Hyunwoo J Kim
17 papers · 2017–2024 · 3 conferences · across top CS/AI conferences
Achievements
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Keyword Pioneer
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(17)
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Conferences
NIPS (15)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
graph neural network
(6)
link prediction
(3)
data augmentation
(3)
latent space optimization
(2)
node classification
(2)
transfer learning
(1)
image generation
(1)
3d reconstruction
(1)
attention mechanism
(1)
self-supervised learning
(1)
semi-supervised learning
(1)
question answering
(1)
multi-label classification
(1)
3d vision
(1)
message passing
(1)
graph classification
(1)
instruction tuning
(1)
mutual information
(1)
discrete optimization
(1)
flow matching
(1)
Papers
LLaMo: Large Language Model-based Molecular Graph Assistant
NIPS 2024
Constant Acceleration Flow
NIPS 2024
Understanding Multi-compositional learning in Vision and Language models via Category Theory
ECCV 2024
Inversion-based Latent Bayesian Optimization
NIPS 2024
Distribution-Aware Prompt Tuning for Vision-Language Models
ICCV 2023
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
NIPS 2023
Advancing Bayesian Optimization via Learning Correlated Latent Space
NIPS 2023
UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field
NIPS 2023
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
NIPS 2022
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers
NIPS 2022
Invertible Monotone Operators for Normalizing Flows
NIPS 2022
SageMix: Saliency-Guided Mixup for Point Clouds
NIPS 2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks
NIPS 2021
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
NIPS 2021
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs
NIPS 2020
Graph Transformer Networks
NIPS 2019
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
NIPS 2017