李超

博士、副教授

基本信息

办公电话: 电子邮件: li.chao@bjtu.edu.cn
通讯地址: 邮编:

个人简介

李超,北京交通大学计算机学院副教授,硕士生导师;博士毕业于美国匹兹堡大学,硕士毕业于英国帝国理工学院,本科获得大连理工大学与英国爱丁堡大学双学士学位,具有8年海外留学经历;长期从事「区块链与Web 3.0」相关研究工作,近年来以第一/通讯作者在包括ACM CCSTDSCTSCICDCSSRDSCIKMICWSMCCF推荐A/B类国际知名会议及期刊上发表相关论文40余篇;第一作者「区块链与Web 3.0」方向论文获评ACM CCS 2023杰出论文奖、2023年度中国区块链技术领域(唯一)英文优秀论文;作为负责人主持国家自然科学基金青年科学基金、国家重点研发计划(子)课题3项、北京市自然科学基金「区块链」面上专项、教育部-IBM产学合作协同育人等项目;参与编制国家标准3项,授权发明专利多项;担任CCF区块链专委会执行委员、CCF服务计算专委会执行委员、北京物联网学会青年委员会委员、期刊Blockchain青年编委、北交大计算机学院青联副主席等。

研究方向

欢迎有意向申请硕士研究生的同学邮件联系,希望对『区块链与Web 3.0』感兴趣或具备一定基础

近期研究方向:

  • 区块链与Web 3.0 (主要方向):治理、安全、隐私、扩容
  • 隐私计算:差分隐私、联邦学习

我们正在期刊 IET Blockchain 举办特刊 Special Issue on: Security, Privacy, and Trust in Blockchain and Web 3.0,投稿截止期为2024.6.30,欢迎赐稿!

科研项目

  • 国家重点研发计划项目基于区块链Web 3.0前沿技术,2023-2026,主持子课题(团队牵头)
  • 国家重点研发计划项目:城市智能系统可信任机理与关键技术,2020-2023,主持子课题(团队牵头)
  • 国家重点研发计划青年科学家项目:基于区块链Web 3.0新型技术体系架构,2023-2026,北交大负责人
  • 家自然科学基金青年科学基金项目面向复杂智能合约的高活性链下扩容研究,2023-2025,主持
  • 北京市自然科学基金「区块链」面上专项:区块链系统中心化威胁的安全防护与监管基础研究,2022-2023,主持
  • 北京交通大学基本科研业务费基础研究:面向可扩展区块链系统的活性保障关键技术研究,2022-2025,主持
  • 北京交通大学基本科研业务费人才基金:去中心化敏感信息定时传递机制研究,2019-2022,主持,结题,获评优秀
  • 红果园省部级"企事业"(新):智能合约漏洞分析工具,2022,主持,已结题

教学工作

本研课程

  • 《区块链技术》,本研一贯课程,20-24秋/春(与段莉老师共同授课)
  • 《大数据安全与数据隐私保护》,本科生课程,23-24
  • 《网络空间安全前沿技术与应用》,博士生课程,23-24秋,参与
  • 《计算机取证》,本科生课程,21-23
  • 《金融数据安全》,本科生课程,20

教改项目

  • 北京交通大学教育基金会基金项目:区块链技术人才培养体系建设基金,主持,在研
  • 北京交通大学思政课程与课程思政建设类项目,主持,在研
  • 教育部-IBM产学合作协同育人项目:基于Fabric区块链技术课程建设,主持,已结题
  • 北京交通大学研究生课程建设项目:《区块链技术》课程建设,主持,已结题

论文/期刊

Google Scholar

区块链与Web 3.0方向(部分)论文:

