Shuai Huang
14 papers · 2009–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Gold π Conference Polyglot Β· Silver π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(6)
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Topic Evolution
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Keyword Champion
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Keyword Pioneer
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Keyword Collector
(83)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(7)
Core Methods
(7)
Computer Vision
(6)
Learning Types
(5)
Optimization & Theory
(5)
Healthcare & Medicine
(4)
Domain-Specific
(4)
Application Areas
(3)
Clinical
(3)
Core AI
(3)
Analysis
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Paradigms
(2)
Keywords
feature selection
(4)
neuroimaging data
(2)
alzheimer disease
(2)
variational inference
(2)
dictionary learning
(2)
activity recognition
(2)
uncertainty quantification
(2)
brain connectivity
(1)
continual learning
(1)
functional connectivity
(1)
sparse coding
(1)
human activity recognition
(1)
brain signal processing
(1)
signal classification
(1)
causal inference
(1)
medical imaging
(1)
cognitive modeling
(1)
neuroimaging
(1)
context-aware learning
(1)
sparse representation
(1)
Papers
HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns
ACL 2026
AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception
ICCV 2023
Context De-Confounded Emotion Recognition
CVPR 2023
Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data
MLHC 2022
Emotion Recognition for Multiple Context Awareness
ECCV 2022
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty
ICML 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
AISTATS 2022
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
AISTATS 2020
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
AISTATS 2019
Doubly Sparsifying Network
IJCAI 2017
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity
CVPR 2016
A Scalable Algorithm for Structured Kernel Feature Selection
AISTATS 2015
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