何再兴
副教授
个人简介
何再兴,男, 浙江大学副教授, 获浙江大学(机械)学士(06)、硕士(08),日本北海道大学(计算机)博士学位(12)。 长期从事机器(人)视觉、人工智能算法与智能检测装备、机器人具身智能方面的研究,取得了一系列具有国际影响力的创新性研究成果 获浙江省科技进步一等奖1项,近年来以第一/通讯作者发表SCI论文50余篇,其中约三分之二发表于TOP期刊(中科院1/2区、(原)浙大TOP期刊),在领域顶级期刊《IEEE Transactions on Robotics》、《IEEE-ASME Transactions on Mechatronics》、《IEEE Transactions on Industrial Informatics》、《IEEE Transactions on Industrial Electronics》、《Pattern Recognition》、《IEEE Transactions on Instrumentation and Measurement》等期刊上发表原创性研究长文近20篇。获2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) 国际会议最佳论文金奖(435 篇论文中选出唯一1篇)。主持国家自然科学基金(3项)、国家科技重大专项子课题、国家重点研发计划子课题等重要项目10多项,授权发明专利30余项。 课题组致力于做一流的、贴近工业应用的科学技术研究,发表一流的学术成果并实现技术应用,毕业生多就业于国际一流企业或高校。欢迎有志于科研的本校及外校保研同学加入课题组(请尽早与本人联系),在本课题组需要有刻苦专研精神、良好的算法编程基础,欢迎对前沿技术感兴趣的同学(不欢迎以转码为目标的同学)。另外欢迎成绩优异,学有余力的本科生参与课题组的科研训练项目(SRTP等)。
研究领域
智能视觉检测与装备设计 机器人视觉;光学三维测量;缺陷检测;人工智能
学术兼职
(1) IEEE 高级会员(Senior Member); (2) IEEE ITSS技术委员会委员; (3) IEEE CTS 技术委员会委员; (4) SCI期刊Mathematics客座主编; (5) SCI期刊IEEE Transactions on Consumer Electronics客座编辑; (6) 多个国际会议程序委员会主席或组委会成员; (7) 20多个SCI期刊(10多个中科院1区)审稿人 包括《IEEE Transactions on Industrial Informatics》、《Pattern Recognition》、《IEEE Transactions on Signal Processing》、《IEEE Transactions on Circuits and Systems for Video Technology》、《IEEE Transactions on Intelligent Transportation Systems》、《IEEE-ASME Transactions on Mechatronics》、《IEEE Transactions on Industrial Electronics》等。
近期论文
[1] Z He, Z Jiang, X Zhao, S Zhang, C Wu, "Sparse template-based 6D pose estimation of metal parts using a monocular camera," IEEE Transactions on Industrial Electronics, 2020-01, 67, 1, 390-401, SCI (ZJU100, 工学顶级期刊, IF=7.503). [2] Z He, C Wu, S Zhang, X Zhao, "Moment-based 2 1/2D visual servoing for textureless planar part grasping," IEEE Transactions on Industrial Electronics, 2019-10, 66, 10, 7821-7830, SCI (ZJU100, 工学顶级期刊, IF=7.503). [3] X Zhao, *Z He, S Zhang, D Liang, Robust Pedestrian Detection In Thermal Infrared Imagery Using A Shape Distribution Histogram Feature And Modified Sparse Representation Classification, Pattern Recognition, 2015-06, 48, 6, 1947-1960, SCI(TOP, 模式识别顶级期刊,IF=5.898). [4] X Zhao, *Z He, S Zhang, S Kaneko, Y Satoh, Robust Face Recognition Using The Gap Feature, Pattern Recognition, 2013-10, 46, 10, 2647-2657, SCI(TOP, 模式识别顶级期刊,IF=5.898). [5] Z He, T Ogawa, S Takahashi, M Haseyama, X Zhao, Improvement Of Video Coding Efficiency Based On Sparse Contractive Mapping Approach, Neurocomputing, 2016-01, 173, , 1898-1907, SCI (JCR 1区期刊, IF=4.072). [6] Z He, X Zhao, S Zhang, Random Combination For Information Extraction In Compressed Sensing And Sparse Representation-based Pattern Recognition, Neurocomputing, 2014-12, 145, , 160-173, SCI (JCR 1区期刊, IF=4.072). [7] X Zhao, *Z He, S Zhang, D Liang, A Sparse-representation-based Robust Inspection System For Hidden Defects Classification In Casting Components, Neurocomputing, 2015-04, 153, , 1-10, SCI (JCR 1区期刊, IF=4.072). [8] Z He, X Zhao, Msrc-based Defective Nanocrystalline Soft Magnetic Ribbon Detection, Measurement Science & Technology, 2015-09, 26, 9, 095604, SCI(TOP, IF=1.861). [9] C Wu, *Z He, S Zhang, A circular feature-based pose measurement method for metal part grasping, Measurement Science & Technology, 2017-12, 28, 2, SCI(TOP, IF=1.861). [10] F Hu, *Z He, X Zhao, S Zhang. A novel vision-based mold monitoring system in an environment of intense vibration. Measurement Science & Technology, 2017-10, 28, 10, 115009, SCI(TOP, IF=1.861). [11] X He, *Z He, S Zhang, A Novel Vision-based Pet Bottle Recycling Facility, Measurement Science & Technology, 2017-02, 28, 2, SCI(TOP, IF=1.861).