| Quantifying Nanoparticle Assembly States in a Polymer Matrix through Deep Learning EZ Qu, AM Jimenez, SK Kumar, K Zhang Macromolecules 54 (7), 3034-3040, 2021 | 10 | 2021 |
| Hyperbolic Neural Networks for Molecular Generation E Qu, D Zou arXiv preprint arXiv:2201.12825, 2022 | 4 | 2022 |
| In Situ Atomic Force Microscopy Tracking of Nanoparticle Migration in Semicrystalline Polymers K Bornani, NF Mendez, AS Altorbaq, AJ Müller, Y Lin, EZ Qu, K Zhang, ... ACS Macro Letters 11 (6), 818-824, 2022 | 3 | 2022 |
| Autoencoding Hyperbolic Representation for Adversarial Generation E Qu, D Zou arXiv preprint arXiv:2201.12825, 2022 | 2 | 2022 |
| CNN Kernels Can Be the Best Shapelets E Qu, Y Wang, X Luo, W He, K Ren, D Li The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
| Hyperbolic Convolution via Kernel Point Aggregation E Qu, D Zou arXiv preprint arXiv:2306.08862, 2023 | | 2023 |
| Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer E Qu, X Luo, D Li The Eleventh International Conference on Learning Representations, 2023 | | 2023 |
| Lorentz Direct Concatenation for Stable Training in Hyperbolic Neural Networks E Qu, D Zou NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022 | | 2022 |
Dongmian ZouDuke Kunshan UniversityVerified email at duke.edu
