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Yue-Jiao Gong
Person information
- unicode name: 龚月姣
- affiliation: South China University of Technology, School of Computer Science and Engineering, angzhou, China
- affiliation (PhD 2014): Sun Yat-sen University, China
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2020 – today
- 2024
- [j73]Si-chao Lei, Xiaolin Xiao, Yue-Jiao Gong, Yun Li, Jun Zhang:
Tensorial Evolutionary Computation for Spatial Optimization Problems. IEEE Trans. Artif. Intell. 5(1): 154-166 (2024) - [j72]Zhichang Xia, Xinglin Zhang, Lingyu Liang, Yun Li, Yuejiao Gong:
Federated Graph Augmentation for Semisupervised Node Classification. IEEE Trans. Comput. Soc. Syst. 11(3): 3232-3242 (2024) - [j71]Jun-Xian Chen, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang:
EvoS&R: Evolving Multiple Seeds and Radii for Varying Density Data Clustering. IEEE Trans. Knowl. Data Eng. 36(5): 1964-1978 (2024) - [j70]Si-chao Lei, Yue-Jiao Gong, Xiaolin Xiao, Yicong Zhou, Jun Zhang:
Boosting Diversity in Visual Search with Pareto Non-Dominated Re-Ranking. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 79:1-79:23 (2024) - [j69]Si-chao Lei, Yue-Jiao Gong, Xiaolin Xiao, Yicong Zhou, Jun Zhang:
Tensorial Evolutionary Optimization for Natural Image Matting. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 194:1-194:23 (2024) - [j68]Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong:
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 54(7): 4247-4259 (2024) - [j67]Tai-You Chen, Wei-Neng Chen, Xiao-Qi Guo, Yue-Jiao Gong, Jun Zhang:
A Multiagent Co-Evolutionary Algorithm With Penalty-Based Objective for Network-Based Distributed Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54(7): 4358-4370 (2024) - [c56]Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong:
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. GECCO 2024 - [c55]Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong:
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. GECCO 2024 - [c54]Yuanting Zhong, Xincan Wang, Yuhong Sun, Yue-Jiao Gong:
SDDObench: A Benchmark for Streaming Data-Driven Optimization with Concept Drift. GECCO 2024 - [c53]Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong:
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. ICLR 2024 - [i11]Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang, Yue-Jiao Gong:
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning. CoRR abs/2402.02355 (2024) - [i10]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Guojun Peng, Zhiguang Cao, Yining Ma, Yue-Jiao Gong:
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation. CoRR abs/2403.01131 (2024) - [i9]Hongshu Guo, Yining Ma, Zeyuan Ma, Jiacheng Chen, Xinglin Zhang, Zhiguang Cao, Jun Zhang, Yue-Jiao Gong:
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution. CoRR abs/2403.02131 (2024) - [i8]Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yining Ma, Yue-Jiao Gong:
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning. CoRR abs/2404.08239 (2024) - [i7]Hongqiao Lian, Zeyuan Ma, Hongshu Guo, Ting Huang, Yue-Jiao Gong:
RLEMMO: Evolutionary Multimodal Optimization Assisted By Deep Reinforcement Learning. CoRR abs/2404.08242 (2024) - [i6]Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao Gong:
Neural Exploratory Landscape Analysis. CoRR abs/2408.10672 (2024) - 2023
