Learning Influence Propagation of Personal Blogs with Content and Network Analyses. - Il-Chul Moon; Dongwoo Kim 002; Yohan Jo; Alice H. Oh (SocialCom/PASSAT, 2010)

Topic Chains for Understanding a News Corpus. - Dongwoo Kim 002; Alice Oh (CICLing (2), 2011)

Accounting for data dependencies within a hierarchical dirichlet process mixture model. - Dongwoo Kim 002; Alice Oh (CIKM, 2011)

Modeling topic hierarchies with the recursive chinese restaurant process. - Joon Hee Kim; Dongwoo Kim 002; Suin Kim; Alice Oh (CIKM, 2012)

Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data. - Dongwoo Kim 002; Suin Kim; Alice Oh (ICML, 2012)

Variable Selection for Latent Dirichlet Allocation - Dongwoo Kim 002; Yeonseung Chung; Alice Oh (CoRR, 2012)

Context-Dependent Conceptualization. - Dongwoo Kim 002; Haixun Wang; Alice Oh (IJCAI, 2013)

Social Media Dynamics of Global Co-presence During the 2014 FIFA World Cup. - Jae Won Kim; Dongwoo Kim 002; Brian Keegan; Joon Hee Kim; Suin Kim; Alice Oh (CHI, 2015)

Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches. - Dongwoo Kim 002; Lexing Xie; Cheng Soon Ong (CIKM, 2016)

Hierarchical learning of grids of microtopics. - Nebojsa Jojic; Alessandro Perina; Dongwoo Kim 002 (UAI, 2016)

Computer Assisted Composition with Recurrent Neural Networks. - Christian J. Walder; Dongwoo Kim 002 (ACML, 2017)

Online secondary path estimation in active noise control systems using a scheduled step size algorithm. - Dong Woo Kim 002; PooGyeon Park (ASCC, 2017)

Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing. - Yuan Jin; Mark James Carman; Dongwoo Kim 002; Lexing Xie (HCOMP, 2017)

PathRec: Visual Analysis of Travel Route Recommendations. - Dawei Chen; Dongwoo Kim 002; Lexing Xie; Minjeong Shin; Aditya Krishna Menon; Cheng Soon Ong; Iman Avazpour; John Grundy 001 (RecSys, 2017)

Hierarchical Dirichlet scaling process. - Dongwoo Kim 002; Alice Oh (Mach. Learn., 2017)

Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora. - Jooyeon Kim; Dongwoo Kim 002; Alice Oh (Trans. Assoc. Comput. Linguistics, 2017)

Self-Bounded Prediction Suffix Tree via Approximate String Matching. - Dongwoo Kim 002; Christian J. Walder (ICML, 2018)

Neural Dynamic Programming for Musical Self Similarity. - Christian J. Walder; Dongwoo Kim 002 (ICML, 2018)

A robust online secondary-path filter active noise control system for noisy inputs and impulsive noises in sparse systems. - Dong Woo Kim 002; Minho Lee 003; PooGyeon Park (APCCAS, 2019)

A novel active noise control system with online secondary-path filter based on a stepsize controller. - Dong Woo Kim 002; PooGyeon Park (ASCC, 2019)

Visualizing Graph Differences from Social Media Streams. - Minjeong Shin; Dongwoo Kim 002; Jae Hee Lee 003; Umanga Bista; Lexing Xie (WSDM, 2019)

Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter. - Dongwoo Kim 002; Timothy Graham 001; Zimin Wan; Marian-Andrei Rizoiu (CoRR, 2019)

Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator. - Zhenyue Qin; Dongwoo Kim 002 (CoRR, 2019)

Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter. - Dongwoo Kim 002; Timothy Graham 001; Zimin Wan; Marian-Andrei Rizoiu (J. Comput. Soc. Sci., 2019)

Implementation of acid concentration model based on MSPRNN for a steel pickling process. - Dong Woo Kim 002; PooGyeon Park (KST, 2020)

Adaptive Learning-Rate Backpropagation Neural Network Algorithm Based on the Minimization of Mean-Square Deviation for Impulsive Noises. - Dong Woo Kim 002; Min Su Kim; Jaeho Lee; PooGyeon Park (IEEE Access, 2020)

