- 安凤平
- 最终学位：博士
导师类型：博士生导师
电子邮箱：anfengping@sxu.edu.cn
研究方向：人工智能、自主智能无人系统、数据隐私保护学习
- 个人简介
- 学术论文
- 科研项目
- 教材和专著
安凤平，博士，教授，博士生导师，“三晋英才”科技创新领域青年拔尖人才，山西大学科技处副处长(挂职)，毕业于北京科技大学，中国计算机学会、中国人工智能学会会员，主要面向国家和地方重大战略需求，从事人工智能、自主智能无人系统、数据隐私保护等方面研究。
近年来，先后主持国家自然科学基金面上项目、青年项目、省自然科学基金面上项目、国家博士后基金和北京蓝天航空科技股份有限公司、中电飞华等企业委托项目共10多项；在ieee tits、ieee tcss、ieee tnnls、eaai、information fusion、中国科学基金等国内外重要学术期刊与会议发表学术论文40余篇；曾获青海省科学技术二等奖(第1完成人)、中国电子学会科技进步三等奖(第3完成人)、江苏省高等学校科学技术研究成果三等奖(第1完成人)；连续入选美国斯坦福大学（stanford university）发布的全球前2%顶尖科学家榜单。相关研究成果已成功应用于电网、交通、安防等行业领域。主讲《人工智能导论》课程获第五届全国高等学校电子信息类专业青年教师授课竞赛三等奖。
[1] feng-ping an, jian-rong wang, ruijun liu. road traffic sign recognition algorithm based on cascade attention-modulation fusion mechanism[j]. ieee transactions on intelligent transportation systems, 2024, 25(11): 17841- 17851.(esi高被引论文、热点论文)
[2] feng-ping an, jun-e liu. pedestrian re-identification algorithm based on visual attention-positive sample generation network deep learning model [j]. information fusion, 2022, 86: 136-145.
[3] feng-ping an, jian-rong wang. pedestrian re-identification algorithm based on attention pooling-saliency detection and matching [j]. ieee transactions on computational social systems, 2023, 11(1): 1149-1157.
[4] feng-ping an, jian-rong wang. pedestrian re-identification algorithm based on multivariate manifold metric-anti-noise manifold space learning [j]. ieee transactions on emerging topics in computational intelligence, 2022, 7(1): 261-271.
[5] feng-ping an, jian-rong wang, liu r j. pedestrian re-identification algorithm based on global attention and region ranking[j]. engineering applications of artificial intelligence, 2025, 145: 1-10.
[6] feng-ping an, jian-rong wang. rolling bearing fault diagnosis algorithm using overlapping group sparse-deep complex convolutional neural network [j]. nonlinear dynamics, 2022, 108(3): 2353-2368.
[7] feng-ping an, jian-rong wang. image super-resolution reconstruction algorithm based on significant network connection-collaborative migration structure [j]. digital signal processing, 2022, 127: 1-10.
[8] feng-ping an, xing-min ma, lei bai. image fusion algorithm based on unsupervised deep learning-optimized sparse representation [j]. biomedical signal processing and control, 2022, 71: 1-13.
[9] feng-ping an, xiao-wei li, xing-min ma. medical image classification algorithm based on visual attention mechanism-mcnn[j]. oxidative medicine and cellular longevity, 2021, 3: 1-12.
[10] feng-ping an, jun-e liu, jian-rong wang. medical image segmentation algorithm based on positive scaling invariant-self encoding cca [j]. biomedical signal processing and control, 2021, 66: 1-16.
[11] feng-ping an, jun-e liu, lei bai. object recognition algorithm based on optimized nonlinear activation function-global convolutional neural network [j]. visual computer, 2021: 1-13.
[12] feng-ping an, jian-rong wang. target detection algorithm based on multilayer attention mechanism-adaptive feature fusion network[j]. international journal of machine learning and cybernetics, 2023: 1-11.
[13] feng-ping an. image classification algorithm based on stacked sparse coding deep learning model-optimized kernel function non-negative sparse representation [j]. soft computing, 2020: 1-15.fengping an, zhi-wen liu. facial expression recognition algorithm based on parameter adaptive initialization of cnn and lstm [j]. visual computer, 2020: 1-16.
[1] 安凤平，王宪莲，陈贵宾，孙红兵，马兴民. 自适应图像处理算法及应用研究[m]. 北京：科学出版社，2019.
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