Kim, Dongwoo

32 publications

ICLRW 2025 CoPL: Collaborative Preference Learning for Personalizing LLMs Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim

ICML 2025 Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization Seungbeom Lee, Munsun Jo, Jungseul Ok, Dongwoo Kim

NeurIPS 2025 High-Order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction Seongsu Kim, Nayoung Kim, Dongwoo Kim, Sungsoo Ahn

ICCV 2025 Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim

NeurIPS 2025 Influence Functions for Edge Edits in Non-Convex Graph Neural Networks Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon, MoonJeong Park, Jungseul Ok, Dongwoo Kim

ICLR 2025 Towards Bridging Generalization and Expressivity of Graph Neural Networks Shouheng Li, Floris Geerts, Dongwoo Kim, Qing Wang

IJCAI 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim

AAAI 2024 Feature Unlearning for Pre-Trained GANs and VAEs Saemi Moon, Seunghyuk Cho, Dongwoo Kim

ICLR 2024 Graph Generation with $k^2$-Trees Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

ICML 2024 Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs Moonjeong Park, Jaeseung Heo, Dongwoo Kim

AAAI 2023 Anonymization for Skeleton Action Recognition Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim

ICMLW 2023 Hierarchical Graph Generation with $k^{2}$-Trees Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

NeurIPS 2023 Hyperbolic VAE via Latent Gaussian Distributions Seunghyuk Cho, Juyong Lee, Dongwoo Kim

ICMLW 2023 Hyperbolic VAE via Latent Gaussian Distributions Seunghyuk Cho, Juyong Lee, Dongwoo Kim

ICML 2023 Local Vertex Colouring Graph Neural Networks Shouheng Li, Dongwoo Kim, Qing Wang

AAAI 2023 Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li, Dongwoo Kim, Qing Wang

ICCV 2023 Robust Evaluation of Diffusion-Based Adversarial Purification Minjong Lee, Dongwoo Kim

AISTATS 2022 Robust Deep Learning from Crowds with Belief Propagation Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok

NeurIPS 2022 A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim

NeurIPSW 2022 Anonymization for Skeleton Action Recognition Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim

ECCVW 2022 Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns Zhenyue Qin, Pan Ji, Dongwoo Kim, Yang Liu, Saeed Anwar, Tom Gedeon

NeurIPSW 2022 Substructure-Atom Cross Attention for Molecular Representation Learning Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park

ECML-PKDD 2021 Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Shouheng Li, Dongwoo Kim, Qing Wang

CVPR 2021 Invertible Denoising Network: A Light Solution for Real Noise Removal Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina Caldwell, Tom Gedeon

ICML 2018 Neural Dynamic Programming for Musical Self Similarity Christian Walder, Dongwoo Kim

ICML 2018 Self-Bounded Prediction Suffix Tree via Approximate String Matching Dongwoo Kim, Christian Walder

ACML 2017 Computer Assisted Composition with Recurrent Neural Networks Christian Walder, Dongwoo Kim

MLJ 2017 Hierarchical Dirichlet Scaling Process Dongwoo Kim, Alice Oh

UAI 2016 Hierarchical Learning of Grids of Microtopics Nebojsa Jojic, Alessandro Perina, Dongwoo Kim

ICML 2014 Hierarchical Dirichlet Scaling Process Dongwoo Kim, Alice Oh

IJCAI 2013 Context-Dependent Conceptualization Dongwoo Kim, Haixun Wang, Alice Oh

ICML 2012 Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data Dongwoo Kim, Suin Kim, Alice Oh