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. 查看详情
  • 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. 查看详情
  • 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. 查看详情
  • 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. 查看详情
  • 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. 查看详情

研究报告

合作伙伴

团队与清华大学、北京大学、华中科技大学、东南大学、香港理工大学、日本会津大学、新加坡南洋理工大学、ASResearch等高校和机构开展多项合作研究