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何再兴 博士
副教授 | 硕士生导师
二维码
2022-09-17 | 15969
  • 杭州市浙大路38号浙江大学玉泉校区教1-418
    • · 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

个人简介

   IEEE Transactions on Consumer Electronics特刊征稿:由本人与IEEE CTSoc Technical Committee的同事共同组织的特刊 "Consumer Electronics with Artificial Intelligence – Part I"征稿,欢迎各位学者投稿(投稿网址)投稿时请选择本特刊。

CFP - IEEE TCE SI on CEs with AI - Part 1.pdf

  • Deadline for manuscript submissions: 15 SEPTEMBER 2022


   JCR Q1区SCI期刊Mathematics 特刊征稿:由本人组织并担任客座主编的特刊"New Trends of Machine Learning Applications in Computer Graphics and Image Processing"征稿,欢迎各位学者投稿投稿网址)。

  • Deadline for manuscript submissions: 31 December 2022  (投稿即进入审稿流程,早投稿早审稿早出版,请各位尽早投稿)。

 

    何再兴,男, 浙江大学副教授, 获浙江大学学士(06)、硕士(08),日本Hokkaido University(北海道大学)博士学位(12)。


    长期从事智能视觉检测技术与装备设计研究,研究方向主要涉及机器人视觉、光学三维测量、缺陷检测等技术及相关机器人、检测装备设计制造,在这些方面展开了系统、深入的研究,取得了一系列具有国际影响力的创新性研究成果。近年来以第一/通讯作者发表SCI论文43篇,其中TOP期刊论文27篇(63%):中科院1区TOP期刊论文12篇(28%)——《IEEE Transactions on Industrial Informatics》(IF=11.648)、《IEEE Transactions on Industrial Electronics》(IF=8.162)、《Pattern Recognition》(IF=8.518),《IEEE-ASME Transactions on Mechatronics》(IF=5.867),中科院2区TOP期刊或浙江大学TOP期刊论文15篇(35%)——《IEEE Transactions on Instrumentation and Measurement》(IF=5.332)、《Neurocomputing》(IF=5.779)、《Measurement Science & Technology》(IF=2.398)等。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、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28项。


主要学术兼职等:

(1) IEEE 高级会员(Senior Member);

(2) IEEE Intelligent Transportation Systems Society 技术委员会委员;

(3) IEEE Consumer Technology Society 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。


本人致力于做一流的、贴近工业应用的科学研究,发表一流的学术成果。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。另外欢迎成绩优异,学有余力的同学参与课题组的科研训练项目(SRTP等)。


代表性TOP期刊论文 ( 注:TOP期刊指中科院或浙江大学TOP期刊): 

  • [24] Z. He, P. Li, X. Zhao, S. Zhang, and J. Tan. Fast Projection Defocus Correction for Multiple Projection Surface Types, IEEE Transactions on Industrial Informatics 中科院1区TOP期刊, IF=10.215, vol. 17, no. 5, pp. 3044-3055, May 2021.

  • [23] J. Jiang, Z. He, X. Zhao, S. Zhang, C. Wu, and Y. Wang. Improving 6DoF Object Pose Estimation with 2D Keypoint Long-Short-Range-Aware Registration, IEEE Transactions on Industrial Informatics 中科院1区TOP期刊IF=10.215, Online,  2022.

  • [22] Z. He, M. Wu, X. Zhao, S. Zhang, and J. Tan. Representative null space LDA for discriminative dimensionality reduction, Pattern Recognition 中科院1区TOP期刊, IF= 7.740, vol. 111, 107664, March 2021.

  • [21] Z. He, L. Kang, X. Zhao, S. Zhang, and J. Tan. Robust Laser Stripe Extraction for 3D Measurement of Complex ObjectsMeasurement Science and Technology TOP期刊IF=2.046, vol. 32, no. 6, 065002, Jun 2021.

  • [20] Z. He, M. Wu, X. Zhao, S. Zhang, and J. Tan. A generative feature-to-image robotic vision framework for 6-D pose estimation of metal parts, IEEE-ASME Transactions on Mechatronics 中科院1区TOP期刊, IF=5.303, Published Online, 2022.

  • [19] C. Wu, L. Chen, Z. He and J. Jiang. Pseudo-Siamese Graph Matching Network for Textureless Objects’ 6-D Pose Estimation, IEEE Transactions on Industrial Electronics 中科院1区TOP期刊IF= 8.236, vol. 69, no. 3, pp. 2718-2727, March 2022.

  • [18] F. Guo, Z. He, S. Zhang, X. Zhao, J. Fang, and J. Tan. Normalized Edge Convolutional Networks for Skeleton-based Hand Gesture RecognitionPattern Recognition 中科院1区TOP期刊, IF= 7.740, vol. 118, 108044, Oct 2021.

