Yunlong HE

Detail-orientated researcher and programmer analyst with vast experience in the field of computer vision and medical image analysis. Skilled in machine learning techniques and deep neural networks, with a proven track record of publishing in high-quality journals and presenting at conferences. Out-of-the-box thinker and problem solver dedicated to improving performance. Works well in teams and consistently delivers to deadlines.

• He Y, Wang L, Yang F, Clarysse P, Zheng Y, Deng Z, Robini M, Zhu Y. Compensation of motion-induced signal loss in in vivo DTI of the human heart using GAN Based super angular resolution. IEEE transaction on medical imaging (TMI), 2023, under review.
• He Y, Wang L, Yang F, Clarysse P, Robini M, Zhu Y. Effect of different configurations of diffusion gradient directions on accuracy of diffusion tensor estimation in cardiac DTI. IEEE ICSP’22 & 3rd Sino-French Workshop 2022, Beijing, China, October 21-24, accepted, 2022.
• He Y, Wang L, Yang F, Clarysse P, Zhu Y. Study of motion compensation for in vivo DTI of the human heart. 2nd Sino-French Workshop on “Medical Image Analysis and AI”, Virtual, France, October 25-26, 2021.
• He Y, Wang L, Yang F, Xia Y, Clarysse P, Zhu Y, Systematic study of joint influence of angular resolution and noise in cardiac diffusion tensor imaging. 11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Stanford, CA, USA, June 21-25, LNCS, vol. 12738, pp. 200–210, 2021.
• He Y, Wang L, Yang F, Clarysse, P, Zhu Y, Deep group-wise angular translation of cardiac diffusion MRI in q-space via manifold regularized GAN. 15th IEEE International Conference on Signal Processing, ICSP 2020, Beijing, China, December 6-9, vol. 1, pp. 511–515, 2020.
• Jiang Y, Zheng Y, Sui X, Jiao W, He Y, Jia W. ASRNet: Adversarial Segmentation and Registration Networks for Multispectral Fundus Images. Computer Systems Science and Engineering, May Vol. 3, pp: 537-549, 2021.
• Sui X, Zheng Y, He Y, Jia W. Symmetric Deformable Registration via Learning a Pseudomean for MR Brain Images. Journal of Healthcare Engineering. 2021 Apr 23, 2021.
• Yang M, Zheng Y, Jia W, He Y, Che T, Cong J. Joint Deep Matching Model of OCT Retinal Layer Segmentation. Computers, Materials & Continua, vol. 3, pp.1485-1498, 2020.
• Chen Y, Zhao Y, He Y, Xu F, Jia W, Lian J, Zheng Y. Face identification with top-push constrained generalized low-rank approximation of matrices. IEEE Access, vol. 7, pp.160998-161007, 2019.
• He Y, Jiao W, Shi Y, Lian J, Zhao B, Zou W, Zhu Y, Zheng Y. Segmenting diabetic retinopathy lesions in multispectral images using low-dimensional spatial-spectral matrix representation. IEEE journal of biomedical and health informatics (JBHI), vol. 24, pp. 493-502, 2019.
• Chen Y, Zhao Y, He Y, Xu F, Jia W, Lian J, Zheng Y. Face identification with top-push constrained generalized low-rank approximation of matrices. IEEE Access, vol. 7, pp. 160998–161007, 2019.
• Sun Z, Qi M, Lian J, Jia W, Zou W, He Y, Liu H, Zheng Y. Image segmentation by searching for image feature density peaks. Applied Sciences, vol. 8, pp. 969, 2018.
• Hou K, Liu N, Jia W, He Y, Lian J, Zheng Y. Optic disc detection from fundus photography via best-buddies similarity. Applied Sciences, vol. 8, pp. 709, 2018.
• Ren X, Zheng Y, Zhao Y, Luo C, Wang H, Lian J, He Y. Drusen segmentation from retinal images via supervised feature learning. IEEE Access, vol. 6, pp. 2952–2961, 2017.
• He Y, Zheng Y, Zhao Y, Ren Y, Lian J, Gee J. Retinal image denoising via bilateral filter with a spatial kernel of optimally oriented line spread function. Computational and mathematical methods in medicine, vol. 2017, 2017.
• Song S, Zheng Y, He Y. A review of methods for bias correction in medical images. Biomedical Engineering Review. vol. 1, No: 1, 2017.
• Cong J, Wei B, He Y, Yin Y, Zheng Y. A selective ensemble classification method combining mammography images with ultrasound images for breast cancer diagnosis. Computational and mathematical methods in medicine, vol. 2017, 2017.

• 15th IEEE International Conference on Signal Processing (ICSP 2020), Beijing, China, December 6-9, 2020, poster presentation.
• 11th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2021), Stanford, CA, USA, June 21-25, LNCS, oral presentation.
• 2nd Sino-French Workshop on “Medical Image Analysis and AI”, Virtual, France, October 25-26, 2021, oral presentation.
• IEEE ICSP’22 & 3rd Sino-French Workshop 2022, Beijing, China, October 21-24, 2022, oral presentation.

2022 Best Paper of conference IEEE ICSP 2022

2018 China Scholarship Council (CSC) Scholarship

2017 Postgraduate academic excellence scholarship, Outstanding Master’s thesis

2017 Patent award, granted No. CN107146211A

2016 Excellence postgraduate scholarship

2015 Outstanding graduate student

2014 Outstanding library volunteers, outstanding youth volunteers

2019-2020 Served as regular reviewer for many journals related to doctoral project, including:

• Neural Computing and Applications (NCAA)
• IEEE Transactions on Industrial Informatics
• IEEE Network Magazine

Grant No. 61572300 

PI: Yuanjie Zheng

Funding Organization: National Natural Science Foundation of China

Amount Awarded: ¥ 640,000 

Period of Grant Award: from 2016-01-01 to 2019-12-31.

Title of Project: Key techniques for automatic analysis of retinal optical coherence tomography (OCT) images.

Role on Project: Designed and implemented a part of experiments, independently completed some research problems related to retinal image segmentation.

Yuemin Zhu

Professor and Permanent CNRS Research Director, 

CREATIS CNRS UMR 5220 & INSERM unit 1044

Building B. Pascal INSA Lyon 69621 Villeurbanne cedex France

E mail : zhu@creatis.insa-lyon.fr

Tel. +33 4 72 43 89 74 Fax. +33 4 72 43 85 26

Yuanjie Zheng 

Professor, Ph.D. Supervisor, and Vice-dean of Information and Science and Engineering, Shandong Normal University

Taishan Scholar of People’s Government of Shandong Province, China

Senior Research Investigator, University of Pennsylvania

E-mail: zhengyuanjie@gmail.com 

Tel: +86 18366139958

Wen Gao 

Professor and Director, Faculty of Information and Engineering Sciences, Peking University, China

Member, Chinese Academy of Engineering

E-mail: wgao@pku.edu.cn.com 

Tel: +86 13901067293