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

• [Oct. 2024] One paper regarding Federated Learning has been accepted by IEEE Transactions on Mobile Computing!
• [May. 2024] Our paper “FAIR: Accurate Data Acquisition for Mobile Crowdsensing” has been accepted by the COCOON2024!
• [Apr. 2024] (1st author) Our paper “Privacy-Preserving UCB Decision Process Verification via zk-SNARKs” has been accepted by IJCAI’24!
• [Mar. 2024] (1st author) Our paper “Incentive Mechanism for Uncertain Tasks under Differential Privacy” has been accepted by the IEEE Transactions on Services Computing!

Publications

• 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 (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).
• Li, Lei, Tianfang Zhang, Zhongfeng Kang, and Xikun Jiang. “Mask-FPAN: Semi-supervised Face Parsing in the Wild with De-occlusion and UV GAN.” Computers & Graphics 116 (2023): 185-193.

Services

• Associate Editor: The 32nd European Conference on Information Systems (ECIS 2024)
• PC Member: 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.