Xuming Han

According to our database, Xuming Han authored at least 39 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

IEEE Internet Things J., June, 2024

Confidence-Based Similarity-Aware Personalized Federated Learning for Autonomous IoT.

Xuming Han, Qiaohong Zhang, Zaobo He, Zhipeng Cai

IEEE Internet Things J., April, 2024

A convolutional neural network based on an evolutionary algorithm and its application.

Yufei Zhang, Limin Wang, Jianping Zhao, Xuming Han, Honggang Wu, Mingyang Li, Muhammet Deveci

Inf. Sci., 2024

TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning.

Xuming Han, Yali Chu, Eric Ke Wang, Limin Wang, Lin Yue, Weiping Ding

Inf. Sci., 2024

MDBSCAN: A multi-density DBSCAN based on relative density.

Jiaxin Qian, You Zhou, Xuming Han, Yizhang Wang

Neurocomputing, 2024

A review of convolutional neural networks in computer vision.

Xia Zhao, Limin Wang, Yufei Zhang, Xuming Han, Muhammet Deveci, Milan Parmar

Artif. Intell. Rev., 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, Xuming Han, Hua Wang, Zhi-Hui Zhan

Proceedings of the 16th International Conference on Advanced Computational Intelligence, 2024

2023

A multiobjective differential evolution algorithm with subpopulation region solution selection for global and local Pareto optimal sets.

Ting Zhou, Xuming Han, Limin Wang, Wensheng Gan, Yali Chu, Minghan Gao

Swarm Evol. Comput., December, 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, Weiping Ding, Siu-Ming Yiu, Jian Weng

Pattern Recognit., November, 2023

Targeted mining of top-k high utility itemsets.

Shan Huang, Wensheng Gan, Jinbao Miao, Xuming Han, Philippe Fournier-Viger

Eng. Appl. Artif. Intell., November, 2023

ROCM: A Rolling Iteration Clustering Model Via Extracting Data Features.

Linliang Guo, Limin Wang, Xuming Han, Lin Yue, Yihang Zhang, Minghan Gao

Neural Process. Lett., 2023

Adaptive Density Spatial Clustering Method Fusing Chameleon Swarm Algorithm.

Wei Zhou, Limin Wang, Xuming Han, Yizhang Wang, Yufei Zhang, Zhiyao Jia

Entropy, 2023

DBM-CNER: A Dual-Branch Multifeature Model for Chinese Named Entity Recognition.

Yuwei Wang, Limin Wang, Hanlin Li, Xuming Han

Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence, 2023

A Depth-Guided Attention Strategy for Crowd Counting.

Hao Chen, Zhan Li, Bir Bhanu, Dongping Lu, Xuming Han

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Text Similarity Measurement Method and Application of Online Medical Community Based on Density Peak Clustering.

Mingyang Li, Xinhua Bi, Limin Wang, Xuming Han, Lin Wang, Wei Zhou

J. Organ. End User Comput., 2022

A novel deviation density peaks clustering algorithm and its applications of medical image segmentation.

Wei Zhou, Limin Wang, Xuming Han, Mingyang Li

IET Image Process., 2022

Multi-objective Evolutionary Algorithm with Adaptive Fitting Dominant Hyperplane.

Zhiqi Zhang, Limin Wang, Xin Yang, Xuming Han, Lin Yue

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

A Backbone Whale Optimization Algorithm Based on Cross-stage Evolution.

Xin Yang, Limin Wang, Zhiqi Zhang, Xuming Han, Lin Yue

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

SSCG: Spatial Subcluster Clustering Method by Grid-Connection.

Yihang Zhang, Xuming Han, Limin Wang, Weitong Chen, Linliang Guo

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Modified semi-supervised affinity propagation clustering with fuzzy density fruit fly optimization.

