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Debao Chen
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2020 – today
- 2025
- [j60]Xiaotong Bian, Debao Chen, Feng Zou, Fangzhen Ge, Yuhui Zheng, Fuqiang Liu:
Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer. Swarm Evol. Comput. 92: 101823 (2025) - [j59]Fangzhen Ge, Xuan Zhao, Debao Chen, Longfeng Shen, Huaiyu Liu:
A dynamic multi-objective optimization algorithm based on probability-driven prediction and correlation-guided individual transfer. J. Supercomput. 81(1): 348 (2025) - 2024
- [j58]Jinyu Feng, Debao Chen, Feng Zou, Fangzhen Ge, Xiaotong Bian, Xuenan Zhang:
Guided prediction strategy based on regional multi-directional information fusion for dynamic multi-objective optimization. Inf. Sci. 669: 120565 (2024) - [j57]Fangzhen Ge, Xing Hou, Debao Chen, Longfeng Shen, Huaiyu Liu:
A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification. Inf. Sci. 678: 120922 (2024) - [j56]Minglan Fu, Zhijie Zhang, Zouxi Wang, Debao Chen:
The multi-objective task assignment scheme for software crowdsourcing platforms involving new workers. J. King Saud Univ. Comput. Inf. Sci. 36(10): 102237 (2024) - [j55]Hui Liu, Feng Zou, Debao Chen:
A hierarchical JAYA algorithm for numerical optimization and image segmentation. Soft Comput. 28(7): 5969-6001 (2024) - [c9]Huimei Huang, Feng Zou, Debao Chen:
Multi-modal Multi-objective Particle Swarm Optimization Algorithm with Bi-topological Structures and Rebirth Mechanism. ICIC (1) 2024: 489-501 - 2023
- [j54]Mengzhen Wang, Fangzhen Ge, Debao Chen, Huaiyu Liu:
A many-objective evolutionary algorithm based on corner solution and cosine distance. Appl. Intell. 53(8): 9321-9343 (2023) - [j53]Siyu Cao, Feng Zou, Debao Chen, Hui Liu, Xuying Ji, Yan Zhang:
A new hybrid prediction model with entropy-like kernel function for dynamic multi-objective optimization. Appl. Intell. 53(9): 10500-10519 (2023) - [j52]Mengzhen Wang, Fangzhen Ge, Debao Chen, Huaiyu Liu:
A many-objective evolutionary algorithm with adaptive convergence calculation. Appl. Intell. 53(14): 17260-17291 (2023) - [j51]Xing Hou, Fangzhen Ge, Debao Chen, Longfeng Shen, Feng Zou:
Temporal distribution-based prediction strategy for dynamic multi-objective optimization assisted by GRU neural network. Inf. Sci. 649: 119627 (2023) - [j50]Qiming Fu, Hong Guo, Xingfa Gu, Juan Li, Wenhao Zhang, Xiaofei Mi, Qichao Zhao, Debao Chen:
High-Resolution PM2.5 Concentrations Estimation Based on Stacked Ensemble Learning Model Using Multi-Source Satellite TOA Data. Remote. Sens. 15(23): 5489 (2023) - [j49]Debao Chen, Hong Guo, Xingfa Gu, Tianhai Cheng, Jian Yang, Yulin Zhan, Xiangqin Wei:
A Spatial Neighborhood Deep Neural Network Model for PM2.5 Estimation Across China. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [c8]Cong Song Li, Feng Zou, Debao Chen:
Nonlinear Inertia Weight Whale Optimization Algorithm with Multi-strategy and Its Application. ICIC (1) 2023: 365-375 - [c7]Shuo Zheng, Feng Zou, Debao Chen:
Sparrow Search Algorithm Based on Cubic Mapping and Its Application. ICIC (1) 2023: 376-385 - 2022
- [j48]Longfeng Shen, Yulei Jian, Debao Chen, Fangzheng Ge, Xiangjun Gao, Huaiyu Liu, Qianqian Meng, Yingjie Zhang, Chengzhen Xu:
Multi-Cue Gate-Shift Networks for Mouse Behavior Recognition. Appl. Artif. Intell. 36(1) (2022) - [j47]Yu Deng, Debao Chen, Feng Zou, Yuan Chen, Ying Zheng, Ming-Lan Fu, Chun Wang:
Heterogeneous ensemble algorithms for function optimization. Appl. Intell. 52(11): 13310-13338 (2022) - [j46]Yu Deng, Debao Chen, Feng Zou, Yuan Chen, Ying Zheng, Minglan Fu, Chun Wang:
Correction to: Heterogeneous ensemble algorithms for function optimization. Appl. Intell. 52(11): 13339 (2022) - [j45]Chuwen Jiang, Fangzhen Ge, Debao Chen, Huaiyu Liu:
Ensemble methods based on characterization of dynamism for dynamic multi-objective optimization. Appl. Soft Comput. 129: 109605 (2022) - [j44]Ziqi Jiang, Feng Zou, Debao Chen, Siyu Cao, Hui Liu, Wei Guo:
An ensemble multi-swarm teaching-learning-based optimization algorithm for function optimization and image segmentation. Appl. Soft Comput. 130: 109653 (2022) - [j43]Tianlong Zheng, Chunli Zhang, Yueting Shi, Debao Chen, Sheng Liu:
Influencing Factors and Clustering Characteristics of COVID-19: A Global Analysis. Big Data Min. Anal. 5(4): 318-338 (2022) - [j42]Debao Chen, Yuanyuan Ge, Yujie Wan, Yu Deng, Yuan Chen, Feng Zou:
Poplar optimization algorithm: A new meta-heuristic optimization technique for numerical optimization and image segmentation. Expert Syst. Appl. 200: 117118 (2022) - [j41]Chong Xu, Xi Chen, Jianguo Chen, Debao Chen:
Exploring the Impact of Floating Population with Different Household Registration on Theft. ISPRS Int. J. Geo Inf. 11(8): 443 (2022) - [j40]Feng Zou, Debao Chen, Hui Liu, Siyu Cao, Xuying Ji, Yan Zhang:
A survey of fitness landscape analysis for optimization. Neurocomputing 503: 129-139 (2022) - [j39]Yuanyuan Ge, Debao Chen, Feng Zou, Ming-Lan Fu, Fangzhen Ge:
Large-scale multiobjective optimization with adaptive competitive swarm optimizer and inverse modeling. Inf. Sci. 608: 1441-1463 (2022) - [j38]Tao Sheng, Shengzhe Shi, Yuanyang Zhu, Debao Chen, Sheng Liu:
Analysis of Protein and Fat in Milk Using Multiwavelength Gradient-Boosted Regression Tree. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [c6]Mengzhen Wang, Fangzhen Ge, Debao Chen, Huaiyu Liu:
A Many-objective Evolutionary Algorithm using Determinantal Point Process in Potential Region. CCEAI 2022: 83-91 - [c5]Xuying Ji, Feng Zou, Debao Chen, Yan Zhang:
A New Fitness-Landscape-Driven Particle Swarm Optimization. ICIC (1) 2022: 112-122 - 2021
- [j37]Chong Xu, Xi Chen, Lin Liu, Minxuan Lan, Debao Chen:
Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding Areas. ISPRS Int. J. Geo Inf. 10(10): 632 (2021) - [j36]Feng Zou, Debao Chen, Qingzheng Xu, Ziqi Jiang, Jiahui Kang:
A two-stage personalized recommendation based on multi-objective teaching-learning-based optimization with decomposition. Neurocomputing 452: 716-727 (2021) - [j35]Xiao Shen, Haofeng Zhang, Lunbo Li, Zheng Zhang, Debao Chen, Li Liu:
Clustering-driven Deep Adversarial Hashing for scalable unsupervised cross-modal retrieval. Neurocomputing 459: 152-164 (2021) - [j34]Fang Zhu, Debao Chen, Feng Zou:
A novel hybrid dynamic fireworks algorithm with particle swarm optimization. Soft Comput. 25(3): 2371-2398 (2021) - [c4]Wei Guo, Feng Zou, Debao Chen, Hui Liu, Siyu Cao:
An Improved Teaching-Learning-Based Optimization for Multitask Optimization Problems. ICIC (1) 2021: 48-58 - 2020
- [j33]Debao Chen, Renquan Lu, Suwen Li, Feng Zou, Yajun Liu:
