A topological study of functional data and Fréchet functions of metric measure spaces. - Haibin Hang; Facundo Mémoli; Washington Mio (J. Appl. Comput. Topol., 2019)

Manifold Matching via Deep Metric Learning for Generative Modeling. - Mengyu Dai; Haibin Hang (ICCV, 2021)

Adversarial Manifold Matching via Deep Metric Learning for Generative Modeling. - Mengyu Dai; Haibin Hang (CoRR, 2021)

U-match factorization: sparse homological algebra, lazy cycle representatives, and dualities in persistent (co)homology. - Haibin Hang; Chad Giusti; Lori Ziegelmeier; Gregory Henselman-Petrusek (CoRR, 2021)

AWGAN: Empowering High-Dimensional Discriminator Output for Generative Adversarial Networks. - Mengyu Dai; Haibin Hang; Anuj Srivastava (CoRR, 2021)

Implicit Data Augmentation Using Feature Interpolation for Diversified Low-Shot Image Generation. - Mengyu Dai; Haibin Hang; Xiaoyang Guo (CoRR, 2021)

Adaptive Feature Interpolation for Low-Shot Image Generation. - Mengyu Dai; Haibin Hang; Xiaoyang Guo (ECCV (15), 2022)

Decorated merge trees for persistent topology. - Justin Curry; Haibin Hang; Washington Mio; Tom Needham; Osman Berat Okutan (J. Appl. Comput. Topol., 2022)