Publications

(α) means authors are listed in alphabetical order, and * means equal contribution)

Manuscripts

Conferences

• 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.

Journals

• 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.