Chanyoung Park

157 papers A* 44A 14Journal 87Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MSP-LLM: A Unified Large Language Model Framework for Complete Material Synthesis Planning. CoRR Heewoong Noh, Gyoung S. Na, Namkyeong Lee, Chanyoung Park
2026	A*	`conf`	RAG-Enhanced Collaborative LLM Agents for Drug Discovery. AAAI Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia
2026	J	`jnl`	Rethinking Failure Attribution in Multi-Agent Systems: A Multi-Perspective Benchmark and Evaluation. CoRR Yeonjun In, Mehrab Tanjim, Jayakumar Subramanian, Sungchul Kim, Uttaran Bhattacharya, Wonjoong Kim, Sangwu Park, Somdeb Sarkhel, Chanyoung Park
2026	J	`jnl`	Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback. CoRR Sein Kim, Sangwu Park, Hongseok Kang, Wonjoong Kim, Jimin Seo, Yeonjun In, Kanghoon Yoon, Chanyoung Park
2025	J	`jnl`	Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents. CoRR Wonjoong Kim, Sangwu Park, Yeonjun In, Sein Kim, Dongha Lee, Chanyoung Park
2025	J	`jnl`	CompoDistill: Attention Distillation for Compositional Reasoning in Multimodal LLMs. CoRR Jiwan Kim, Kibum Kim, Sangwoo Seo, Chanyoung Park
2025	J	`jnl`	Disambiguation in Conversational Question Answering in the Era of LLM: A Survey. CoRR Md. Mehrab Tanjim, Yeonjun In, Xiang Chen, Victor S. Bursztyn, Ryan A. Rossi, Sungchul Kim, Guang-Jie Ren, Vaishnavi Muppala, Shun Jiang, Yongsung Kim, Chanyoung Park
2025	A*	`conf`	Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey. EMNLP Md. Mehrab Tanjim, Yeonjun In, Xiang Chen, Victor S. Bursztyn, Ryan A. Rossi, Sungchul Kim, Guang-Jie Ren, Vaishnavi Muppala, Shun Jiang, Yongsung Kim, Chanyoung Park
2025	J	`jnl`	Disentangling Hyperedges through the Lens of Category Theory. CoRR Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park
2025	A*	`conf`	Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios. SIGIR Jiwan Kim, Hongseok Kang, Sein Kim, Kibum Kim, Chanyoung Park
2025	J	`jnl`	Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios. CoRR Jiwan Kim, Hongseok Kang, Sein Kim, Kibum Kim, Chanyoung Park
2025	—	`conf`	Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. NAACL (Long Papers) Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park
2025	A*	`conf`	Dynamic Time-aware Continual User Representation Learning. SIGIR Seungyoon Choi, Sein Kim, Hongseok Kang, Wonjoong Kim, Chanyoung Park
2025	J	`jnl`	Dynamic Time-aware Continual User Representation Learning. CoRR Seungyoon Choi, Sein Kim, Hongseok Kang, Wonjoong Kim, Chanyoung Park
2025	—	`conf`	Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics. KDD (1) Gyoung S. Na, Chanyoung Park
2025	A*	`conf`	Global Context-aware Representation Learning for Spatially Resolved Transcriptomics. ICML Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park
2025	J	`jnl`	Global Context-aware Representation Learning for Spatially Resolved Transcriptomics. CoRR Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park
2025	J	`jnl`	IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra. CoRR Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Kibum Kim, Chanyoung Park
2025	J	`jnl`	Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems. CoRR Kibum Kim, Sein Kim, Hongseok Kang, Jiwan Kim, Heewoong Noh, Yeonjun In, Kanghoon Yoon, Jinoh Oh, Chanyoung Park
2025	—	`conf`	Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. EMNLP (Findings) Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Mehrab Tanjim, Sangwu Park, Kibum Kim, Chanyoung Park
2025	J	`jnl`	Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. CoRR Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Md. Mehrab Tanjim, Kibum Kim, Chanyoung Park
2025	—	`conf`	Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? KDD (2) Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park
2025	J	`jnl`	Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? CoRR Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park
2025	—	`conf`	Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. KDD (2) Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025	J	`jnl`	Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. CoRR Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park
2025	—	`conf`	On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. KDD (1) Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
2025	J	`jnl`	On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. CoRR Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin
2025	A	`ed.`	Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 CIKM Meeyoung Cha, Chanyoung Park, Noseong Park, Carl Yang, Senjuti Basu Roy, Jessie Li, Jaap Kamps, Kijung Shin, Bryan Hooi, Lifang He
2025	A*	`conf`	RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. AAAI Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park
2025	J	`jnl`	RAG-Enhanced Collaborative LLM Agents for Drug Discovery. CoRR Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Chanyoung Park, Gabriele Scalia
2025	J	`jnl`	Report on the 34th ACM Conference on Information and Knowledge Management (CIKM 2025). SIGIR Forum Carl Yang, Senjuti Basu Roy, Zhenhui Jessie Li, Jaap Kamps, Meeyoung Cha, Chanyoung Park, Noseong Park
