Haibin Hang

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 8

Top Topics

Semi Supervised

Manifold Learning

Image Generation

Top Venues

J. Appl. Comput. Topol.

Publications

Justin Curry, Haibin Hang, Washington Mio, Tom Needham, Osman Berat Okutan
Decorated merge trees for persistent topology. J. Appl. Comput. Topol. 6 (3) (2022)
Mengyu Dai, Haibin Hang, Xiaoyang Guo
Adaptive Feature Interpolation for Low-Shot Image Generation. ECCV (15) (2022)
Mengyu Dai, Haibin Hang, Anuj Srivastava
AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks. CoRR (2021)
Mengyu Dai, Haibin Hang
Manifold Matching via Deep Metric Learning for Generative Modeling. ICCV (2021)
Mengyu Dai, Haibin Hang, Xiaoyang Guo
Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation. CoRR (2021)
Mengyu Dai, Haibin Hang
Adversarial Manifold Matching via Deep Metric Learning for Generative Modeling. CoRR (2021)
Haibin Hang, Chad Giusti, Lori Ziegelmeier, Gregory Henselman-Petrusek
U-match factorization: sparse homological algebra, lazy cycle representatives, and dualities in persistent (co)homology. CoRR (2021)
Haibin Hang, Facundo Mémoli, Washington Mio
A topological study of functional data and Fréchet functions of metric measure spaces. J. Appl. Comput. Topol. 3 (4) (2019)