  • [17] J. Jiang, Z. He, S. Zhang, X. Zhao, and J. Tan. Learning to transfer focus of graph neural network for scene graph parsing, Pattern Recognition 中科院1区TOP期刊, IF= 7.740, vol. 112, 107707, Apr 2021.

  • [16] Z. He, P. Li, X. Zhao, L. Kang, S. Zhang and J. Tan. Chessboard-Like High-Frequency Patterns for 3D Measurement of Reflective Surface, IEEE Transactions on Instrumentation and Measurement TOP期刊, IF= 4.016, vol. 70, Apr 2021.

  • [15] Z. He, W. Feng, X. Zhao, S. Zhang, and J. Tan. 6D pose measurement of metal parts based on virtual geometric feature point matching, Measurement Science and Technology TOP期刊IF=2.046, vol. 32, No. 12, 125210, October 2021

  • [14] Z. He, Z. Jiang, X. Zhao, S. Zhang and C. Wu. Sparse Template-Based 6-D Pose Estimation of Metal Parts Using a Monocular Camera, IEEE Transactions on Industrial Electronics 中科院1区TOP期刊IF= 8.236, vol. 67, no. 1, pp. 390-401, Jan. 2020.

  • [13] Z. He, H. Wang, X. Zhao, S. Zhang, and J. Tan. Inward-region-growing-based accurate partitioning of closely stacked objects for bin-picking, Measurement Science and Technology TOP期刊IF=2.046, vol. 31, no. 12, 125901, Dec 2020.

  • [12] Z. He, P. Li, X. Zhao, S. Zhang, and J. Tan. Beyond phase error compensation: pixel mapping-based error correction for high-accuracy 3D surface measurement, Measurement Science and Technology TOP期刊IF=2.046, vol. 31, no. 6, 065007, Jun 2020.

  • [11] X Zhao, Q Lian, Z He, and S Zhang. Region-based online flaw detection of 3D printing via fringe projection. Measurement Science and Technology TOP期刊IF=2.046, vol. 31, 035011, Mar 2020.

  • [10] Z. He, C. Wu, S. Zhang and X. Zhao. Moment-Based 2.5-D Visual Servoing for Textureless Planar Part Grasping, IEEE Transactions on Industrial Electronics 中科院1区TOP期刊IF= 8.236, vol. 66, no. 10, pp. 7821-7830, Oct. 2019

  • [9] C. Wu, Z. He, S. Zhang, and X. Zhao. A circular feature-based pose measurement method for metal part grasping, Measurement Science and Technology TOP期刊IF=2.046, vol. 28, no. 2, 115009, Oct 2017.

  • [8] F. Hu, Z. He, X. Zhao, and S. Zhang. A novel vision-based mold monitoring system in an environment of intense vibration. Measurement Science and Technology TOP期刊IF=2.046, vol. 28, no. 10, 105906,  Oct 2017.

  • [7] X. He, Z. He, S. Zhang, and X. Zhao. A Novel Vision-based Pet Bottle Recycling Facility, Measurement Science and Technology TOP期刊IF=2.046, vol. 28, no. 2, 025601,Feb 2017. 

  • [6] Z. He, T. Ogawa, S. Takahashi, M. Haseyama, and X. Zhao, Improvement of  Video Coding Efficiency Based On Sparse Contractive Mapping Approach, Neurocomputing TOP期刊IF=5.719, vol. 173, pp. 1898-1907, Jan 2016.

  • [5] X. Zhao, Z. He, S. Zhang, and D. Liang. Robust Pedestrian Detection In Thermal Infrared Imagery Using A Shape Distribution Histogram Feature And Modified Sparse Representation Classification, Pattern Recognition 中科院1区TOP期刊, IF= 7.740, vol. 48, no. 6, pp. 1947-1960, Jun 2015.

  • [4] Z. He, X Zhao. MSRC-based Defective Nanocrystalline Soft Magnetic Ribbon Detection, Measurement Science and Technology TOP期刊IF=2.046, vol. 26, no. 9, 095604, Sep 2015.

  • [3] X Zhao, Z. He, S Zhang. and D. Liang, A Sparse-Representation-based Robust Inspection System for Hidden Defects Classification in Casting Components, Neurocomputing TOP期刊IF=5.719, vol. 153, pp. 1-10, Apr 2015.

  • [2] Z. He, X. Zhao, and S. Zhang. Random Combination for Information Extraction In Compressed Sensing And Sparse Representation-based Pattern Recognition, Neurocomputing TOP期刊IF=5.719, vol. 145, pp. 160-173, Dec 2014. 

  • [1] X. Zhao, Z. He, S. Zhang, S. Kaneko, and Y. Satoh. Robust Face Recognition Using the Gap Feature, Pattern Recognition 中科院1区TOP期刊, IF= 7.740, vol. 46, no. 10, pp. 2647-2657, Oct 2013.


 


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