Chenyu Zhou

Researcher, Quanter, Web3er, Coder, Gamer.




Shenzhen, China

Hi :wave: , This is Chenyu (周宸宇 in Chinese)!

I am an M.Phil. student at The Chinese University of Hong Kong, Shenzhen, majoring in Computer and Information Engineering. I am working as a research assistant supervised by Prof. Wei Cai in the Human-Crypto Society Laboratory. I am working in the lab on exciting research related to decentralized finance(DeFi) and Web3. Prior to this, I completed my undergraduate studies at China University of Petroleum, Beijing, where I double-majored in Management Information Systems and Computer Science, earning dual degrees in Management and Engineering.

I am deeply passionate about the intersection of technology and finance, and firmly believe that technology-driven finance will revolutionize the financial industry. Specifically, my research interests center on the application of blockchain, AI, and machine learning in finance.

🚩 Recent Speical Focus:

  • Large-Scale Graph Neural Network Learning and Applications
  • Reinforcement Learning and LLM-driven Forecasting for Financial Markets
  • Security and Performance Analysis of DeFi / Blockchain Layer 2

I possess strong programming skills and take pleasure in coding. I am a gold medalist in the Asian regional contest of the International Collegiate Programming Contest(ACM-ICPC), the world’s most prestigious collegiate programming contest. I am proficient in Python and C/C++ and have gained experience working with R, Matlab, Java, Golang, and JavaScript.

I have a strong passion for quantitative investment. I have nearly two years of full-time or internship work experience before pursuing my graduate degree. My previous employers, which include Ubiquant Investment(九坤投资), Harvest Fund(嘉实基金), and JZL Capital(君理资本), have all acknowledged my exceptional abilities in this field.

I am a Web3er, and I believe that decentralized autonomous organizations (DAOs) built on Web3 have immense potential to enhance productivity. As a result, I am actively engaged with the SeeDAO I&R guild. I have great confidence in SeeDAO’s growth and am excited to witness its progress firsthand.

I am a technical partner of DIGICARBON(中财数碳), and my main responsibility is to develop machine learning algorithms and technical frameworks. In fact, I am also interested in topics related to technology-enabled carbon neutrality. I think this topic is the best representation of “Tech For Good”.

I was obsessed with business competitions for a long time. I led our team to the 7th place in China in the Global Management Challenge in 2021.


  • Reviewer:
    • IEEE Transactions on Computational Social Systems (TCSS)
    • ACM The International Conference on the Foundations of Digital Games 2023 (FDG 2023)
    • 1st Workshop on Fintech and Decentralized Finance (FiDeFix 2023)


Jan 23, 2024 Our paper ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System has been accepted by The 2024 ACM Web Conference (WWW 2024) :confetti_ball: !
Aug 8, 2023 I’ve joined the Tencent WeChat team as a research intern, focusing on large-scale graph neural network learning tasks!
Jul 9, 2023 Our paper Harnessing Web3 on Carbon Offset Market for Sustainability: Framework and A Case Study has been accepted by IEEE Wireless Communications :confetti_ball: !
May 15, 2023 I’ve joined Meituan as a deep learning research intern!
Jan 14, 2023 We proudly earned the gold medal 🥇 at the ACM-ICPC Asia Regional Contest, representing CUHK-SZ! Congratulations to me and my teammates, Hanfei and Zirong!

selected publications


  1. poster_artemis.jpg
    ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System
    Chenyu Zhou, Hongzhou Chen, Hao Wu, Junyu Zhang, and Wei Cai


  1. poster_nori.png
    Harnessing Web3 on Carbon Offset Market for Sustainability: Framework and A Case Study
    Chenyu Zhou, Hongzhou Chen, Shiman Wang, Xinyao Sun, Abdulmotaleb El Saddik, and Wei Cai
    IEEE Wireless Communications, 2023