2025	A	`conf`	Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. WSDM Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park
2025	—	`conf`	SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials. NAACL (Findings) Wonjoong Kim, Sangwu Park, Yeonjun In, Seokwon Han, Chanyoung Park
2025	A*	`conf`	Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning. ICLR Gyoung S. Na, Chanyoung Park
2025	J	`jnl`	SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification. CoRR Kanghoon Yoon, Minsub Kim, Sungjae Lee, Joonhyung Lee, Sunghyeon Woo, Yeonjun In, Se Jung Kwon, Chanyoung Park, Dongsoo Lee
2025	A*	`conf`	Subgraph Federated Learning for Local Generalization. ICLR Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park
2025	J	`jnl`	Subgraph Federated Learning for Local Generalization. CoRR Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park
2025	A	`conf`	Target Circuit Matching in Large-Scale Netlists Using GNN-Based Region Prediction. ICCAD Sangwoo Seo, Jimin Seo, Yoonho Lee, Donghyeon Kim, Hyejin Shin, Banghyun Sung, Chanyoung Park
2025	J	`jnl`	Target Circuit Matching in Large-Scale Netlists using GNN-Based Region Prediction. CoRR Sangwoo Seo, Jimin Seo, Yoonho Lee, Donghyeon Kim, Hyejin Shin, Banghyun Sung, Chanyoung Park
2025	J	`jnl`	Training Robust Graph Neural Networks by Modeling Noise Dependencies. CoRR Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park
2025	A*	`conf`	Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. ICLR Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2025	J	`jnl`	Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. CoRR Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2024	J	`jnl`	3D Interaction Geometric Pre-training for Molecular Relational Learning. CoRR Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen Wang, Tianfan Fu, Chanyoung Park
2024	A*	`conf`	Adaptive Self-training Framework for Fine-grained Scene Graph Generation. ICLR Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2024	J	`jnl`	Adaptive Self-training Framework for Fine-grained Scene Graph Generation. CoRR Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2024	J	`jnl`	Continual Traffic Forecasting via Mixture of Experts. CoRR Sanghyun Lee, Chanyoung Park
2024	A*	`conf`	DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning. WWW Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park
2024	J	`jnl`	DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning. CoRR Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park
2024	A	`conf`	Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. CIKM Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park
2024	J	`jnl`	Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. CoRR Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park
2024	J	`jnl`	Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. CoRR Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park
2024	A*	`conf`	LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. CVPR Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2024	A*	`conf`	Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. KDD Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park
2024	J	`jnl`	Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. CoRR Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park
2024	—	`conf`	Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network. ECCV (55) Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen
2024	J	`jnl`	Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network. CoRR Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen
2024	J	`jnl`	RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. CoRR Kanghoon Yoon, Kibum Kim, Jaehyung Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park
2024	A*	`conf`	Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge. NeurIPS Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park
2024	J	`jnl`	Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge. CoRR Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park
2024	J	`jnl`	Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. CoRR Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park
2024	J	`jnl`	SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials. CoRR Wonjoong Kim, Sangwu Park, Yeonjun In, Seokwon Han, Chanyoung Park
2024	A*	`conf`	Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. KDD Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park
2024	J	`jnl`	Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. CoRR Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park
2024	A*	`conf`	Self-Guided Robust Graph Structure Refinement. WWW Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park
2024	J	`jnl`	Self-Guided Robust Graph Structure Refinement. CoRR Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park
2024	—	`conf`	Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation. ECCV (68) Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park
2024	J	`jnl`	Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation. CoRR Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park
