I am an Assistant Professor in the School of Computing and Information Technology at Beijing Jiaotong University. My current research interests are focused on Blockchain and Data Privacy. I received my MSc degree from Imperial College London and my Ph.D. degree in Information Science from University of Pittsburgh.

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Publications

  • [TSC] Chao Li and Balaji Palanisamy. “SilentDelivery: Practical Timed-delivery of Private Information using Smart Contracts.” IEEE Transactions on Services Computing, accepted. [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, accepted. [PDF][APPENDIX]
  • [ICDEW’21] Qinwei Lin, Chao Li, Xifeng Zhao and Xianhai Chen. “Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and Granularities.” In 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW). [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, Virtual Event, USA. [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. [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. [PDF]
  • [ICBC’20] Chao Li and Balaji Palanisamy. “Comparison of Decentralization in DPoS and PoW Blockchains.” Proc. of 2020 International Conference on Blockchain, Honolulu, Hawaii, USA. [PDF][DATASET]
  • [CIC’19] Balaji Palanisamy and Chao Li. “Self-emerging Data Infrastructures.” Proc. of 5th IEEE International Conference on Collaboration and Internet Computing, Los Angeles, California, USA. [PDF]
  • [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. [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]
  • [BlockDM’19] Chao Li, Balaji Palanisamy and Runhua Xu. “Scalable and Privacy-preserving Design of On/Off-chain Smart Contracts.” Proc. of 1st International Workshop on Blockchain and Data Management, in Conjunction with ICDE 2019. [PDF]
  • [ComCom] Chao Li and Balaji Palanisamy. “Reversible spatio-temporal perturbation for protecting location privacy.” Elsevier Computer Communications 135, 16-27, 2019. [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, 2018. [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, Bengaluru, India. [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. [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. [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, Seattle, USA. [PDF][Received Best Paper Award]
  • [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. [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. [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. [PDF][Received Best Paper Award]
  • [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. [PDF]
  • [ICDCS’17, Demo] Chao Li, Balaji Palanisamy, Aravind A. Kalaivanan and Sriram Raghunathan, “ReverseCloak: A Reversible Multi-level Location Privacy Protection System.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. [PDF]
  • [ICDCS’17, Poster] Balaji Palanisamy, Chao Li and Prashant Krishnamurthy, “Group Differential Privacy-preserving Disclosure of Multi-level Association Graphs.” Proc. of 37th IEEE International Conference on Distributed Computing Systems, Atlanta, USA. [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. [PDF]
  • [NSS’15] Chao Li and Balaji Palanisamy, “De-anonymizable Location Cloaking for Privacy-controlled Mobile Systems.” Proc. of 9th International Conference on Network and System Security, New York, USA. [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. [PDF]