Yanning Shen
15 papers · 2018–2026 · 9 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32)
π
Keyword Champion
(5)
ποΈ
Keyword Collector
(60)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Mathematics & Optimization
(6)
Core Methods
(6)
Optimization
(6)
Learning Types
(5)
Deep Learning
(4)
Application Areas
(3)
Bayesian & Probabilistic
(3)
Models
(3)
Core AI
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Architectures
(1)
Keywords
online learning
(8)
multi-kernel learning
(5)
random feature approximation
(5)
regret bound
(3)
random feature
(2)
federated learning
(2)
generative model
(2)
dynamic environment
(2)
kernel methods
(2)
interactive learning
(1)
gaussian process
(1)
constrained optimization
(1)
graph-based learning
(1)
kernel selection
(1)
conformal prediction
(1)
representation learning
(1)
multi-objective optimization
(1)
flow matching
(1)
conditional mutual information
(1)
temporal dependencies
(1)
Papers
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
AAAI 2026
Learning Straight Flows: Variational Flow Matching for Efficient Generation
CVPR 2026
Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes
L4DC 2026
DGExplainer: Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
IJCAI 2025
FairViT: Fair Vision Transformer via Adaptive Masking
ECCV 2024
FairWire: Fair Graph Generation
NeurIPS 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
NeurIPS 2024
Multi-model Ensemble Conformal Prediction in Dynamic Environments
NeurIPS 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
NeurIPS 2024
Graph-Aided Online Multi-Kernel Learning
JMLR 2023
Personalized Online Federated Learning with Multiple Kernels
NeurIPS 2022
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability
AISTATS 2020
Online Multi-Kernel Learning with Graph-Structured Feedback
ICML 2020
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics
JMLR 2019
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments
AISTATS 2018