Yubei Chen
18 papers · 2018–2026 · 9 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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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(79)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Learning Types Β· Deep Learning
(6)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Architectures
(4)
Core AI
(4)
Optimization & Theory
(4)
Application Areas
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Analysis
(1)
Applications
(1)
Keywords
representation learning
(5)
unsupervised learning
(3)
model compression
(2)
sparse coding
(2)
hyperbolic space
(2)
manifold learning
(2)
slow feature analysis
(2)
world model
(2)
reinforcement learning
(1)
adversarial robustness
(1)
image classification
(1)
neural network training
(1)
feature learning
(1)
spectral clustering
(1)
visual reasoning
(1)
multi-task learning
(1)
network pruning
(1)
unsupervised feature learning
(1)
metric learning
(1)
self-supervised learning
(1)
Papers
Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models
CVPR 2026
Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs
AAAI 2026
Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning
CVPR 2025
Recover Biological Structure from Sparse-View Diffraction Images with Neural Volumetric Prior
ICCV 2025
URLOST: Unsupervised Representation Learning without Stationarity or Topology
ICLR 2025
Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis
MICCAI 2024
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
ECCV 2024
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
CVPR 2024
Compact and Optimal Deep Learning With Recurrent Parameter Generators
WACV 2023
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
ICLR 2023
On the duality between contrastive and non-contrastive self-supervised learning
ICLR 2023
Simple Emergent Action Representations from Multi-Task Policy Training
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
NeurIPS 2019
The Sparse Manifold Transform
NeurIPS 2018