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← Authors

Yubei Chen

17 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+6 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (27)
🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) πŸ’Ž Century Club (16) πŸ—ƒοΈ Keyword Collector (63) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (8)

Conferences

CVPR (4) ICLR (4) ECCV (2) NIPS (2) AAAI (1) ICCV (1) MICCAI (1) NAACL (1) WACV (1)

Top co-authors

Yann LeCun (6) Stella X. Yu (5) Jiayun Wang (4) Bruno Olshausen (4) Yi Ma (3) Chun-Hsiao Yeh (3) Zeyu Yun (3) Yunhui Guo (2) Brian Cheung (2) Xudong Wang (1)

Keywords

hyperbolic space (2) model compression (2) unsupervised learning (2) reinforcement learning (1) manifold learning (1) zero-shot learning (1) image classification (1) feature learning (1) adversarial robustness (1) neural network training (1) visual reasoning (1) sparse coding (1) self-supervised learning (1) unsupervised feature learning (1) network pruning (1) metric learning (1) semantic hierarchy (1) parameter sharing (1) model-based reinforcement learning (1) representation learning (1)

Papers

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs AAAI 2026 Recover Biological Structure from Sparse-View Diffraction Images with Neural Volumetric Prior ICCV 2025 Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning CVPR 2025 URLOST: Unsupervised Representation Learning without Stationarity or Topology ICLR 2025 Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization ECCV 2024 Unsupervised Feature Learning with Emergent Data-Driven Prototypicality CVPR 2024 Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis MICCAI 2024 On the duality between contrastive and non-contrastive self-supervised learning ICLR 2023 Compact and Optimal Deep Learning With Recurrent Parameter Generators WACV 2023 Simple Emergent Action Representations from Multi-Task Policy Training ICLR 2023 Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform ICLR 2023 Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers CVPR 2022 Decoupled Contrastive Learning ECCV 2022 Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors NAACL 2021 Orthogonal Convolutional Neural Networks CVPR 2020 Superposition of many models into one NIPS 2019 The Sparse Manifold Transform NIPS 2018