Zou, Dongmian

10 publications

LoG 2025 Hyperbolic Kernel Convolution: A Generic Framework Eric Qu, Lige Zhang, Habib Debaya, Yue Wu, Dongmian Zou

TMLR 2024 Autoencoding Hyperbolic Representation for Adversarial Generation Eric Qu, Dongmian Zou

ECCV 2024 Improving Hyperbolic Representations via Gromov-Wasserstein Regularization Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad Lerman

NeurIPSW 2024 Klein Model for Hyperbolic Neural Networks Yidan Mao, Jing Gu, Marcus C. Werner, Dongmian Zou

AISTATS 2023 An Unpooling Layer for Graph Generation Yinglong Guo, Dongmian Zou, Gilad Lerman

ICMLW 2023 Making Text-Image Connection Formal and Practical Carlos-Gustavo Salas-Flores, Dongmian Zou, Luyao Zhang

AISTATS 2023 Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman

LoG 2023 Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu, Dongmian Zou

NeurIPSW 2022 Lorentz Direct Concatenation for Stable Training in Hyperbolic Neural Networks Eric Qu, Dongmian Zou

ICLR 2020 Robust Subspace Recovery Layer for Unsupervised Anomaly Detection Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman