Qikun Xiang   项启昆

Journal Publications

2024

Qikun Xiang, Ariel Neufeld, Gareth W. Peters, Ido Nevat, and Anwitaman Datta, "A Bonus-Malus framework for cyber risk insurance and optimal cybersecurity provisioning", European Actuarial Journal, vol. 14, no. 2, pp. 581–621, 2024. [DOI] [arXiv] [GitHub]

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Shunan Sheng, Qikun Xiang, Ido Nevat, and Ariel Neufeld, "Binary spatial random field reconstruction from non-Gaussian inhomogeneous time-series observations", Journal of the Franklin Institute, vol. 361, no. 2,

pp. 612–636, 2024. [DOI] [arXiv] [GitHub]​ 

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2023

Ariel Neufeld, Antonis Papapantoleon, and Qikun Xiang, "Model-free bounds for multi-asset options using option-implied information and their exact computation", Management Science, vol. 69, no. 4, pp. 2051–2068, 2023. [DOI] [arXiv] [GitHub]

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2020

Qikun Xiang, Ido Nevat, and Gareth W. Peters, "Bayesian spatial field reconstruction with unknown distortions in sensor networks", IEEE Transactions on Signal Processing, vol. 68, pp. 4336–4351, 2020. [DOI] [arXiv]

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Preprint

2025

Zeyi Chen, Ariel Neufeld, and Qikun Xiang, "Provably convergent stochastic fixed-point algorithm for free-support Wasserstein barycenter of continuous non-parametric measures", Preprint, arXiv:2505.24384, 2025. 

[arXiv] [GitHub]​

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2023

Ariel Neufeld and Qikun Xiang, "Feasible approximation of matching equilibria for large-scale matching for teams problems", Preprint, arXiv:2308.03550, 2023. [arXiv] [GitHub]​

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2022

Ariel Neufeld and Qikun Xiang, "Numerical method for approximately optimal solutions of two-stage distributionally robust optimization with marginal constraints", Preprint, arXiv:2205.05315, 2022. 

[arXiv] [GitHub]​

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Ariel Neufeld and Qikun Xiang, "Numerical method for feasible and approximately optimal solutions of multi-marginal optimal transport beyond discrete measures", Preprint, arXiv:2203.01633, 2022.

[arXiv] [GitHub]

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Conference Publications

2017

Qikun Xiang, Jie Zhang, Ido Nevat, and Pengfei Zhang, A trust-based mixture of Gaussian processes model for reliable regression in participatory sensing, 26th International Joint Conference on Artificial Intelligence (IJCAI), 2017. [URL]

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Qikun Xiang, Jie Zhang, Ido Nevat, and Pengfei Zhang, A trust-based mixture of Gaussian processes model for robust participatory sensing, 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017. [URL]

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