GPU-accelerated computation of Vietoris-Rips persistence barcodes S Zhang, M Xiao, H Wang arXiv preprint arXiv:2003.07989, 2020 | 67 | 2020 |
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 | 65 | 2011 |
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 | 16 | 2019 |
GEFL: extended filtration learning for graph classification S Zhang, S Mukherjee, TK Dey Learning on Graphs Conference, 16: 1-16: 26, 2022 | 14 | 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 | 6 | 2022 |
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking S Zhang, C Xin, TK Dey arXiv preprint arXiv:2402.11339, 2024 | 1 | 2024 |
Computing and Learning on Combinatorial Data S Zhang arXiv preprint arXiv:2502.05063, 2025 | | 2025 |
Adversarial Data Augmentations for Out-of-Distribution Generalization S Zhang, RP DeMilt, K Jin, CH Xia | | |