About me

I am a Postdoctoral Fellow at the University of Copenhagen and part of the Software, Data, People & Society (SDPS) Section. I earned my Ph.D. in Computer Science in 2023 from Shanghai Jiao Tong University, under the guidance of advisors Yuan Luo and Fan Wu.

My research lies in the intersection of economics, data science, and machine learning. In particular, I focus on designing algorithms for novel techniques in data trading. Additionally, I am also interested in verifiable machine learning and blockchain.

News

• [May. 2025] Published DineMate: your smart foodie sidekick. It helps you decide what to eat! No more dinner decision spirals. Try it at 🔗 https://dinemate.net/ — and let me know what you think!
• [Mar. 2025] Our paper “Domain Generalization via Discrete Codebook Learning” has been accepted by the IEEE International Conference on Multimedia & Expo 2025!
• [Jan. 2025] Our paper “Practical Iterative Quantum Consensus Protocol with Sharding Construction” has been accepted by IEEE JSAC UCP-QuantumEra special issue!

Publications

• Yizhou Ma, Xikun Jiang, Evan W Wu, Luis-Daniel Ibáñez, and Jian Shi. “Model-based Data Markets: A Multi-Broker Game Theoretic Approach.” 2024 IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).
• Fuyuan Xia, Chenhao Ying, Wei Chen, Xikun Jiang, Liwei Lin, Yuan Luo. “FAIR: Accurate Data Acquisition for Mobile Crowdsensing.” International Computing and Combinatorics Conference (COCOON 2024).
• Jiang, Xikun, He Lyu, Chenhao Ying, Yibin Xu, Boris Düdder, and Yuan Luo. “Privacy-Preserving UCB Decision Process Verification via zk-SNARKs.” Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI 2024).
• Jiang, Xikun, Chenhao Ying, Lei Li, Boris Düdder, Haiqin Wu, Haiming Jin, and Yuan Luo. “Incentive Mechanism for Uncertain Tasks under Differential Privacy.” IEEE Transactions on Services Computing (2024).
• Jiang, Xikun, Neal N. Xiong, Xudong Wang, Chenhao Ying, Fan Wu, and Yuan Luo. “DIVINE: A pricing mechanism for outsourcing data classification service in data market.” Information Sciences 636 (2023): 118922.
• Jiang, Xikun, Chaoyue Niu, Chenhao Ying, Fan Wu, and Yuan Luo. “Pricing GAN-based data generators under Rényi differential privacy.” Information Sciences 602 (2022): 57-74.
• Jiang, Xikun, Chenhao Ying, Xinchun Yu, Boris Düdder, and Yuan Luo. “Incentive Mechanism Design for Uncertain Tasks in Mobile Crowd Sensing Systems Utilizing Smart Contract in Blockchain.” In International Conference on Collaborative Computing: Networking, Applications and Worksharing, pp. 475-493. Cham: Springer Nature Switzerland, 2022.
• Chenhao Ying, Fuyuan Xia, David SL Wei, Xinchun Yu, Yibin Xu, Weiting Zhang, Xikun Jiang, Haiming Jin, Yuan Luo, Tao Zhang, and Dacheng Tao. “BIT-FL: Blockchain-Enabled Incentivized and Secure Federated Learning Framework.” IEEE Transactions on Mobile Computing (2024).

Teaching

I am now actively teaching the following courses:

• System Architecture and IT Security 2025
• Proactive Computer Security 2025

Services

• Associate Editor: The 32nd European Conference on Information Systems (ECIS 2024)
• Reviewer: The Journal of Knowledge and Information Systems, IEEE Transactions on Cognitive Communications and Networking, the IET Blockchain Journal.

Talks

• “Exploring Data Collection, Selling, and Privacy in Data Markets”

  Aug 2023, East China Normal University, Shanghai, China.

• “Ensuring Trust and Privacy in AI: From Secure Learning to Verifiable Decisions”

  Oct 2024, Copenhagen University, Copenhagen, Denmark.

Experience

Algorithm Intern

Data Program Group, Intel.

2021.05 – 2022.06, Shanghai, China.