研究团队
多领域融合
研究团队具备分布式系统、机器学习、博弈论、密码、金融等多个方向的研究背景
80%博士学历
研究团队成员全部为硕士以上学历，其中博士学历占80%
研究成果
50+篇论文
团队成员累计在国际学术会议和期刊发表学术论文五十余篇，其中区块链相关研究论文被WWW、AAMAS、IEEE
TETC等国际顶级会议和期刊收录
30+项专利 已申请区块链和隐私计算相关专利和软件著作权多项
研究论文
A Fast Algorithm for Liquid Voting on Blockchain
Zhou X, Li P, Zeng Y, et al. A Fast Algorithm for Liquid Voting on
Blockchain[J]. IEICE TRANSACTIONS on Information and Systems, 2021,
104(8): 1163-1171.
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A Graph Learning based Approach for Identity Inference in DApp
Platform Blockchain
Xiao Liu, Zaiyang Tang, Peng Li, Song Guo, Xuepeng Fan, Jinbo
Zhang, "A Graph Learning based Approach for Identity Inference in
DApp Platform Blockchain," in IEEE Transactions on Emerging Topics
in Computing, doi: 10.1109/TETC.2020.3027309.
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Games of Miners
Sun, Jingchang, Pingzhong Tang, and Yulong Zeng. "Games of Miners."
Proceedings of the 19th International Conference on Autonomous
Agents and MultiAgent Systems. 2020.
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Implement Liquid Democracy on Ethereum: A Fast Algorithm for
Realtime Self-tally Voting System
Fan X, Li P, Zeng Y, et al. Implement Liquid Democracy on Ethereum:
A Fast Algorithm for Realtime Self-tally Voting System[J]. arXiv
preprint arXiv:1911.08774, 2019.
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The Matthew Effect in Computation Contests: High Difficulty May Lead
to 51% Dominance?
Zeng, Yulong, and Song Zuo. "The Matthew Effect in Computation
Contests: High Difficulty May Lead to 51% Dominance?." The World
Wide Web Conference. 2019.
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