Zhongzhong Li

Master's degree in progress

Department of Biomedical Engineering
Department of Electronic Information Engineering,
University of Science and Technology of China (USTC)
No. 96 Jinzhai Road,
Hefei City, Anhui Province,
Email: lizhogn@mail.ustc.edu.cn

Biography

Zhongzhong Li entered Harbin Institute of Technology in 2016, majoring in Electronic Information Engineering, and received Bachelor of Engineering degree in June 2020, and was deferred to University of Science and Technology of China, majoring in Biomedical Engineering with a ranking of 2/116.

At USTC, he is mainly engaged in the processing and research of whole-brain images in the Brain Imaging Platform of the National Engineering Laboratory for Brain-like Intelligence Technology and Applications. He is dedicated to applying AI to the field of biology and medical image processing.

Research Interests

Medical and Biology Image Analysis, Deep Learning, Computer Vision (Ojbect Detection, Segmentation, Multiple Object Tracking), Domain Generalization

Education

2013.7 ~ 2016.6 Zhejiang Dongyang High School

2016.9 ~ 2020.6 Harbin Institute of Technology (WH)

2020.9 ~ 2023.6 University of Science and Technology of China

Selected Awards

First Prize of Shandong University Physics Competition, Nov, 2018

Outstanding Student Scholarship, Every semester in 2016-2020

Excellent graduates from Harbin Institute of Technology, Jun, 2020

Tencent Youtu Future Star, Jan, 2022

Project Experience

2018.9 ~ 2019.3 Whistler Wave Detection and Analysis

The electromagnetic data of French DEMETER satellite and Chinese Zhangheng-1 satellite were read, and the time-frequency characteristics of ELF/VLF were analyzed. The two-dimensional correlation detection method is used to obtain the whistle acoustic propagation characteristics and deep learning sample library.
2019.3 ~ 2019.9 Deep Learning based Detection of Whistling Waves

Using deep convolutional neural network to achieve automatic detection and segmentation of whistling sound, the method can achieve automatic detection of all types of whistling sound and can extract the relevant parameters of whistling sound, compared with the internationally popular automatic detection methods, has achieved good results.
2019.9 ~ 2020.6 Recurrent Network-based Prediction of Global Ocean Temperature and Salt

The undergraduate graduation project and big lab project, based on deep learning long and short-term memory networks, proposed two effective prediction schemes (ED-LSTM and ED-ConvLSTM) and a management method for global satellite observation big data, which greatly improved the accuracy and speed of global temperature and salinity prediction.

[paper] [slide]
2020.8 ~ 2020.9 Yeast Cell Segmentation and Parameter Determination

Based on the dense morphology of yeast cells, Mask R-CNN network was built for effective instance segmentation. Then the parameters of yeast cell mitochondria were measured and analyzed by using digital image processing techniques. Finally, an interactive interface with good user was designed.

[project page] [code]
2021.8 ~ 2021.10 Multi-modal Information Extraction Compared Experiments (Tencent Intern)

Methods Performance Compared. The detail is in GMN: Generative Multi-modal Network for Practical Document Information Extraction (NAACL 2022)
2021.10 ~ 2021.11 Ticket-specific field detection and model deployment (Tencent Intern)

Tencent Cloud TI platform TI-ONE R&D, I'm mainly responsible for the research of ticket-specific field detection and model deployment.
2021.11 ~ 2022.01 Research on Algorithms for Table Multi-modal Pre-training Tasks (Tencent Intern)
2022.01 ~ 2022.04 SpindlesTracker: An Automatic Workflow for Spindles Analysis in Time-lapse Images

In this paper, we present SpindlesTracker, a fully automatic and extensible workflow that can efficiently analyze time-lapse images’ dynamic spindle mechanism.

Publications

SpindlesTracker: An Automatic Workflow for Spindles Analysis in Time-lapse Images

Zhongzhong Li*, Yanze Jian, Jiatong Hu, Chuanming Zhang, and Ji Liu

Being cast in IEEE Transactions on Biomedical Engineering (TBME)
Image analysis method and device

Ji Liu, Zhongzhong Li

Patent(patent number: CN202210442535.9)
Glucose-sensing glucagon-like peptide-1 receptor neurons in the dorsomedial hypothalamus regulate glucose metabolism

Huang, Zhaohuan and Liu, Ling and Zhang, Jian and Conde, Kristie and Phansalkar, Jay and Li, Zhongzhong and Yao, Lei and Xu, Zihui and Wang, Wei and Zhou, Jiangning and others

Science Advances

Experience

2021.8~2022.2, Internship in Tencent You Tu (Outstanding Internship).

Expertise

English: CET-4, CET-6
Programming: Expertise in Pytorch, TensorFlow and their common scientific computing libraries. Ability to reproduce papers in computer vision

Python: ♦ ♦ ♦ ♦ ♦ ♦ ♦ ♦
Matlab: ♦ ♦ ♦ ♦ ♦
C/C++: ♦ ♦ ♦
Linux: ♦ ♦ ♦ ♦ ♦

Other skills: Docker, Git, Latex