Jaemin Yoo

74 papers A* 22A 6B 3Journal 36Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption.
AAAI
Sunwoo Kim, Soo Yong Lee, Kyungho Kim, Hyunjin Hwang, Jaemin Yoo, Kijung Shin
2026 — conf
Know-How's: A Multi-Modal Agent System for Converting Manufacturing Videos into Standard Operating Procedures.
ICAIIC
Jaegwang Sim, Jaemin Yoo, Mumin Chun, Eungyeol Lee, Dongyun Sung, Jinwook Choi, Gitae Koh, Yongjin Kwon
2026 A* conf
PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering.
WWW
Doyun Choi, Cheonwoo Lee, Biniyam Aschalew Tolera, Taewook Ham, Chanyoung Park, Jaemin Yoo
2026 J jnl
PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering.
CoRR
Doyun Choi, Cheonwoo Lee, Biniyam Aschalew Tolera, Taewook Ham, Chanyoung Park, Jaemin Yoo
2025 — conf
'Hello, World!': Making GNNs Talk with LLMs.
EMNLP (Findings)
Sunwoo Kim, Soo Yong Lee, Jaemin Yoo, Kijung Shin
2025 J jnl
'Hello, World!': Making GNNs Talk with LLMs.
CoRR
Sunwoo Kim, Soo Yong Lee, Jaemin Yoo, Kijung Shin
2025 A* conf
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block.
ICML
Dooho Lee, Myeong Kong, Sagad Hamid, Cheonwoo Lee, Jaemin Yoo
2025 J jnl
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block.
CoRR
Dooho Lee, Myeong Kong, Sagad Hamid, Cheonwoo Lee, Jaemin Yoo
2025 A* conf
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation.
WWW
Jin-Duk Park, Jaemin Yoo, Won-Yong Shin
2025 J jnl
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation.
CoRR
Jin-Duk Park, Jaemin Yoo, Won-Yong Shin
2025 J jnl
Emergence of psychopathological computations in large language models.
CoRR
Soo Yong Lee, Hyunjin Hwang, Taekwan Kim, Yuyeong Kim, Kyuri Park, Jaemin Yoo, Denny Borsboom, Kijung Shin
2025 A conf
End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection.
SDM
Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu
2025 J jnl
Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption.
CoRR
Sunwoo Kim, Soo Yong Lee, Kyungho Kim, Hyunjin Hwang, Jaemin Yoo, Kijung Shin
2025 J jnl
Fully Inductive Node Representation Learning via Graph View Transformation.
CoRR
Dooho Lee, Myeong Kong, Minho Jeong, Jaemin Yoo
2025 J jnl
ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation.
CoRR
Sunwoo Kim, Geon Lee, Kyungho Kim, Jaemin Yoo, Kijung Shin
2025 J jnl
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification.
CoRR
Chaewoon Bae, Doyun Choi, Jaehyun Lee, Jaemin Yoo
2025 — conf
Self-Tuning Self-Supervised Image Anomaly Detection.
KDD (2)
Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
2025 B conf
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals.
IEEE Big Data
Doyun Choi, Cheonwoo Lee, Jaemin Yoo
2025 J jnl
Simple and Behavior-Driven Augmentation for Recommendation with Rich Collaborative Signals.
CoRR
Doyun Choi, Cheonwoo Lee, Jaemin Yoo
2024 J jnl
End-To-End Self-tuning Self-supervised Time Series Anomaly Detection.
CoRR
Boje Deforce, Meng-Chieh Lee, Bart Baesens, Estefanía Serral Asensio, Jaemin Yoo, Leman Akoglu
2024 A* conf
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.
ICML
Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
2024 J jnl
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.
CoRR
Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
2024 A* conf
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
ICLR
Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin
2024 J jnl
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs.
CoRR
Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin
2024 — conf
NETEFFECT: Discovery and Exploitation of Generalized Network Effects.
PAKDD (1)
Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos
2024 J jnl
Political-LLM: Large Language Models in Political Science.
CoRR
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024 J jnl
Representative and Back-In-Time Sampling from Real-world Hypergraphs.
ACM Trans. Knowl. Discov. Data
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
2024 A* conf
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.
NeurIPS
Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin
2024 J jnl
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy.
CoRR
Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin
2023 A* conf
Classification of Edge-dependent Labels of Nodes in Hypergraphs.
KDD
Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin
2023 J jnl
Classification of Edge-dependent Labels of Nodes in Hypergraphs.
CoRR
Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin
2023 — conf
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.
ECML/PKDD (1)
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
2023 J jnl
DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.
