publications

2025

1. 

   Computing and Learning on Combinatorial Data

   Simon Zhang

   Purdue University Graduate School, 2025

   Bib PDF

   

   @phdthesis{zhang2025computing,
     title = {Computing and Learning on Combinatorial Data},
     author = {Zhang, Simon},
     year = {2025},
     school = {Purdue University Graduate School},
   }

2024

1. TMLR

   

   Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking

   Simon Zhang, Cheng Xin, and Tamal K. Dey

   Transactions on Machine Learning Research, 2024

   Bib HTML Code

   

   @article{zhang2024expressive,
     title = {Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking},
     author = {Zhang, Simon and Xin, Cheng and Dey, Tamal K.},
     journal = {Transactions on Machine Learning Research},
     issn = {2835-8856},
     year = {2024},
   }

2023

1. ICML

   

   Adversarial Data Augmentations for Out-of-Distribution Generalization

   Simon Zhang, Ryan P DeMilt, Kun Jin, and 1 more author

   Second Workshop on Spurious Correlations, Invariance and Stability (ICML 2023), 2023

   Bib

   

   @article{zhangadversarial,
     title = {Adversarial Data Augmentations for Out-of-Distribution Generalization},
     author = {Zhang, Simon and DeMilt, Ryan P and Jin, Kun and Xia, Cathy H},
     journal = {Second Workshop on Spurious Correlations, Invariance and Stability (ICML 2023)},
     year = {2023}
   }

2022

1. LoG

   

   GEFL: extended filtration learning for graph classification

   Simon Zhang, Soham Mukherjee, and Tamal K Dey

   In Learning on Graphs Conference, 2022

   Bib HTML Code

   

   @inproceedings{zhang2022gefl,
     title = {GEFL: extended filtration learning for graph classification},
     author = {Zhang, Simon and Mukherjee, Soham and Dey, Tamal K},
     booktitle = {Learning on Graphs Conference},
     pages = {16--1},
     year = {2022},
     organization = {PMLR},
   }

2. ALENEX

   

   Approximating 1-Wasserstein Distance between Persistence Diagrams by Graph Sparsification∗

   Tamal K Dey, and Simon Zhang

   In 2022 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX), 2022

   Bib HTML Code

   

   @inproceedings{dey2022approximating,
     title = {Approximating 1-Wasserstein Distance between Persistence Diagrams by Graph Sparsification∗},
     author = {Dey, Tamal K and Zhang, Simon},
     booktitle = {2022 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX)},
     pages = {169--183},
     year = {2022},
     organization = {SIAM},
   }

2020

1. SoCG

   

   GPU-Accelerated Computation of Vietoris-Rips Persistence Barcodes

   Simon Zhang, Mengbai Xiao, and Hao Wang

   In 36th International Symposium on Computational Geometry (SoCG 2020), 2020

   Bib HTML Code

   

   @inproceedings{zhang2020gpu,
     title = {GPU-Accelerated Computation of Vietoris-Rips Persistence Barcodes},
     author = {Zhang, Simon and Xiao, Mengbai and Wang, Hao},
     booktitle = {36th International Symposium on Computational Geometry (SoCG 2020)},
     year = {2020},
     organization = {Schloss-Dagstuhl-Leibniz Zentrum f{\"u}r Informatik},
   }

2019

1. ICS

   

   HYPHA: a framework based on separation of parallelisms to accelerate persistent homology matrix reduction

   Simon Zhang, Mengbai Xiao, Chengxin Guo, and 3 more authors

   In Proceedings of the ACM International Conference on Supercomputing, 2019

   Bib PDF Code

   

   @inproceedings{zhang2019hypha,
     title = {HYPHA: a framework based on separation of parallelisms to accelerate persistent homology matrix reduction},
     author = {Zhang, Simon and Xiao, Mengbai and Guo, Chengxin and Geng, Liang and Wang, Hao and Zhang, Xiaodong},
     booktitle = {Proceedings of the ACM International Conference on Supercomputing},
     pages = {69--81},
     year = {2019},
     organization = {ACM},
   }

2011

1. SoCC

   DOT: a matrix model for analyzing, optimizing and deploying software for big data analytics in distributed systems

   Yin Huai, Rubao Lee, Simon Zhang, and 2 more authors

   In Proceedings of the 2nd ACM Symposium on Cloud Computing, 2011

   Bib PDF

   

   @inproceedings{huai2011dot,
     title = {DOT: a matrix model for analyzing, optimizing and deploying software for big data analytics in distributed systems},
     author = {Huai, Yin and Lee, Rubao and Zhang, Simon and Xia, Cathy H and Zhang, Xiaodong},
     booktitle = {Proceedings of the 2nd ACM Symposium on Cloud Computing},
     pages = {1--14},
     year = {2011},
   }