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Dongwoo Kim 0002
Dong Woo Kim 0002
Person information
- affiliation: POSTECH, Pohang, South Korea
- affiliation (former): Australian National University, Acton, ACT, Australia
- affiliation (former): KAIST, Daejeon, South Korea
Other persons with the same name
- Dongwoo Kim (aka: Dong-Woo Kim, Dong Woo Kim) — disambiguation page
- Dongwoo Kim 0001
— Hanyang University, ERICA, Department of Electronics and Communication Engineering, Ansan, South Korea (and 1 more)
- Dongwoo Kim 0003
- Dongwoo Kim 0004
- Dongwoo Kim 0005 — POSTECH, Power Analog Electronics & Semiconductor Devices Lab, Pohang, Republic of Korea
- Dongwoo Kim 0006 — Microsoft
- Dongwoo Kim 0007
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2020 – today
- 2024
- [j7]Zhenyue Qin
Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4783-4797 (2024) - [c39]Saemi Moon, Seunghyuk Cho, Dongwoo Kim:
Feature Unlearning for Pre-trained GANs and VAEs. AAAI 2024: 21420-21428 - [c38]Yunhui Jang, Dongwoo Kim, Sungsoo Ahn:
Graph Generation with K2-trees. ICLR 2024 - [c37]Moonjeong Park, Jaeseung Heo, Dongwoo Kim:
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs. ICML 2024 - [c36]Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim:
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. IJCAI 2024: 4116-4126 - [c35]Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Jaeho Lee, Dongwoo Kim, Jungseul Ok:
Few-shot Unlearning. SP 2024: 3276-3292 - [i41]Shouheng Li, Dongwoo Kim, Qing Wang:
Generalization of Graph Neural Networks through the Lens of Homomorphism. CoRR abs/2403.06079 (2024) - [i40]Shouheng Li, Dongwoo Kim, Qing Wang:
Local Vertex Colouring Graph Neural Networks. CoRR abs/2403.06080 (2024) - [i39]Moon Jeong Park, Jaeseung Heo, Dongwoo Kim:
Distinguishing Neighborhood Representations Through Reverse Process of GNNs for Heterophilic Graphs. CoRR abs/2403.10543 (2024) - [i38]Jaeseung Heo, Moonjeong Park, Dongwoo Kim:
Posterior Label Smoothing for Node Classification. CoRR abs/2406.00410 (2024) - [i37]Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim:
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning. CoRR abs/2410.05664 (2024) - 2023
- [c34]Shouheng Li, Dongwoo Kim, Qing Wang:
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering. AAAI 2023: 8622-8630 - [c33]Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim:
Anonymization for Skeleton Action Recognition. AAAI 2023: 15028-15036 - [c32]Dain Kim
Test-Time Embedding Normalization for Popularity Bias Mitigation. CIKM 2023: 4023-4027 - [c31]Jaechang Kim
Activity-Informed Industrial Audio Anomaly Detection Via Source Separation. ICASSP 2023: 1-5 - [c30]Minjong Lee, Dongwoo Kim:
Robust Evaluation of Diffusion-Based Adversarial Purification. ICCV 2023: 134-144 - [c29]Shouheng Li, Dongwoo Kim, Qing Wang:
Local Vertex Colouring Graph Neural Networks. ICML 2023: 19616-19637 - [c28]Seunghyuk Cho, Juyong Lee, Dongwoo Kim:
Hyperbolic VAE via Latent Gaussian Distributions. NeurIPS 2023 - [i36]Moon Jeong Park, Youngbin Choi, Namhoon Lee, Dongwoo Kim:
SpReME: Sparse Regression for Multi-Environment Dynamic Systems. CoRR abs/2302.05942 (2023) - [i35]Saemi Moon, Seunghyuk Cho, Dongwoo Kim:
Feature Unlearning for Generative Models via Implicit Feedback. CoRR abs/2303.05699 (2023) - [i34]Minjong Lee, Dongwoo Kim:
Robust Evaluation of Diffusion-Based Adversarial Purification. CoRR abs/2303.09051 (2023) - [i33]Yunhui Jang, Dongwoo Kim, Sungsoo Ahn:
Hierarchical Graph Generation with K2-trees. CoRR abs/2305.19125 (2023) - [i32]Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim:
EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. CoRR abs/2306.01310 (2023) - [i31]Dain Kim, Jinhyeok Park, Dongwoo Kim:
Test Time Embedding Normalization for Popularity Bias Mitigation. CoRR abs/2308.11288 (2023) - 2022
- [c27]Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok:
Robust Deep Learning from Crowds with Belief Propagation. AISTATS 2022: 2803-2822 - [c26]Jinhyeok Park, Dain Kim, Dongwoo Kim:
Item-based variational auto-encoder for fair music recommendation. CIKM Workshops 2022 - [c25]Zhenyue Qin, Pan Ji, Dongwoo Kim, Yang Liu, Saeed Anwar, Tom Gedeon:
Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns. ECCV Workshops (5) 2022: 577-593 - [c24]Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim:
MetaSSD: Meta-Learned Self-Supervised Detection. ISIT 2022: 480-485 - [c23]Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim:
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. NeurIPS 2022 - [i30]Zhenyue Qin, Yang Liu, Madhawa Perera, Tom Gedeon, Pan Ji, Dongwoo Kim, Saeed Anwar:
ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark. CoRR abs/2205.02071 (2022) - [i29]Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim:
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. CoRR abs/2205.13371 (2022) - [i28]Zhenyue Qin, Dongwoo Kim, Yang Liu, Saeed Anwar, Tom Gedeon:
Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns. CoRR abs/2205.14405 (2022) - [i27]Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim:
MetaSSD: Meta-Learned Self-Supervised Detection. CoRR abs/2205.15271 (2022) - [i26]Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Dongwoo Kim, Jungseul Ok:
Few-Shot Unlearning by Model Inversion. CoRR abs/2205.15567 (2022) - [i25]Shouheng Li, Dongwoo Kim, Qing Wang
Restructuring Graph for Higher Homophily via Learnable Spectral Clustering. CoRR abs/2206.02386 (2022) - [i24]Seunghyuk Cho, Juyong Lee, Dongwoo Kim:
GM-VAE: Representation Learning with VAE on Gaussian Manifold. CoRR abs/2209.15217 (2022) - [i23]Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park:
Substructure-Atom Cross Attention for Molecular Representation Learning. CoRR abs/2210.08243 (2022) - [i22]Jinhyeok Park, Dain Kim, Dongwoo Kim:
Item-based Variational Auto-encoder for Fair Music Recommendation. CoRR abs/2211.01333 (2022) - 2021
- [c22]Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina B. Caldwell, Tom Gedeon:
Invertible Denoising Network: A Light Solution for Real Noise Removal. CVPR 2021: 13365-13374 - [c21]Shouheng Li, Dongwoo Kim
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs. ECML/PKDD (2) 2021: 450-465 - [i21]Seunghyuk Cho, Minsoo Koo, Dongwoo Kim, Juyong Lee, Yeonwoo Jung, Kibyung Nam, Changmo Hwang:
Roughly Collected Dataset for Contact Force Sensing Catheter. CoRR abs/2102.01932 (2021) - [i20]Sean Li, Dongwoo Kim, Qing Wang:
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs. CoRR abs/2103.14187 (2021) - [i19]Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina B. Caldwell, Tom Gedeon:
Invertible Denoising Network: A Light Solution for Real Noise Removal. CoRR abs/2104.10546 (2021) - [i18]Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon:
Leveraging Third-Order Features in Skeleton-Based Action Recognition. CoRR abs/2105.01563 (2021) - [i17]Zhenyue Qin, Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon:
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. CoRR abs/2105.11346 (2021) - [i16]Zhenyue Qin, Dongwoo Kim, Tom Gedeon:
Neural Network Classifier as Mutual Information Evaluator. CoRR abs/2106.10471 (2021) - [i15]Zhenyue Qin, Dongwoo Kim, Tom Gedeon:
Informative Class Activation Maps. CoRR abs/2106.10472 (2021) - [i14]Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok:
Robust Deep Learning from Crowds with Belief Propagation. CoRR abs/2111.00734 (2021) - [i13]Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim:
Anonymization for Skeleton Action Recognition. CoRR abs/2111.15129 (2021) - 2020
- [j6]Dong Woo Kim
Recursive Least-Squares Lattice Algorithm Combined With Secondary-Path Innovation and Lattice-Order Decision Algorithms for Active Noise Control. IEEE Access 8: 15952-15962 (2020) - [j5]Dong Woo Kim
Adaptive Learning-Rate Backpropagation Neural Network Algorithm Based on the Minimization of Mean-Square Deviation for Impulsive Noises. IEEE Access 8: 98018-98026 (2020) - [j4]Junwoong Hur
A Variable Step-Size Robust Saturation Algorithm Against Impulsive Noises. IEEE Trans. Circuits Syst. II Express Briefs 67-II(10): 2279-2283 (2020) - [c20]Dong Woo Kim
Implementation of acid concentration model based on MSPRNN for a steel pickling process. KST 2020: 155-158
2010 – 2019
- 2019
- [j3]Dongwoo Kim, Timothy Graham
Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter. J. Comput. Soc. Sci. 2(2): 331-351 (2019) - [c19]Dong Woo Kim, Minho Lee, PooGyeon Park