- [j66]Tuo-Bin Yu, Yu-Hui Zhang, Yue-Jiao Gong, Yuan Li:
Locality sensitive hashing-driven multifactorial evolutionary algorithms for multitask optimization. Appl. Soft Comput. 132: 109827 (2023) - [j65]Si-chao Lei, Xing Tian, Wing W. Y. Ng, Yue-Jiao Gong:
Length adaptive hashing for semi-supervised semantic image retrieval. Multim. Tools Appl. 82(24): 38165-38187 (2023) - [j64]Yue-Jiao Gong, Jian-Xiong Guo, Da-Lue Lin, Yuan-Lin Zuo, Jun-Chao Liang, Linjun Luo, Xian-Xin Shao, Chao Zhou, Meng-Ting Li:
Automated Team Assembly in Mobile Games: A Data-Driven Evolutionary Approach Using a Deep Learning Surrogate. IEEE Trans. Games 15(1): 67-80 (2023) - [j63]Hao-Gan Huang, Yue-Jiao Gong:
Contrastive Learning: An Alternative Surrogate for Offline Data-Driven Evolutionary Computation. IEEE Trans. Evol. Comput. 27(2): 370-384 (2023) - [j62]Yue-Jiao Gong, Ting Huang, Yining Ma, Sang-Woon Jeon, Jun Zhang:
MTrajPlanner: A Multiple-Trajectory Planning Algorithm for Autonomous Underwater Vehicles. IEEE Trans. Intell. Transp. Syst. 24(4): 3714-3727 (2023) - [j61]Wanyi Zhou, Xiaolin Xiao, Yue-Jiao Gong, Jia Chen, Jun Fang, Naiqiang Tan, Nan Ma, Qun Li, Hua Chai, Sang-Woon Jeon, Jun Zhang:
Travel Time Distribution Estimation by Learning Representations Over Temporal Attributed Graphs. IEEE Trans. Intell. Transp. Syst. 24(5): 5069-5081 (2023) - [c52]Jiezhang Li, Yue-Jiao Gong, Ting Huang, Wei-Neng Chen:
DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation. ICONIP (14) 2023: 217-229 - [c51]Si-chao Lei, Hongshu Guo, Xiaolin Xiao, Yue-Jiao Gong, Jun Zhang:
A High-Performance Tensorial Evolutionary Computation for Solving Spatial Optimization Problems. ICONIP (7) 2023: 340-351 - [c50]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao:
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. NeurIPS 2023 - [i5]Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR abs/2303.07758 (2023) - [i4]Zeyuan Ma, Hongshu Guo, Jiacheng Chen, Zhenrui Li, Guojun Peng, Yue-Jiao Gong, Yining Ma, Zhiguang Cao:
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning. CoRR abs/2310.08252 (2023) - 2022
- [j60]Xian-Xin Shao, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang:
Bipartite Cooperative Coevolution for Energy-Aware Coverage Path Planning of UAVs. IEEE Trans. Artif. Intell. 3(1): 29-42 (2022) - [j59]Ting Huang, Yue-Jiao Gong, Wei-Neng Chen, Hua Wang, Jun Zhang:
A Probabilistic Niching Evolutionary Computation Framework Based on Binary Space Partitioning. IEEE Trans. Cybern. 52(1): 51-64 (2022) - [j58]Tingyang Wei, Wei-Li Liu, Jinghui Zhong, Yue-Jiao Gong:
Multiclass Classification on High Dimension and Low Sample Size Data Using Genetic Programming. IEEE Trans. Emerg. Top. Comput. 10(2): 704-718 (2022) - [c49]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee:
Efficient Neural Neighborhood Search for Pickup and Delivery Problems. IJCAI 2022: 4776-4784 - [c48]Zebin Chen, Xiaolin Xiao, Yue-Jiao Gong, Jun Fang, Nan Ma, Hua Chai, Zhiguang Cao:
Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival. KDD 2022: 2771-2779 - [i3]Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, Yuejiao Gong, Yeow Meng Chee:
Efficient Neural Neighborhood Search for Pickup and Delivery Problems. CoRR abs/2204.11399 (2022) - [i2]Jiezhang Li, Junjun Li, Yue-Jiao Gong:
Multi-task Learning for Sparse Traffic Forecasting. CoRR abs/2211.09984 (2022) - 2021
