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Yubo Ye

3 papers · 2024–2025 · 3 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

Venues

ICLR (1) MICCAI (1) NeurIPS (1)

Top co-authors

Linwei Wang (3) Maryam Toloubidokhti (2) Huafeng Liu (2) Xiajun Jiang (2) Kailong Fan (1) Ryan Missel (1) Ruby Shrestha (1) Sumeet Vadhavkar (1) Nilesh Kumar (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Core Methods (2) Learning Paradigms · Artificial Intelligence (2) Models (2) Learning Paradigms · Machine Learning (1) Optimization & Theory (1)

Keywords

multi-task learning (1) neural network optimization (1) parameter inference (1) parameter identifiability (1) physics-informed neural network (1) partial differential equation (1) hybrid generative model (1) physics-based model (1) hybrid deep generative model (1) physics-based inductive bia (1) task sampler (1)

Papers

IMREPET: Implicit Neural Representation for Unsupervised Dynamic PET Reconstruction MICCAI 2025 DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks ICLR 2024 On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution NeurIPS 2024