Gang Chen - RankMe

183 papers A* 4A 9B 40C 4Misc 4Journal 61Unranked 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A genetic algorithm with selective repair method under combined-criteria for deadline-constrained IoT workflow scheduling in Fog-Cloud computing. Future Gener. Comput. Syst. Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu
2026	J	`jnl`	A memetic-branch-and-price algorithm with conflict-minimizing selection strategy for bus scheduling problem. Appl. Soft Comput. Hongyi Shi, Xingquan Zuo, Gang Chen, Xinchao Zhao, Senyan Yang
2026	J	`jnl`	EIGA: A Novel Genetic Algorithm Based on Edge Information for Community Detection in Weighted Social Networks. IEEE Trans. Knowl. Data Eng. Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei
2026	J	`jnl`	HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-Based Cloud Computing. IEEE Trans. Serv. Comput. Zhengxin Fang, Hui Ma, Gang Chen, Rajkumar Buyya
2026	J	`jnl`	Multi-objective IoT service composition with replication using memetic NSGA-II with bottleneck-driven local search. Future Gener. Comput. Syst. Fengyang Sun, Gang Chen, Hui Ma, Sven Hartmann
2026	J	`jnl`	OMCR: An Online Multivariate Forecaster for Cloud Resource Management. IEEE Trans. Knowl. Data Eng. Xu Gao, Xiu Tang, Chang Yao, Sai Wu, Gongsheng Yuan, Wenchao Zhou, Feifei Li, Gang Chen
2026	J	`jnl`	STAR: Spatial-temporal autoscaling for cloud applications with deep reinforcement learning. Expert Syst. Appl. Zhengxin Fang, Hui Ma, Gang Chen, Shiping Chen
2026	J	`jnl`	XRL-TO: An explainable reinforcement learning-based approach for bus timetable dynamic optimization. Expert Syst. Appl. Guanqun Ai, Xingquan Zuo, Gang Chen, MengChu Zhou, Binglin Wu, Xinchao Zhao
2025	—	`conf`	A Communication-Aware and Energy-Efficient Genetic Programming Based Method for Dynamic Resource Allocation in Clouds. EvoApplications (2) Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann, Shiping Chen
2025	A*	`conf`	ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks. AAAI Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen
2025	A*	`conf`	Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion. IJCAI Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei, Xingquan Zuo
2025	J	`jnl`	Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion. CoRR Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei, Xingquan Zuo
2025	—	`conf`	CARGO-IoT: Cost-Aware Repair-Based Genetic Optimization for Budget-Constrained IoT Service Composition. PRICAI (4) Fengyang Sun, Gang Chen, Hui Ma, Sven Hartmann, Chen Wang
2025	J	`jnl`	Dual-Tree Genetic Programming with Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing. IEEE Trans. Evol. Comput. Yifan Yang, Gang Chen, Hui Ma, Sven Hartmann, Mengjie Zhang
2025	—	`conf`	ERL-BSA: Evolution Strategies-Enhanced Reinforcement Learning for Context-Aware and Workload Balanced Dynamic Bus Scheduling. PRICAI (4) Guanqun Ai, Haobo Zhang, Gang Chen, Hui Ma, Xingquan Zuo
2025	J	`jnl`	GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy. CoRR Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang
2025	J	`jnl`	Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem. IEEE Trans. Evol. Comput. Yuquan Wang, Naiming Xie, Nanlei Chen, Hui Ma, Gang Chen
2025	B	`conf`	Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis. CEC Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen
2025	J	`jnl`	HGraphScale: Hierarchical Graph Learning for Autoscaling Microservice Applications in Container-based Cloud Computing. CoRR Zhengxin Fang, Hui Ma, Gang Chen, Rajkumar Buyya
2025	A*	`conf`	TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack. ICML Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen
2024	J	`jnl`	ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks. CoRR Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen
2024	B	`conf`	Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. CEC Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue
2024	—	`conf`	Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. AI (1) Chen Wang, Erik Behrens, Hui Ma, Gang Chen, Victoria Huang
2024	—	`conf`	Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement Learning. ICSOC (2) Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang
2024	J	`jnl`	Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning. CoRR Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang
2024	B	`conf`	Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. CEC Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue
2024	B	`conf`	Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing. CLOUD Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu
2024	—	`conf`	Leveraging LLM in Genetic Programming Hyper-heuristics for Dynamic Microservice Deployment. AI (1) Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann, Chen Wang
2024	—	`conf`	Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis. ICONIP (4) Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2024	J	`jnl`	Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis. CoRR Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2024	—	`conf`	Multi-Agent Scheduler for the Continuous Dynamic Flexible Job Shop Scheduling Problem. CASE Dazzle Johnson, Gang Chen, Yuqian Lu
2024	—	`conf`	Multi-Objective Optimization of Application Deployment Strategies in Integrated Cloud-Fog Computing Environments. SSE Zheng Han, Chen Wang, Zhengxin Fang, Hui Ma, Gang Chen
2024	J	`jnl`	Multi-agent deep reinforcement learning based real-time planning approach for responsive customized bus routes. Comput. Ind. Eng. Binglin Wu, Xingquan Zuo, Gang Chen, Guanqun Ai, Xing Wan
2024	—	`conf`	Population-Based Incremental Learning for Effective IoT Service Composition with Replication. SSE Fengyang Sun, Gang Chen, Hui Ma, Sven Hartmann
2024	J	`jnl`	Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization. Memetic Comput. Yiming Peng, Gang Chen, Mengjie Zhang, Bing Xue
2024	A	`conf`	Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds. GECCO Longfei Felix Yan, Hui Ma, Gang Chen
2024	J	`jnl`	Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach. IEEE Trans. Cybern. Victoria Huang, Gang Chen, Xingquan Zuo, Albert Y. Zomaya, Nasrin Sohrabi, Zahir Tari, Qiang Fu
2023	—	`conf`	A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines. AI (2) Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann
2023	—	`conf`	A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling. EvoApplications@EvoStar Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu
2023	—	`conf`	A model-driven machine learning approach to dynamic multi-workflow scheduling. ER (Companion) Hui Ma, Sven Hartmann, Gang Chen, Yifan Yang
2023	J	`jnl`	Auto-Scaling Containerized Applications in Geo-Distributed Clouds. IEEE Trans. Serv. Comput. Tao Shi, Hui Ma, Gang Chen, Sven Hartmann
2023	B	`conf`	Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing. EvoCOP Kirita-Rose Escott, Hui Ma, Gang Chen
2023	J	`jnl`	Deep Metric Tensor Regularized Policy Gradient. CoRR Gang Chen, Victoria Huang
2023	—	`conf`	Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. EvoApplications@EvoStar Chen Wang, Hui Ma, Gang Chen, Victoria Huang, Yongbo Yu, Kameron Christopher
2023	—	`conf`	Energy-Efficient and Communication-Aware Resource Allocation in Container-Based Cloud with Group Genetic Algorithm. ICSOC (1) Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann
2023	A*	`conf`	Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. IJCAI Gang Chen, Victoria Huang
2023	—	`conf`	Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. AI (2) Victoria Huang, Chen Wang, Samik Datta, Bryce Chen, Gang Chen, Hui Ma
2023	—	`conf`	Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling. AI (2) Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang
2023	B	`conf`	IoT Service Composition - An Estimation of Distribution Algorithm with Adaptive Bias. CEC Fengyang Sun, Hui Ma, Gang Chen, Sven Hartmann
2023	J	`jnl`	Learning to Solve Climate Sensor Placement Problems with a Transformer. CoRR Chen Wang, Victoria Huang, Gang Chen, Hui Ma, Bryce Chen, Jochen Schmidt
2023	—	`conf`	Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks. PRICAI (2) Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei
2023	—	`conf`	Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning. EvoApplications@EvoStar Yuheng Chen, Tao Shi, Hui Ma, Gang Chen
2023	J	`jnl`	Multi-objective distributed Web service composition - A link-dominance driven evolutionary approach. Future Gener. Comput. Syst. Soheila Sadeghiram, Hui Ma, Gang Chen
2023	J	`jnl`	Policy ensemble gradient for continuous control problems in deep reinforcement learning. Neurocomputing Guoqiang Liu, Gang Chen, Victoria Huang
2023	J	`jnl`	Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition. IEEE Trans. Evol. Comput. Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
2022	B	`conf`	A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment. CEC Yongbo Yu, Tao Shi, Hui Ma, Gang Chen
2022	Misc	`conf`	Accurate New Zealand Wildlife Image Classification-Deep Learning Approach. AI Benjamin Curran, Seyed Mohammad Nekooei, Gang Chen
2022	—	`conf`	Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud. SCC Yuheng Chen, Tao Shi, Hui Ma, Gang Chen
2022	A	`conf`	Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. ICSOC Victoria Huang, Chen Wang, Hui Ma, Gang Chen, Kameron Christopher
2022	J	`jnl`	Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment. IEEE Trans. Parallel Distributed Syst. Tao Shi, Hui Ma, Gang Chen, Sven Hartmann
2022	J	`jnl`	Deep Reinforcement Learning based dynamic optimization of bus timetable. Appl. Soft Comput. Guanqun Ai, Xingquan Zuo, Gang Chen, Binglin Wu
2022	A	`conf`	Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. ICSOC Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang
2022	Misc	`conf`	Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach. AI Yuguang Zhao, Gang Chen, Hui Ma, Xingquan Zuo, Guanqun Ai
2022	B	`conf`	Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. CEC Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang
2022	J	`jnl`	Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces. CoRR Gang Chen, Victoria Huang
2022	—	`conf`	Location-Aware Cloud Service Brokering in Multi-cloud Environment. ICSOC Workshops Tao Shi, Sven Hartmann, Gang Chen, Hui Ma
2022	J	`jnl`	Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition. IEEE Trans. Evol. Comput. Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
2022	J	`jnl`	Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell. IEEE Robotics Autom. Lett. Dazzle Johnson, Gang Chen, Yuqian Lu
2022	J	`jnl`	Priority-Based Selection of Individuals in Memetic Algorithms for Distributed Data-Intensive Web Service Compositions. IEEE Trans. Serv. Comput. Soheila Sadeghiram, Hui Ma, Gang Chen
2022	J	`jnl`	Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures. IEEE Trans. Emerg. Top. Comput. Intell. Chen Wang, Hui Ma, Gang Chen, Sven Hartmann, Jürgen Branke
2022	Misc	`conf`	Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing. AI Kirita-Rose Escott, Hui Ma, Gang Chen
2021	B	`conf`	Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. CEC Yongbo Yu, Hui Ma, Gang Chen
2021	B	`conf`	Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. CEC Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang
2021	J	`jnl`	Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable. CoRR Guanqun Ai, Xingquan Zuo, Gang Chen, Binglin Wu
2021	B	`conf`	Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. CEC Atiya Masood, Gang Chen, Mengjie Zhang
2021	A	`conf`	Location-Aware and Budget-Constrained Service Brokering in Multi-Cloud via Deep Reinforcement Learning. ICSOC Tao Shi, Hui Ma, Gang Chen, Sven Hartmann
2021	J	`jnl`	Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking. CoRR Victoria Huang, Gang Chen, Qiang Fu
2021	B	`conf`	Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. CEC Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
2020	—	`conf`	A Distance-based Genetic Algorithm for Robust Data-intensive Web Service Composition in Dynamic Bandwidth Environment. SCC Soheila Sadeghiram, Hui Ma, Gang Chen
2020	B	`conf`	A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. CEC Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang
2020	—	`conf`	A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud. SSCI Kirita-Rose Escott, Hui Ma, Gang Chen
2020	A	`conf`	A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. AAMAS Gang Chen
2020	—	`conf`	A Novel Repair-Based Multi-objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition. WISE (1) Soheila Sadeghiram, Hui Ma, Gang Chen
2020	J	`jnl`	A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency. IEEE Trans. Netw. Serv. Manag. Victoria Huang, Gang Chen, Peng Zhang, Hao Li, Chengchen Hu, Tian Pan, Qiang Fu
2020	—	`conf`	A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition. SSCI Soheila Sadeghiram, Hui Ma, Gang Chen
2020	B	`conf`	Achieving IoT Devices Secure Sharing in Multi-User Smart Space. LCN Mohammed Al-Shaboti, Gang Chen, Ian Welch
2020	J	`jnl`	Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks. IEEE Trans. Emerg. Top. Comput. Intell. Seyed Mohammad Nekooei, Gang Chen
2020	—	`conf`	Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment. GECCO Companion Tao Shi, Hui Ma, Gang Chen
2020	B	`conf`	Effective Linear Policy Gradient Search through Primal-Dual Approximation. IJCNN Yiming Peng, Gang Chen, Mengjie Zhang
2020	—	`conf`	Evolutionary Design of Long Short Term Memory (LSTM) Ensemble. SSCI Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