2024	J	`jnl`	Single-cell RNA sequencing data imputation using bi-level feature propagation. Briefings Bioinform. Junseok Lee, Sukwon Yun, Yeongmin Kim, Tianlong Chen, Manolis Kellis, Chanyoung Park
2024	A*	`conf`	Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2024	J	`jnl`	Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting. CoRR Sanghyun Lee, Chanyoung Park
2024	A*	`conf`	Unsupervised Episode Generation for Graph Meta-learning. ICML Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park
2024	A	`conf`	Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CIKM Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
2024	J	`jnl`	Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CoRR Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun
2023	A	`conf`	Class Label-aware Graph Anomaly Detection. CIKM Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park
2023	J	`jnl`	Class Label-aware Graph Anomaly Detection. CoRR Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park
2023	A*	`conf`	Conditional Graph Information Bottleneck for Molecular Relational Learning. ICML Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
2023	J	`jnl`	Conditional Graph Information Bottleneck for Molecular Relational Learning. CoRR Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park
2023	J	`jnl`	Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning. Bioinform. Junseok Lee, Sungwon Kim, Dongmin Hyun, Namkyeong Lee, Yejin Kim, Chanyoung Park
2023	A*	`conf`	Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. NeurIPS Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
2023	J	`jnl`	Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. CoRR Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
2023	A*	`conf`	Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. AAAI Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park
2023	A*	`conf`	Interpretable Prototype-based Graph Information Bottleneck. NeurIPS Sangwoo Seo, Sungwon Kim, Chanyoung Park
2023	J	`jnl`	Interpretable Prototype-based Graph Information Bottleneck. CoRR Sangwoo Seo, Sungwon Kim, Chanyoung Park
2023	J	`jnl`	LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation. CoRR Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
2023	A*	`conf`	MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. SIGIR Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park
2023	J	`jnl`	MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. CoRR Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park
2023	A	`conf`	MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. CIKM Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park
2023	J	`jnl`	MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. CoRR Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park
2023	J	`jnl`	Predicting Density of States via Multi-modal Transformer. CoRR Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park
2023	A	`conf`	S-Mixup: Structural Mixup for Graph Neural Networks. CIKM Junghurn Kim, Sukwon Yun, Chanyoung Park
2023	J	`jnl`	S-Mixup: Structural Mixup for Graph Neural Networks. CoRR Junghurn Kim, Sukwon Yun, Chanyoung Park
2023	J	`jnl`	STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2023	A*	`conf`	Shift-Robust Molecular Relational Learning with Causal Substructure. KDD Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park
2023	J	`jnl`	Shift-Robust Molecular Relational Learning with Causal Substructure. CoRR Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park
2023	A*	`conf`	Similarity Preserving Adversarial Graph Contrastive Learning. KDD Yeonjun In, Kanghoon Yoon, Chanyoung Park
2023	J	`jnl`	Similarity Preserving Adversarial Graph Contrastive Learning. CoRR Yeonjun In, Kanghoon Yoon, Chanyoung Park
2023	J	`jnl`	Single-cell RNA-seq data imputation using Feature Propagation. CoRR Sukwon Yun, Junseok Lee, Chanyoung Park
2023	J	`jnl`	Stoichiometry Representation Learning with Polymorphic Crystal Structures. CoRR Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park
2023	A*	`conf`	Task Relation-aware Continual User Representation Learning. KDD Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park
2023	J	`jnl`	Task Relation-aware Continual User Representation Learning. CoRR Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park
2023	A*	`conf`	Task-Equivariant Graph Few-shot Learning. KDD Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park
2023	J	`jnl`	Task-Equivariant Graph Few-shot Learning. CoRR Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park
2023	A*	`conf`	Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. AAAI Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park
2023	J	`jnl`	Unsupervised Episode Generation for Graph Meta-learning. CoRR Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park
2022	A*	`conf`	AHP: Learning to Negative Sample for Hyperedge Prediction. SIGIR Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin
2022	J	`jnl`	AHP: Learning to Negative Sample for Hyperedge Prediction. CoRR Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin
2022	A*	`conf`	Augmentation-Free Self-Supervised Learning on Graphs. AAAI Namkyeong Lee, Junseok Lee, Chanyoung Park
2022	A	`conf`	Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CIKM Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
