DOT: a matrix model for analyzing, optimizing and deploying software for big data analytics in distributed systems Y Huai, R Lee, S Zhang, CH Xia, X Zhang Proceedings of the 2nd ACM Symposium on Cloud Computing, 1-14, 2011 | 64 | 2011 |
GPU-accelerated computation of Vietoris-Rips persistence barcodes S Zhang, M Xiao, H Wang arXiv preprint arXiv:2003.07989, 2020 | 56 | 2020 |
Hypha: a framework based on separation of parallelisms to accelerate persistent homology matrix reduction S Zhang, M Xiao, C Guo, L Geng, H Wang, X Zhang Proceedings of the ACM International Conference on Supercomputing, 69-81, 2019 | 13 | 2019 |
GEFL: extended filtration learning for graph classification S Zhang, S Mukherjee, TK Dey Learning on Graphs Conference, 16: 1-16: 26, 2022 | 8 | 2022 |
Approximating 1-Wasserstein Distance between Persistence Diagrams by Graph Sparsification∗ TK Dey, S Zhang 2022 Proceedings of the Symposium on Algorithm Engineering and Experiments …, 2022 | 4 | 2022 |