Jinli Suo
15 papers · 2014–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold 𧬠Topic Evolution
ποΈ
Keyword Collector
(89)
π
Renaissance Researcher
(8)
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(9)
Computer Vision
(7)
Architectures
(6)
Core Methods
(6)
Artificial Intelligence
(5)
Core AI
(5)
Application Areas
(4)
Processing
(4)
Mathematics & Optimization
(3)
Learning Types
(3)
Models
(3)
Optimization
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Keywords
time series
(3)
implicit neural representation
(3)
causal discovery
(3)
image restoration
(3)
granger causality
(2)
graph neural network
(2)
optical aberration correction
(2)
neural compression
(1)
data compression
(1)
image reconstruction
(1)
message passing
(1)
geometric prior
(1)
image deblurring
(1)
low-rank representation
(1)
high-dimensional data
(1)
portrait animation
(1)
semantic information
(1)
functional magnetic resonance imaging
(1)
alternating direction method
(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
DVI:A Derivative-based Vision Network for INR
ICML 2025
FIND: A Framework for Discovering Formulas in Data
AAAI 2025
X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention
ICLR 2025
A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
CVPR 2024
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
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
ICCV 2021
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging
CVPR 2020
Blind Optical Aberration Correction by Exploring Geometric and Visual Priors
CVPR 2015
Transparent Object Reconstruction via Coded Transport of Intensity
CVPR 2014