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;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;现为CCF高级会员、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
  • 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
  • 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 ,已结题
  • 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,22-23秋,参与
  • 《计算机取证》,本科生课程,21-24
  • 《金融数据安全》,本科生课程,20

教改项目

  • 教育部-IBM产学合作协同育人项目:基于Fabric的区块链技术课程建设,主持,已结题
  • 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,已结题
  • 北京交通大学思政课程与课程思政建设类项目,主持,在研
  • 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 TIFS, IEEE TPDS, IEEE TSC, IEEE TNSE, ACM TOPS, ACM TOIT, COSE, 计算机学报等
  • Conference PC Member: ACM CIKM'23-24, ICA3PP'23-24, IEEE BigData'21-24, ACM BSCI'24, IEEE TPS'22-24, ICBC'20-23, METAVERSE'22-23, BlockDM'21, SERVICES'20-21
  • Workshop Organization: PPML'23
  • Conference Tutorial: ICISS'20
  • Members: CCF (高级会员), IEEE, ACM

学术活动

  • 2024, 国家区块链技术创新中心「基于区块链的Web 3.0关键技术」学术研讨会
  • 2024, CCF秀湖会议第十期「数据确权与流通」
  • 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