Hu Yao-Chieh (Jeff)

Researcher \ The Hong Kong University of Science and Technology \ Dept of Computer Science

Email: yhuag AT connect DOT ust DOT hk



I have graduated from The Hong Kong University of Science and Technology with First-class honor in Computer Science (2018). I am working on several blockchain research supervised by Professor Pan Hui: smart contract exploits, contract-level consensus, and decentralized oracles. I interned in Augmedix (San Francisco, 2016) on fullstack integration, and J.P. Morgan Chase (Hong Kong, 2017) on computational linguistics. I was an exchange student at the École polytechnique fédérale de Lausanne (Switzerland, 2017) studying reinforcement learning and pattern recognition.


Google Scholar, Github, LinkedIn, Medium

Research Interest

Distributed consensus, security exploits, game theory, and cryptotgraphy.


[1] Yao-Chieh Hu, Ting-Ting Lee, Dimitris Chatzopoulos, and Pan Hui. 2018. Hierarchical interactions between Ethereum smart contracts across Testnets. In CRYBLOCK’18: 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems, June 15, 2018, Munich, Germany. ACM, New York, NY, USA, 6 pages. Best Paper Award.

[2] Yao-Chieh Hu, Ting-Ting Lee, Dimitris Chatzopoulos, and Pan Hui. 2018. “Smart Contract Interactions – Asynchronous State Consensus and Comparative Analysis.” Invited to be reviewed by Concurrency and Computation: Practice and Experience (WILEY) Journal, 2018. [Invited by committee; Under review]

[3] Yao-Chieh Hu, Ting-Ting Lee, and Chungsang Lam. 2019. “A Risk Redistribution Standard for Practical Cryptocurrency Payment,” in 2019 IEEE International Conference on Decentralized Applications and Infrastructures. DAPPCON 2019. Newark, USA, Apr. 2019.



Machine Learning and Others



Academic Conference



Selected Projects

Open Source Contribution


Profile Link

Writer of Hackernoon, The Startup, Coinmonks, Toward Data Science, Taipei Ethereum Meetup, and 3 Minutes Blockchain Paper.

Security Exploits

Academic Review


Working Experience

Community and Organization

Startups Founded

Media Exposure