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 Objects, Measurement 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 Recognition, Pattern 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.