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

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)

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)

A fuzzy document clustering approach based on domain-specified ontology. - Lin Yue; Wanli Zuo; Tao Peng 003; Ying Wang 009; Xuming Han (Data Knowl. Eng., 2015)

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)

Statistical Analysis for Detection of Sensitive Data Using Hadoop Clusters. - Binod Kumar Adhikari; Wanli Zuo; Ramesh Maharjan; Xuming Han; Prakash Bahadur Amatya; Wajid Ali (HPCC/SmartCity/DSS, 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)

Chinese Clinical Named Entity Recognition Based on Stroke-Level and Radical-Level Features. - Feng Zhou; Xuming Han; Qiaoming Liu; Mingyang Li; Yong Li (SmartCom, 2020)

Deep learning for heterogeneous medical data analysis. - Lin Yue; Dongyuan Tian; Weitong Chen 001; Xuming Han; Minghao Yin (World Wide Web, 2020)

CS-Siam: Siamese-Type Network Tracking Method with Added Cluster Segmentation. - Xuming Han; Qi Qin; Yuwei Wang; Yihang Zhang; Hanlin Li; Zihe Liu (ADMA, 2021)

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)

MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion. - Xuming Han; Feng Zhou; Zhiyuan Hao; Qiaoming Liu; Yong Li; Qi Qin (Complex., 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)

A Depth-Guided Attention Strategy for Crowd Counting. - Hao Chen; Zhan Li 004; Bir Bhanu; Dongping Lu; Xuming Han (ICANN (10), 2023)

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)

Targeted mining of top-k high utility itemsets. - Shan Huang 009; Wensheng Gan; Jinbao Miao; Xuming Han; Philippe Fournier-Viger (Eng. Appl. Artif. Intell., 2023)

Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation. - Eric Ke Wang; Zicong Chen; Xilin Dang; Xuan Fan; Xuming Han; Chien-Ming Chen 001; Weiping Ding 001; Siu-Ming Yiu; Jian Weng 001 (Pattern Recognit., 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)

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)

MDBSCAN: A multi-density DBSCAN based on relative density. - Jiaxin Qian; You Zhou 008; Xuming Han; Yizhang Wang (Neurocomputing, 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)

Confidence-Based Similarity-Aware Personalized Federated Learning for Autonomous IoT. - Xuming Han; Qiaohong Zhang; Zaobo He; Zhipeng Cai 001 (IEEE Internet Things J., 2024)

Transferability of Adversarial Attacks on Tiny Deep Learning Models for IoT Unmanned Aerial Vehicles. - Shan Zhou; Xianting Huang; Mohammad S. Obaidat; Bander A. Alzahrani; Xuming Han; Saru Kumari; Chien-Ming Chen 001 (IEEE Internet Things J., 2024)

An evolutionary algorithm with dynamic grouping-based reproduction for sparse multi-objective optimization. - Junpeng Cheng; Xuming Han; Yali Chu; Ting Zhou (CEC, 2025)

A binary linear predictive evolutionary algorithm with feature analysis for multiobjective feature selection in classification. - Ting Zhou; Limin Wang; Xuming Han; Zhiquan Liu; Minghan Gao (Eng. Appl. Artif. Intell., 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)

An Efficient and Multi-Dimensional Privacy-Preserving Platoon Communication Scheme in Vehicular Networks. - Nuo Xu; Zhiquan Liu; Xuming Han; Quanlong Guan; Heng Sun; Xiujie Huang; Jianfeng Ma 001 (IEEE Trans. Intell. Transp. Syst., 2025)