Dongwoo Kim

Orcid: 0000-0002-6515-5260

Affiliations:
  • POSTECH, Pohang, South Korea
  • Australian National University, Acton, ACT, Australia (former)
  • KAIST, Daejeon, South Korea (former)


According to our database1, Dongwoo Kim authored at least 69 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Towards Bridging Generalization and Expressivity of Graph Neural Networks.
CoRR, 2024

Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning.
CoRR, 2024

Posterior Label Smoothing for Node Classification.
CoRR, 2024

Distinguishing Neighborhood Representations Through Reverse Process of GNNs for Heterophilic Graphs.
CoRR, 2024

Generalization of Graph Neural Networks through the Lens of Homomorphism.
CoRR, 2024

Few-shot Unlearning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Generation with K2-trees.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Feature Unlearning for Pre-trained GANs and VAEs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hierarchical Graph Generation with K<sup>2</sup>-trees.
CoRR, 2023

Feature Unlearning for Generative Models via Implicit Feedback.
CoRR, 2023

SpReME: Sparse Regression for Multi-Environment Dynamic Systems.
CoRR, 2023

Hyperbolic VAE via Latent Gaussian Distributions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Local Vertex Colouring Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Robust Evaluation of Diffusion-Based Adversarial Purification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Activity-Informed Industrial Audio Anomaly Detection Via Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Test-Time Embedding Normalization for Popularity Bias Mitigation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Anonymization for Skeleton Action Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Substructure-Atom Cross Attention for Molecular Representation Learning.
CoRR, 2022

GM-VAE: Representation Learning with VAE on Gaussian Manifold.
CoRR, 2022

Restructuring Graph for Higher Homophily via Learnable Spectral Clustering.
CoRR, 2022

Few-Shot Unlearning by Model Inversion.
CoRR, 2022

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns.
CoRR, 2022

ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark.
CoRR, 2022

A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MetaSSD: Meta-Learned Self-Supervised Detection.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Item-based variational auto-encoder for fair music recommendation.
Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Robust Deep Learning from Crowds with Belief Propagation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Anonymization for Skeleton Action Recognition.
CoRR, 2021

Informative Class Activation Maps.
CoRR, 2021

Neural Network Classifier as Mutual Information Evaluator.
CoRR, 2021

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions.
CoRR, 2021

Leveraging Third-Order Features in Skeleton-Based Action Recognition.
CoRR, 2021

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs.
CoRR, 2021

Roughly Collected Dataset for Contact Force Sensing Catheter.
CoRR, 2021

Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Invertible Denoising Network: A Light Solution for Real Noise Removal.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
A Variable Step-Size Robust Saturation Algorithm Against Impulsive Noises.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

Recursive Least-Squares Lattice Algorithm Combined With Secondary-Path Innovation and Lattice-Order Decision Algorithms for Active Noise Control.
IEEE Access, 2020

Adaptive Learning-Rate Backpropagation Neural Network Algorithm Based on the Minimization of Mean-Square Deviation for Impulsive Noises.
IEEE Access, 2020

Implementation of acid concentration model based on MSPRNN for a steel pickling process.
Proceedings of the 12th International Conference on Knowledge and Smart Technology, 2020

2019
Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter.
J. Comput. Soc. Sci., 2019

Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator.
CoRR, 2019

Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter.
CoRR, 2019

Visualizing Graph Differences from Social Media Streams.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

A novel active noise control system with online secondary-path filter based on a stepsize controller.
Proceedings of the 12th Asian Control Conference, 2019

A robust online secondary-path filter active noise control system for noisy inputs and impulsive noises in sparse systems.
Proceedings of the 2019 IEEE Asia Pacific Conference on Circuits and Systems, 2019

2018
Neural Dynamic Programming for Musical Self Similarity.
Proceedings of the 35th International Conference on Machine Learning, 2018

Self-Bounded Prediction Suffix Tree via Approximate String Matching.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora.
Trans. Assoc. Comput. Linguistics, 2017

Hierarchical Dirichlet scaling process.
Mach. Learn., 2017

PathRec: Visual Analysis of Travel Route Recommendations.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

Online secondary path estimation in active noise control systems using a scheduled step size algorithm.
Proceedings of the 11th Asian Control Conference, 2017

Computer Assisted Composition with Recurrent Neural Networks.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Hierarchical learning of grids of microtopics.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Social Media Dynamics of Global Co-presence During the 2014 FIFA World Cup.
Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2013
Context-Dependent Conceptualization.
Proceedings of the IJCAI 2013, 2013

2012
Variable Selection for Latent Dirichlet Allocation
CoRR, 2012

Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data.
Proceedings of the 29th International Conference on Machine Learning, 2012

Modeling topic hierarchies with the recursive chinese restaurant process.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Accounting for data dependencies within a hierarchical dirichlet process mixture model.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Topic Chains for Understanding a News Corpus.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2011

2010
Learning Influence Propagation of Personal Blogs with Content and Network Analyses.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010


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