2020	B	`conf`	Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. CEC Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
2020	—	`conf`	Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud. DEXA (2) Kirita-Rose Escott, Hui Ma, Gang Chen
2020	A	`conf`	Location-Aware and Budget-Constrained Application Replication and Deployment in Multi-Cloud Environment. ICWS Tao Shi, Hui Ma, Gang Chen, Sven Hartmann
2020	J	`jnl`	Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment. IEEE Trans. Parallel Distributed Syst. Tao Shi, Hui Ma, Gang Chen, Sven Hartmann
2020	—	`conf`	QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method. GECCO Companion Soheila Sadeghiram, Hui Ma, Gang Chen
2020	—	`conf`	Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment. SCC Tao Shi, Hui Ma, Gang Chen
2019	—	`conf`	A Genetic-Based Approach to Location-Aware Cloud Service Brokering in Multi-Cloud Environment. SCC Tao Shi, Hui Ma, Gang Chen
2019	J	`jnl`	A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. CoRR Gang Chen
2019	B	`conf`	A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment. CEC Tao Shi, Hui Ma, Gang Chen
2019	—	`conf`	A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition. GECCO (Companion) Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
2019	—	`conf`	A memetic algorithm with distance-guided crossover: distributed data-intensive web service composition. GECCO (Companion) Soheila Sadeghiram, Hui Ma, Gang Chen
2019	B	`conf`	Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. CEC Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
2019	—	`conf`	Composing Distributed Data-Intensive Web Services Using Distance-Guided Memetic Algorithm. DEXA (2) Soheila Sadeghiram, Hui Ma, Gang Chen
2019	B	`conf`	Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. CEC Soheila Sadeghiram, Hui Ma, Gang Chen
2019	J	`jnl`	Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. CoRR Soheila Sadeghiram, Hui Ma, Gang Chen
2019	J	`jnl`	Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition. CoRR Soheila Sadeghiram, Hui Ma, Gang Chen
2019	—	`conf`	Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning. ICC Victoria Huang, Gang Chen, Qiang Fu
2019	J	`jnl`	Effective Scheduling Function Design in SDN through Deep Reinforcement Learning. CoRR Victoria Huang, Gang Chen, Qiang Fu
2019	B	`conf`	Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. CEC Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei
2019	B	`conf`	Evolutionary Multitasking for Semantic Web Service Composition. CEC Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
2019	J	`jnl`	Evolutionary Multitasking for Semantic Web Service Composition. CoRR Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
2019	—	`conf`	Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. Australasian Conference on Artificial Intelligence Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang
2019	J	`jnl`	Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition. CoRR Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
2019	J	`jnl`	Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. CoRR Gang Chen, Yiming Peng
2019	B	`conf`	Optimizing Controller Placement for Distributed Software-Defined Networks. IM Guiying Huang, Gang Chen, Qiang Fu, Elliott Wen
2019	J	`jnl`	Optimizing Controller Placement for Software-Defined Networks. CoRR Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen
2019	—	`conf`	Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm. Australasian Conference on Artificial Intelligence Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
2019	—	`conf`	Using EDA-Based Local Search to Improve the Performance of NSGA-II for Multiobjective Semantic Web Service Composition. DEXA (2) Chen Wang, Hui Ma, Gang Chen
2018	—	`conf`	Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III. Australasian Conference on Artificial Intelligence Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang
2018	J	`jnl`	An Adaptive Clipping Approach for Proximal Policy Optimization. CoRR Gang Chen, Yiming Peng, Mengjie Zhang
2018	J	`jnl`	An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Appl. Soft Comput. John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
2018	B	`conf`	Cluster-Guided Genetic Algorithm for Distributed Data-intensive Web Service Composition. CEC Soheila Sadeghiram, Hui Ma, Gang Chen
2018	B	`conf`	Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. IJCNN Gang Chen, Yiming Peng, Mengjie Zhang
