperative Coevolution Algorithm for Influence Blocking Maximization in Social Networks. - Ming Gu 010; Tian-Fang Zhao; Jinghui Zhong; Wei-Neng Chen (IEEE Trans. Netw. Sci. Eng., 2025)

Fine-Grained Trajectory Reconstruction by Microscopic Traffic Simulation With Dynamic Data-Driven Evolutionary Optimization. - Htet Naing; Wentong Cai 001; Jinqiang Yu; Jinghui Zhong; Liang Yu 005 (IEEE Trans. Intell. Transp. Syst., 2025)

HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks. - Xiaoxu Han; Xin Mu; Jinghui Zhong (IEEE Trans. Artif. Intell., 2025)

Evolutionary Multitask Optimization for Multiform Feature Selection in Classification. - Qi-Te Yang; Xin-Xin Xu; Zhi-Hui Zhan; Jinghui Zhong; Sam Kwong; Jun Zhang 003 (IEEE Trans. Cybern., 2025)

Multiform Genetic Programming Framework for Symbolic Regression Problems. - Jinghui Zhong; Junlan Dong; Wei-Li Liu; Liang Feng 001; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2025)

Transformer-Assisted Genetic Programming for Symbolic Regression [Research Frontier]. - Xiaoxu Han; Jinghui Zhong; Zhitong Ma; Xin Mu; Nikola Gligorovski (IEEE Comput. Intell. Mag., 2025)

Multi-task Ant Colony Optimization for Multi-vehicle Path Planning. - Wei-Li Liu; Zhenjian Yu; Zhixing Huang; Jinghui Zhong; Xu Lu 002; Zhiyong Lin; Huimin Zhao 001 (Memetic Comput., 2025)

BPTCN: a low-latency branch prediction model based on temporal convolutional networks. - Ye Cai 001; Jinghui Zhong; Guoliang Chen; Hao Liao (J. Supercomput., 2025)

DRIFT: A Dynamic Crowd Inflow Control System Using LSTM-Based Deep Reinforcement Learning. - Xiao-Cheng Liao; Wei-Neng Chen; Xiao-Qi Guo; Jinghui Zhong; Da-Jiang Wang (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Understanding Operational CDN Live Streaming: A Measurement Study on Performance, Costs, and Enhancements. - Danfu Yuan; Weizhan Zhang; Haiyu Huang 005; Kai Xiao; Yunfei Ma; Xuan Zeng 002; Peng Chen; Hongfei Yan; Yubing Qiu; Mingliang Yang; Songlin Li; Jinghui Zhong; et al. (IEEE Trans. Circuits Syst. Video Technol., 2025)

Recent Advances in Symbolic Regression. - Junlan Dong; Jinghui Zhong (ACM Comput. Surv., 2025)