Beilun Wang
12 papers · 2017–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (8) π Cross-Pollinator (7)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(21)
π£
Hot Topic Early Bird
Conferences
ICML (4)
ACL (3)
AISTATS (2)
IJCAI (2)
NIPS (1)
Top co-authors
Keywords
gaussian graphical model
(3)
sparse estimation
(2)
high-dimensional statistics
(2)
high-dimensional estimation
(2)
feature selection
(1)
episodic memory
(1)
model selection
(1)
matrix estimation
(1)
parameter estimation
(1)
energy efficiency
(1)
membrane potential
(1)
graph representation
(1)
inverse covariance
(1)
precision matrix
(1)
matrix completion
(1)
covariance estimation
(1)
inverse covariance estimation
(1)
domain knowledge
(1)
domain adaptation
(1)
multi-task learning
(1)
Papers
Structured Episodic Event Memory
ACL 2026
Compressing LLM Knowledge into Graph Representations for Text-attributed Graphs Learning
ACL 2026
LiGen: Active Lipid Generation via a Molecular Language Model
ACL 2026
Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security
ICML 2025
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks
IJCAI 2025
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings
NIPS 2024
Adaptive Group Personalization for Federated Mutual Transfer Learning
ICML 2024
A Difference Standardization Method for Mutual Transfer Learning
ICML 2022
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
IJCAI 2020
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
ICML 2018
Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
AISTATS 2018
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
AISTATS 2017