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.

Contact

Postal Address

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

Office

wu ke feng gao.

Email

[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.



Teaching



Publications

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

Manuscripts:


Conferences:

On the Facility Location Problem in Online and Dynamic Models.

(α) X. Guo, Janardhan Kulkarni, Shi Li, Jiayi Xian.

In International Conference on Approximation Algorithms for Combinatorial Optimization Problems (APPROX'20), 2020.

On Approximating Degree-Bounded Network Design Problems.

[slides]

(α) X. Guo, Guy Kortsarz, Bundit Laekhanukit, Shi Li, Daniel Vaz, Jiayi Xian.

In International Conference on Approximation Algorithms for Combinatorial Optimization Problems (APPROX'20), 2020.

• Scalable Estimating Stochastic Linear Combination of Non-linear Regressions.

[code]

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

In Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI'20), 2020.

(Journal version accepted to Neurocomputing, 2020)

Distributed k-Clustering for Data with Heavy Noise.

[poster | code]

(α) X. Guo, Shi Li.

In Advances in Neural Information Processing Systems 31 (NeurIPS'18, Spotlight), 2018.

• Modal Consistency based Pre-trained Multi-Model Reuse.

Yang Yang, De-Chuan Zhan, X.-Y. Guo, Yuan Jiang.

In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), 2017.

• Obtaining High-quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing.

Wei Wang, X.-Y. Guo, Shao-Yuan Li, Yuan Jiang, Zhi-Hua Zhou.

In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), 2017.


Journals:

• Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding.

[code]

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

In Machine Learning, 2020.

• Estimating stochastic linear combination of non-linear regressions efficiently and scalably.

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

In Neurocomputing, 2020.

(Conference version appeared in AAAI, 2020)



Some Notes



Professional Activities

Reviewer for ISAAC'19, SoCG'20, SPAA'20.


Links

Last modified: Tue. 09/05/2020