Sun Kim
12 papers · 2015–2025 · 8 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half
🌈
Renaissance Researcher
(6)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(68)
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Core Methods
(6)
Architectures
(5)
Artificial Intelligence
(4)
Core AI
(4)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Application Areas
(2)
Research
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Applications · Natural Language Processing
(1)
Applications · Computer Science
(1)
Keywords
graph neural network
(2)
domain generalization
(1)
electronic health record
(1)
information retrieval
(1)
expectation maximization
(1)
out-of-distribution generalization
(1)
ai safety
(1)
hierarchical representation
(1)
document classification
(1)
sparse structure learning
(1)
diffusion model
(1)
drug discovery
(1)
generative ai
(1)
invariant learning
(1)
attention mechanism
(1)
harmful content detection
(1)
clinical note
(1)
molecular representation
(1)
cross-attention mechanism
(1)
multi-task learning
(1)
Papers
BounDr.E: Predicting Drug-likeness via Biomedical Knowledge Alignment and EM-like One-Class Boundary Optimization
ICML 2025
CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction
ICLR 2025
CombiMOTS: Combinatorial Multi-Objective Tree Search for Dual-Target Molecule Generation
ICML 2025
MV-CLAM: Multi-View Molecular Interpretation with Cross-Modal Projection via Language Model
EMNLP 2025
Taxonomy and Analysis of Sensitive User Queries in Generative AI Search System
NAACL 2025
DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
AAAI 2024
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
CVPR 2024
SLM as Guardian: Pioneering AI Safety with Small Language Model
EMNLP 2024
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning
ACL 2023
Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
AAAI 2022
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification
IJCAI 2018
Summarizing Topical Contents from PubMed Documents Using a Thematic Analysis
EMNLP 2015