  • [CCS'23] Chao Li, Balaji Palanisamy, Runhua Xu, Li Duan, Jiqiang Liu, Wei Wang. "How Hard is Takeover in DPoS Blockchains? Understanding the Security of Coin-based Voting Governance." ACM SIGSAC Conference on Computer and Communications Security, Denmark. 『Web 3.0治理安全 (governance security)』(CCF A类北交大首篇,2023中国区块链技术领域(唯一)英文优秀论文,ACM CCS 2023 Distinguished Paper Award,为该方向国内首次四大获奖) [PDF][Slides][中国科学报新闻][北京交通大学新闻][美国匹兹堡大学新闻]
  • [TDSC] Runhua Xu, Chao Li and James Joshi. "Blockchain-based Transparency Framework for Privacy Preserving Third-party Services."  IEEE Transactions on Dependable and Secure Computing, 20 (3), 2302-2313, 2023. (CCF A类[PDF]
  • [TSC] Chao Li and Balaji Palanisamy. "SilentDelivery: Practical Timed-delivery of Private Information using Smart Contracts." IEEE Transactions on Services Computing, 15 (6), 3528-3540, 2022. (CCF A类) [PDF
  • [CODASPY'21] Chao Li, Balaji Palanisamy, Runhua Xu, Jinlai Xu and Jingzhe Wang. "SteemOps: Extracting and Analyzing Key Operations in Steemit Blockchain-based Social Media Platform." Proc. of 11th ACM Conference on Data and Application Security and Privacy. [PDF][DATASET] 
  • [SRDS'20] Chao Li, Balaji Palanisamy, Runhua Xu, Jian Wang and Jiqiang Liu. "NF-Crowd: Nearly-free Blockchain-based Crowdsourcing." Proc. of 39th IEEE International Symposium on Reliable Distributed Systems, Shanghai, China. (CCF B类) [PDF] 
  • [ICWS'20] Chao Li and Balaji Palanisamy. "EventWarden: A Decentralized Event-driven Proxy Service for Outsourcing Arbitrary Transactions in Ethereum-like Blockchains." Proc. of 27rd IEEE International Conference on Web Services, Beijing, China(CCF B) [PDF]
  • [WebSci'19Chao Li and Balaji Palanisamy. “Incentivized Blockchain-based Social Media Platforms: A Case Study of Steemit.” Proc. of 11th ACM International Web Science Conference, Boston, MA, USA. [PDF][DATASET] 
  • [SRDS'18] Chao Li and Balaji Palanisamy. “Decentralized release of self-emerging data using smart contracts.” Proc. of 37th IEEE International Symposium on Reliable Distributed Systems, Salvador, Brazil. (CCF B) [PDF
  • [HiPC'18] Chao Li and Balaji Palanisamy. “Decentralized Privacy-preserving Timed Execution in Blockchain-based Smart Contract Platforms.” Proc. of 25th IEEE International Conference on High Performance Computing, Data, and Analytics. (CCF C) [PDF
  • [ICDCS'17] Chao Li and Balaji Palanisamy, “Timed-release of Self-emerging Data using Distributed Hash Tables.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. (CCF B) [PDF
  • [Cloud'17] Chao Li and Balaji Palanisamy, “Emerge: Self-emerging Data Release using Cloud Data Storage.” Proc. of 10th IEEE International Conference on Cloud Computing, Honolulu, USA. (CCF C) [PDF] 