- [j57]Yuan Li, Ni Zhang, Yuejiao Gong, Wentao Mao, Shiguang Zhang:
Three-Dimensional Elastodynamic Analysis Employing Partially Discontinuous Boundary Elements. Algorithms 14(5): 129 (2021) - [j56]Jun-Xian Chen, Yue-Jiao Gong, Wei-Neng Chen, Mengting Li, Jun Zhang:
Elastic Differential Evolution for Automatic Data Clustering. IEEE Trans. Cybern. 51(8): 4134-4147 (2021) - [j55]Zong-Gan Chen, Ying Lin, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang:
Maximizing Lifetime of Range-Adjustable Wireless Sensor Networks: A Neighborhood-Based Estimation of Distribution Algorithm. IEEE Trans. Cybern. 51(11): 5433-5444 (2021) - [j54]Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou:
Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction. IEEE Trans. Image Process. 30: 108-120 (2021) - [j53]Xiaolin Xiao, Yue-Jiao Gong, Zhongyun Hua, Wei-Neng Chen:
On Reliable Multi-View Affinity Learning for Subspace Clustering. IEEE Trans. Multim. 23: 4555-4566 (2021) - [j52]Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou:
Prior Knowledge Regularized Multiview Self-Representation and its Applications. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1325-1338 (2021) - [j51]Yue-Jiao Gong, Yi-Wen Liu, Ying Lin, Wei-Neng Chen, Jun Zhang:
Real-Time Taxi-Passenger Matching Using a Differential Evolutionary Fuzzy Controller. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 2712-2725 (2021) - [c47]Zeyuan Ma, Hongshu Guo, Yinxuan Gui, Yue-Jiao Gong:
An efficient computational approach for automatic itinerary planning on web servers. GECCO 2021: 991-999 - [c46]Jiezhang Li, Wanyi Zhou, Zebin Chen, Yue-Jiao Gong:
Geo-Attention Network for Traffic Condition Prediction and Travel Time Estimation. SIGSPATIAL/GIS 2021: 654-657 - [c45]Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) 2021: 251-278 - [c44]Wei-Li Liu, Yue-Jiao Gong, Wei-Neng Chen, Jinghu Zhong, Sang-Woon Jean, Jun Zhang:
Heterogeneous Multiobjective Differential Evolution for Electric Vehicle Charging Scheduling. SSCI 2021: 1-8 - 2020
- [j50]Wei-Li Liu, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang:
EvoTSC: An evolutionary computation-based traffic signal controller for large-scale urban transportation networks. Appl. Soft Comput. 97(Part B): 106640 (2020) - [j49]Ting Huang, Dan-Ting Duan, Yue-Jiao Gong, Long Ye, Wing W. Y. Ng, Jun Zhang:
Concurrent optimization of multiple base learners in neural network ensembles: An adaptive niching differential evolution approach. Neurocomputing 396: 24-38 (2020) - [j48]Yu-Hui Zhang, Yue-Jiao Gong, Ying Gao, Hua Wang, Jun Zhang:
Parameter-Free Voronoi Neighborhood for Evolutionary Multimodal Optimization. IEEE Trans. Evol. Comput. 24(2): 335-349 (2020) - [j47]Ting Huang, Yue-Jiao Gong, Sam Kwong, Hua Wang, Jun Zhang:
A Niching Memetic Algorithm for Multi-Solution Traveling Salesman Problem. IEEE Trans. Evol. Comput. 24(3): 508-522 (2020) - [j46]An Song, Wei-Neng Chen, Yue-Jiao Gong, Xiaonan Luo, Jun Zhang:
A Divide-and-Conquer Evolutionary Algorithm for Large-Scale Virtual Network Embedding. IEEE Trans. Evol. Comput. 24(3): 566-580 (2020) - [j45]Xiaolin Xiao, Yongyong Chen, Yue-Jiao Gong, Yicong Zhou:
2D Quaternion Sparse Discriminant Analysis. IEEE Trans. Image Process. 29: 2271-2286 (2020) - [j44]Ting Huang, Yue-Jiao Gong, Yu-Hui Zhang, Zhi-Hui Zhan, Jun Zhang:
