Collusion-resistant Spatial Phenomena Crowdsourcing via Mixture of Gaussian Processes Regression. - Qikun Xiang; Ido Nevat; Pengfei Zhang 001; Jie Zhang 002 (TRUST@AAMAS, 2016)

A Trust-based Mixture of Gaussian Processes Model for Robust Participatory Sensing. - Qikun Xiang; Jie Zhang 002; Ido Nevat; Pengfei Zhang 001 (AAMAS, 2017)

A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing. - Qikun Xiang; Jie Zhang 002; Ido Nevat; Pengfei Zhang 001 (IJCAI, 2017)

Bayesian Spatial Field Reconstruction With Unknown Distortions in Sensor Networks. - Qikun Xiang; Ido Nevat; Gareth W. Peters (IEEE Trans. Signal Process., 2020)

Numerical method for feasible and approximately optimal solutions of multi-marginal optimal transport beyond discrete measures. - Ariel Neufeld; Qikun Xiang (CoRR, 2022)

Numerical method for approximately optimal solutions of two-stage distributionally robust optimization with marginal constraints. - Ariel Neufeld; Qikun Xiang (CoRR, 2022)

Feasible approximation of matching equilibria for large-scale matching for teams problems. - Ariel Neufeld; Qikun Xiang (CoRR, 2023)

Model-Free Bounds for Multi-Asset Options Using Option-Implied Information and Their Exact Computation. - Ariel Neufeld; Antonis Papapantoleon; Qikun Xiang (Manag. Sci., 2023)

Binary spatial random field reconstruction from non-Gaussian inhomogeneous time-series observations. - Shunan Sheng; Qikun Xiang; Ido Nevat; Ariel Neufeld (J. Frankl. Inst., 2024)

Provably convergent stochastic fixed-point algorithm for free-support Wasserstein barycenter of continuous non-parametric measures. - Zeyi Chen; Ariel Neufeld; Qikun Xiang (CoRR, 2025)