Biography

Zheng Cao (曹政) is a Ph.D. candidate, specializing in computer science under the guidance of Prof. Jian Wu. He is member of ZJU RealDoctor AI Research Center. He ambitiously explores the possibilities of artificial intelligence in medical image analysis and drug discovery. See his full list of publications.

In addition to his academic pursuits, Zheng leverages his comprehensive expertise in blockchain technology as the cofounder of the cutting-edge web3 startup, TraFinity Ltd. His work primarily focuses on creating novel intersections between AI and blockchain technologies in the rapidly evolving metaverse and cybersecurity sectors.

Interests
  • Artificial Intelligence for Science (AI4Sci)
  • Bioinformatics & Cheminformatics
  • Metaverse & Blockchain & Cybersecurity
Education

  • Computer Science and Technology | Ph.D., 2024

    Zhejiang University (ZJU)

  • Business Administration | MBA (Minor), 2023

    BEST Project, Zhejiang University School of Managment (ZJU-SoM)

  • Applied Chemistry | B.Sc. (Hons), 2019

    University of Reading (UoR)

  • Applied Chemistry | B.Sc., 2019

    Nanjing University of Information Science & Technology (NUIST)

Research Topics

AI4Science deep learning drug discovery image segmentation medical imaging Web3

Awards

I gain more than 50 honors in the past few years, part of them are listed as follows:

Web3 (Blockchain) Hackathon
First Place Winner (Zero2Hero BNB Chain Hackathon, 2023), Second Place (Foresight X OpenBuild HongKong 2023), Second Place (Wanxiang Blockchain Labs, 2022) Jun 2022 – Oct 2023
Innovation and Entrepreneurship Competition (“Internet+ Cup” or “Challenge Cup”)
National Silver Medal (2017/2022), Provincial First Prize (2017/2022), Provincial Second Prize (2018/2022), University First Prize (2017/2022) Oct 2017 – Oct 2022
Mathematical Contest in Modeling (MCM)
Meritorious Winner (2018 COMAP’s MCM), First Prize (2017 National MCM), Third Prize (2019/2020 Graduate-level) Mar 2017 – Mar 2018
See certificate
China National Undergraduate Electronic Design Competition
First Prize (2016), First Prize (2017), First Prize (2018) Sep 2016 – Sep 2018
University Awards & Scholarships
Academic Scholarship (2019-2023), Outstanding Communist Youth League Leader (2023), First Prize Scholarship (2022), Merit Graduate Student (2022), Outstanding Graduates (2019/2020/2021), Extrodinary Bachelor (2019), RED Award (2019), BMI Award (2019), Five-Four Youth Pacesetters (2018), Merit Undergraduate Students (2017) Jun 2015 – Oct 2024

Recent Publications

Quickly discover relevant content by filtering publications.
Tiantao Liu, Zheng Cao, Yuansheng Huang, Yue Wan, Jian Wu, Chang-Yu Hsieh, Tingjun Hou, Yu Kang (2023). SynCluster: Reaction Type Clustering and Recommendation Framework for Synthesis Planning. JACS Au.

PDF Cite Code Dataset Project DOI

Zheng Cao, Liming Xu, Danny Z. Chen, Honghao Gao, Jian Wu (2023). A Robust Shape-Aware Rib Fracture Detection and Segmentation Framework with Contrastive Learning. TMM.

Cite Project

Haihua Zhu, Haojie Yu, Fan Zhang, Zheng Cao, Fuli Wu, Fudong Zhu (2022). Automatic Segmentation and Detection of Ectopic Eruption of the First Permanent Molars on Panoramic Radiographs Based on nnU‐Net. IJPD.

PDF Cite Project Source Document DOI

Zheng Cao, Xiang Pan, Hongyun Yu, Shiyuan Hua, Da Wang, Danny Z. Chen, Min Zhou, Jian Wu (2022). A Deep Learning Approach for Detecting Colorectal Cancer via Raman Spectra. BMEF.

PDF Cite Project Source Document DOI

Haihua Zhu, Zheng Cao, Luya Lian, Guanchen Ye, Honghao Gao, Jian Wu (2022). CariesNet: A Deep learning Approach for Segmentation of multi-stage Caries lesion from Oral Panoramic X-Ray Image. NCA.

PDF Cite Code Project Source Document DOI

See all publications

Recent Posts

A Simple PyTorch Implementation Benchmark
Introduction Welcome to my latest blog post, where I will be introducing a basic benchmark for PyTorch, the popular deep learning library. As a machine learning enthusiast, I understand the importance of measuring the performance of different hardware setups for deep learning tasks.
Zheng Cao
Last updated on Apr 20, 2023 3 min read deep learning, Web3
A Simple PyTorch Implementation Benchmark
Training 2D nnUNet with personal dataset
Introduction nnUNet (no-new-network-Unet) is proposed to offer a end-to-end training for image segmentation, and achieve state-of-the-art performance in over 10 medical image segmentation tasks, as introduced in paper Automated Design of Deep Learning Methods for Biomedical Image Segmentation.
Zheng Cao
Last updated on Mar 4, 2023 4 min read deep learning
Project
Training 2D nnUNet with personal dataset
See all posts

Experience

 
 
 
 
 
CTO / Co-founder
TraFinity Limited
Sep 2022 – Present Hongkong
Product Devlopment.
 
 
 
 
 
Theory Group Intern
Quantum Lab, Tencent Co., Ltd.
Aug 2021 – Jun 2022 Shenzhen
Research on AI methods for drug discovery, i.e. Retrosynthesis.
 
 
 
 
 
Research Intern
DAMO Academy, Alibaba Co., Ltd.
Jul 2021 – Jul 2021 Hangzhou
Research on AI methods for drug discovery, i.e. Molecular Docking.
 
 
 
 
 
Data Mining Intern
Xuanlife Information Technology Co., Ltd.
Oct 2020 – Sep 2021 Nanjing
Research on large-scale machine learning algorithms and parallel implementation.
 
 
 
 
 
Technical Support Intern
Oracle Corporation, Nanjing Branch
Jun 2018 – Aug 2018 Nanjing
Technical Support for Sales Team.
 
 
 
 
 
CTO
Nanjing Kaitianyan UAV Tech Co., Ltd
Jan 2017 – Jun 2018 Nanjing
UAV Aceessories Devlopment

Projects

*
All Web3 Medical Image Analysis AI4Science Deep Learning
Lets MeMe
A Web3 TrafficFi Protocol
Homepage Follow
Lets MeMe
ERC-721G
A Ethernum NFT anti-theft Standard
Paper Code
ERC-721G
Drug Discovery
Project like Retrosynthesis, Docking, Affinity Prediction.
Drug Discovery
Medical Image Analysis
Detection/Classification/Segmentation of the target organs.
Medical Image Analysis

Skills

Python

100%

Java

80%

Cloud

100%

ios Dev

50%

Data Analysis

60%

Chemistry

50%

Contact