Automatic Planning of Multiple Itineraries: A Niching Genetic Evolution Approach. IEEE Trans. Intell. Transp. Syst. 21(10): 4225-4240 (2020) - [j43]Wei-Li Liu, Yue-Jiao Gong, Wei-Neng Chen, Zhiqin Liu, Hua Wang, Jun Zhang:
Coordinated Charging Scheduling of Electric Vehicles: A Mixed-Variable Differential Evolution Approach. IEEE Trans. Intell. Transp. Syst. 21(12): 5094-5109 (2020) - [c43]Ting Huang, Yue-Jiao Gong, Xiaoyan Li, Xiao-Min Hu, Jun Zhang:
Niching Evolutionary Computation With a Priori Estimate for Solving Multi-Solution Traveling Salesman Problem. CEC 2020: 1-6 - [c42]Senhua Zhao, Yue-Jiao Gong, Xiaolin Xiao:
Multi-strategy Evolutionary Computation for Automated Jigsaw Puzzles. ICONIP (2) 2020: 50-62 - [c41]Xiaoling Zhang, Yue-Jiao Gong, Xiaolin Xiao:
Adaptively Transferring Deep Neural Networks with a Hybrid Evolution Strategy. SMC 2020: 1068-1074 - [c40]Ying Wang, Yuan Li, Yue-Jiao Gong:
Enhancing the Performance of Evolutionary Clustering by Genetic Sequence Resorting. SMC 2020: 2535-2540
2010 – 2019
- 2019
- [j42]Xinyuan Zhang, Yue-Jiao Gong, Yuren Zhou, Ying Lin:
A Distributed Coevolution Algorithm for Black Box Optimization of Demand Response. IEEE Access 7: 51994-52006 (2019) - [j41]Rui You, Wei-Neng Chen, An Song, Jinghui Zhong, Yue-Jiao Gong:
Multi-objective Genetic Algorithm for Continuous Network Design Problems. Aust. J. Intell. Inf. Process. Syst. 16(1): 36-44 (2019) - [j40]Yu-Hui Zhang, Yue-Jiao Gong, Tianlong Gu, Jun Zhang:
Ensemble mating selection in evolutionary many-objective search. Appl. Soft Comput. 76: 294-312 (2019) - [j39]Yu-Hui Zhang, Yue-Jiao Gong, Huaqiang Yuan, Jun Zhang:
A tree-structured random walking swarm optimizer for multimodal optimization. Appl. Soft Comput. 78: 94-108 (2019) - [j38]Yingjie Wang, Zhipeng Cai, Zhi-Hui Zhan, Yue-Jiao Gong, Xiangrong Tong:
An Optimization and Auction-Based Incentive Mechanism to Maximize Social Welfare for Mobile Crowdsourcing. IEEE Trans. Comput. Soc. Syst. 6(3): 414-429 (2019) - [j37]Yu-Hui Zhang, Yue-Jiao Gong, Tianlong Gu, Huaqiang Yuan, Wei Zhang, Sam Kwong, Jun Zhang:
DECAL: Decomposition-Based Coevolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Cybern. 49(1): 27-41 (2019) - [j36]Ying Lin, Ye-shi Jiang, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang:
A Discrete Multiobjective Particle Swarm Optimizer for Automated Assembly of Parallel Cognitive Diagnosis Tests. IEEE Trans. Cybern. 49(7): 2792-2805 (2019) - [j35]Zong-Gan Chen, Zhi-Hui Zhan, Ying Lin, Yue-Jiao Gong, Tianlong Gu, Feng Zhao, Huaqiang Yuan, Xiaofeng Chen, Qing Li, Jun Zhang:
Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach. IEEE Trans. Cybern. 49(8): 2912-2926 (2019) - [j34]Xin-yuan Zhang, Yue-Jiao Gong, Ying Lin, Jie Zhang, Sam Kwong, Jun Zhang:
Dynamic Cooperative Coevolution for Large Scale Optimization. IEEE Trans. Evol. Comput. 23(6): 935-948 (2019) - [j33]Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong:
RGB-'D' Saliency Detection With Pseudo Depth. IEEE Trans. Image Process. 28(5): 2126-2139 (2019) - [j32]Yu-Hui Zhang, Yue-Jiao Gong, Wei-Neng Chen, Tianlong Gu, Huaqiang Yuan, Jun Zhang:
A Dual-Colony Ant Algorithm for the Receiving and Shipping Door Assignments in Cross-Docks. IEEE Trans. Intell. Transp. Syst. 20(7): 2523-2539 (2019) - [j31]Xiao-Fang Liu, Zhi-Hui Zhan, Ying Lin, Wei-Neng Chen, Yue-Jiao Gong, Tianlong Gu, Huaqiang Yuan, Jun Zhang:
