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Haibin Hang
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Decorated merge trees for persistent topology
J Curry, H Hang, W Mio, T Needham, OB Okutan
Journal of Applied and Computational Topology 6 (3), 371-428, 2022
272022
A Topological Study of Functional Data and Fréchet Functions of Metric Measure Spaces
H Hang, F Mémoli, W Mio
Journal of Applied and Computational Topology, 2019
122019
Adaptive feature interpolation for low-shot image generation
M Dai, H Hang, X Guo
European Conference on Computer Vision, 254-270, 2022
62022
Manifold matching via deep metric learning for generative modeling
M Dai, H Hang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
52021
Detecting carbon nanotube orientation with topological analysis of scanning electron micrographs
L Dong, H Hang, JG Park, W Mio, R Liang
Nanomaterials 12 (8), 1251, 2022
42022
Geometric and topological approaches to shape variation in Ginkgo leaves
H Hang, M Bauer, W Mio, L Mander
Royal Society Open Science 8 (11), 210978, 2021
42021
Rethinking multidimensional discriminator output for generative adversarial networks
M Dai, H Hang, A Srivastava
arXiv preprint arXiv:2109.03378, 2021
22021
Correspondence modules and persistence sheaves: a unifying perspective on one-parameter persistent homology
H Hang, W Mio
Japan Journal of Industrial and Applied Mathematics 40 (1), 41-93, 2023
12023
Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation.
M Dai, H Hang, X Guo
arXiv preprint arXiv:2112.02450, 2021
12021
Correspondence modules and persistence sheaves: a unifying framework for one-parameter persistent homology
H Hang, W Mio
arXiv preprint arXiv:2006.08557, 2020
12020
U-match factorization: sparse homological algebra, lazy cycle representatives, and dualities in persistent (co) homology
H Hang, C Giusti, L Ziegelmeier, G Henselman-Petrusek
arXiv preprint arXiv:2108.08831, 2021
2021
AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks.
M Dai, H Hang, A Srivastava
CoRR, 2021
2021
Adversarial Manifold Matching via Deep Metric Learning for Generative Modeling.
M Dai, H Hang
CoRR, 2021
2021
A New Formulation of 1-D Persistent Homology via Correspondence Modules
H Hang
The Florida State University, 2020
2020
Covariance tensors on Riemannian manifolds
H Hang, F Mémoli, W Mio
Oberwolfach Reports 15 (1), 153-156, 2018
2018
Homology and orientation reversing periodic maps on surfaces
H Hang
Topology and its Applications 229, 1-19, 2017
2017
Decorated Merge Trees and Reeb Graphs
T Needham, JM Curry, H Hang, W Mio, O Okutan, F Russold
2023 Spring Southeastern Sectional Meeting, 0
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Articles 1–17