Shinjae Yoo
18 papers · 2019–2025 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(13)
π§
Keyword Pioneer
π
Keyword Champion
(2)
π
Grand Slam
π±
Topic Pioneer
ποΈ
Keyword Collector
(81)
π
Century Club
(18)
π₯
Unstoppable
(7)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
ICLR (3)
ICML (3)
NIPS (3)
AAAI (2)
ACL (2)
EMNLP (1)
ICCV (1)
IJCNLP (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
self-supervised learning
(2)
faster r-cnn
(2)
large language model
(2)
document layout analysis
(2)
object detection
(2)
information extraction
(2)
region detection
(2)
contextual feature
(2)
metric learning
(1)
domain generalization
(1)
zero-shot learning
(1)
transfer learning
(1)
sequence modeling
(1)
knowledge extraction
(1)
nonconvex optimization
(1)
image generation
(1)
stochastic gradient descent
(1)
image translation
(1)
adversarial training
(1)
temporal modeling
(1)
Papers
Pareto Prompt Optimization
ICLR 2025
Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators
ICML 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
Leveraging LLMs and Web-based Visualizations for Profiling Bacterial Host Organisms and Genetic Toolboxes
ACL 2024
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
NIPS 2024
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration
AAAI 2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
ICLR 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
NIPS 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
NIPS 2019
Visual Detection with Context for Document Layout Analysis
IJCNLP 2019
Visual Detection with Context for Document Layout Analysis
EMNLP 2019