隐私计算方向(部分)论文

  • [TDSC] Runhua Xu, Bo Li, Chao Li, James Joshi, Shuai Ma, Tyler Zhou, Jin Dong and Jianxin Li. “TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning.” IEEE Transactions on Dependable and Secure Computing, 2024, accepted. (CCF A
  • [TDSC] Runhua Xu, James B.D. Joshi and Chao Li. “NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets.” IEEE Transactions on Dependable and Secure Computing, 19 (4), 2807-2820, 2022. (CCF A[PDF][APPENDIX] 
  • [ICDCS'19] Runhua Xu, James BD Joshi, and Chao Li. “CryptoNN: Training Neural Networks over Encrypted Data.” Proc. of 39th IEEE International Conference on Distributed Computing Systems, Dallas, Texas, USA. (CCF B) [PDF
  • [COMCOM] Chao Li and Balaji Palanisamy. “Reversible spatio-temporal perturbation for protecting location privacy.”Elsevier Computer Communications 135, 16-27, 2019. (CCF C) [PDF
  • [IOTJ] Chao Li and Balaji Palanisamy. “Privacy in Internet of Things: from Principles to Technologies.” IEEE Internet of Things Journal  6 (1), 488-505, 2019. (CCF C类) [PDF
  • [COSE] Lei Jin, Chao Li, Balaji Palanisamy and James Joshi. “k-Trustee: Location injection attack-resilient anonymization for location privacy.” Elsevier Computers & Security 78, 212-230, 2018. (CCF B) [PDF] 
  • [BigData Congress'18] Chao Li, Balaji Palanisamy and Prashant Krishnamurthy. “Reversible Data Perturbation Techniques for Multi-level Privacy-preserving Data Publication.” Proc. of 7th International Congress on Big Data, USA. (Received Best Paper Award) [PDF] 
  • [Big Data'17] Balaji Palanisamy, Chao Li and Prashant Krishnamurthy, “Group Privacy-aware Disclosure of Association Graph Data.” Proc. of 5th IEEE International Conference on Big Data, Boston, USA. (CCF C) [PDF
  • [BigData Congress'17Chao Li, Balaji Palanisamy and James Joshi, “Differentially Private Trajectory Analysis for Points-of-Interest Recommendation.” Proc. of 6th IEEE International Congress on Big Data, Honolulu, USA. (Received Best Paper Award) [PDF] 
  • [ICWS'16] Chao Li, Balaji Palanisamy and James Joshi, “SocialMix: Supporting Privacy-aware Trusted Social Networking Services.” Proc. of 23rd IEEE International Conference on Web Services, San Francisco, USA. (CCF B) [PDF
  • [CIKM'15] Chao Li and Balaji Palanisamy, “ReverseCloak: Protecting Multi-level Location Privacy over Road Networks.” Proc. of 24th ACM International Conference on Information and Knowledge Management, Melbourne, Australia. (CCF B) [PDF

学术兼职

  • CCF区块链专委会执行委员,CCF服务计算专委会执行委员,北京物联网学会青年委员会委员
  • Journal Youth Editorial Board Member: Blockchain (ELSP) 
  • Journal Guest Editor: Blockchain (IET) Special Issue on: Security, Privacy, and Trust in Blockchain and Web 3.0 (Deadline: 30 June 2024)  欢迎赐稿!
  • Journal Reviewer: IEEE TDSC, IEEE TPDS, IEEE TSC, IEEE TNSE, ACM TOPS, ACM TOIT, COSE, 计算机学报等
  • Conference PC Member: ACM CIKM'23, ICA3PP'23, IEEE BigData'21-23, IEEE TPS'22-23, ICBC'20-23, METAVERSE'22-23, BlockDM'21, SERVICES'20-21
  • Workshop Organization: PPML'23
  • Conference Tutorial: ICISS'20
  • Members: CCF, IEEE, ACM

学术活动

  • 2024, InForSec 2024网络空间安全学术年会
  • 2023, 中国科学院计算技术研究所「第四届夏培肃青年学者」论坛
  • 2023, 大湾区计算机创新技术大会,「Web 3.0、人工智能架构与可靠性关键技术」论坛
  • 2023, CCF中国区块链技术与应用高峰论坛,「元宇宙和Web 3.0:前沿技术与产业发展」分论坛
  • 2023, 上海ySec空中学术论坛,「区块链和Web 3.0安全关键技术」论坛
  • 2023, CCF中国计算机大会 (CNCC),「Web 3.0前沿技术与未来趋势」论坛
  • 2023, CCF中国数字服务大会 (China Service),「Web 3.0前沿技术与应用」论坛
  • 2023, CCF中国区块链技术大会 (CBCC),「Web 3.0:技术、应用与未来」论坛