Dongwoo Kim
27 papers · 2013–2026 · 11 venues · across top CS/AI venues
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Achievements
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(136)
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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(5)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(22)
Deep Learning
(17)
Artificial Intelligence
(10)
Architectures
(10)
Core Methods
(10)
Core AI
(8)
Learning Types Β· Machine Learning
(8)
Learning Types Β· Deep Learning
(7)
Optimization & Theory
(7)
Application Areas
(6)
Models
(6)
Computer Science
(3)
Computer Vision
(3)
Natural Language Processing
(3)
Bayesian & Probabilistic
(3)
Keywords
graph neural network
(6)
large language model
(4)
variational inference
(3)
machine unlearning
(2)
variational autoencoder
(2)
latent representation
(2)
symbolic music
(2)
node classification
(2)
hyperbolic space
(2)
sequence modeling
(2)
diffusion model
(2)
retrieval-augmented generation
(2)
vision-language model
(2)
transductive learning
(1)
density estimation
(1)
bayesian nonparametrics
(1)
bayesian inference
(1)
domain adaptation
(1)
adversarial robustness
(1)
benchmark evaluation
(1)
Papers
Exploring Iterative Controllable Summarization with Large Language Models
EACL 2026
Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey
EACL 2026
Posterior Label Smoothing for Node Classification
AAAI 2026
ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models
EMNLP 2025
CoPL: Collaborative Preference Learning for Personalizing LLMs
EMNLP 2025
Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization
ICML 2025
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder
EMNLP 2025
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
ICCV 2025
Retrieval-Augmented Generation with Estimation of Source Reliability
EMNLP 2025
Towards Bridging Generalization and Expressivity of Graph Neural Networks
ICLR 2025
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost
IJCAI 2024
Feature Unlearning for Pre-trained GANs and VAEs
AAAI 2024
Graph Generation with K^2-trees
ICLR 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
ICML 2024
Anonymization for Skeleton Action Recognition
AAAI 2023
Hyperbolic VAE via Latent Gaussian Distributions
NeurIPS 2023
Local Vertex Colouring Graph Neural Networks
ICML 2023
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering
AAAI 2023
Robust Evaluation of Diffusion-Based Adversarial Purification
ICCV 2023
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
NeurIPS 2022
Robust Deep Learning from Crowds with Belief Propagation
AISTATS 2022
Invertible Denoising Network: A Light Solution for Real Noise Removal
CVPR 2021
Neural Dynamic Programming for Musical Self Similarity
ICML 2018
Self-Bounded Prediction Suffix Tree via Approximate String Matching
ICML 2018
Computer Assisted Composition with Recurrent Neural Networks
ACML 2017
Hierarchical Dirichlet Scaling Process
ICML 2014
Context-Dependent Conceptualization
IJCAI 2013