Xiangyu Guo's Homepage

Xiangyu Guo 郭翔宇

(also written as Xiang-Yu Guo)

I am a Ph.D. student in Department of Computer Science and Engineering of SUNY Buffalo, advised by Prof. Shi Li.

Before coming to Buffalo, I obtained my bachelor degree (2014) in Electronic Engineering from Xidian University, and master degree (2017) in Computer Science from Nanjing University under the supervision of Prof. Wei Wang.

Here is my CV.


Postal Address

Department of Computer Science and Engineering
The State University of New York at Buffalo
Amherst, NY 14260-2500


wu ke feng gao.


[first name] + [first letter of last name]@buffalo.edu

Research Interests

Currently I am mainly interested in approximation algorithms and their application in machine learning.



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



Scalable Estimating Stochastic Linear Combination of Non-linear Regressions. (AAAI'20) [code]

*Di Wang, *X. Guo, Chaowen Guan, Shi Li, Jinhui Xu.

(Journal version accepted to Neurocomputing, 2020)

Distributed k-Clustering for Data with Heavy Noise. (NeurIPS'18, Spotlight) [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.


• Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding. (Machine Learning, 2020) [code]

*Di Wang, *X. Guo, Shi Li, Jinhui Xu.

• Estimating stochastic linear combination of non-linear regressions efficiently and scalably. (Neurocomputing, 2020)

*Di Wang, *X. Guo, Chaowen Guan, Shi Li, Jinhui Xu.

(Conference version appeared in AAAI, 2020)

Some Notes

Professional Activities

Reviewer for ISAAC'19, SoCG'20, SPAA'20, NeurIPS'20, AAAI'21, AISTATS'21.


Last modified: Tue. 09/05/2020