An Improved Elman Neural Network with Profit Factors and Its Applications. - Limin Wang 011; Xiaohu Shi; Yanchun Liang 001; Xuming Han (ICIC (1), 2006)

Learning Bayesian-Neural Network from Mixed-Mode Data. - Limin Wang 011 (ICONIP (1), 2006)

An Improved OIF Elman Neural Network and Its Applications to Stock Market. - Limin Wang 011; Yanchun Liang 001; Xiaohu Shi; Ming Li; Xuming Han (KES (1), 2006)

An Immune Algorithm-Based Atmospheric Quality Assessment Model and Its Applications. - Limin Wang 011; Xuming Han; Ming Li; Guojun Chen; Chijun Zhang; Huimin Zhang (CSSE (1), 2008)

SOM2W and RBF Neural Network-Based Hybrid Models and Their Applications to New Share Pricing. - Xuming Han; Limin Wang 011; Xiaohu Shi; Yanchun Liang 001 (ICNC (2), 2008)

Research on Teaching Reform of Computer Basic Courses in Technology Universities. - Xuming Han; Limin Wang 011; Wanli Zuo; Hongzhi Wang 004; Guojun Chen (ICYCS, 2008)

An improved particle swarm optimization algorithm for geometric constraint solving problem. - Chun-Hong Cao; Chang-Sheng Zhang 001; Li-Min Wang 011 (ICMLC, 2010)

A credible network intrusion detection system based on grid. - Shuying Zhang; Shufen Liu; Yue Gao; Jianmei Ge; Limin Wang 011 (WCNIS, 2010)

Research of communication application program based on Windows Sockets. - Limin Wang 011; Xuming Han (ICDIP, 2012)

Dynamic recurrent Elman neural network based on immune clonal selection algorithm. - Limin Wang 011; Xuming Han; Ming Li (ICDIP, 2012)

A self-trained semisupervised SVM approach to the remote sensing land cover classification. - Ying Liu; Bai Zhang; Limin Wang 011; Nan Wang (Comput. Geosci., 2013)

An improved affinity propagation clustering algorithm based on principal component analysis and variation coefficient. - Limin Wang 011; Li Zhang; Xuming Han; Na Huang; Xintong Guo (Int. J. Wirel. Mob. Comput., 2014)

Application of Modified OPTICS Algorithm in E-Commerce Sites Classification and Evaluation. - Zhuoxi Yu; Yujia Jin; Milan Deepak Parmar; Limin Wang 011 (J. Electron. Commer. Organ., 2016)

A Knowledge Base Completion Model Based on Path Feature Learning. - Xixun Lin; Yanchun Liang 001; Limin Wang 011; Xu Wang; Mary Qu Yang; Renchu Guan (Int. J. Comput. Commun. Control, 2018)

Novel fruit fly optimization algorithm with trend search and co-evolution. - Xuming Han; Qiaoming Liu; Hongzhi Wang 004; Limin Wang 011 (Knowl. Based Syst., 2018)

FREDPC: A Feasible Residual Error-Based Density Peak Clustering Algorithm With the Fragment Merging Strategy. - Milan Deepak Parmar; Wei Pang 001; Dehao Yu; Jianhua Jiang; Liupu Wang; Limin Wang 011; You Zhou 008 (IEEE Access, 2019)

A Novel Self-Adaptive Affinity Propagation Clustering Algorithm Based on Density Peak Theory and Weighted Similarity. - Limin Wang 011; Zhiyuan Hao; Wenjing Sun (IEEE Access, 2019)

A Novel Density Peaks Clustering Halo Node Assignment Method Based on K-Nearest Neighbor Theory. - Limin Wang 011; Wei Zhou 011; Honghuan Wang; Milan Deepak Parmar; Xuming Han (IEEE Access, 2019)

HaloDPC: An Improved Recognition Method on Halo Node for Density Peak Clustering Algorithm. - Jianhua Jiang; Wei Zhou 011; Limin Wang 011; Xin Tao; Keqin Li 001 (Int. J. Pattern Recognit. Artif. Intell., 2019)

Fast artificial bee colony algorithm with complex network and naive bayes classifier for supply chain network management. - Jianhua Jiang; Di Wu 002; Yujun Chen; Dianjia Yu; Limin Wang 011; Keqin Li 001 (Soft Comput., 2019)

A method of two-stage clustering learning based on improved DBSCAN and density peak algorithm. - Mingyang Li; Xinhua Bi; Limin Wang 011; Xuming Han (Comput. Commun., 2021)

A novel adaptive density-based spatial clustering of application with noise based on bird swarm optimization algorithm. - Limin Wang 011; Honghuan Wang; Xuming Han; Wei Zhou 011 (Comput. Commun., 2021)

An improved OIF Elman neural network based on CSO algorithm and its applications. - Yufei Zhang 004; Jianping Zhao 002; Limin Wang 011; Honggang Wu; Ruihong Zhou; Jinglin Yu (Comput. Commun., 2021)

