Yuxiao Cheng
8 papers · 2023–2026 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Gold
🗺️
Taxonomy Completionist
(26)
🌈
Renaissance Researcher
(8)
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Architectures
(4)
Core Methods
(4)
Application Areas
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Clinical
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Optimization
(2)
Keywords
time series
(3)
causal discovery
(3)
graph neural network
(2)
granger causality
(2)
implicit neural representation
(2)
message passing
(1)
partial differential equation
(1)
neural compression
(1)
irregular sampling
(1)
high-dimensional data
(1)
functional magnetic resonance imaging
(1)
normalizing flow
(1)
benchmark dataset
(1)
causal representation learning
(1)
scientific computing
(1)
data imputation
(1)
biomedical data
(1)
symbolic regression
(1)
data compression
(1)
out-of-distribution generalization
(1)
Papers
COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series
AAAI 2026
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
AAAI 2025
FIND: A Framework for Discovering Formulas in Data
AAAI 2025
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
ICLR 2024
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
AAAI 2024
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations
AAAI 2024
CUTS: Neural Causal Discovery from Irregular Time-Series Data
ICLR 2023
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data
AAAI 2023