Road-surface abstraction using ladar sensing. - Xia Yuan; Chunxia Zhao; Yun-fei Cai; Haofeng Zhang 001; Debao Chen (ICARCV, 2008)

Particle swarm optimization with adaptive population size and its application. - Debao Chen; Chunxia Zhao (Appl. Soft Comput., 2009)

Data-driven fuzzy clustering based on maximum entropy principle and PSO. - Debao Chen; Chunxia Zhao (Expert Syst. Appl., 2009)

Human behavior classification by analyzing periodic motions. - Jiangtao Wang 002; Debao Chen; Jingyu Yang 001 (Frontiers Comput. Sci. China, 2010)

A multi-objective endocrine PSO algorithm and application. - Debao Chen; Feng Zou 001; Jiangtao Wang 002 (Appl. Soft Comput., 2011)

An improved cooperative particle swarm optimization and its application. - Debao Chen; Chunxia Zhao; Haofeng Zhang 001 (Neural Comput. Appl., 2011)

Feature-Scoring-Based Multi-cue Infrared Object Tracking. - Jiangtao Wang 002; Debao Chen; Suwen Li; Yijun Yang (IScIDE, 2012)

An improved group search optimizer with operation of quantum-behaved swarm and its application. - Debao Chen; Jiangtao Wang 002; Feng Zou 001; Weibo Hou; Chunxia Zhao (Appl. Soft Comput., 2012)

Linguistic fuzzy model identification based on PSO with different length of particles. - Debao Chen; Jiangtao Wang 002; Feng Zou 001; Haofeng Zhang 001; Weibo Hou (Appl. Soft Comput., 2012)

On pedestrian detection and tracking in infrared videos. - Jiangtao Wang 002; Debao Chen; Hai-yan Chen; Jing-yu Yang (Pattern Recognit. Lett., 2012)

Multi-objective optimization using teaching-learning-based optimization algorithm. - Feng Zou 001; Lei Wang 030; Xinhong Hei 001; Debao Chen; Bin Wang 046 (Eng. Appl. Artif. Intell., 2013)

Object Tracking with Adaptive Multicue Incremental Visual Tracker. - Jiangtao Wang 002; Debao Chen; Jiang-ai Zhang; Suwen Li; Xing-jun Wang (Adv. Multim., 2014)

An improved teaching-learning-based optimization with neighborhood search for applications of ANN. - Lei Wang 030; Feng Zou 001; Xinhong Hei 001; Dongdong Yang; Debao Chen; Qiaoyong Jiang (Neurocomputing, 2014)

Teaching-learning-based optimization with dynamic group strategy for global optimization. - Feng Zou 001; Lei Wang 030; Xinhong Hei 001; Debao Chen; Dongdong Yang (Inf. Sci., 2014)

Time series prediction with improved neuro-endocrine model. - Debao Chen; Jiangtao Wang 002; Feng Zou 001; Wujie Yuan; Weibo Hou (Neural Comput. Appl., 2014)

A hybridization of teaching-learning-based optimization and differential evolution for chaotic time series prediction. - Lei Wang 030; Feng Zou 001; Xinhong Hei 001; Dongdong Yang; Debao Chen; Qiaoyong Jiang; Zijian Cao 001 (Neural Comput. Appl., 2014)

Teaching-learning-based optimization with learning experience of other learners and its application. - Feng Zou 001; Lei Wang 030; Xinhong Hei 001; Debao Chen (Appl. Soft Comput., 2015)

An improved teaching-learning-based optimization algorithm for solving global optimization problem. - Debao Chen; Feng Zou 001; Zheng Li; Jiangtao Wang 002; Suwen Li (Inf. Sci., 2015)

An improved PSO algorithm based on particle exploration for function optimization and the modeling of chaotic systems. - Debao Chen; Jing Chen 022; Hao Jiang 008; Feng Zou 001; Tundong Liu (Soft Comput., 2015)