An Improved Integrated Clustering Learning Strategy Based on Three-Stage Affinity Propagation Algorithm with Density Peak Optimization Theory. - Limin Wang 011; Wenjing Sun; Xuming Han; Zhiyuan Hao; Ruihong Zhou; Jinglin Yu; Milan Deepak Parmar (Complex., 2021)

Modified semi-supervised affinity propagation clustering with fuzzy density fruit fly optimization. - Ruihong Zhou; Qiaoming Liu; Jian Wang; Xuming Han; Limin Wang 011 (Neural Comput. Appl., 2021)

SSCG: Spatial Subcluster Clustering Method by Grid-Connection. - Yihang Zhang; Xuming Han; Limin Wang 011; Weitong Chen 001; Linliang Guo (APWeb/WAIM (2), 2022)

A Backbone Whale Optimization Algorithm Based on Cross-stage Evolution. - Xin Yang; Limin Wang 011; Zhiqi Zhang; Xuming Han; Lin Yue (ICSI (1), 2022)

Multi-objective Evolutionary Algorithm with Adaptive Fitting Dominant Hyperplane. - Zhiqi Zhang; Limin Wang 011; Xin Yang; Xuming Han; Lin Yue (ICSI (1), 2022)

A novel deviation density peaks clustering algorithm and its applications of medical image segmentation. - Wei Zhou 011; Limin Wang 011; Xuming Han; Mingyang Li (IET Image Process., 2022)

Text Similarity Measurement Method and Application of Online Medical Community Based on Density Peak Clustering. - Mingyang Li; Xinhua Bi; Limin Wang 011; Xuming Han; Lin Wang; Wei Zhou 011 (J. Organ. End User Comput., 2022)

DBM-CNER: A Dual-Branch Multifeature Model for Chinese Named Entity Recognition. - Yuwei Wang; Limin Wang 011; Hanlin Li; Xuming Han (ICIAI, 2023)

Adaptive Density Spatial Clustering Method Fusing Chameleon Swarm Algorithm. - Wei Zhou 011; Limin Wang 011; Xuming Han; Yizhang Wang; Yufei Zhang 004; Zhiyao Jia (Entropy, 2023)

ROCM: A Rolling Iteration Clustering Model Via Extracting Data Features. - Linliang Guo; Limin Wang 011; Xuming Han; Lin Yue; Yihang Zhang; Minghan Gao (Neural Process. Lett., 2023)

A multiobjective differential evolution algorithm with subpopulation region solution selection for global and local Pareto optimal sets. - Ting Zhou; Xuming Han; Limin Wang 011; Wensheng Gan; Yali Chu; Minghan Gao (Swarm Evol. Comput., 2023)

Adaptive Aggregative Multitask Competitive Particle Swarm Optimization with Bi-Directional Asymmetric Flip Strategy for High-Dimensional Feature Selection. - Yong Zhang 002; Ke-Jing Du; Yi Jiang; Li-Min Wang 011; Hua Wang 002; Zhi-Hui Zhan (GECCO, 2024)

Multi-objective Demand Responsive Transit Scheduling in Smart City: A Multiple Populations Ant Colony System Approach. - Ke-Jing Du; Jia-Quan Yang; Limin Wang 011; Xuming Han; Hua Wang 002; Zhi-Hui Zhan (ICACI, 2024)

A review of convolutional neural networks in computer vision. - Xia Zhao; Limin Wang 011; Yufei Zhang 004; Xuming Han; Muhammet Deveci; Milan D. Parmar (Artif. Intell. Rev., 2024)

Multi-agent reinforcement learning framework based on information fusion biometric ticketing data in different public transport modes. - Abdullah Lakhan; Ahmed Noori Rashid; Mazin Abed Mohammed; Dilovan Asaad Zebari; Muhammet Deveci; Limin Wang 011; Karrar Hameed Abdulkareem; Jan Nedoma; Radek Martinek (Inf. Fusion, 2024)

TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning. - Xuming Han; Yali Chu; Eric Ke Wang; Limin Wang 011; Lin Yue; Weiping Ding 001 (Inf. Sci., 2024)

A convolutional neural network based on an evolutionary algorithm and its application. - Yufei Zhang 004; Limin Wang 011; Jianping Zhao 002; Xuming Han; Honggang Wu; Mingyang Li; Muhammet Deveci (Inf. Sci., 2024)

A comprehensive analysis of multi-strategic RIME algorithm for UAV path planning in varied terrains. - Tao Gu 014; Yajuan Zhang; Limin Wang 011; Yufei Zhang 004; Muhammet Deveci; Xin Wen 006 (J. Ind. Inf. Integr., 2025)

Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning. - Pei Huang 019; Zhaoming Kong; Limin Wang 011; Xuming Han; Xiaowei Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)