2018	—	`conf`	EDA-based approach to comprehensive quality-aware automated semantic web service composition. GECCO (Companion) Chen Wang, Hui Ma, Gang Chen
2018	J	`jnl`	Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. CoRR Gang Chen, Yiming Peng, Mengjie Zhang
2018	B	`conf`	Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers. CEC Tao Shi, Hui Ma, Gang Chen
2018	—	`conf`	Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. Australasian Conference on Artificial Intelligence John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
2018	B	`conf`	Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. EuroGP John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
2018	—	`conf`	Multi-objective Container Consolidation in Cloud Data Centers. Australasian Conference on Artificial Intelligence Tao Shi, Hui Ma, Gang Chen
2018	A	`conf`	NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. GECCO Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang
2018	B	`conf`	Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. EvoCOP Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang
2018	—	`conf`	Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. PPSN (2) Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
2018	—	`conf`	Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm. Australasian Conference on Artificial Intelligence Chen Wang, Hui Ma, Gang Chen, Sven Hartmann
2017	—	`conf`	A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. ACALCI Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang
2017	B	`conf`	A sandpile model for reliable actor-critic reinforcement learning. IJCNN Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
2017	—	`conf`	Automated state feature learning for actor-critic reinforcement learning through NEAT. GECCO (Companion) Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang
2017	J	`jnl`	Automatic design of fuzzy logic controllers for medium access control in wireless body area networks - An evolutionary approach. Appl. Soft Comput. Seyed Mohammad Nekooei, Gang Chen, Ramesh Kumar Rayudu
2017	B	`conf`	BLAC: A Bindingless Architecture for Distributed SDN Controllers. LCN Victoria Huang, Qiang Fu, Gang Chen, Elliott Wen, Jonathan Hart
2017	—	`conf`	Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks. SEAL Seyed Mohammad Nekooei, Gang Chen, Ramesh Kumar Rayudu
2017	—	`conf`	Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. SEAL Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei
2017	—	`conf`	Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Australasian Conference on Artificial Intelligence Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang
2017	B	`conf`	Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. CEC Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
2017	B	`conf`	Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. CEC Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, Mengjie Zhang
2017	—	`conf`	Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. ACALCI John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang
2017	A	`conf`	Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. GECCO Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
2016	J	`jnl`	Accuracy-Based Learning Classifier Systems for Multistep Reinforcement Learning: A Fuzzy Logic Approach to Handling Continuous Inputs and Learning Continuous Actions. IEEE Trans. Evol. Comput. Gang Chen, Colin I. J. Douch, Mengjie Zhang
2016	B	`conf`	An XCS-based algorithm for multi-objective reinforcement learning. CEC Xiu Cheng, Gang Chen, Mengjie Zhang
2016	B	`conf`	Evolutionary design of fuzzy logic controllers for medium access control in WBAN. CEC Seyed Mohammad Nekooei, Gang Chen, Ramesh Kumar Rayudu
2016	—	`conf`	Generalized Compatible Function Approximation for Policy Gradient Search. ICONIP (1) Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
2016	B	`conf`	Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. EuroGP John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang
2016	J	`jnl`	Guest editorial: special issue on evolutionary optimization, feature reduction and learning. Soft Comput. Bing Xue, Gang Chen
2016	B	`conf`	Many-objective genetic programming for job-shop scheduling. CEC Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang
2016	—	`conf`	Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. GECCO (Companion) John Park, Yi Mei, Gang Chen, Mengjie Zhang
2016	—	`conf`	Parallel Multi-objective Job Shop Scheduling Using Genetic Programming. ACALCI Deepak Karunakaran, Gang Chen, Mengjie Zhang
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang
2015	B	`conf`	A fuzzy logic based cross-layer mechanism for medium access control in WBAN. PIMRC Seyed Mohammad Nekooei, Gang Chen, Ramesh Kumar Rayudu
2015	—	`conf`	Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems. ICONIP (2) Gang Chen, Colin Douch, Mengjie Zhang, Shaoning Pang
2015	J	`jnl`	Using Learning Classifier Systems to Learn Stochastic Decision Policies. IEEE Trans. Evol. Comput. Gang Chen, Colin I. J. Douch, Mengjie Zhang
2014	—	`conf`	Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution. ICONIP (3) Sreenivas Sremath Tirumala, Gang Chen, Shaoning Pang
2014	—	`conf`	Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method. ICONIP (3) Gang Chen, Mengjie Zhang, Shaoning Pang, Colin Douch
2013	—	`conf`	An incremental learning approach to continuous image change detection. FSKD Lei Song, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
2013	B	`conf`	Chunk incremental IDR/QR LDA learning. IJCNN Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
2013	J	`jnl`	Dynamic class imbalance learning for incremental LPSVM. Neural Networks Shaoning Pang, Lei Zhu, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
2013	B	`conf`	Quantifying selfishness and fairness in wireless multihop networks. LCN Normalia Samian, Winston Khoon Guan Seah, Gang Chen
2013	J	`jnl`	Service Provision Control in Federated Service Providing Systems. IEEE Trans. Parallel Distributed Syst. Gang Chen, Abdolhossein Sarrafzadeh, Shaoning Pang
2012	B	`conf`	Class imbalance robust incremental LPSVM for data streams learning. IJCNN Lei Zhu, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh
2012	—	`conf`	SDE-Driven Service Provision Control. ICONIP (1) Gang Chen, Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
2011	Misc	`conf`	Designing games to educate diabetic children. OZCHI Gang Chen, Nilufar Baghaei, Abdolhossein Sarrafzadeh, Chris Manford, Steve Marshall, Gudrun Court
2010	J	`jnl`	A self-organization mechanism based on cross-entropy method for P2P-like applications. ACM Trans. Auton. Adapt. Syst. Gang Chen, Abdolhossein Sarrafzadeh, Chor Ping Low, Liang Zhang
2009	J	`jnl`	Preserving and Exploiting Genetic Diversity in Evolutionary Programming Algorithms. IEEE Trans. Evol. Comput. Gang Chen, Chor Ping Low, Zhonghua Yang
2008	—	`conf`	Ant Colony Inspired Self-Healing for Resource Allocation in Service-Oriented Environment Considering Resource Breakdown. Web Intelligence Rong Zhou, Ren Wei, Gang Chen, Zhonghua Yang, Haifeng Shen, Jing-Bing Zhang, Ming Luo
2008	J	`jnl`	Coordinated Services Provision in Peer-to-Peer Environments. IEEE Trans. Parallel Distributed Syst. Gang Chen, Chor Ping Low, Zhonghua Yang
2008	—	`conf`	Dynamic Self-Healing for Service Flows with Semantic Web Services. Web Intelligence Wei Ren, Gang Chen, Haifeng Shen, Zhonghua Yang, Jing-Bing Zhang, Chor Ping Low, David Chen, Chengzheng Sun
2008	J	`jnl`	Enhancing Search Performance in Unstructured P2P Networks Based on Users' Common Interest. IEEE Trans. Parallel Distributed Syst. Gang Chen, Chor Ping Low, Zhonghua Yang
2008	C	`conf`	Self-organized manufacturing resource management: An ant-colony inspired approach. ICARCV Rong Zhou, Gang Chen, Zhonghua Yang, Ming Luo, Jing-Bing Zhang, Chak-Huah Tan
2008	C	`conf`	Semantic enhanced rule driven workflow execution in Collaborative Virtual Enterprise. ICARCV Wei Ren, Gang Chen, Zhonghua Yang, Junhong Zhou, Jing-Bing Zhang, Chor Ping Low, David Chen, Chengzheng Sun
2007	—	`conf`	Extremal search of decision policies for scalable distributed applications. Infoscale Gang Chen, Chor Ping Low, Zhonghua Yang
2006	J	`jnl`	Coordinating Agents in Shop Floor Environments From a Dynamic Systems Perspective. IEEE Trans. Ind. Informatics Gang Chen, Zhonghua Yang, Chor Ping Low
2005	J	`jnl`	Coordinating Multiple Agents via Reinforcement Learning. Auton. Agents Multi Agent Syst. Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh
2005	J	`jnl`	Maintaining System State Information in a Multiagent Environment for Effective Learning. IEICE Trans. Inf. Syst. Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh
2004	C	`conf`	Agent-Mediated Genetic Super-Scheduling in Grid Environments. PDCAT Gang Chen, Zhonghua Yang, Simon See, Jie Song
2003	A	`conf`	Multi-agent coordination: a fuzzy logic based approach. AAMAS Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh
2002	B	`conf`	Coordinating Multi-Agents using JavaSpaces. ICPADS Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh