| Haar graph pooling YG Wang, M Li, Z Ma, G Montufar, X Zhuang, Y Fan International conference on machine learning, 9952-9962, 2020 | 81 | 2020 |
| Fast Haar transforms for graph neural networks M Li, Z Ma, YG Wang, X Zhuang Neural Networks 128, 188-198, 2020 | 74 | 2020 |
| Path integral based convolution and pooling for graph neural networks Z Ma, J Xuan, YG Wang, M Li, P Liò Advances in Neural Information Processing Systems 33, 16421-16433, 2020 | 72 | 2020 |
| Random scalar fields and hyperuniformity Z Ma, S Torquato Journal of Applied Physics 121 (24), 244904, 2017 | 67 | 2017 |
| Predicting permeability via statistical learning on higher-order microstructural information M Röding, Z Ma, S Torquato Scientific reports 10 (1), 15239, 2020 | 40 | 2020 |
| Precise algorithms to compute surface correlation functions of two-phase heterogeneous media and their applications Z Ma, S Torquato Physical Review E 98 (1), 013307, 2018 | 32 | 2018 |
| Transport properties of topological insulators films and nanowires Y Liu, Z Ma, YF Zhao, M Singh, J Wang Chinese Physics B 22 (6), 067302, 2013 | 22 | 2013 |
| Hyperuniformity of generalized random organization models Z Ma, S Torquato Physical Review E 99 (2), 022115, 2019 | 17 | 2019 |
| Optimized large hyperuniform binary colloidal suspensions in two dimensions Z Ma, E Lomba, S Torquato Physical review letters 125 (6), 068002, 2020 | 10 | 2020 |
| Generation and structural characterization of Debye random media Z Ma, S Torquato Physical Review E 102 (4), 043310, 2020 | 9 | 2020 |
| Haarpooling: Graph pooling with compressive haar basis YG Wang, M Li, Z Ma, G Montúfar, X Zhuang, Y Fan | 8 | 2019 |
| Generation and Structural Characterization of Non-Hyperuniform and Hyperuniform Disordered Systems Z Ma Princeton University, 2020 | | 2020 |
| Hyperuniformity and the universal scaling of spectral densities of a generalized random organization model Z Ma, S Torquato APS March Meeting Abstracts 2018, P54. 010, 2018 | | 2018 |
