Kewei Chen
7 papers · 2009–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(5)
π
Keyword Champion
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(3)
Core Methods
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Application Areas
(2)
Clinical
(2)
Core AI
(2)
Domain-Specific
(2)
Learning Types
(2)
Optimization & Theory
(2)
Deep Learning
(1)
Interdisciplinary
(1)
Reinforcement Learning
(1)
Robotics
(1)
Keywords
knowledge distillation
(3)
alzheimer disease
(2)
neuroimaging data
(2)
reinforcement learning
(1)
feature selection
(1)
brain connectivity
(1)
binary classification
(1)
medical imaging
(1)
multi-modality neuroimaging
(1)
distributed learning
(1)
hierarchical reinforcement learning
(1)
linear discriminant analysis
(1)
neuroimaging analysis
(1)
magnetic resonance imaging
(1)
alzheimer's disease
(1)
brain connectivity modeling
(1)
sparse inverse covariance
(1)
neuroimaging
(1)
catastrophic forgetting
(1)
model compression
(1)
Papers
FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models
AAAI 2026
PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks
AAAI 2026
DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
ACL 2025
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
ICML 2020
An Optimal Transportation Based Univariate Neuroimaging Index
ICCV 2017
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
NeurIPS 2011
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
NeurIPS 2009