Dr. Sheng Nan Li
|
Sheng Nan Li 李圣楠 Research Associate Email: shengnan.li[at]uzh.ch |
Short biography
Sheng-Nan Li received her bachelor degree in Financial Engineering and master degree in Systems Analysis and Integration. Currently, she mainly focuses on blockchain-based system, including identification of the selfish mining behavior, economic analysis of cryptocurrency, and structural analysis of the bitcoin network. |
Research interests
|
Publications
ZORA Publication List
Download Options
Publications
-
Statistical detection of selfish mining in proof-of-work blockchain systems. Scientific Reports, 14(1):6251.
-
Reward Distribution in Proof-of-Stake Protocols: A Trade-Off Between Inclusion and Fairness. IEEE Access, 11:134136-134145.
-
Effects of consensus and incentives on the functioning of blockchains. 2023, University of Zurich, Faculty of Economics.
-
Agent-based Modelling of Bitcoin Consensus without Block Rewards. In: 2022 IEEE International Conference on Blockchain (Blockchain), Virtual, 22 August 2022 - 25 August 2022. Institut of Electrical and Electronics Engineers, 29-36.
-
Agent-based Modelling of Strategic behavior in PoW Protocols. In: 2021 Third International Conference on Blockchain Computing and Applications (BCCA), Tartu, Estonia, 15 November 2021 - 17 November 2021, IEEE.
-
Agent-based Modelling of Strategic behavior in PoW Protocols. In: 2021 Third International Conference on Blockchain Computing and Applications (BCCA), Tartu, Estonia, 15 November 2021 - 17 November 2021. IEEE, 111-118.
-
Proof-of-Work cryptocurrency mining: a statistical approach to fairness. In: 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Chongqing, China, 9 August 2020 - 11 August 2020. IEEE/CIC, 156-161.
-
Proof-of-Work cryptocurrency mining: a statistical approach to fairness. In: 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops), Chongqing, China, 9 August 2020 - 11 August 2020.
-
Mining blocks in a row: a statistical study of fairness in Bitcoin mining. In: 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Toronto, 2 May 2020 - 6 May 2020, IEEE.
-
A generative model for the collective attention of the Chinese stock market investors. Physica A: Statistical Mechanics and its Applications, 512:1175-1182.
-
Uncovering the popularity mechanisms for Facebook applications. Physica A: Statistical Mechanics and its Applications, 494:422-429.
-
Evolution properties of the community members for dynamic networks. Physics Letters A, 381(11):970-975.
-
Community structure detection based on the neighbor node degree information. International Journal of Modern Physics C, 27(04):1650046.