A teaching-learning-based optimization algorithm with producer-scrounger model for global optimization. - Debao Chen; Feng Zou 001; Jiangtao Wang 002; Wujie Yuan (Soft Comput., 2015)

An Improved Teaching-Learning-Based Optimization with the Social Character of PSO for Global Optimization. - Feng Zou 001; Debao Chen; Jiangtao Wang 002 (Comput. Intell. Neurosci., 2016)

Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization. - Debao Chen; Renquan Lu; Feng Zou 001; Suwen Li (Neurocomputing, 2016)

Multi-objective optimization of community detection using discrete teaching-learning-based optimization with decomposition. - Debao Chen; Feng Zou 001; Renquan Lu; Lei Yu; Zheng Li; Jiangtao Wang 002 (Inf. Sci., 2016)

SAMCCTLBO: a multi-class cooperative teaching-learning-based optimization algorithm with simulated annealing. - Debao Chen; Feng Zou 001; Jiangtao Wang 002; Wujie Yuan (Soft Comput., 2016)

An Experience Information Teaching-Learning-Based Optimization for Global Optimization. - Zhuo Wang 003; Renquan Lu; Debao Chen; Feng Zou 001 (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Community detection in complex networks: Multi-objective discrete backtracking search optimization algorithm with decomposition. - Feng Zou 001; Debao Chen; Suwen Li; Renquan Lu; Muyi Lin (Appl. Soft Comput., 2017)

A learning and niching based backtracking search optimisation algorithm and its applications in global optimisation and ANN training. - Debao Chen; Renquan Lu; Feng Zou 001; Suwen Li; Peng Wang (Neurocomputing, 2017)

Learning backtracking search optimisation algorithm and its application. - Debao Chen; Feng Zou 001; Renquan Lu; Peng Wang (Inf. Sci., 2017)

Hierarchical multi-swarm cooperative teaching-learning-based optimization for global optimization. - Feng Zou 001; Debao Chen; Renquan Lu; Peng Wang (Soft Comput., 2017)

Teaching-learning-based optimization with differential and repulsion learning for global optimization and nonlinear modeling. - Feng Zou 001; Debao Chen; Renquan Lu; Suwen Li; Lehui Wu (Soft Comput., 2018)

A hybrid fuzzy inference prediction strategy for dynamic multi-objective optimization. - Debao Chen; Feng Zou 001; Renquan Lu; Xude Wang (Swarm Evol. Comput., 2018)

A Discrete Sine Cosine Algorithm for Community Detection. - Yongqi Zhao; Feng Zou 001; Debao Chen (ICIC (1), 2019)

A survey of teaching-learning-based optimization. - Feng Zou 001; Debao Chen; Qingzheng Xu (Neurocomputing, 2019)

Backtracking search optimization algorithm based on knowledge learning. - Debao Chen; Feng Zou 001; Renquan Lu; Suwen Li (Inf. Sci., 2019)

An enhanced colliding bodies optimization and its application. - Debao Chen; Renquan Lu; Suwen Li; Feng Zou 001; Yajun Liu (Artif. Intell. Rev., 2020)

A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization. - Feng Zou 001; Debao Chen; Qingzheng Xu; Renquan Lu (Swarm Evol. Comput., 2020)

An Improved Teaching-Learning-Based Optimization for Multitask Optimization Problems. - Wei Guo; Feng Zou 001; Debao Chen; Hui Liu; Siyu Cao (ICIC (1), 2021)

Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding Areas. - Chong Xu; Xi Chen 088; Lin Liu 005; Minxuan Lan; Debao Chen (ISPRS Int. J. Geo Inf., 2021)

Clustering-driven Deep Adversarial Hashing for scalable unsupervised cross-modal retrieval. - Xiao Shen; Haofeng Zhang 001; Lunbo Li; Zheng Zhang 006; Debao Chen; Li Liu 004 (Neurocomputing, 2021)

A two-stage personalized recommendation based on multi-objective teaching-learning-based optimization with decomposition. - Feng Zou 001; Debao Chen; Qingzheng Xu; Ziqi Jiang; Jiahui Kang (Neurocomputing, 2021)

