Dongwoo Kim - RankMe

95 papers A* 22A 8B 2C 1Journal 55Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Posterior Label Smoothing for Node Classification. AAAI Jaeseung Heo, MoonJeong Park, Dongwoo Kim
2026	J	`jnl`	Training-free Composition of Pre-trained GFlowNets for Multi-Objective Generation. CoRR Seokwon Yoon, Youngbin Choi, Seunghyuk Cho, Seungbeom Lee, MoonJeong Park, Dongwoo Kim
2026	J	`jnl`	Transductive Generalization via Optimal Transport and Its Application to Graph Node Classification. CoRR MoonJeong Park, Seungbeom Lee, Kyungmin Kim, Jaeseung Heo, Seunghyuk Cho, Shouheng Li, Sangdon Park, Dongwoo Kim
2025	A*	`conf`	CoPL: Collaborative Preference Learning for Personalizing LLMs. EMNLP Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim
2025	J	`jnl`	CoPL: Collaborative Preference Learning for Personalizing LLMs. CoRR Youngbin Choi, Seunghyuk Cho, Minjong Lee, Moon Jeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim
2025	—	`conf`	Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark. KDD (2) Suyeon Kim, SeongKu Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
2025	A*	`conf`	Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization. ICML Seungbeom Lee, Munsun Jo, Jungseul Ok, Dongwoo Kim
2025	—	`conf`	GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder. EMNLP (Findings) Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim
2025	J	`jnl`	In-Place Feedback: A New Paradigm for Guiding LLMs in Multi-Turn Reasoning. CoRR Youngbin Choi, Minjong Lee, Saemi Moon, Seunghyuk Cho, Chaehyeon Chung, MoonJeong Park, Dongwoo Kim
2025	J	`jnl`	Influence Functions for Edge Edits in Non-Convex Graph Neural Networks. CoRR Jaeseung Heo, Kyeongheung Yun, Seokwon Yoon, MoonJeong Park, Jungseul Ok, Dongwoo Kim
2025	J	`jnl`	Plane Geometry Problem Solving with Multi-modal Reasoning: A Survey. CoRR Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim
2025	J	`jnl`	Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. IEEE Trans. Neural Networks Learn. Syst. Yiqun Zhang, Zhenyue Qin, Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon
2025	J	`jnl`	The Oversmoothing Fallacy: A Misguided Narrative in GNN Research. CoRR MoonJeong Park, Sunghyun Choi, Jaeseung Heo, Eunhyeok Park, Dongwoo Kim
2025	A*	`conf`	Towards Bridging Generalization and Expressivity of Graph Neural Networks. ICLR Shouheng Li, Floris Geerts, Dongwoo Kim, Qing Wang
2024	J	`jnl`	Distinguishing Neighborhood Representations Through Reverse Process of GNNs for Heterophilic Graphs. CoRR Moon Jeong Park, Jaeseung Heo, Dongwoo Kim
2024	A*	`conf`	EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. IJCAI Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim
2024	A*	`conf`	Feature Unlearning for Pre-trained GANs and VAEs. AAAI Saemi Moon, Seunghyuk Cho, Dongwoo Kim
2024	A*	`conf`	Few-shot Unlearning. SP Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Jaeho Lee, Dongwoo Kim, Jungseul Ok
2024	J	`jnl`	Fusing Higher-Order Features in Graph Neural Networks for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Robert I. McKay, Saeed Anwar, Tom Gedeon
2024	J	`jnl`	Generalization of Graph Neural Networks through the Lens of Homomorphism. CoRR Shouheng Li, Dongwoo Kim, Qing Wang