An enhanced colliding bodies optimization and its application. Artif. Intell. Rev. 53(2): 1127-1186 (2020) - [j32]Feng Zou, Debao Chen, Qingzheng Xu, Renquan Lu:
A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization. Swarm Evol. Comput. 59: 100749 (2020)
2010 – 2019
- 2019
- [j31]Feng Zou, Debao Chen, Qingzheng Xu:
A survey of teaching-learning-based optimization. Neurocomputing 335: 366-383 (2019) - [j30]Debao Chen, Feng Zou, Renquan Lu, Suwen Li:
Backtracking search optimization algorithm based on knowledge learning. Inf. Sci. 473: 202-226 (2019) - [c3]Yongqi Zhao, Feng Zou, Debao Chen:
A Discrete Sine Cosine Algorithm for Community Detection. ICIC (1) 2019: 35-44 - 2018
- [j29]Feng Zou, Debao Chen, Renquan Lu, Suwen Li, Lehui Wu:
Teaching-learning-based optimization with differential and repulsion learning for global optimization and nonlinear modeling. Soft Comput. 22(21): 7177-7205 (2018) - [j28]Debao Chen, Feng Zou, Renquan Lu, Xude Wang:
A hybrid fuzzy inference prediction strategy for dynamic multi-objective optimization. Swarm Evol. Comput. 43: 147-165 (2018) - 2017
- [j27]Feng Zou, Debao Chen, Suwen Li, Renquan Lu, Muyi Lin:
Community detection in complex networks: Multi-objective discrete backtracking search optimization algorithm with decomposition. Appl. Soft Comput. 53: 285-295 (2017) - [j26]Debao Chen, Renquan Lu, Feng Zou, Suwen Li, Peng Wang:
A learning and niching based backtracking search optimisation algorithm and its applications in global optimisation and ANN training. Neurocomputing 266: 579-594 (2017) - [j25]Debao Chen, Feng Zou, Renquan Lu, Peng Wang:
Learning backtracking search optimisation algorithm and its application. Inf. Sci. 376: 71-94 (2017) - [j24]Feng Zou, Debao Chen, Renquan Lu, Peng Wang:
Hierarchical multi-swarm cooperative teaching-learning-based optimization for global optimization. Soft Comput. 21(23): 6983-7004 (2017) - 2016
- [j23]Feng Zou, Debao Chen, Jiangtao Wang:
An Improved Teaching-Learning-Based Optimization with the Social Character of PSO for Global Optimization. Comput. Intell. Neurosci. 2016: 4561507:1-4561507:10 (2016) - [j22]Debao Chen, Renquan Lu, Feng Zou, Suwen Li:
Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization. Neurocomputing 173: 1096-1111 (2016) - [j21]Debao Chen, Feng Zou, Renquan Lu, Lei Yu, Zheng Li, Jiangtao Wang:
Multi-objective optimization of community detection using discrete teaching-learning-based optimization with decomposition. Inf. Sci. 369: 402-418 (2016) - [j20]Debao Chen, Feng Zou, Jiangtao Wang, Wujie Yuan:
SAMCCTLBO: a multi-class cooperative teaching-learning-based optimization algorithm with simulated annealing. Soft Comput. 20(5): 1921-1943 (2016) - [j19]Zhuo Wang, Renquan Lu, Debao Chen, Feng Zou:
An Experience Information Teaching-Learning-Based Optimization for Global Optimization. IEEE Trans. Syst. Man Cybern. Syst. 46(9): 1202-1214 (2016) - 2015
- [j18]Feng Zou, Lei Wang, Xinhong Hei, Debao Chen:
Teaching-learning-based optimization with learning experience of other learners and its application. Appl. Soft Comput. 37: 725-736 (2015) - [j17]Debao Chen, Feng Zou, Zheng Li, Jiangtao Wang, Suwen Li:
An improved teaching-learning-based optimization algorithm for solving global optimization problem. Inf. Sci. 297: 171-190 (2015) - [j16]Debao Chen, Feng Zou, Jiangtao Wang, Wujie Yuan:
A teaching-learning-based optimization algorithm with producer-scrounger model for global optimization. Soft Comput. 19(3): 745-762 (2015) - [j15]Debao Chen, Jing Chen, Hao Jiang, Feng Zou, Tundong Liu:
An improved PSO algorithm based on particle exploration for function optimization and the modeling of chaotic systems. Soft Comput. 19(11): 3071-3081 (2015) - 2014
- [j14]Jiangtao Wang, Debao Chen, Jiang-ai Zhang, Suwen Li, Xing-jun Wang:
Object Tracking with Adaptive Multicue Incremental Visual Tracker. Adv. Multim. 2014: 343860:1-343860:11 (2014) - [j13]Lei Wang, Feng Zou, Xinhong Hei, Dongdong Yang, Debao Chen, Qiaoyong Jiang:
An improved teaching-learning-based optimization with neighborhood search for applications of ANN. Neurocomputing 143: 231-247 (2014) - [j12]Feng Zou, Lei Wang, Xinhong Hei, Debao Chen, Dongdong Yang:
Teaching-learning-based optimization with dynamic group strategy for global optimization. Inf. Sci. 273: 112-131 (2014) - [j11]Debao Chen, Jiangtao Wang, Feng Zou, Wujie Yuan, Weibo Hou:
Time series prediction with improved neuro-endocrine model. Neural Comput. Appl. 24(6): 1465-1475 (2014) - [j10]Lei Wang, Feng Zou, Xinhong Hei, Dongdong Yang, Debao Chen, Qiaoyong Jiang, Zijian Cao:
A hybridization of teaching-learning-based optimization and differential evolution for chaotic time series prediction. Neural Comput. Appl. 25(6): 1407-1422 (2014) - 2013
- [j9]Feng Zou, Lei Wang, Xinhong Hei, Debao Chen, Bin Wang:
Multi-objective optimization using teaching-learning-based optimization algorithm. Eng. Appl. Artif. Intell. 26(4): 1291-1300 (2013) - 2012
- [j8]Debao Chen, Jiangtao Wang, Feng Zou, Weibo Hou, Chunxia Zhao:
An improved group search optimizer with operation of quantum-behaved swarm and its application. Appl. Soft Comput. 12(2): 712-725 (2012) - [j7]Debao Chen, Jiangtao Wang, Feng Zou, Haofeng Zhang, Weibo Hou:
Linguistic fuzzy model identification based on PSO with different length of particles. Appl. Soft Comput. 12(11): 3390-3400 (2012) - [j6]Jiangtao Wang, Debao Chen, Hai-yan Chen, Jing-yu Yang:
On pedestrian detection and tracking in infrared videos. Pattern Recognit. Lett. 33(6): 775-785 (2012) - [c2]Jiangtao Wang, Debao Chen, Suwen Li, Yijun Yang:
Feature-Scoring-Based Multi-cue Infrared Object Tracking. IScIDE 2012: 25-31 - 2011
- [j5]Debao Chen, Feng Zou, Jiangtao Wang:
A multi-objective endocrine PSO algorithm and application. Appl. Soft Comput. 11(8): 4508-4520 (2011) - [j4]Debao Chen, Chunxia Zhao, Haofeng Zhang:
An improved cooperative particle swarm optimization and its application. Neural Comput. Appl. 20(2): 171-182 (2011) - 2010
- [j3]Jiangtao Wang, Debao Chen, Jingyu Yang:
Human behavior classification by analyzing periodic motions. Frontiers Comput. Sci. China 4(4): 580-588 (2010)
2000 – 2009
- 2009
- [j2]Debao Chen, Chunxia Zhao:
Particle swarm optimization with adaptive population size and its application. Appl. Soft Comput. 9(1): 39-48 (2009) - [j1]Debao Chen, Chunxia Zhao:
Data-driven fuzzy clustering based on maximum entropy principle and PSO. Expert Syst. Appl. 36(1): 625-633 (2009) - 2008
- [c1]Xia Yuan, Chunxia Zhao, Yun-fei Cai, Haofeng Zhang, Debao Chen:
Road-surface abstraction using ladar sensing. ICARCV 2008: 1097-1102
Coauthor Index
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