A robust online secondary-path filter active noise control system for noisy inputs and impulsive noises in sparse systems. APCCAS 2019: 281-284 - [c18]Dong Woo Kim, PooGyeon Park:
A novel active noise control system with online secondary-path filter based on a stepsize controller. ASCC 2019: 784-788 - [c17]Minjeong Shin, Dongwoo Kim
Visualizing Graph Differences from Social Media Streams. WSDM 2019: 806-809 - [i12]Dongwoo Kim, Timothy Graham, Zimin Wan, Marian-Andrei Rizoiu
Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter. CoRR abs/1901.05228 (2019) - [i11]Zhenyue Qin, Dongwoo Kim:
Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator. CoRR abs/1911.10688 (2019) - 2018
- [c16]Dongwoo Kim, Christian J. Walder:
Self-Bounded Prediction Suffix Tree via Approximate String Matching. ICML 2018: 2664-2672 - [c15]Christian J. Walder, Dongwoo Kim:
Neural Dynamic Programming for Musical Self Similarity. ICML 2018: 5092-5100 - [i10]Christian J. Walder, Dongwoo Kim:
Neural Dynamic Programming for Musical Self Similarity. CoRR abs/1802.03144 (2018) - [i9]Dongwoo Kim, Christian J. Walder:
Self-Bounded Prediction Suffix Tree via Approximate String Matching. CoRR abs/1802.03184 (2018) - 2017
- [j2]Dongwoo Kim
Hierarchical Dirichlet scaling process. Mach. Learn. 106(3): 387-418 (2017) - [j1]Jooyeon Kim, Dongwoo Kim, Alice Oh:
Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora. Trans. Assoc. Comput. Linguistics 5: 191-204 (2017) - [c14]Christian J. Walder, Dongwoo Kim:
Computer Assisted Composition with Recurrent Neural Networks. ACML 2017: 359-374 - [c13]Dong Woo Kim
Online secondary path estimation in active noise control systems using a scheduled step size algorithm. ASCC 2017: 801-806 - [c12]Yuan Jin, Mark James Carman, Dongwoo Kim, Lexing Xie:
Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing. HCOMP 2017: 79-88 - [c11]Dawei Chen
PathRec: Visual Analysis of Travel Route Recommendations. RecSys 2017: 364-365 - [i8]Jooyeon Kim, Dongwoo Kim, Alice Oh:
Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora. CoRR abs/1706.00593 (2017) - [i7]Dawei Chen, Dongwoo Kim, Lexing Xie, Minjeong Shin, Aditya Krishna Menon, Cheng Soon Ong, Iman Avazpour, John Grundy:
PathRec: Visual Analysis of Travel Route Recommendations. CoRR abs/1707.01627 (2017) - 2016
- [c10]Dongwoo Kim
Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches. CIKM 2016: 2257-2262 - [c9]Nebojsa Jojic, Alessandro Perina, Dongwoo Kim:
Hierarchical learning of grids of microtopics. UAI 2016 - [i6]Dongwoo Kim, Lexing Xie, Cheng Soon Ong:
Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches. CoRR abs/1608.05921 (2016) - [i5]Christian J. Walder, Dongwoo Kim:
Computer Assisted Composition with Recurrent Neural Networks. CoRR abs/1612.00092 (2016) - 2015
- [c8]Jae Won Kim, Dongwoo Kim
Social Media Dynamics of Global Co-presence During the 2014 FIFA World Cup. CHI 2015: 2623-2632 - [i4]Nebojsa Jojic, Alessandro Perina, Dongwoo Kim:
Hierarchical learning of grids of microtopics. CoRR abs/1503.03701 (2015) - 2014
- [c7]Dongwoo Kim, Alice Oh:
Hierarchical Dirichlet Scaling Process. ICML 2014: 973-981 - [i3]Dongwoo Kim, Alice Oh:
Hierarchical Dirichlet Scaling Process. CoRR abs/1404.1282 (2014) - 2013
- [c6]Dongwoo Kim, Haixun Wang, Alice Oh:
Context-Dependent Conceptualization. IJCAI 2013: 2654-2661 - 2012
- [c5]Joon Hee Kim, Dongwoo Kim
Modeling topic hierarchies with the recursive chinese restaurant process. CIKM 2012: 783-792 - [c4]Dongwoo Kim, Suin Kim, Alice Oh:
Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data. ICML 2012 - [i2]Dongwoo Kim, Yeonseung Chung, Alice Oh:
Variable Selection for Latent Dirichlet Allocation. CoRR abs/1205.1053 (2012) - [i1]Dongwoo Kim, Suin Kim, Alice Oh:
Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data. CoRR abs/1206.4658 (2012) - 2011
- [c3]Dongwoo Kim
Topic Chains for Understanding a News Corpus. CICLing (2) 2011: 163-176 - [c2]Dongwoo Kim
Accounting for data dependencies within a hierarchical dirichlet process mixture model. CIKM 2011: 873-878 - 2010
- [c1]Il-Chul Moon, Dongwoo Kim
Learning Influence Propagation of Personal Blogs with Content and Network Analyses. SocialCom/PASSAT 2010: 669-674
Coauthor Index
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