Historical and Heuristic-Based Adaptive Differential Evolution. IEEE Trans. Syst. Man Cybern. Syst. 49(12): 2623-2635 (2019) - [j30]Yining Ma, Yue-Jiao Gong, Chu-Feng Xiao, Ying Gao, Jun Zhang:
Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone. IEEE Trans. Veh. Technol. 68(1): 141-154 (2019) - [c39]Rui You, Wei-Neng Chen, Yue-Jiao Gong, Ying Lin, Jun Zhang:
A Histogram Estimation of Distribution Algorithm for Reversible Lanes Optimization Problems. CEC 2019: 1960-1966 - 2018
- [j29]Wei-jie Yu, Jing-Yu Ji, Yue-Jiao Gong, Qiang Yang, Jun Zhang:
A tri-objective differential evolution approach for multimodal optimization. Inf. Sci. 423: 1-23 (2018) - [j28]Jing-Yu Ji, Wei-jie Yu, Yue-Jiao Gong, Jun Zhang:
Multiobjective optimization with ϵ-constrained method for solving real-parameter constrained optimization problems. Inf. Sci. 467: 15-34 (2018) - [j27]Yong-Feng Ge, Wei-jie Yu, Ying Lin, Yue-Jiao Gong, Zhi-Hui Zhan, Wei-Neng Chen, Jun Zhang:
Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization. IEEE Trans. Cybern. 48(7): 2166-2180 (2018) - [j26]Yue-Jiao Gong, Yicong Zhou:
Differential Evolutionary Superpixel Segmentation. IEEE Trans. Image Process. 27(3): 1390-1404 (2018) - [j25]Xiaolin Xiao, Yicong Zhou, Yue-Jiao Gong:
Content-Adaptive Superpixel Segmentation. IEEE Trans. Image Process. 27(6): 2883-2896 (2018) - [j24]Yue-Jiao Gong, En Chen, Xinglin Zhang, Lionel M. Ni, Jun Zhang:
AntMapper: An Ant Colony-Based Map Matching Approach for Trajectory-Based Applications. IEEE Trans. Intell. Transp. Syst. 19(2): 390-401 (2018) - [j23]Yue-Jiao Gong, Jun Zhang, Yicong Zhou:
Learning Multimodal Parameters: A Bare-Bones Niching Differential Evolution Approach. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2944-2959 (2018) - [c38]Xin-Chi Han, Hao-Wen Ke, Yue-Jiao Gong, Ying Lin, Wei-Li Liu, Jun Zhang:
Multimodal optimization of traveling salesman problem: a niching ant colony system. GECCO (Companion) 2018: 87-88 - [c37]Zihui Wu, Ying Lin, Yue-jiao Gong, Zhengjia Dai, Jun Zhang:
A novel genetic algorithm for lifetime maximization of wireless sensor networks with adjustable sensing range. GECCO (Companion) 2018: 312-313 - [c36]Xin-Yi Hu, Yue-Jiao Gong, Xin-yuan Zhang, Yining Ma, Jun Zhang:
Video Server Deployment Using a Genetic Algorithm with Deterministic Initialization Strategy. ISNN 2018: 459-467 - [c35]Yi-Bin Cheng, Ting Huang, Huntley Ting Huang, Yue-Jiao Gong, Jun Zhang:
Multi-Population Ant Colony System for Multiple Path Planning of Food Delivery Applications. SSCI 2018: 68-73 - [c34]Ting Huang, Yue-Jiao Gong, Jun Zhang:
Seeking Multiple Solutions of Combinatorial optimization Problems: A Proof of Principle Study. SSCI 2018: 1212-1218 - 2017
- [j22]Jing-Jing Li, Farrikh Alzami, Yue-Jiao Gong, Zhiwen Yu:
A Multi-Label Learning Method Using Affinity Propagation and Support Vector Machine. IEEE Access 5: 2955-2966 (2017) - [j21]Ying Lin, Yue-Jiao Gong, Jun Zhang:
An adaptive ant colony optimization algorithm for constructing cognitive diagnosis tests. Appl. Soft Comput. 52: 1-13 (2017) - [j20]Yu-Hui Zhang, Yue-Jiao Gong, Tianlong Gu, Yun Li, Jun Zhang:
Flexible genetic algorithm: A simple and generic approach to node placement problems. Appl. Soft Comput. 52: 457-470 (2017) - [j19]Yue-Jiao Gong, Yong-Feng Ge, Jing-Jing Li, Jun Zhang, W. H. Ip:
Corrigendum to "A splicing-driven memetic algorithm for reconstructing cross-cut shredded text documents" [Applied Soft Computing, 45 (2016), 163-172]. Appl. Soft Comput. 53: 284 (2017) - [j18]Yu-Hui Zhang, Yue-Jiao Gong, Huaxiang Zhang, Tianlong Gu, Jun Zhang:
Toward Fast Niching Evolutionary Algorithms: A Locality Sensitive Hashing-Based Approach. IEEE Trans. Evol. Comput. 21(3): 347-362 (2017) - [j17]Xinglin Zhang, Zheng Yang, Yue-Jiao Gong, Yunhao Liu, Shaohua Tang:
SpatialRecruiter: Maximizing Sensing Coverage in Selecting Workers for Spatial Crowdsourcing. IEEE Trans. Veh. Technol. 66(6): 5229-5240 (2017) - [c33]Xin Situ, Wei-Neng Chen, Yue-Jiao Gong, Ying Lin, Wei-jie Yu, Zhiwen Yu, Jun Zhang:
A parallel Ant Colony System based on region decomposition for Taxi-Passenger Matching. CEC 2017: 960-967 - [c32]Hong-Kun Zheng, Jing-Jing Li, Yue-Jiao Gong, Wei-Neng Chen, Zhiwen Yu, Zhi-Hui Zhan, Ying Lin:
Link mapping-oriented ant colony system for virtual network embedding. CEC 2017: 1223-1230 - [c31]Xiaolin Xiao, Yue-Jiao Gong, Yicong Zhou:
Adaptive superpixel segmentation aggregating local contour and texture features. ICASSP 2017: 1902-1906 - [c30]An Song, Wei-Neng Chen, Peng-Ting Luo, Yue-Jiao Gong, Jun Zhang:
Overlapped cooperative co-evolution for large scale optimization. SMC 2017: 3689-3694 - [c29]Yi-Wen Liu, Xin-yuan Zhang, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang:
A parallel genetic algorithm with region division strategy to solve taxi-passenger matching problem. SSCI 2017: 1-7 - 2016
- [j16]Yue-Jiao Gong, Yong-Feng Ge, Jing-Jing Li, Jun Zhang, W. H. Ip:
A splicing-driven memetic algorithm for reconstructing cross-cut shredded text documents. Appl. Soft Comput. 45: 163-172 (2016) - [j15]Yuan-Long Li, Zhi-Hui Zhan, Yue-Jiao Gong, Jun Zhang, Yun Li, Qing Li:
Fast Micro-Differential Evolution for Topological Active Net Optimization. IEEE Trans. Cybern. 46(6): 1411-1423 (2016) - [j14]Yue-Jiao Gong, Jing-Jing Li, Yicong Zhou, Yun Li, Henry Shu-Hung Chung, Yu-hui Shi, Jun Zhang:
Genetic Learning Particle Swarm Optimization. IEEE Trans. Cybern. 46(10): 2277-2290 (2016) - [j13]Xin-yuan Zhang, Jun Zhang, Yue-Jiao Gong, Zhi-Hui Zhan, Wei-Neng Chen, Yun Li:
Kuhn-Munkres Parallel Genetic Algorithm for the Set Cover Problem and Its Application to Large-Scale Wireless Sensor Networks. IEEE Trans. Evol. Comput. 20(5): 695-710 (2016) - [j12]Xiang Li, Mengting Li, Yue-Jiao Gong, Xinglin Zhang, Jian Yin:
T-DesP: Destination Prediction Based on Big Trajectory Data. IEEE Trans. Intell. Transp. Syst. 17(8): 2344-2354 (2016) - [j11]Hanjiang Luo, Kaishun Wu, Yue-Jiao Gong, Lionel M. Ni:
Localization for Drifting Restricted Floating Ocean Sensor Networks. IEEE Trans. Veh. Technol. 65(12): 9968-9981 (2016) - [c28]Yu-Hui Zhang, Yue-Jiao Gong, Jun Zhang, Ying-Biao Ling:
A hybrid evolutionary algorithm with dual populations for many-objective optimization. CEC 2016: 1610-1617 - [c27]Yue-Jiao Gong, Yicong Zhou, Xinglin Zhang:
A superpixel segmentation algorithm based on differential evolution. ICME 2016: 1-6 - 2015
- [j10]Yue-Jiao Gong, Wei-Neng Chen, Zhi-Hui Zhan, Jun Zhang, Yun Li, Qingfu Zhang, Jing-Jing Li:
Distributed evolutionary algorithms and their models: A survey of the state-of-the-art. Appl. Soft Comput. 34: 286-300 (2015) - [j9]Zhi-Hui Zhan, Xiao Fang Liu, Yue-Jiao Gong, Jun Zhang, Henry Shu-Hung Chung, Yun Li:
Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches. ACM Comput. Surv. 47(4): 63:1-63:33 (2015) - [j8]Yuan-Long Li, Zhi-Hui Zhan, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang, Yun Li:
Differential Evolution with an Evolution Path: A DEEP Evolutionary Algorithm. IEEE Trans. Cybern. 45(9): 1798-1810 (2015) - [j7]Ni Chen, Wei-Neng Chen, Yue-Jiao Gong, Zhi-Hui Zhan, Jun Zhang, Yun Li, Yusong Tan:
An Evolutionary Algorithm with Double-Level Archives for Multiobjective Optimization. IEEE Trans. Cybern. 45(9): 1851-1863 (2015) - [c26]Yu-Hui Zhang, Yue-Jiao Gong, Wei-Neng Chen, Jun Zhang:
Composite differential evolution with queueing selection for multimodal optimization. CEC 2015: 425-432 - [c25]Yong-Feng Ge, Yue-Jiao Gong, Wei-jie Yu, Xiaomin Hu, Jun Zhang:
Reconstructing Cross-Cut Shredded Text Documents: A Genetic Algorithm with Splicing-Driven Reproduction. GECCO 2015: 847-853 - [c24]Yu-Hui Zhang, Ying Lin, Yue-Jiao Gong, Jun Zhang:
Particle Swarm Optimization with Minimum Spanning Tree Topology for Multimodal Optimization. SSCI 2015: 234-241 - [c23]Yu-Hui Zhang, Meng-Ting Li, Yue-Jiao Gong, Jun Zhang:
Differential Evolution with Random Walk Mutation and an External Archive for Multimodal Optimization. SSCI 2015: 1868-1875 - 2014
- [j6]Wei-jie Yu, Meie Shen, Wei-neng Chen, Zhi-hui Zhan, Yue-jiao Gong, Ying Lin, Ou Liu, Jun Zhang:
Differential Evolution With Two-Level Parameter Adaptation. IEEE Trans. Cybern. 44(7): 1080-1099 (2014) - [j5]Meie Shen, Zhi-Hui Zhan, Wei-Neng Chen, Yue-Jiao Gong, Jun Zhang, Yun Li:
Bi-Velocity Discrete Particle Swarm Optimization and Its Application to Multicast Routing Problem in Communication Networks. IEEE Trans. Ind. Electron. 61(12): 7141-7151 (2014) - [c22]Mengqi Peng, Yue-Jiao Gong, Jing-Jing Li, Ying-Biao Lin:
Multi-swarm particle swarm optimization with multiple learning strategies. GECCO (Companion) 2014: 15-16 - [c21]Chuan-Bin Zhang, Yue-Jiao Gong, Jing-Jing Li, Ying Lin:
Automatic path planning for autonomous underwater vehicles based on an adaptive differential evolution. GECCO 2014: 89-96 - [c20]Xiao-ma Huang, Yue-Jiao Gong, Jing-Jing Li, Xiaomin Hu:
A novel genetic algorithm based on partitioning for large-scale network design problems. GECCO (Companion) 2014: 111-112 - [c19]Xin-yuan Zhang, Yue-jiao Gong, Jing-Jing Li, Ying Lin:
Evolutionary computation for lifetime maximization of wireless sensor networks in complex 3D environments. GECCO (Companion) 2014: 125-126 - [c18]Hao-Feng Li, Yue-Jiao Gong, Zhi-Hui Zhan, Wei-Neng Chen, Jun Zhang:
Pseudo multi-population differential evolution for multimodal optimization. ICNC 2014: 457-462 - [c17]Zeng Kai, Yue-jiao Gong, Jun Zhang:
Real-Time Traffic Signal Control with Dynamic Evolutionary Computation. IIAI-AAI 2014: 493-498 - [c16]Zhi-Hui Zhan, Ge-Yi Zhang, Ying Lin, Yue-Jiao Gong, Jun Zhang:
Load Balance Aware Genetic Algorithm for Task Scheduling in Cloud Computing. SEAL 2014: 644-655 - [c15]Yue-Jiao Gong, Jun Zhang, Yun Li:
From the social learning theory to a social learning algorithm for global optimization. SMC 2014: 222-227 - [c14]Yu-Hui Zhang, Yue-Jiao Gong, Wei-Neng Chen, Zhi-Hui Zhan, Jun Zhang:
A generic archive technique for enhancing the niching performance of evolutionary computation. SIS 2014: 113-120 - [i1]Yue-Jiao Gong, Jun Zhang:
Real-Time Traffic Signal Control for Modern Roundabouts by Using Particle Swarm Optimization-Based Fuzzy Controller. CoRR abs/1408.0689 (2014) - 2013