A novel hybrid dynamic fireworks algorithm with particle swarm optimization. - Fang Zhu; Debao Chen; Feng Zou 001 (Soft Comput., 2021)

A Many-objective Evolutionary Algorithm using Determinantal Point Process in Potential Region. - Mengzhen Wang; Fangzhen Ge; Debao Chen; Huaiyu Liu (CCEAI, 2022)

A New Fitness-Landscape-Driven Particle Swarm Optimization. - Xuying Ji; Feng Zou 001; Debao Chen; Yan Zhang (ICIC (1), 2022)

Heterogeneous ensemble algorithms for function optimization. - Yu Deng; Debao Chen; Feng Zou 001; Yuan Chen; Ying Zheng; Ming-Lan Fu; Chun Wang (Appl. Intell., 2022)

Correction to: Heterogeneous ensemble algorithms for function optimization. - Yu Deng; Debao Chen; Feng Zou 001; Yuan Chen; Ying Zheng; Minglan Fu; Chun Wang (Appl. Intell., 2022)

Ensemble methods based on characterization of dynamism for dynamic multi-objective optimization. - Chuwen Jiang; Fangzhen Ge; Debao Chen; Huaiyu Liu (Appl. Soft Comput., 2022)

An ensemble multi-swarm teaching-learning-based optimization algorithm for function optimization and image segmentation. - Ziqi Jiang; Feng Zou 001; Debao Chen; Siyu Cao; Hui Liu; Wei Guo (Appl. Soft Comput., 2022)

Influencing Factors and Clustering Characteristics of COVID-19: A Global Analysis. - Tianlong Zheng; Chunli Zhang; Yueting Shi; Debao Chen; Sheng Liu 005 (Big Data Min. Anal., 2022)

Poplar optimization algorithm: A new meta-heuristic optimization technique for numerical optimization and image segmentation. - Debao Chen; Yuanyuan Ge; Yujie Wan; Yu Deng; Yuan Chen; Feng Zou 001 (Expert Syst. Appl., 2022)

Exploring the Impact of Floating Population with Different Household Registration on Theft. - Chong Xu; Xi Chen 088; Jianguo Chen; Debao Chen (ISPRS Int. J. Geo Inf., 2022)

A survey of fitness landscape analysis for optimization. - Feng Zou 001; Debao Chen; Hui Liu; Siyu Cao; Xuying Ji; Yan Zhang (Neurocomputing, 2022)

Large-scale multiobjective optimization with adaptive competitive swarm optimizer and inverse modeling. - Yuanyuan Ge; Debao Chen; Feng Zou 001; Ming-Lan Fu; Fangzhen Ge (Inf. Sci., 2022)

Analysis of Protein and Fat in Milk Using Multiwavelength Gradient-Boosted Regression Tree. - Tao Sheng; Shengzhe Shi; Yuanyang Zhu; Debao Chen; Sheng Liu 005 (IEEE Trans. Instrum. Meas., 2022)

Multi-Cue Gate-Shift Networks for Mouse Behavior Recognition. - Longfeng Shen; Yulei Jian; Debao Chen; Fangzheng Ge; Xiangjun Gao; Huaiyu Liu; Qianqian Meng; Yingjie Zhang; Chengzhen Xu (Appl. Artif. Intell., 2022)

Nonlinear Inertia Weight Whale Optimization Algorithm with Multi-strategy and Its Application. - Cong Song Li; Feng Zou 001; Debao Chen (ICIC (1), 2023)

Sparrow Search Algorithm Based on Cubic Mapping and Its Application. - Shuo Zheng; Feng Zou 001; Debao Chen (ICIC (1), 2023)

A Spatial Neighborhood Deep Neural Network Model for PM2.5 Estimation Across China. - Debao Chen; Hong Guo; Xingfa Gu; Tianhai Cheng; Jian Yang; Yulin Zhan; Xiangqin Wei (IEEE Trans. Geosci. Remote. Sens., 2023)

