Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem. - Dongdong Ge; Haoyue Wang; Zikai Xiong; Yinyu Ye 001 (NeurIPS, 2019)

Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion. - Zhengqi Gao; Fan-Keng Sun; Mingran Yang; Sucheng Ren; Zikai Xiong; Marc Engeler; Antonio Burazer; Linda Wildling; Luca Daniel; Duane S. Boning (ECCV (24), 2022)

Low-rank traffic matrix completion with marginal information. - Zikai Xiong; Yimin Wei 001; Renjie Xu; Yanwei Xu (J. Comput. Appl. Math., 2022)

Fair Wasserstein Coresets. - Zikai Xiong; Niccolò Dalmasso; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (CoRR, 2023)

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing. - Zikai Xiong; Niccolò Dalmasso; Alan Mishler; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (AAAI, 2024)

Fair Wasserstein Coresets. - Zikai Xiong; Niccolò Dalmasso; Shubham Sharma; Freddy Lécué; Daniele Magazzeni; Vamsi K. Potluru; Tucker Balch; Manuela Veloso (NeurIPS, 2024)

Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization. - Zikai Xiong; Robert M. Freund (SIAM J. Optim., 2024)

PDCS: A Primal-Dual Large-Scale Conic Programming Solver with GPU Enhancements. - Zhenwei Lin; Zikai Xiong; Dongdong Ge; Yinyu Ye 001 (CoRR, 2025)