2024	A*	`conf`	Graph Generation with K2-trees. ICLR Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
2024	J	`jnl`	Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning. CoRR Saemi Moon, Minjong Lee, Sangdon Park, Dongwoo Kim
2024	J	`jnl`	Local Vertex Colouring Graph Neural Networks. CoRR Shouheng Li, Dongwoo Kim, Qing Wang
2024	A*	`conf`	Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs. ICML MoonJeong Park, Jaeseung Heo, Dongwoo Kim
2024	J	`jnl`	Posterior Label Smoothing for Node Classification. CoRR Jaeseung Heo, MoonJeong Park, Dongwoo Kim
2024	J	`jnl`	Taming Gradient Oversmoothing and Expansion in Graph Neural Networks. CoRR Moon Jeong Park, Dongwoo Kim
2024	J	`jnl`	Towards Bridging Generalization and Expressivity of Graph Neural Networks. CoRR Shouheng Li, Floris Geerts, Dongwoo Kim, Qing Wang
2023	A*	`conf`	Anonymization for Skeleton Action Recognition. AAAI Saemi Moon, Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim
2023	J	`jnl`	EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost. CoRR Jaeseung Heo, Seungbeom Lee, Sungsoo Ahn, Dongwoo Kim
2023	J	`jnl`	Feature Unlearning for Generative Models via Implicit Feedback. CoRR Saemi Moon, Seunghyuk Cho, Dongwoo Kim
2023	J	`jnl`	Hierarchical Graph Generation with K CoRR Yunhui Jang, Dongwoo Kim, Sungsoo Ahn
2023	A*	`conf`	Hyperbolic VAE via Latent Gaussian Distributions. NeurIPS Seunghyuk Cho, Juyong Lee, Dongwoo Kim
2023	A*	`conf`	Local Vertex Colouring Graph Neural Networks. ICML Shouheng Li, Dongwoo Kim, Qing Wang
2023	A*	`conf`	Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering. AAAI Shouheng Li, Dongwoo Kim, Qing Wang
2023	A*	`conf`	Robust Evaluation of Diffusion-Based Adversarial Purification. ICCV Minjong Lee, Dongwoo Kim
2023	J	`jnl`	Robust Evaluation of Diffusion-Based Adversarial Purification. CoRR Minjong Lee, Dongwoo Kim
2023	J	`jnl`	SpReME: Sparse Regression for Multi-Environment Dynamic Systems. CoRR Moon Jeong Park, Youngbin Choi, Namhoon Lee, Dongwoo Kim
2023	J	`jnl`	Test Time Embedding Normalization for Popularity Bias Mitigation. CoRR Dain Kim, Jinhyeok Park, Dongwoo Kim
2023	A	`conf`	Test-Time Embedding Normalization for Popularity Bias Mitigation. CIKM Dain Kim, Jinhyeok Park, Dongwoo Kim
2022	A*	`conf`	A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. NeurIPS Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim
2022	J	`jnl`	A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning. CoRR Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim
2022	J	`jnl`	ANUBIS: Skeleton Action Recognition Dataset, Review, and Benchmark. CoRR Zhenyue Qin, Yang Liu, Madhawa Perera, Tom Gedeon, Pan Ji, Dongwoo Kim, Saeed Anwar
2022	J	`jnl`	Few-Shot Unlearning by Model Inversion. CoRR Youngsik Yoon, Jinhwan Nam, Hyojeong Yun, Dongwoo Kim, Jungseul Ok
2022	J	`jnl`	GM-VAE: Representation Learning with VAE on Gaussian Manifold. CoRR Seunghyuk Cho, Juyong Lee, Dongwoo Kim
2022	J	`jnl`	Item-based Variational Auto-encoder for Fair Music Recommendation. CoRR Jinhyeok Park, Dain Kim, Dongwoo Kim
2022	—	`conf`	Item-based variational auto-encoder for fair music recommendation. CIKM Workshops Jinhyeok Park, Dain Kim, Dongwoo Kim
