Yuxiao Cheng
8 papers · 2023–2026 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Renaissance Researcher (10) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (25) π§ Keyword Pioneer
π
Cross-Pollinator
(15)
Conferences
AAAI (6)
ICLR (2)
Top co-authors
Research topics
Keywords
implicit neural representation
(2)
time series
(2)
neural compression
(1)
out-of-distribution generalization
(1)
granger causality
(1)
message passing
(1)
data compression
(1)
functional magnetic resonance imaging
(1)
high-dimensional datum
(1)
partial differential equation
(1)
causal representation learning
(1)
scientific computing
(1)
biomedical datum
(1)
symbolic regression
(1)
irregular sampling
(1)
domain-invariant representation
(1)
search space reduction
(1)
dimensional analysis
(1)
partial differential equation solver
(1)
graph neural network
(1)
Papers
COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series
AAAI 2026
FIND: A Framework for Discovering Formulas in Data
AAAI 2025
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
AAAI 2025
CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series
AAAI 2024
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
ICLR 2024
SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations
AAAI 2024
SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data
AAAI 2023
CUTS: Neural Causal Discovery from Irregular Time-Series Data
ICLR 2023