李超

博士、副教授、博士生导师

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

 『 Chao's Homepage 』 

李超，北京交通大学副教授，博士生导师；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，拥有8年海外留学经历；长期专注于「区块链与Web 3.0」领域的研究，在包括ACM CCS、NeurIPS、TDSC、TSC、ICDCS、SRDS、CIKM等CCF推荐A/B类国际知名会议及期刊上发表相关论文40余篇；曾获ACM CCS 2023杰出论文奖、ICDCS 2024最佳演示论文奖、2023年度中国区块链技术领域(唯一)英文优秀论文等奖项；主持了国家自然科学基金面上项目、青年项目、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」面上专项等科研任务；参与编制国家标准3项，授权发明专利10余项；现为CCF高级会员，担任CCF推荐A类期刊IEEE TSC副编辑、CCF区块链专委会执行委员、CCF服务计算专委会执行委员等。

研究方向

欢迎有意向申请硕士、博士研究生的同学邮件联系（目前有25年入学博士名额，招收网安专业学博）

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、扩容等
  • 隐私计算：差分隐私、联邦学习等

科研项目

  • 国家自然科学基金面上项目：面向Web 3.0的区块链治理机制及其安全研究，主持
  • 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，主持
  • 国家重点研发计划项目：基于区块链的Web 3.0前沿技术，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，主持子课题（团队牵头），已结题
  • 国家重点研发计划青年科学家项目：基于区块链的Web 3.0新型技术体系架构，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，主持 ，已结题
  • 省部级项目：智能合约漏洞分析工具，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，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，主持，已结题，获评优秀

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春
  • 《计算机取证》，本科生课程，21-24秋
  • 《网络空间安全前沿技术与应用》，博士生课程，22-23秋
  • 《金融数据安全》，本科生课程，20秋

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，在研
  • 北京交通大学研究生课程思政示范课程建设项目，主持，在研
  • 北京交通大学本科生思政课程与课程思政建设类项目，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』

Selected publications：

  • [NeurIPS'24] Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li. "Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning." The 38th Annual Conference on Neural Information Processing Systems, accepted, 2024. (CCF A类) [PDF]
  • [TDSC] Guorong Chen, Chao Li, Wei Wang, Li Duan, Bin Wang, Zhen Han and Xiangliang Zhang. “FairReward: Towards Fair Reward Distribution using Equity Theory in Blockchain-based Federated Learning.” IEEE Transactions on Dependable and Secure Computing, accepted, 2024. (CCF A类)
  • [TSC] Chao Li and Balaji Palanisamy. "T-Watch: Towards Timed Execution of Private Transaction in Blockchains." IEEE Transactions on Services Computing, 17 (3), 1279-1292, 2024. (CCF A类) [PDF]
  • [TDSC] Xiangrui Xu, Wei Wang, Zheng Chen, Bin Wang, Chao Li, Li Duan, Zhen Han, and Yufei Han. “Finding the PISTE: Towards Understanding Privacy Leaks in Vertical Federated Learning Systems.” IEEE Transactions on Dependable and Secure Computing, accepted, 2024. (CCF A类)
  • [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, 21 (5), 4309-4323, 2024. (CCF A类) [PDF]
  • [ICDCS'24] Jingzhe Wang, Haocheng Wang, Chao Li and Balaji Palanisamy. "Timed Data Release using Smart Contracts." Proc. of 44th IEEE International Conference on Distributed Computing Systems, Ney Jersey, USA. (CCF B类, demo paper) (Received ICDCS 2024 Best Demo Award)
  • [TWEB] Chao Li, Runhua Xu, Balaji Palanisamy, Li Duan, Meng Shen, Jiqiang Liu and Wei Wang, "Blockchain Takeovers in Web 3.0: An Empirical Study on the TRON-Steem Incident." ACM Transactions on the Web, accepted, 2024. (CCF B类) [PDF]
  • [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] 
  • [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类) [PDF][APPENDIX] 
  • [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] 
  • [ICDEW'21] Qinwei Lin (大三), Chao Li, Xifeng Zhao (大三) and Xianhai Chen (大三). “Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and Granularities.” In 2021 IEEE 37th International Conference on Data Engineering Workshops. (大创成果, 谷歌引用70+) [PDF]
  • [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类) [PDF]
  • [WebSci'19] Chao 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] 
  • [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类) [PDF] 
  • [COMCOM] Chao Li and Balaji Palanisamy. “Reversible spatio-temporal perturbation for protecting location privacy.”Elsevier Computer Communications 135, 16-27, 2019. (CCF C类) [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. (SCI 一区) [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类) [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] 
  • [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类) [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类) [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类) [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类) [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类) [PDF]
  • [BigData Congress'17] Chao 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类) [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类) [PDF] 

学术兼职

  • Journal Editorial Board Member: Associate Editor for IEEE Transactions on Services Computing (CCF-A)
  • 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 Oct. 2024)  
  • 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 (current): ACM CIKM'23-24, IEEE BigData'21-24, ICA3PP'23-24, IEEE MSN'24, ACM BSCI'24, IEEE TPS'22-24, IEEE CIC'24
  • Conference PC Member (past): 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, CCF中国计算机大会 (CNCC),「Web3.0挑战、技术与趋势」论坛，受邀报告
  • 2024, 浦江创新论坛,「Web 3.0创新论坛」，受邀报告
  • 2024, CCF中国区块链技术与应用高峰论坛,「Web 3.0和元宇宙技术及应用」分论坛，共同主席
  • 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，受邀报告
  • 2024, CCF秀湖会议第十期「数据确权与流通」，工作人员
  • 2024, InForSec 2024网络空间安全学术年会，受邀报告
  • 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，受邀报告
  • 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，共同主席
  • 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，共同主席
  • 2023, CCF中国计算机大会 (CNCC),「Web 3.0前沿技术与未来趋势」论坛，受邀报告
  • 2023, CCF中国数字服务大会 (China Service),「Web 3.0前沿技术与应用」论坛，受邀报告
  • 2023, CCF中国区块链技术大会 (CBCC),「Web 3.0：技术、应用与未来」论坛，受邀报告