2022	B	`conf`	MetaSSD: Meta-Learned Self-Supervised Detection. ISIT Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim
2022	J	`jnl`	MetaSSD: Meta-Learned Self-Supervised Detection. CoRR Moon Jeong Park, Jungseul Ok, Yo-Seb Jeon, Dongwoo Kim
2022	J	`jnl`	Restructuring Graph for Higher Homophily via Learnable Spectral Clustering. CoRR Shouheng Li, Dongwoo Kim, Qing Wang
2022	A	`conf`	Robust Deep Learning from Crowds with Belief Propagation. AISTATS Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok
2022	—	`conf`	Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns. ECCV Workshops (5) Zhenyue Qin, Pan Ji, Dongwoo Kim, Yang Liu, Saeed Anwar, Tom Gedeon
2022	J	`jnl`	Strengthening Skeletal Action Recognizers via Leveraging Temporal Patterns. CoRR Zhenyue Qin, Dongwoo Kim, Yang Liu, Saeed Anwar, Tom Gedeon
2022	J	`jnl`	Substructure-Atom Cross Attention for Molecular Representation Learning. CoRR Jiye Kim, Seungbeom Lee, Dongwoo Kim, Sungsoo Ahn, Jaesik Park
2021	J	`jnl`	Anonymization for Skeleton Action Recognition. CoRR Myeonghyeon Kim, Zhenyue Qin, Yang Liu, Dongwoo Kim
2021	—	`conf`	Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs. ECML/PKDD (2) Shouheng Li, Dongwoo Kim, Qing Wang
2021	J	`jnl`	Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs. CoRR Sean Li, Dongwoo Kim, Qing Wang
2021	J	`jnl`	Informative Class Activation Maps. CoRR Zhenyue Qin, Dongwoo Kim, Tom Gedeon
2021	A*	`conf`	Invertible Denoising Network: A Light Solution for Real Noise Removal. CVPR Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina B. Caldwell, Tom Gedeon
2021	J	`jnl`	Invertible Denoising Network: A Light Solution for Real Noise Removal. CoRR Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina B. Caldwell, Tom Gedeon
2021	J	`jnl`	Leveraging Third-Order Features in Skeleton-Based Action Recognition. CoRR Zhenyue Qin, Yang Liu, Pan Ji, Dongwoo Kim, Lei Wang, Bob McKay, Saeed Anwar, Tom Gedeon
2021	J	`jnl`	Neural Network Classifier as Mutual Information Evaluator. CoRR Zhenyue Qin, Dongwoo Kim, Tom Gedeon
2021	J	`jnl`	Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions. CoRR Zhenyue Qin, Saeed Anwar, Dongwoo Kim, Yang Liu, Pan Ji, Tom Gedeon
2021	J	`jnl`	Robust Deep Learning from Crowds with Belief Propagation. CoRR Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim, Jungseul Ok
2021	J	`jnl`	Roughly Collected Dataset for Contact Force Sensing Catheter. CoRR Seunghyuk Cho, Minsoo Koo, Dongwoo Kim, Juyong Lee, Yeonwoo Jung, Kibyung Nam, Changmo Hwang
2019	J	`jnl`	Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter. J. Comput. Soc. Sci. Dongwoo Kim, Timothy Graham, Zimin Wan, Marian-Andrei Rizoiu
2019	J	`jnl`	Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator. CoRR Zhenyue Qin, Dongwoo Kim
2019	J	`jnl`	Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter. CoRR Dongwoo Kim, Timothy Graham, Zimin Wan, Marian-Andrei Rizoiu
2019	A	`conf`	Visualizing Graph Differences from Social Media Streams. WSDM Minjeong Shin, Dongwoo Kim, Jae Hee Lee, Umanga Bista, Lexing Xie
2018	A*	`conf`	Neural Dynamic Programming for Musical Self Similarity. ICML Christian J. Walder, Dongwoo Kim
