近两年部分论文
[1] HanXuming, Yali Chu, et al. TAILOR: inTer-feAture distinctIon fiLter fusiOn pRuning. Information Sciences ( INS ), 2024, 120229.【中科院一区, TOP, IF:8.1, CCF-B】
[2] Xuming Han, Qiaohong Zhang, et al. Confidence-Based Similarity-Aware Personalized Federated Learning for Autonomous IoT.IEEE Internet of Things Journal ( IOTJ ), 2023. 【中科院一区, TOP, IF:10.6, CCF-C】
[3] ZhouTing, Xuming Han*, Limin Wang, et al. A multiobjective differential evolution algorithm with subpopulation region solution selection for global and local Pareto optimal sets. Swarm and Evolutionary Computation (SWEVO). 2023, 83:101423. 【中科院一区, TOP, IF:10.2】
[4] Zhao, Xia, Limin Wang, Yufei Zhang, Xuming Han*, et al. A review of convolutional neural networks in computer vision. Artificial Intelligence Review, 2024, 57(4): 1-43.【中科院二区, TOP, IF: 12.0】
[5] QianJiaxin, You Zhou, Xuming Han*, and Yizhang Wang. MDBSCAN: A multi-density DBSCAN based on relative density.Neurocomputing, 2024, 576: 127329.【中科院二区, TOP, IF: 6.0, CCF-C】
[6] Zhou Shan, Xianting Huang, Mohammad S. Obaidat, Bander A. Alzahrani, Xuming Han*, et al. Transferability of Adversarial Attacks on Tiny Deep Learning Models for IoT Unmanned Aerial Vehicles. IEEE Internet of Things Journal ( IOTJ ), 2023. 【中科院一区, Top, IF:10.6, CCF-C】
[7] Huang Shan, Wensheng Gan, Jinbao Miao, Xuming Han, et al. Targeted mining of top-k high utility itemsets. Engineering Applications of Artificial Intelligence (EAAI), 2023, 126: 107047. 【中科院一区, TOP, IF: 8.0, CCF-C】
[8] Wang Ke, Zicong Chen, Xilin Dang, Xuan Fan, Xuming Han, et al. Uncovering hidden vulnerabilities in convolutional neural networks through graph-based adversarial robustness evaluation.Pattern Recognition (PR), 2023, 143: 109745.【中科院一区, TOP, IF: 8.5, CCF-C]
[9] Wang Limin, Honghuan Wang, Xuming Han*, and Wei Zhou. A novel adaptive density-based spatial clustering of application with noise based on bird swarm optimization algorithm.Computer Communications (CC), 2021,174: 205-214. 【JCR Q1, IF: 6.0, CCF-C】
[10] Mingyang Li, Xinhua Bi, Limin Wang, and Xuming Han*. A method of two-stage clustering learning based on improved DBSCAN and density peak algorithm. Computer Communications (CC), 2021, 167: 75-84.【JCR Q1, IF: 6.0, CCF-C】
部分科研项目
[1] 国家自然科学基金. 大数据环境下基于群体协同智能聚类的关键技术研究.
[2] 国家自然科学基金. 云计算环境下部分标签大数据高效处理与深度分析研究.
[3] 国家自然科学基金. 基于半监督吸引子传播聚类的上市公司绩效评价研究.
[3] 国家外专局重点引智项目. 大数据环境下基于半监督聚类关键技术研究.
[4] 省科技发展计划技术攻关项目. 大数据环境下群体智能优化与聚类关键技术研究及其在超市防损领域中的应用.
[5] 省产业技术研究与开发专项项目. 新型群体智能优化与聚类关键技术研究及其在行业领域大数据分析中的应用.