Haichuan Zhang
Biography
Haichuan Zhang is a Ph.D. student from the Pennsylvania State University, majoring in Electrical Engineering. He is a member of the Information Processing & Algorithms Laboratory (IPAL) and his supervisor is Prof. Vishal Monga. Previously, he was a science software engineer at the Institute of Multimedia Knowledge Fusion and Engineering after he got his Bachelor's Degree from Xian Jiaotong University, majoring in Computer Science. He proposed a Whole Slide Image (WSI) online annotation and analysis framework, which is used in AIPath Dataset. He loves using cutting-edge technology to solve problems in the real world. His focus area is Machine Learning and Computer Vision.
Phone: +1 814-996-8125
Email: haichuan@psu.edu
GitHub: 6zhc
Education
08/2021-Present
Pennsylvania State University
School of Electrical Engineering and Computer Science
Major: Electrical Engineering
09/2016-06/2020
Xi'an Jiaotong University
School of Computer Science and Technology
Bachelor of Engineering, Major: Computer Science
07/2018-08/2018
Duke University (Summer Session)
09/2013-06/2016
Shanghai Fuxin Senior High School
WORKING EXPERIENCE
07/2020-06/2021
Xi'an Jiaotong University
the Institute of Multimedia Knowledge Fusion and Engineering
Position: Science Software Engineer
Publications
Gao Z, Shi J, Zhang X, Li Y, Zhang H, Wu J, et al. Nuclei Grading of Clear Cell Renal Cell Carcinoma in Histopathological Image by Composite High-Resolution Network[C] in 2021 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). arXiv preprint arXiv:2106.10641, 2021. (Link: https://arxiv.org/abs/2106.10641）
Ancuti C O, Ancuti C, Vasluianu F A, et al. NTIRE 2021 nonhomogeneous dehazing challenge report[C] in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021: 627-646.
Wu J, Tang K, Zhang H, et al. Structured Information Extraction of Pathology Reports with Attention-based Graph Convolutional Network[C] in 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020: 2395-2402. (Link: https://doi.org/10.1109/BIBM49941.2020.9313347)
Shi J, Gao Z, Zhang H, et al. Effects of annotation granularity in deep learning models for histopathological images[C], published in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019: 2702-2708. (Link: https://doi.org/10.1109/BIBM47256.2019.8983158)
Puttapirat P, Zhang H, Deng J, et al. OpenHI2—Open source histopathological image platform[C], published in 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019: 2696-2701. (Link: https://doi.org/10.1109/BIBM47256.2019.8983322)
Puttapirat P, Zhang H, Deng J, et al., OpenHI: Open Platform for Histopathological Image Annotation [J], published in International Journal of Data Mining and Bioinformatics, 2019, 22(4): 328-349. (Link: https://doi.org/10.1504/IJDMB.2019.101393)
Puttapirat P, Zhang H, Lian Y, et al. OpenHI-An open source framework for annotating histopathological image[C], published in 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018: 1076-1082. (Link: https://doi.org/10.1109/BIBM.2018.8621393)
HONORS & AWARDS
Award for Production Practice, Xi'an Sol Software Technology Co., July 2019
Honorable Mention, 2018 Interdisciplinary Contest in Modeling, May 2018
VEX U Robot Skills Challenge World Champion, 2017-2018 VEX Robotics World Championship, May 2018
VEX U Excellent Award, 2017-2018 VEX Robotics World Championship, May 2018
VEX U Robot Skills Challenge Asian Open Champion, 2017-2018 VEX Robotics Asian Open Champion, Dec 2017
VEX U Robotics Asian Open League Finalist, 2017-2018 VEX Robotics Asian Open Champion, Dec 2017
1st Prize, 2017 National College Students Mathematical Modeling Contest for Undergraduate Group Shaanxi Division, Nov 2017
Siyuan Scholarship for Academic Excellence, Xian Jiaotong University, Sep 2017
2nd Prize, 2017 the 8th Asia Robotics Engineering Challenge, Nov 2017