2018	J	`jnl`	Neural Dynamic Programming for Musical Self Similarity. CoRR Christian J. Walder, Dongwoo Kim
2018	A*	`conf`	Self-Bounded Prediction Suffix Tree via Approximate String Matching. ICML Dongwoo Kim, Christian J. Walder
2018	J	`jnl`	Self-Bounded Prediction Suffix Tree via Approximate String Matching. CoRR Dongwoo Kim, Christian J. Walder
2017	C	`conf`	Computer Assisted Composition with Recurrent Neural Networks. ACML Christian J. Walder, Dongwoo Kim
2017	J	`jnl`	Hierarchical Dirichlet scaling process. Mach. Learn. Dongwoo Kim, Alice Oh
2017	J	`jnl`	Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora. CoRR Jooyeon Kim, Dongwoo Kim, Alice Oh
2017	J	`jnl`	Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora. Trans. Assoc. Comput. Linguistics Jooyeon Kim, Dongwoo Kim, Alice Oh
2017	B	`conf`	Leveraging Side Information to Improve Label Quality Control in Crowd-Sourcing. HCOMP Yuan Jin, Mark James Carman, Dongwoo Kim, Lexing Xie
2017	A	`conf`	PathRec: Visual Analysis of Travel Route Recommendations. RecSys Dawei Chen, Dongwoo Kim, Lexing Xie, Minjeong Shin, Aditya Krishna Menon, Cheng Soon Ong, Iman Avazpour, John Grundy
2017	J	`jnl`	PathRec: Visual Analysis of Travel Route Recommendations. CoRR Dawei Chen, Dongwoo Kim, Lexing Xie, Minjeong Shin, Aditya Krishna Menon, Cheng Soon Ong, Iman Avazpour, John Grundy
2016	J	`jnl`	Computer Assisted Composition with Recurrent Neural Networks. CoRR Christian J. Walder, Dongwoo Kim
2016	A	`conf`	Hierarchical learning of grids of microtopics. UAI Nebojsa Jojic, Alessandro Perina, Dongwoo Kim
2016	A	`conf`	Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches. CIKM Dongwoo Kim, Lexing Xie, Cheng Soon Ong
2016	J	`jnl`	Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches. CoRR Dongwoo Kim, Lexing Xie, Cheng Soon Ong
2015	J	`jnl`	Hierarchical learning of grids of microtopics. CoRR Nebojsa Jojic, Alessandro Perina, Dongwoo Kim
2015	A*	`conf`	Social Media Dynamics of Global Co-presence During the 2014 FIFA World Cup. CHI Jae Won Kim, Dongwoo Kim, Brian Keegan, Joon Hee Kim, Suin Kim, Alice Oh
2014	A*	`conf`	Hierarchical Dirichlet Scaling Process. ICML Dongwoo Kim, Alice Oh
2014	J	`jnl`	Hierarchical Dirichlet Scaling Process. CoRR Dongwoo Kim, Alice Oh
2013	A*	`conf`	Context-Dependent Conceptualization. IJCAI Dongwoo Kim, Haixun Wang, Alice Oh
2012	J	`jnl`	Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data CoRR Dongwoo Kim, Suin Kim, Alice Oh
2012	A*	`conf`	Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data. ICML Dongwoo Kim, Suin Kim, Alice Oh
2012	A	`conf`	Modeling topic hierarchies with the recursive chinese restaurant process. CIKM Joon Hee Kim, Dongwoo Kim, Suin Kim, Alice Oh
2012	J	`jnl`	Variable Selection for Latent Dirichlet Allocation CoRR Dongwoo Kim, Yeonseung Chung, Alice Oh
2011	A	`conf`	Accounting for data dependencies within a hierarchical dirichlet process mixture model. CIKM Dongwoo Kim, Alice Oh
2011	—	`conf`	Topic Chains for Understanding a News Corpus. CICLing (2) Dongwoo Kim, Alice Oh
2010	—	`conf`	Learning Influence Propagation of Personal Blogs with Content and Network Analyses. SocialCom/PASSAT Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh