Coordinating Multi-Agents using JavaSpaces. - Gang Chen 002; Zhonghua Yang; Hao He; Kiah Mok Goh (ICPADS, 2002)

Multi-agent coordination: a fuzzy logic based approach. - Gang Chen 002; Zhonghua Yang; Hao He; Kiah Mok Goh (AAMAS, 2003)

Agent-Mediated Genetic Super-Scheduling in Grid Environments. - Gang Chen 002; Zhonghua Yang; Simon See; Jie Song 005 (PDCAT, 2004)

Coordinating Multiple Agents via Reinforcement Learning. - Gang Chen 002; Zhonghua Yang; Hao He; Kiah Mok Goh (Auton. Agents Multi Agent Syst., 2005)

Maintaining System State Information in a Multiagent Environment for Effective Learning. - Gang Chen 002; Zhonghua Yang; Hao He; Kiah Mok Goh (IEICE Trans. Inf. Syst., 2005)

Coordinating Agents in Shop Floor Environments From a Dynamic Systems Perspective. - Gang Chen 002; Zhonghua Yang; Chor Ping Low (IEEE Trans. Ind. Informatics, 2006)

Extremal search of decision policies for scalable distributed applications. - Gang Chen 002; Chor Ping Low; Zhonghua Yang (Infoscale, 2007)

Semantic enhanced rule driven workflow execution in Collaborative Virtual Enterprise. - Wei Ren; Gang Chen 002; Zhonghua Yang; Junhong Zhou; Jing-Bing Zhang; Chor Ping Low; David Chen 002; Chengzheng Sun (ICARCV, 2008)

Self-organized manufacturing resource management: An ant-colony inspired approach. - Rong Zhou 004; Gang Chen 002; Zhonghua Yang; Ming Luo 003; Jing-Bing Zhang; Chak-Huah Tan (ICARCV, 2008)

Dynamic Self-Healing for Service Flows with Semantic Web Services. - Wei Ren; Gang Chen 002; Haifeng Shen; Zhonghua Yang; Jing-Bing Zhang; Chor Ping Low; David Chen 002; Chengzheng Sun (Web Intelligence, 2008)

Ant Colony Inspired Self-Healing for Resource Allocation in Service-Oriented Environment Considering Resource Breakdown. - Rong Zhou 004; Ren Wei; Gang Chen 002; Zhonghua Yang; Haifeng Shen; Jing-Bing Zhang; Ming Luo 003 (Web Intelligence, 2008)

Coordinated Services Provision in Peer-to-Peer Environments. - Gang Chen 002; Chor Ping Low; Zhonghua Yang (IEEE Trans. Parallel Distributed Syst., 2008)

Enhancing Search Performance in Unstructured P2P Networks Based on Users' Common Interest. - Gang Chen 002; Chor Ping Low; Zhonghua Yang (IEEE Trans. Parallel Distributed Syst., 2008)

Preserving and Exploiting Genetic Diversity in Evolutionary Programming Algorithms. - Gang Chen 002; Chor Ping Low; Zhonghua Yang (IEEE Trans. Evol. Comput., 2009)

A self-organization mechanism based on cross-entropy method for P2P-like applications. - Gang Chen 002; Abdolhossein Sarrafzadeh; Chor Ping Low; Liang Zhang 024 (ACM Trans. Auton. Adapt. Syst., 2010)

Designing games to educate diabetic children. - Gang Chen 002; Nilufar Baghaei; Abdolhossein Sarrafzadeh; Chris Manford; Steve Marshall; Gudrun Court (OZCHI, 2011)

SDE-Driven Service Provision Control. - Gang Chen 002; Shaoning Pang 001; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (ICONIP (1), 2012)

Class imbalance robust incremental LPSVM for data streams learning. - Lei Zhu; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh (IJCNN, 2012)

An incremental learning approach to continuous image change detection. - Lei Song; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (FSKD, 2013)

Chunk incremental IDR/QR LDA learning. - Yiming Peng; Shaoning Pang 001; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (IJCNN, 2013)

Quantifying selfishness and fairness in wireless multihop networks. - Normalia Samian; Winston Khoon Guan Seah; Gang Chen 002 (LCN, 2013)

Dynamic class imbalance learning for incremental LPSVM. - Shaoning Pang 001; Lei Zhu; Gang Chen 002; Abdolhossein Sarrafzadeh; Tao Ban; Daisuke Inoue (Neural Networks, 2013)

Service Provision Control in Federated Service Providing Systems. - Gang Chen 002; Abdolhossein Sarrafzadeh; Shaoning Pang 001 (IEEE Trans. Parallel Distributed Syst., 2013)

Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method. - Gang Chen 002; Mengjie Zhang 001; Shaoning Pang 001; Colin Douch (ICONIP (3), 2014)

Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution. - Sreenivas Sremath Tirumala; Gang Chen 002; Shaoning Pang 001 (ICONIP (3), 2014)

Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems. - Gang Chen 002; Colin Douch; Mengjie Zhang 001; Shaoning Pang 001 (ICONIP (2), 2015)

A fuzzy logic based cross-layer mechanism for medium access control in WBAN. - Seyed Mohammad Nekooei; Gang Chen 002; Ramesh Kumar Rayudu (PIMRC, 2015)

Using Learning Classifier Systems to Learn Stochastic Decision Policies. - Gang Chen 002; Colin I. J. Douch; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2015)

Parallel Multi-objective Job Shop Scheduling Using Genetic Programming. - Deepak Karunakaran; Gang Chen 002; Mengjie Zhang 001 (ACALCI, 2016)

An XCS-based algorithm for multi-objective reinforcement learning. - Xiu Cheng; Gang Chen 002; Mengjie Zhang 001 (CEC, 2016)

Many-objective genetic programming for job-shop scheduling. - Atiya Masood; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (CEC, 2016)

Evolutionary design of fuzzy logic controllers for medium access control in WBAN. - Seyed Mohammad Nekooei; Gang Chen 002; Ramesh Kumar Rayudu (CEC, 2016)

Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. - Su Nguyen; Yi Mei 001; Hui Ma 001; Aaron Chen 001; Mengjie Zhang 001 (CEC, 2016)

Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mark Johnston; Mengjie Zhang 001 (EuroGP, 2016)

Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. - John Park; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (GECCO (Companion), 2016)

Generalized Compatible Function Approximation for Policy Gradient Search. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Shaoning Pang 001 (ICONIP (1), 2016)

Proceedings in Adaptation, Learning and Optimization. - Deepak Karunakaran; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (IES, 2016)

Guest editorial: special issue on evolutionary optimization, feature reduction and learning. - Bing Xue 001; Gang Chen 002 (Soft Comput., 2016)

Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions. - Gang Chen 002; Colin I. J. Douch; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2016)

A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. - Atiya Masood; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (ACALCI, 2017)

Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mengjie Zhang 001 (ACALCI, 2017)

Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. - Will Hardwick-Smith; Yiming Peng; Gang Chen 002; Yi Mei 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2017)

Comprehensive Quality-Aware Automated Semantic Web Service Composition. - Chen Wang 013; Hui Ma 001; Aaron Chen 001; Sven Hartmann (Australasian Conference on Artificial Intelligence, 2017)

Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. - Josiah Jacobsen-Grocott; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (CEC, 2017)

Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. - Deepak Karunakaran; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (CEC, 2017)

Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. - Deepak Karunakaran; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (GECCO, 2017)

Automated state feature learning for actor-critic reinforcement learning through NEAT. - Yiming Peng; Gang Chen 002; Scott Holdaway; Yi Mei 001; Mengjie Zhang 001 (GECCO (Companion), 2017)

A sandpile model for reliable actor-critic reinforcement learning. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Shaoning Pang 001 (IJCNN, 2017)

BLAC: A Bindingless Architecture for Distributed SDN Controllers. - Victoria Huang 001; Qiang Fu 011; Gang Chen 002; Elliott Wen; Jonathan Hart (LCN, 2017)

Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks. - Seyed Mohammad Nekooei; Gang Chen 002; Ramesh Kumar Rayudu (SEAL, 2017)

Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Yi Mei 001 (SEAL, 2017)

GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition. - Chen Wang 013; Hui Ma 001; Aaron Chen 001; Sven Hartmann (SEAL, 2017)

Automatic design of fuzzy logic controllers for medium access control in wireless body area networks - An evolutionary approach. - Seyed Mohammad Nekooei; Gang Chen 002; Ramesh Kumar Rayudu (Appl. Soft Comput., 2017)

Towards Secure Smart Home IoT: Manufacturer and User Network Access Control Framework. - Mohammed Al-Shaboti; Ian Welch; Aaron Chen 001; Muhammad Adeel Mahmood (AINA, 2018)

Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III. - Atiya Masood; Gang Chen 002; Yi Mei 001; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2018)

Multi-objective Container Consolidation in Cloud Data Centers. - Tao Shi; Hui Ma 001; Gang Chen 002 (Australasian Conference on Artificial Intelligence, 2018)

Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Sven Hartmann (Australasian Conference on Artificial Intelligence, 2018)

Cluster-Guided Genetic Algorithm for Distributed Data-intensive Web Service Composition. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (CEC, 2018)

Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers. - Tao Shi; Hui Ma 001; Gang Chen 002 (CEC, 2018)

Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mengjie Zhang 001 (EuroGP, 2018)

Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. - Atiya Masood; Gang Chen 002; Yi Mei 001; Mengjie Zhang 001 (EvoCOP, 2018)

NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. - Yiming Peng; Gang Chen 002; Harman Singh; Mengjie Zhang 001 (GECCO, 2018)

EDA-based approach to comprehensive quality-aware automated semantic web service composition. - Chen Wang 013; Hui Ma 001; Gang Chen 002 (GECCO (Companion), 2018)

A new multi classifier system using entropy-based features in DDoS attack detection. - Abigail M. Y. Koay; Aaron Chen 001; Ian Welch; Winston K. G. Seah (ICOIN, 2018)

Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. - Gang Chen 002; Yiming Peng; Mengjie Zhang 001 (IJCNN, 2018)

Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. - Deepak Karunakaran; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (PPSN (2), 2018)

Knowledge-Driven Automated Web Service Composition - An EDA-Based Approach. - Chen Wang 013; Hui Ma 001; Aaron Chen 001; Sven Hartmann (WISE (2), 2018)

An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. - John Park; Yi Mei 001; Su Nguyen; Gang Chen 002; Mengjie Zhang 001 (Appl. Soft Comput., 2018)

An Adaptive Clipping Approach for Proximal Policy Optimization. - Gang Chen 002; Yiming Peng; Mengjie Zhang 001 (CoRR, 2018)

Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. - Gang Chen 002; Yiming Peng; Mengjie Zhang 001 (CoRR, 2018)

A Genetic-Based Approach to Location-Aware Cloud Service Brokering in Multi-Cloud Environment. - Tao Shi; Hui Ma 001; Gang Chen 002 (SCC, 2019)

Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. - Atiya Masood; Gang Chen 002; Yi Mei 001; Harith Al-Sahaf; Mengjie Zhang 001 (Australasian Conference on Artificial Intelligence, 2019)

Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Sven Hartmann (Australasian Conference on Artificial Intelligence, 2019)

IoT Application-Centric Access Control (ACAC). - Mohammed Al-Shaboti; Ian Welch; Aaron Chen 001 (AsiaCCS, 2019)

Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. - Deepak Karunakaran; Yi Mei 001; Gang Chen 002; Mengjie Zhang 001 (CEC, 2019)

Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (CEC, 2019)

A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment. - Tao Shi; Hui Ma 001; Gang Chen 002 (CEC, 2019)

Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. - Ramya Anasseriyil Viswambaran; Gang Chen 002; Bing Xue 001; Mohammad Nekooei (CEC, 2019)

Evolutionary Multitasking for Semantic Web Service Composition. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Sven Hartmann (CEC, 2019)

Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. - Yongbo Yu; Yalian Feng; Hui Ma 001; Aaron Chen 001; Chen Wang 013 (CEC, 2019)

Composing Distributed Data-Intensive Web Services Using Distance-Guided Memetic Algorithm. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (DEXA (2), 2019)

Using EDA-Based Local Search to Improve the Performance of NSGA-II for Multiobjective Semantic Web Service Composition. - Chen Wang 013; Hui Ma 001; Gang Chen 002 (DEXA (2), 2019)

A memetic algorithm with distance-guided crossover: distributed data-intensive web service composition. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (GECCO (Companion), 2019)

A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Sven Hartmann (GECCO (Companion), 2019)

Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning. - Victoria Huang 001; Gang Chen 002; Qiang Fu 011 (ICC, 2019)

Optimizing Controller Placement for Distributed Software-Defined Networks. - Guiying Huang; Gang Chen 002; Qiang Fu 011; Elliott Wen (IM, 2019)

Automatic Device Selection and Access Policy Generation Based on User Preference for IoT Activity Workflow. - Mohammed Al-Shaboti; Aaron Chen 001; Ian Welch (TrustCom/BigDataSE, 2019)

Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (CoRR, 2019)

Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. - Gang Chen 002; Yiming Peng (CoRR, 2019)

Optimizing Controller Placement for Software-Defined Networks. - Victoria Huang 001; Gang Chen 002; Qiang Fu 011; Elliott Wen (CoRR, 2019)

Automatic Device Selection and Access PolicyGeneration based on User Preference for IoTActivity Workflow. - Mohammed Al-Shaboti; Aaron Chen 001; Ian Welch (CoRR, 2019)

Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Sven Hartmann (CoRR, 2019)

A Distance-based Genetic Algorithm for Robust Data-intensive Web Service Composition in Dynamic Bandwidth Environment. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (SCC, 2020)

Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment. - Tao Shi; Hui Ma 001; Gang Chen 002 (SCC, 2020)

A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. - Gang Chen 002 (AAMAS, 2020)

A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. - Atiya Masood; Gang Chen 002; Yi Mei 001; Harith Al-Sahaf; Mengjie Zhang 001 (CEC, 2020)

Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. - Ramya Anasseriyil Viswambaran; Gang Chen 002; Bing Xue 001; Mohammad Nekooei (CEC, 2020)

Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud. - Kirita-Rose Escott; Hui Ma 001; Gang Chen 002 (DEXA (2), 2020)

QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (GECCO Companion, 2020)

Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment. - Tao Shi; Hui Ma 001; Gang Chen 002 (GECCO Companion, 2020)

Location-Aware and Budget-Constrained Application Replication and Deployment in Multi-Cloud Environment. - Tao Shi; Hui Ma 001; Gang Chen 002; Sven Hartmann (ICWS, 2020)

Effective Linear Policy Gradient Search through Primal-Dual Approximation. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001 (IJCNN, 2020)

Achieving IoT Devices Secure Sharing in Multi-User Smart Space. - Mohammed Al-Shaboti; Gang Chen 002; Ian Welch (LCN, 2020)

A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud. - Kirita-Rose Escott; Hui Ma 001; Gang Chen 002 (SSCI, 2020)

A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (SSCI, 2020)

Evolutionary Design of Long Short Term Memory (LSTM) Ensemble. - Ramya Anasseriyil Viswambaran; Gang Chen 002; Bing Xue 001; Mohammad Nekooei (SSCI, 2020)

A Novel Repair-Based Multi-objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (WISE (1), 2020)

Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks. - Seyed Mohammad Nekooei; Gang Chen 002 (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency. - Victoria Huang 001; Gang Chen 002; Peng Zhang 011; Hao Li 011; Chengchen Hu; Tian Pan 001; Qiang Fu 011 (IEEE Trans. Netw. Serv. Manag., 2020)

Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment. - Tao Shi; Hui Ma 001; Gang Chen 002; Sven Hartmann (IEEE Trans. Parallel Distributed Syst., 2020)

Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. - Atiya Masood; Gang Chen 002; Mengjie Zhang 001 (CEC, 2021)

Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. - Ramya Anasseriyil Viswambaran; Gang Chen 002; Bing Xue 001; Mohammad Nekooei (CEC, 2021)

Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. - Yifan Yang 002; Gang Chen 002; Hui Ma 001; Mengjie Zhang 001; Victoria Huang 001 (CEC, 2021)

Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. - Yongbo Yu; Hui Ma 001; Gang Chen 002 (CEC, 2021)

Location-Aware and Budget-Constrained Service Brokering in Multi-Cloud via Deep Reinforcement Learning. - Tao Shi; Hui Ma 001; Gang Chen 002; Sven Hartmann (ICSOC, 2021)

Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking. - Victoria Huang 001; Gang Chen 002; Qiang Fu 011 (CoRR, 2021)

Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud. - Yuheng Chen; Tao Shi; Hui Ma 001; Gang Chen 002 (SCC, 2022)

Multi-objective Social Network Detection - A Graph Database Supported NSGA-II Based Approach. - Josh Trueman; Hui Ma 001; Aaron Chen 001; Sven Hartmann (ADC, 2022)

Accurate New Zealand Wildlife Image Classification-Deep Learning Approach. - Benjamin Curran; Seyed Mohammad Nekooei; Gang Chen 002 (AI, 2022)

Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing. - Kirita-Rose Escott; Hui Ma 001; Gang Chen 002 (AI, 2022)

Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection. - Anjali de Silva; Aaron Chen 001; Hui Ma 001; Mohammad Nekooei (AI, 2022)

Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach. - Yuguang Zhao; Gang Chen 002; Hui Ma 001; Xingquan Zuo; Guanqun Ai (AI, 2022)

Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. - Atiya Masood; Gang Chen 002; Yi Mei 001; Harith Al-Sahaf; Mengjie Zhang 001 (CEC, 2022)

A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment. - Yongbo Yu; Tao Shi; Hui Ma 001; Gang Chen 002 (CEC, 2022)

Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. - Victoria Huang 001; Chen Wang 013; Hui Ma 001; Gang Chen 002; Kameron Christopher (ICSOC, 2022)

Location-Aware Cloud Service Brokering in Multi-cloud Environment. - Tao Shi; Sven Hartmann; Gang Chen 002; Hui Ma 001 (ICSOC Workshops, 2022)

Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. - Yifan Yang 002; Gang Chen 002; Hui Ma 001; Mengjie Zhang 001 (ICSOC, 2022)

Deep Reinforcement Learning based dynamic optimization of bus timetable. - Guanqun Ai; Xingquan Zuo; Gang Chen 002; Binglin Wu (Appl. Soft Comput., 2022)

Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces. - Gang Chen 002; Victoria Huang 001 (CoRR, 2022)

Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell. - Dazzle Johnson; Gang Chen 002; Yuqian Lu (IEEE Robotics Autom. Lett., 2022)

Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Sven Hartmann (IEEE Trans. Evol. Comput., 2022)

Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Sven Hartmann; Jürgen Branke (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment. - Tao Shi; Hui Ma 001; Gang Chen 002; Sven Hartmann (IEEE Trans. Parallel Distributed Syst., 2022)

Priority-Based Selection of Individuals in Memetic Algorithms for Distributed Data-Intensive Web Service Compositions. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (IEEE Trans. Serv. Comput., 2022)

A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines. - Zhengxin Fang; Hui Ma 001; Gang Chen 002; Sven Hartmann (AI (2), 2023)

Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. - Victoria Huang 001; Chen Wang 013; Samik Datta; Bryce Chen; Gang Chen 002; Hui Ma 001 (AI (2), 2023)

Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling. - Atiya Masood; Gang Chen 002; Yi Mei 001; Harith Al-Sahaf; Mengjie Zhang 001 (AI (2), 2023)

IoT Service Composition - An Estimation of Distribution Algorithm with Adaptive Bias. - Fengyang Sun; Hui Ma 001; Gang Chen 002; Sven Hartmann (CEC, 2023)

A model-driven machine learning approach to dynamic multi-workflow scheduling. - Hui Ma 001; Sven Hartmann; Gang Chen 002; Yifan Yang 002 (ER (Companion), 2023)

Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing. - Kirita-Rose Escott; Hui Ma 001; Gang Chen 002 (EvoCOP, 2023)

Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning. - Yuheng Chen; Tao Shi; Hui Ma 001; Gang Chen 002 (EvoApplications@EvoStar, 2023)

A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling. - Amer T. Saeed; Gang Chen 002; Hui Ma 001; Qiang Fu 011 (EvoApplications@EvoStar, 2023)

Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Victoria Huang 001; Yongbo Yu; Kameron Christopher (EvoApplications@EvoStar, 2023)

Energy-Efficient and Communication-Aware Resource Allocation in Container-Based Cloud with Group Genetic Algorithm. - Zhengxin Fang; Hui Ma 001; Gang Chen 002; Sven Hartmann (ICSOC (1), 2023)

Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. - Gang Chen 002; Victoria Huang 001 (IJCAI, 2023)

Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks. - Anjali de Silva; Gang Chen 002; Hui Ma 001; Seyed Mohammad Nekooei (PRICAI (2), 2023)

Deep Metric Tensor Regularized Policy Gradient. - Gang Chen 002; Victoria Huang 001 (CoRR, 2023)

Learning to Solve Climate Sensor Placement Problems with a Transformer. - Chen Wang 013; Victoria Huang 001; Gang Chen 002; Hui Ma 001; Bryce Chen; Jochen Schmidt (CoRR, 2023)

Policy ensemble gradient for continuous control problems in deep reinforcement learning. - Guoqiang Liu; Gang Chen 002; Victoria Huang 001 (Neurocomputing, 2023)

Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition. - Chen Wang 013; Hui Ma 001; Gang Chen 002; Sven Hartmann (IEEE Trans. Evol. Comput., 2023)

Auto-Scaling Containerized Applications in Geo-Distributed Clouds. - Tao Shi; Hui Ma 001; Gang Chen 002; Sven Hartmann (IEEE Trans. Serv. Comput., 2023)

Multi-objective distributed Web service composition - A link-dominance driven evolutionary approach. - Soheila Sadeghiram; Hui Ma 001; Gang Chen 002 (Future Gener. Comput. Syst., 2023)

Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing. - Amer T. Saeed; Gang Chen 002; Hui Ma 001; Qiang Fu 011 (CLOUD, 2024)

Multi-Objective Optimization of Application Deployment Strategies in Integrated Cloud-Fog Computing Environments. - Zheng Han; Chen Wang 013; Zhengxin Fang; Hui Ma 001; Gang Chen 002 (SSE, 2024)

Population-Based Incremental Learning for Effective IoT Service Composition with Replication. - Fengyang Sun; Gang Chen 002; Hui Ma 001; Sven Hartmann (SSE, 2024)

Leveraging LLM in Genetic Programming Hyper-heuristics for Dynamic Microservice Deployment. - Zhengxin Fang; Hui Ma 001; Gang Chen 002; Sven Hartmann; Chen Wang 013 (AI (1), 2024)

Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. - Chen Wang 013; Erik Behrens; Hui Ma 001; Gang Chen 002; Victoria Huang 001 (AI (1), 2024)

Multi-Agent Scheduler for the Continuous Dynamic Flexible Job Shop Scheduling Problem. - Dazzle Johnson; Gang Chen 002; Yuqian Lu (CASE, 2024)

Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. - Ramya Anasseriyil Viswambaran; Mohammad Nekooei; Gang Chen 002; Bing Xue 001 (CEC, 2024)

Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. - Ramya Anasseriyil Viswambaran; Mohammad Nekooei; Gang Chen 002; Bing Xue 001 (CEC, 2024)

Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach. - Mathew Falloon; Hui Ma 001; Aaron Chen 001 (GECCO, 2024)

Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds. - Longfei Felix Yan 001; Hui Ma 001; Gang Chen 002 (GECCO, 2024)

Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis. - Yun Zhou; Gang Chen 002; Bing Xue 001; Mengjie Zhang 001; Jeremy S. Rooney; Kirill Lagutin; Andrew MacKenzie; Keith C. Gordon; Daniel P. Killeen (ICONIP (4), 2024)

Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement Learning. - Ya Shen; Gang Chen 002; Hui Ma 001; Mengjie Zhang 001 (ICSOC (2), 2024)

Multi-agent deep reinforcement learning based real-time planning approach for responsive customized bus routes. - Binglin Wu; Xingquan Zuo; Gang Chen 002; Guanqun Ai; Xing Wan (Comput. Ind. Eng., 2024)

Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling. - Yifan Yang 002; Aaron Chen 001; Hui Ma 001; Sven Hartmann; Mengjie Zhang 001 (Inf. Sci., 2024)

Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach. - Victoria Huang 001; Gang Chen 002; Xingquan Zuo; Albert Y. Zomaya; Nasrin Sohrabi; Zahir Tari; Qiang Fu 011 (IEEE Trans. Cybern., 2024)

Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization. - Yiming Peng; Gang Chen 002; Mengjie Zhang 001; Bing Xue 001 (Memetic Comput., 2024)

Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis. - Yun Zhou; Gang Chen 002; Bing Xue 001; Mengjie Zhang 001; Jeremy S. Rooney; Keith C. Gordon; Daniel P. Killeen (CEC, 2025)

A Communication-Aware and Energy-Efficient Genetic Programming Based Method for Dynamic Resource Allocation in Clouds. - Zhengxin Fang; Hui Ma 001; Gang Chen 002; Sven Hartmann; Shiping Chen 001 (EvoApplications (2), 2025)

Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem. - Yuquan Wang; Naiming Xie; Nanlei Chen; Hui Ma 001; Gang Chen 002 (IEEE Trans. Evol. Comput., 2025)

Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion. - Anjali de Silva; Gang Chen 002; Hui Ma 001; Seyed Mohammad Nekooei; Xingquan Zuo (CoRR, 2025)

GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy. - Ya Shen; Gang Chen 002; Hui Ma 001; Mengjie Zhang 001 (CoRR, 2025)

XRL-TO: An explainable reinforcement learning-based approach for bus timetable dynamic optimization. - Guanqun Ai; Xingquan Zuo; Gang Chen 002; Mengchu Zhou; Binglin Wu; Xinchao Zhao (Expert Syst. Appl., 2026)

Multi-objective IoT service composition with replication using memetic NSGA-II with bottleneck-driven local search. - Fengyang Sun; Gang Chen 002; Hui Ma 001; Sven Hartmann (Future Gener. Comput. Syst., 2026)