About me

Hi! I’m a Postdoctoral Fellow at the University of Copenhagen in the Software, Data, People & Society (SDPS) Section. I finished my Ph.D. in Computer Science in 2023 at Shanghai Jiao Tong University, working with Yuan Luo and Fan Wu.

I’m interested in the intersection of economics, data science, and machine learning. My research focuses on designing algorithms for new ways to trade and use data. I’m also excited about verifiable machine learning and trustworthy AI.

Outside of research, I love building fun side projects. You can check out my camera app AngleMe – Perfect Portrait Guide or my foodie helper app DineMate.

News

• [Jul. 2025] Published AngleMe – Perfect Portrait Guide: capture your best angle every time! AngleMe guides you to perfect portraits with real-time feedback and smart camera tools.
• [Jun. 2025] Our paper “Mixture-of-Experts based Model Market” has been accepted by the DEC - 3rd Data EConomy Workshop, VLDB 2025!
• [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!

Publications

• Yizhou Ma, Xikun Jiang, Wenbo Wu, Zhuoqin Yang, Luis-Daniel Ibáñez. “Mixture-of-Experts based Model Market.” the DEC - 3rd Data EConomy Workshop, VLDB 2025.
• Shaocong Long, Qianyu Zhou, Xikun Jiang, Chenhao Ying, Lizhuang Ma, Yuan Luo. “Domain Generalization via Discrete Codebook Learning.” (ICME-25) IEEE International Conference on Multimedia & Expo 2025.
• 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.