About me

Hi! I will join Aalborg University (CS-CPH campus) as an Assistant Professor in June 2026. Previously, I was a Postdoctoral Researcher at the Department of Computer Science, University of Copenhagen. I received my Ph.D. in Computer Science from Shanghai Jiao Tong University in 2023 and my Bachelor’s degree from Sichuan University in 2017.

My research focuses on Trustworthy and Responsible AI, with an emphasis on privacy-preserving methods and AI verification techniques for secure and reliable AI systems. I am also interested in designing algorithms and systems for fair, secure, and efficient data trading and utilization.

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, or my educational PC keyboard game ColorSnap.

News

• [Oct. 2025] Our paper “Zero-Knowledge Quantized Weighted Majority Algorithm” has been ACCEPTED as a FULL RESEARCH PAPER at IEEE Trustcom2025!
• [Sep. 2025] Appointed as a Junior Chair in the CAG-Home!
• [Jun. 2025] Our paper “Mixture-of-Experts based Model Market” has been accepted by the DEC - 3rd Data Economy Workshop, VLDB 2025!

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.