Ruihong Zhou, Qiaoming Liu, Jian Wang, Xuming Han, Limin Wang

Neural Comput. Appl., 2021

An Improved Integrated Clustering Learning Strategy Based on Three-Stage Affinity Propagation Algorithm with Density Peak Optimization Theory.

Limin Wang, Wenjing Sun, Xuming Han, Zhiyuan Hao, Ruihong Zhou, Jinglin Yu, Milan Deepak Parmar

Complex., 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

A novel adaptive density-based spatial clustering of application with noise based on bird swarm optimization algorithm.

Limin Wang, Honghuan Wang, Xuming Han, Wei Zhou

Comput. Commun., 2021

A method of two-stage clustering learning based on improved DBSCAN and density peak algorithm.

Mingyang Li, Xinhua Bi, Limin Wang, Xuming Han

Comput. Commun., 2021

CS-Siam: Siamese-Type Network Tracking Method with Added Cluster Segmentation.

Xuming Han, Qi Qin, Yuwei Wang, Yihang Zhang, Hanlin Li, Zihe Liu

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020

Deep learning for heterogeneous medical data analysis.

Lin Yue, Dongyuan Tian, Weitong Chen, Xuming Han, Minghao Yin

World Wide Web, 2020

Chinese Clinical Named Entity Recognition Based on Stroke-Level and Radical-Level Features.

Feng Zhou, Xuming Han, Qiaoming Liu, Mingyang Li, Yong Li

Proceedings of the Smart Computing and Communication - 5th International Conference, 2020

2019

A Novel Density Peaks Clustering Halo Node Assignment Method Based on K-Nearest Neighbor Theory.

Limin Wang, Wei Zhou, Honghuan Wang, Milan Deepak Parmar, Xuming Han

IEEE Access, 2019

Statistical Analysis for Detection of Sensitive Data Using Hadoop Clusters.

Binod Kumar Adhikari, Wanli Zuo, Ramesh Maharjan, Xuming Han, Prakash Bahadur Amatya, Wajid Ali

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Novel fruit fly optimization algorithm with trend search and co-evolution.

Xuming Han, Qiaoming Liu, Hongzhi Wang, Limin Wang

Knowl. Based Syst., 2018

2015

A fuzzy document clustering approach based on domain-specified ontology.

Lin Yue, Wanli Zuo, Tao Peng, Ying Wang, Xuming Han

Data Knowl. Eng., 2015

2014

An improved affinity propagation clustering algorithm based on principal component analysis and variation coefficient.

Limin Wang, Li Zhang, Xuming Han, Na Huang, Xintong Guo

Int. J. Wirel. Mob. Comput., 2014

2012

Dynamic recurrent Elman neural network based on immune clonal selection algorithm.

Limin Wang, Xuming Han, Ming Li

Proceedings of the Fourth International Conference on Digital Image Processing, 2012

Research of communication application program based on Windows Sockets.

Limin Wang, Xuming Han

Proceedings of the Fourth International Conference on Digital Image Processing, 2012

2008

Research on Teaching Reform of Computer Basic Courses in Technology Universities.

Xuming Han, Limin Wang, Wanli Zuo, Hongzhi Wang, Guojun Chen

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

SOM2W and RBF Neural Network-Based Hybrid Models and Their Applications to New Share Pricing.

Xuming Han, Limin Wang, Xiaohu Shi, Yanchun Liang

Proceedings of the Fourth International Conference on Natural Computation, 2008

An Immune Algorithm-Based Atmospheric Quality Assessment Model and Its Applications.

Limin Wang, Xuming Han, Ming Li, Guojun Chen, Chijun Zhang, Huimin Zhang

Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2006

An Improved OIF Elman Neural Network and Its Applications to Stock Market.

Limin Wang, Yanchun Liang, Xiaohu Shi, Ming Li, Xuming Han

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

An Improved Elman Neural Network with Profit Factors and Its Applications.

Limin Wang, Xiaohu Shi, Yanchun Liang, Xuming Han

Proceedings of the Intelligent Computing, 2006