Sungjun Cho
12 papers · 2019–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Grand Slam
ποΈ
Keyword Collector
(65)
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(5)
Core AI
(4)
Natural Language Processing
(3)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Keywords
model editing
(2)
graph neural network
(2)
molecular property prediction
(2)
continual learning
(2)
topic inference
(2)
graph representation learning
(1)
machine unlearning
(1)
attention mechanism
(1)
class-incremental learning
(1)
cross-modal learning
(1)
matrix factorization
(1)
knowledge unlearning
(1)
batch normalization
(1)
parameter-efficient learning
(1)
efficient computing
(1)
neural network optimization
(1)
message passing
(1)
latent topic analysis
(1)
co-occurrence statistics
(1)
knowledge distillation
(1)
Papers
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
AAAI 2025
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
ICLR 2025
Learning Equi-angular Representations for Online Continual Learning
CVPR 2024
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
AAAI 2024
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters
AAAI 2023
Improving Multi-Fidelity Optimization With a Recurring Learning Rate for Hyperparameter Tuning
WACV 2023
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning
CVPR 2023
Equivariant Hypergraph Neural Networks
ECCV 2022
Pure Transformers are Powerful Graph Learners
NeurIPS 2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
NeurIPS 2022
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference
ICML 2021
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm
EMNLP 2019