Gnot: A general neural operator transformer for operator learning Z Hao, Z Wang, H Su, C Ying, Y Dong, S Liu, Z Cheng, J Song, J Zhu International Conference on Machine Learning, 12556-12569, 2023 | 139 | 2023 |
A unified hard-constraint framework for solving geometrically complex pdes S Liu, H Zhongkai, C Ying, H Su, J Zhu, Z Cheng Advances in Neural Information Processing Systems 35, 20287-20299, 2022 | 23 | 2022 |
A Liouville theorem for the subcritical Lane-Emden system. Z Cheng, G Huang Discrete & Continuous Dynamical Systems: Series A 39 (3), 2019 | 21* | 2019 |
Bi-level physics-informed neural networks for pde constrained optimization using broyden's hypergradients Z Hao, C Ying, H Su, J Zhu, J Song, Z Cheng arXiv preprint arXiv:2209.07075, 2022 | 15 | 2022 |
On the Hardy-Littlewood-Sobolev type systems Z Cheng, G Huang, C Li arXiv preprint arXiv:1509.06822, 2015 | 13 | 2015 |
An extended discrete Hardy-Littlewood-Sobolev inequality Z Cheng, C Li arXiv preprint arXiv:1306.1649, 2013 | 12 | 2013 |
Shooting method with sign-changing nonlinearity Z Cheng, C Li Nonlinear Analysis: Theory, Methods & Applications 114, 2-12, 2015 | 11 | 2015 |
Nuno: A general framework for learning parametric pdes with non-uniform data S Liu, Z Hao, C Ying, H Su, Z Cheng, J Zhu International Conference on Machine Learning, 21658-21671, 2023 | 7 | 2023 |
Blow-up solutions for a mean field equation on a flat torus C Gui, Y Hu, Z Cheng Indiana University Math Journal, 2020 | 3* | 2020 |
Existence of solutions to the supercritical Hardy-Littlewood-Sobolev system with fractional Laplacians. Z Cheng, C Gui, Y Hu Discrete & Continuous Dynamical Systems: Series A 39 (3), 2019 | 3 | 2019 |
Reference neural operators: learning the smooth dependence of solutions of PDEs on geometric deformations Z Cheng, Z Hao, X Wang, J Huang, Y Wu, X Liu, Y Zhao, S Liu, H Su arXiv preprint arXiv:2405.17509, 2024 | 2 | 2024 |
Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations Z Cheng, J Li, C Wang, J Gu, H Xu, X Li, F Metze arXiv preprint arXiv:2009.05739, 2020 | 2 | 2020 |
RTC-VAE: HARNESSING THE PECULIARITY OF TOTAL CORRELATION IN LEARNING DISENTANGLED REPRESENTATIONS Z Cheng, JB Li, C Wang, J Gu, H Xu, X Li, F Metze | | |