Shinjae Yoo
17 papers · 2019–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (45) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π
Renaissance Researcher
(9)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(104)
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(11)
Architectures
(9)
Computer Vision
(5)
Application Areas
(5)
Learning Types
(5)
Models
(5)
Natural Language Processing
(4)
Mathematics & Optimization
(3)
Core Methods
(3)
Optimization
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Artificial Intelligence
(2)
Healthcare & Medicine
(2)
Keywords
information extraction
(2)
large language model
(2)
self-supervised learning
(2)
sparse attention
(2)
stochastic gradient descent
(1)
zero-shot learning
(1)
sequence modeling
(1)
temporal modeling
(1)
reinforcement learning
(1)
image generation
(1)
non-convex optimization
(1)
domain generalization
(1)
transfer learning
(1)
object detection
(1)
knowledge distillation
(1)
vision transformer
(1)
knowledge extraction
(1)
metric learning
(1)
language modeling
(1)
contrastive learning
(1)
Papers
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators
ICML 2025
Pareto Prompt Optimization
ICLR 2025
SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields
ICML 2025
AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer
AAAI 2024
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
NeurIPS 2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
ICLR 2024
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration
AAAI 2024
Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes
ACL 2024
A Neural PDE Solver with Temporal Stencil Modeling
ICML 2023
Automated Extraction of Molecular Interactions and Pathway Knowledge using Large Language Model, Galactica: Opportunities and Challenges
ACL 2023
SwiFT: Swin 4D fMRI Transformer
NeurIPS 2023
UVCGAN: UNet Vision Transformer Cycle-Consistent GAN for Unpaired Image-to-Image Translation
WACV 2023
Sparse Attention with Learning to Hash
ICLR 2022
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-Directional Metric Learning
ICCV 2021
Bounding the expected run-time of nonconvex optimization with early stopping
UAI 2020
Re-examination of the Role of Latent Variables in Sequence Modeling
NeurIPS 2019
Visual Detection with Context for Document Layout Analysis
EMNLP 2019