- [c13]Xiaomin Hu, Zhi-hui Zhan, Ying Lin, Yue-jiao Gong, Wei-jie Yu, Yao-Xiu Hu, Jun Zhang:
Multiobjective genetic algorithm for demand side management of smart grid. CISched 2013: 14-21 - [c12]Yue-jiao Gong, Jun Zhang:
Small-world particle swarm optimization with topology adaptation. GECCO 2013: 25-32 - [c11]Yun-yang Ma, Yue-jiao Gong, Wei-neng Chen, Jun Zhang:
A set-based locally informed discrete particle swarm optimization. GECCO (Companion) 2013: 71-72 - [c10]Xiao-ma Huang, Yue-jiao Gong, Jun Zhang:
A novel pheromone-based evolutionary algorithm for solving degree-constrained minimum spanning tree problem. GECCO (Companion) 2013: 121-122 - [c9]Yu Liu, Wei-neng Chen, Zhi-hui Zhan, Ying Lin, Yue-jiao Gong, Jun Zhang:
A Set-Based Discrete Differential Evolution Algorithm. SMC 2013: 1347-1352 - [c8]Zhi-hui Zhan, Wei-neng Chen, Ying Lin, Yue-jiao Gong, Yuan-Long Li, Jun Zhang:
Parameter investigation in brain storm optimization. SIS 2013: 103-110 - 2012
- [j4]Yue-jiao Gong, Jun Zhang, Henry Shu-Hung Chung, Wei-neng Chen, Zhi-hui Zhan, Yun Li, Yu-hui Shi:
An Efficient Resource Allocation Scheme Using Particle Swarm Optimization. IEEE Trans. Evol. Comput. 16(6): 801-816 (2012) - [j3]Yue-jiao Gong, Meie Shen, Jun Zhang, Okyay Kaynak, Wei-neng Chen, Zhi-hui Zhan:
Optimizing RFID Network Planning by Using a Particle Swarm Optimization Algorithm With Redundant Reader Elimination. IEEE Trans. Ind. Informatics 8(4): 900-912 (2012) - [j2]Yue-jiao Gong, Jun Zhang, Ou Liu, Rui-zhang Huang, Henry Shu-Hung Chung, Yu-hui Shi:
Optimizing the Vehicle Routing Problem With Time Windows: A Discrete Particle Swarm Optimization Approach. IEEE Trans. Syst. Man Cybern. Part C 42(2): 254-267 (2012) - [c7]Yue-jiao Gong, Jun Zhang:
Real-time traffic signal control for roundabouts by using a PSO-based fuzzy controller. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j1]Jun Zhang, Zhi-hui Zhan, Ying Lin, Ni Chen, Yue-jiao Gong, Jing-Hui Zhong, Henry Shu-Hung Chung, Yun Li, Yu-hui Shi:
Evolutionary Computation Meets Machine Learning: A Survey. IEEE Comput. Intell. Mag. 6(4): 68-75 (2011) - [c6]Yue-jiao Gong, Jun Zhang, Ou Liu, Yi Li:
A novel fuzzy model for the traffic signal control of modern roundabouts. SMC 2011: 1777-1782 - 2010
- [c5]Yue-jiao Gong, Xiaomin Hu, Jun Zhang, Ou Liu, Hai-Lin:
A linear map-based mutation scheme for real coded genetic algorithms. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c4]Yue-jiao Gong, Jun Zhang, Zhun Fan:
A multi-objective comprehensive learning particle swarm optimization with a binary search-based representation scheme for bed allocation problem in general hospital. SMC 2010: 1083-1088
2000 – 2009
- 2009
- [c3]Zhi-hui Zhan, Xin-ling Feng, Yue-jiao Gong, Jun Zhang:
Solving the flight frequency programming problem with particle swarm optimization. IEEE Congress on Evolutionary Computation 2009: 1383-1390 - [c2]Zhi-hui Zhan, Jun Zhang, Yue-jiao Gong:
Ant colony system based on receding horizon control for aircraft arrival sequencing and scheduling. GECCO 2009: 1765-1766 - [c1]Yue-jiao Gong, Rui-tian Xu, Jun Zhang, Ou Liu:
A Clustering-based Adaptive Parameter Control Method for Continuous Ant Colony Optimization. SMC 2009: 1827-1832
Coauthor Index
aka: Zhi-Hui Zhan
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