CoRR
Jaemin Yoo, Yue Zhao, Lingxiao Zhao, Leman Akoglu
2023 J jnl
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success.
Trans. Mach. Learn. Res.
Jaemin Yoo, Tiancheng Zhao, Leman Akoglu
2023 J jnl
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection.
CoRR
Jaemin Yoo, Lingxiao Zhao, Leman Akoglu
2023 A* conf
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.
KDD
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin
2023 J jnl
How Transitive Are Real-World Group Interactions? - Measurement and Reproduction.
CoRR
Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin
2023 A* conf
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining.
KDD
Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos
2023 A* conf
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators.
KDD
Geon Lee, Jaemin Yoo, Kijung Shin
2023 J jnl
Reciprocity in directed hypergraphs: measures, findings, and generators.
Data Min. Knowl. Discov.
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin
2023 B conf
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities.
IEEE Big Data
Leman Akoglu, Jaemin Yoo
2023 J jnl
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities.
CoRR
Leman Akoglu, Jaemin Yoo
2023 A* conf
Towards Deep Attention in Graph Neural Networks: Problems and Remedies.
ICML
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin
2023 J jnl
Towards Deep Attention in Graph Neural Networks: Problems and Remedies.
CoRR
Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023 J jnl
UltraProp: Principled and Explainable Propagation on Large Graphs.
CoRR
Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos
2022 A* conf
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder.
KDD
Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
2022 J jnl
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder.
CoRR
Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
2022 B conf
Accurate Stock Movement Prediction with Self-supervised Learning from Sparse Noisy Tweets.
IEEE Big Data
Yejun Soun, Jaemin Yoo, Minyong Cho, Jihyeong Jeon, U Kang
2022 J jnl
Graph-based PU learning for binary and multiclass classification without class prior.
Knowl. Inf. Syst.
Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang
2022 A* conf
MiDaS: Representative Sampling from Real-world Hypergraphs.
WWW
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
2022 J jnl
MiDaS: Representative Sampling from Real-world Hypergraphs.
CoRR
Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin
2022 A conf
Mining of Real-world Hypergraphs: Patterns, Tools, and Generators.
CIKM
Geon Lee, Jaemin Yoo, Kijung Shin
2022 A* conf
Model-Agnostic Augmentation for Accurate Graph Classification.
WWW
Jaemin Yoo, Sooyeon Shim, U Kang
2022 J jnl
Model-Agnostic Augmentation for Accurate Graph Classification.
CoRR
Jaemin Yoo, Sooyeon Shim, U Kang
2022 A* conf
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators.
ICDM
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin
2022 J jnl
Reciprocity in Directed Hypergraphs: Measures, Findings, and Generators.
CoRR
Sunwoo Kim, Minyoung Choe, Jaemin Yoo, Kijung Shin
2022 J jnl
SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success.
CoRR
Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos
2022 A conf
Transition Matrix Representation of Trees with Transposed Convolutions.
SDM
Jaemin Yoo, Lee Sael
2022 J jnl
Transition Matrix Representation of Trees with Transposed Convolutions.
CoRR
Jaemin Yoo, Lee Sael
2022 J jnl
Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection.
CoRR
Jaemin Yoo, Tiancheng Zhao, Leman Akoglu
2021 A* conf
Accurate Graph-Based PU Learning without Class Prior.
ICDM
Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang
2021 A* conf
Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts.
KDD
Jaemin Yoo, Yejun Soun, Yong-chan Park, U Kang
2021 A conf
Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting.
SDM
Jaemin Yoo, U Kang
2021 — conf
Gaussian Soft Decision Trees for Interpretable Feature-Based Classification.
PAKDD (2)
Jaemin Yoo, Lee Sael
2020 A conf
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference.
WSDM
Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2020 J jnl
Signed Graph Diffusion Network.
CoRR
Jinhong Jung, Jaemin Yoo, U Kang
2019 A* conf
Belief Propagation Network for Hard Inductive Semi-Supervised Learning.
IJCAI
Jaemin Yoo, Hyunsik Jeon, U Kang
2019 A* conf
EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees.
ICDM
Jaemin Yoo, Lee Sael
2019 A* conf
Knowledge Extraction with No Observable Data.
NeurIPS
Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang
2018 J jnl
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets.
CoRR
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
2018 J jnl
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets.
Int. J. Approx. Reason.
Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
2018 A conf
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.
WSDM
Saehan Jo, Jaemin Yoo, U Kang
2017 A* conf
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.
ICDM
Jaemin Yoo, Saehan Jo, U Kang