(α) means authors are listed in alphabetical order, and * means equal contribution.
A Hierarchical Grouping Algorithm for the Multi-Vehicle Dial-a-Ride Problem. (VLDB'23) [code]
Kelin Luo, Alexandre M. Florio, Syamantak Das, X. Guo.
Online Food Delivery to Minimize Maximum Flow Time. (ISAAC'22)
(α) X. Guo, Shi Li, Kelin Luo, Yuhao Zhang. (An extended version accepted to Algorithmica, 2023)
The Multi-vehicle Ride-sharing Problem. (WSDM'22) [code]
Kelin Luo, Chaitanya Agarwal, Syamantak Das, X. Guo.
Consistent k-Median: Simpler, Better and Robust. (AISTATS'21) [code]
(α) X. Guo, Janardhan Kulkarni, Shi Li, Jiayi Xian.
On the Facility Location Problem in Online and Dynamic Models. (APPROX'20)
(α) X. Guo, Janardhan Kulkarni, Shi Li, Jiayi Xian.
On Approximating Degree-Bounded Network Design Problems. (APPROX'20) [slides] (Journal version accepted to Algorithmica, 2022)
(α) X. Guo, Guy Kortsarz, Bundit Laekhanukit, Shi Li, Daniel Vaz, Jiayi Xian.
Scalable Estimating Stochastic Linear Combination of Non-linear Regressions. (AAAI'20) [code] (Journal version accepted to Neurocomputing, 2020)
*Di Wang, *X. Guo, Chaowen Guan, Shi Li, Jinhui Xu.
Distributed k-Clustering for Data with Heavy Noise. (NeurIPS'18) [poster | code]
(α) X. Guo, Shi Li.
Modal Consistency based Pre-trained Multi-Model Reuse. (IJCAI'17)
Yang Yang, De-Chuan Zhan, X.-Y. Guo, Yuan Jiang.
Obtaining High-quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing. (IJCAI'17)
Wei Wang, X.-Y. Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou.
Online Food Delivery on Stars. (Theoretical Computer Science, 2022)
(α) X. Guo, Kelin Luo, Zhihao Gavin Tang, Yuhao Zhang.
Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding. (Machine Learning, 2020) [code]
*Di Wang, *X. Guo, Shi Li, Jinhui Xu.