Dongmian Zou

5 papers · 2020–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🌈 Renaissance Researcher (5)

Venues

AISTATS (2) ECCV (1) ICLR (1) JMLR (1)

Top co-authors

Gilad Lerman (4) Chieh-Hsin Lai (2) WonJun Lee (1) Yifei Yang (1) Xiaoqun Zhang (1) Yu Guang Wang (1) Yinglong Guo (1) Yuanhong Jiang (1)

Research topics

Deep Learning (4) Machine Learning (4) Core Methods (4) Architectures (3) Learning Types (2) Artificial Intelligence (1) Computer Vision (1) Data Science & Analytics (1) Knowledge & Reasoning (1) Mathematics & Optimization (1) Analysis (1) Applications (1) Core AI (1) Mathematics (1) Models (1)

Keywords

latent representation (2) variational autoencoder (2) outlier detection (2) message passing (1) novelty detection (1) reconstruction error (1) subspace recovery (1) generative adversarial network (1) hyperbolic representation (1) unsupervised anomaly detection (1) gromov-wasserstein distance (1) transport map (1) spectral transformation (1) scattering transform (1) hyperbolic neural network (1) few-shot image classification (1) graph neural network (1) neural network (1) graph unpooling (1) wasserstein distance (1)

Papers

Limiting Over-Smoothing and Over-Squashing of Graph Message Passing by Deep Scattering Transforms JMLR 2026 Improving Hyperbolic Representations via Gromov-Wasserstein Regularization ECCV 2024 An Unpooling Layer for Graph Generation AISTATS 2023 Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection AISTATS 2023 Robust Subspace Recovery Layer for Unsupervised Anomaly Detection ICLR 2020