A many-objective evolutionary algorithm based on corner solution and cosine distance. - Mengzhen Wang; Fangzhen Ge; Debao Chen; Huaiyu Liu (Appl. Intell., 2023)

A new hybrid prediction model with entropy-like kernel function for dynamic multi-objective optimization. - Siyu Cao; Feng Zou 001; Debao Chen; Hui Liu; Xuying Ji; Yan Zhang (Appl. Intell., 2023)

A many-objective evolutionary algorithm with adaptive convergence calculation. - Mengzhen Wang; Fangzhen Ge; Debao Chen; Huaiyu Liu (Appl. Intell., 2023)

Temporal distribution-based prediction strategy for dynamic multi-objective optimization assisted by GRU neural network. - Xing Hou; Fangzhen Ge; Debao Chen; Longfeng Shen; Feng Zou 001 (Inf. Sci., 2023)

High-Resolution PM2.5 Concentrations Estimation Based on Stacked Ensemble Learning Model Using Multi-Source Satellite TOA Data. - Qiming Fu 005; Hong Guo; Xingfa Gu; Juan Li; Wenhao Zhang 005; Xiaofei Mi; Qichao Zhao; Debao Chen (Remote. Sens., 2023)

Multi-modal Multi-objective Particle Swarm Optimization Algorithm with Bi-topological Structures and Rebirth Mechanism. - Huimei Huang; Feng Zou 001; Debao Chen (ICIC (1), 2024)

A Reference Vector-Assisted Many-Objective Optimization Algorithm with Adaptive Niche Dominance Relation. - Fangzhen Ge; Yating Wu; Debao Chen; Longfeng Shen (Intell. Autom. Soft Comput., 2024)

Guided prediction strategy based on regional multi-directional information fusion for dynamic multi-objective optimization. - Jinyu Feng; Debao Chen; Feng Zou 001; Fangzhen Ge; Xiaotong Bian; Xuenan Zhang (Inf. Sci., 2024)

A dynamic multi-objective evolutionary algorithm based on Mahalanobis distance and intra-cluster individual correlation rectification. - Fangzhen Ge; Xing Hou; Debao Chen; Longfeng Shen; Huaiyu Liu (Inf. Sci., 2024)

The multi-objective task assignment scheme for software crowdsourcing platforms involving new workers. - Minglan Fu; Zhijie Zhang; Zouxi Wang; Debao Chen (J. King Saud Univ. Comput. Inf. Sci., 2024)

A hierarchical JAYA algorithm for numerical optimization and image segmentation. - Hui Liu; Feng Zou 001; Debao Chen (Soft Comput., 2024)

Automatic channel pruning by neural network based on improved poplar optimisation algorithm. - Yuanxu Hu; Debao Chen; Feng Zou 001; Yajun Liu (Knowl. Based Syst., 2025)

Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer. - Xiaotong Bian; Debao Chen; Feng Zou 001; Fangzhen Ge; Yuhui Zheng; Fuqiang Liu (Swarm Evol. Comput., 2025)

Capturing the spatial arrangement of POIs in crime modeling. - Lin Liu 005; Xin Gu; Minxuan Lan; Hanlin Zhou; Debao Chen; Zihan Su (Comput. Environ. Urban Syst., 2025)

A dynamic multi-objective optimization algorithm based on probability-driven prediction and correlation-guided individual transfer. - Fangzhen Ge; Xuan Zhao; Debao Chen; Longfeng Shen; Huaiyu Liu (J. Supercomput., 2025)

An Enhanced Cross-Attention Based Multimodal Model for Depression Detection. - Yifan Kou; Fangzhen Ge; Debao Chen; Longfeng Shen; Huaiyu Liu (Comput. Intell., 2025)

TransFGVC: transformer-based fine-grained visual classification. - Longfeng Shen; Bin Hou; Yulei Jian; Xisong Tu; Yingjie Zhang; Lingying Shuai; Fangzhen Ge; Debao Chen (Vis. Comput., 2025)