Recursive Least-Squares Lattice Algorithm Combined With Secondary-Path Innovation and Lattice-Order Decision Algorithms for Active Noise Control. - Dong Woo Kim 002; PooGyeon Park (IEEE Access, 2020)

A Variable Step-Size Robust Saturation Algorithm Against Impulsive Noises. - Junwoong Hur; Minho Lee 003; Dong Woo Kim 002; PooGyeon Park (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

Invertible Denoising Network: A Light Solution for Real Noise Removal. - Yang Liu 249; Zhenyue Qin; Saeed Anwar; Pan Ji; Dongwoo Kim 002; Sabrina B. Caldwell; Tom Gedeon (CVPR, 2021)

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs. - Shouheng Li; Dongwoo Kim 002; Qing Wang 002 (ECML/PKDD (2), 2021)

Roughly Collected Dataset for Contact Force Sensing Catheter. - Seunghyuk Cho; Minsoo Koo; Dongwoo Kim 002; Juyong Lee; Yeonwoo Jung; Kibyung Nam; Changmo Hwang (CoRR, 2021)

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs. - Sean Li; Dongwoo Kim 002; Qing Wang 002 (CoRR, 2021)

Leveraging Third-Order Features in Skeleton-Based Action Recognition. - Zhenyue Qin; Yang Liu 249; Pan Ji; Dongwoo Kim 002; Lei Wang 108; Bob McKay; Saeed Anwar; Tom Gedeon (CoRR, 2021)

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. - Zhenyue Qin; Saeed Anwar; Dongwoo Kim 002; Yang Liu 249; Pan Ji; Tom Gedeon (CoRR, 2021)

Neural Network Classifier as Mutual Information Evaluator. - Zhenyue Qin; Dongwoo Kim 002; Tom Gedeon (CoRR, 2021)

Informative Class Activation Maps. - Zhenyue Qin; Dongwoo Kim 002; Tom Gedeon (CoRR, 2021)

Anonymization for Skeleton Action Recognition. - Myeonghyeon Kim; Zhenyue Qin; Yang Liu 249; Dongwoo Kim 002 (CoRR, 2021)

Robust Deep Learning from Crowds with Belief Propagation. - Hoyoung Kim; Seunghyuk Cho; Dongwoo Kim 002; Jungseul Ok (AISTATS, 2022)

Item-based variational auto-encoder for fair music recommendation. - Jinhyeok Park; Dain Kim; Dongwoo Kim 002 (CIKM Workshops, 2022)

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns. - Zhenyue Qin; Pan Ji; Dongwoo Kim 002; Yang Liu 249; Saeed Anwar; Tom Gedeon (ECCV Workshops (5), 2022)

MetaSSD: Meta-Learned Self-Supervised Detection. - Moon Jeong Park; Jungseul Ok; Yo-Seb Jeon; Dongwoo Kim 002 (ISIT, 2022)

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. - Seunghyuk Cho; Juyong Lee; Jaesik Park; Dongwoo Kim 002 (NeurIPS, 2022)

ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark. - Zhenyue Qin; Yang Liu 249; Madhawa Perera; Tom Gedeon; Pan Ji; Dongwoo Kim 002; Saeed Anwar (CoRR, 2022)

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns. - Zhenyue Qin; Dongwoo Kim 002; Yang Liu 249; Saeed Anwar; Tom Gedeon (CoRR, 2022)

Few-Shot Unlearning by Model Inversion. - Youngsik Yoon; Jinhwan Nam; Hyojeong Yun; Dongwoo Kim 002; Jungseul Ok (CoRR, 2022)

Restructuring Graph for Higher Homophily via Learnable Spectral Clustering. - Shouheng Li; Dongwoo Kim 002; Qing Wang 002 (CoRR, 2022)

GM-VAE: Representation Learning with VAE on Gaussian Manifold. - Seunghyuk Cho; Juyong Lee; Dongwoo Kim 002 (CoRR, 2022)

Substructure-Atom Cross Attention for Molecular Representation Learning. - Jiye Kim; Seungbeom Lee; Dongwoo Kim 002; Sungsoo Ahn; Jaesik Park (CoRR, 2022)

Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering. - Shouheng Li; Dongwoo Kim 002; Qing Wang 002 (AAAI, 2023)

Anonymization for Skeleton Action Recognition. - Saemi Moon; Myeonghyeon Kim; Zhenyue Qin; Yang Liu 249; Dongwoo Kim 002 (AAAI, 2023)

Test-Time Embedding Normalization for Popularity Bias Mitigation. - Dain Kim; Jinhyeok Park; Dongwoo Kim 002 (CIKM, 2023)

Activity-Informed Industrial Audio Anomaly Detection Via Source Separation. - Jaechang Kim 001; Yunjoo Lee; Hyun Mi Cho; Dong Woo Kim 002; Chi Hoon Song; Jungseul Ok (ICASSP, 2023)

Robust Evaluation of Diffusion-Based Adversarial Purification. - Minjong Lee; Dongwoo Kim 002 (ICCV, 2023)

Local Vertex Colouring Graph Neural Networks. - Shouheng Li; Dongwoo Kim 002; Qing Wang 002 (ICML, 2023)

Hyperbolic VAE via Latent Gaussian Distributions. - Seunghyuk Cho; Juyong Lee; Dongwoo Kim 002 (NeurIPS, 2023)

SpReME: Sparse Regression for Multi-Environment Dynamic Systems. - Moon Jeong Park; Youngbin Choi; Namhoon Lee; Dongwoo Kim 002 (CoRR, 2023)

Feature Unlearning for Generative Models via Implicit Feedback. - Saemi Moon; Seunghyuk Cho; Dongwoo Kim 002 (CoRR, 2023)

Hierarchical Graph Generation with K2-trees. - Yunhui Jang; Dongwoo Kim 002; Sungsoo Ahn (CoRR, 2023)

Feature Unlearning for Pre-trained GANs and VAEs. - Saemi Moon; Seunghyuk Cho; Dongwoo Kim 002 (AAAI, 2024)

Graph Generation with K2-trees. - Yunhui Jang; Dongwoo Kim 002; Sungsoo Ahn (ICLR, 2024)

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs. - Moonjeong Park; Jaeseung Heo; Dongwoo Kim 002 (ICML, 2024)

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. - Jaeseung Heo; Seungbeom Lee; Sungsoo Ahn; Dongwoo Kim 002 (IJCAI, 2024)

Few-shot Unlearning. - Youngsik Yoon; Jinhwan Nam; Hyojeong Yun; Jaeho Lee; Dongwoo Kim 002; Jungseul Ok (SP, 2024)

Generalization of Graph Neural Networks through the Lens of Homomorphism. - Shouheng Li; Dongwoo Kim 002; Qing Wang 002 (CoRR, 2024)

Distinguishing Neighborhood Representations Through Reverse Process of GNNs for Heterophilic Graphs. - Moon Jeong Park; Jaeseung Heo; Dongwoo Kim 002 (CoRR, 2024)

Posterior Label Smoothing for Node Classification. - Jaeseung Heo; Moonjeong Park; Dongwoo Kim 002 (CoRR, 2024)

Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning. - Saemi Moon; Minjong Lee; Sangdon Park; Dongwoo Kim 002 (CoRR, 2024)

Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition. - Zhenyue Qin; Yang Liu 249; Pan Ji; Dongwoo Kim 002; Lei Wang 108; Robert I. McKay; Saeed Anwar; Tom Gedeon (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Bridging Generalization and Expressivity of Graph Neural Networks. - Shouheng Li; Floris Geerts; Dongwoo Kim 002; Qing Wang 002 (ICLR, 2025)

CoPL: Collaborative Preference Learning for Personalizing LLMs. - Youngbin Choi; Seunghyuk Cho; Minjong Lee; Moon Jeong Park; Yesong Ko; Jungseul Ok; Dongwoo Kim 002 (CoRR, 2025)

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. - Yiqun Zhang; Zhenyue Qin; Saeed Anwar; Dongwoo Kim 002; Yang Liu 249; Pan Ji; Tom Gedeon (IEEE Trans. Neural Networks Learn. Syst., 2025)

Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey. - Seunghyuk Cho; Zhenyue Qin; Yang Liu 249; Youngbin Choi; Seungbeom Lee; Dongwoo Kim 002 (CoRR, 2025)

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks. - Jaeseung Heo; Kyeongheung Yun; Seokwon Yoon; Moonjeong Park; Jungseul Ok; Dongwoo Kim 002 (CoRR, 2025)