2022	J	`jnl`	Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CoRR Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
2022	—	`conf`	Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022	J	`jnl`	Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022	A*	`conf`	GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. SIGIR Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park
2022	J	`jnl`	GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. CoRR Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park
2022	J	`jnl`	Heterogeneous Graph Learning for Multi-modal Medical Data Analysis. CoRR Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park
2022	A	`conf`	LTE4G: Long-Tail Experts for Graph Neural Networks. CIKM Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park
2022	J	`jnl`	LTE4G: Long-Tail Experts for Graph Neural Networks. CoRR Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park
2022	A*	`conf`	Nonlinearity Encoding for Extrapolation of Neural Networks. KDD Gyoung S. Na, Chanyoung Park
2022	A	`conf`	Relational Self-Supervised Learning on Graphs. CIKM Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park
2022	J	`jnl`	Relational Self-Supervised Learning on Graphs. CoRR Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park
2022	J	`jnl`	Self-supervised graph representation learning via positive mining. Inf. Sci. Namkyeong Lee, Junseok Lee, Chanyoung Park
2022	A*	`conf`	Set2Box: Similarity Preserving Representation Learning for Sets. ICDM Geon Lee, Chanyoung Park, Kijung Shin
2022	J	`jnl`	Set2Box: Similarity Preserving Representation Learning of Sets. CoRR Geon Lee, Chanyoung Park, Kijung Shin
2022	J	`jnl`	Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han
2022	J	`jnl`	Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network. CoRR Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park
2021	J	`jnl`	Augmentation-Free Self-Supervised Learning on Graphs. CoRR Namkyeong Lee, Junseok Lee, Chanyoung Park
2021	A*	`conf`	Bootstrapping User and Item Representations for One-Class Collaborative Filtering. SIGIR Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
2021	J	`jnl`	Bootstrapping User and Item Representations for One-Class Collaborative Filtering. CoRR Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu
2021	A*	`conf`	HDMI: High-order Deep Multiplex Infomax. WWW Baoyu Jing, Chanyoung Park, Hanghang Tong
2021	J	`jnl`	HDMI: High-order Deep Multiplex Infomax. CoRR Baoyu Jing, Chanyoung Park, Hanghang Tong
2021	A*	`conf`	Learnable Structural Semantic Readout for Graph Classification. ICDM Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
2021	J	`jnl`	Learnable Structural Semantic Readout for Graph Classification. CoRR Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
2021	J	`jnl`	Learning to utilize auxiliary reviews for recommendation. Inf. Sci. Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu
2020	J	`jnl`	Click-aware purchase prediction with push at the top. Inf. Sci. Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu
2020	J	`jnl`	Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl. Based Syst. Chanyoung Park, Jiawei Han, Hwanjo Yu
2020	A*	`conf`	Interest Sustainability-Aware Recommender System. ICDM Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu
2020	A*	`conf`	Unsupervised Attributed Multiplex Network Embedding. AAAI Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
2020	A*	`conf`	Unsupervised Differentiable Multi-aspect Network Embedding. KDD Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
2020	J	`jnl`	Unsupervised Differentiable Multi-aspect Network Embedding. CoRR Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
2019	A*	`conf`	Action Space Learning for Heterogeneous User Behavior Prediction. IJCAI Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu
2019	J	`jnl`	An encoder-decoder switch network for purchase prediction. Knowl. Based Syst. Chanyoung Park, Donghyun Kim, Hwanjo Yu
2019	A	`conf`	BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CIKM Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
2019	J	`jnl`	BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CoRR Seonghyeon Lee, Chanyoung Park, Hwanjo Yu
2019	J	`jnl`	Collaborative Translational Metric Learning. CoRR Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
2019	A*	`conf`	Sequential and Diverse Recommendation with Long Tail. IJCAI Yejin Kim, KwangSeob Kim, Chanyoung Park, Hwanjo Yu
2019	J	`jnl`	Target-aware convolutional neural network for target-level sentiment analysis. Inf. Sci. Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
2019	A	`conf`	Task-Guided Pair Embedding in Heterogeneous Network. CIKM Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
2019	J	`jnl`	Task-Guided Pair Embedding in Heterogeneous Network. CoRR Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
2019	J	`jnl`	Unsupervised Attributed Multiplex Network Embedding. CoRR Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
2018	A*	`conf`	Collaborative Translational Metric Learning. ICDM Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
2018	A*	`conf`	Review Sentiment-Guided Scalable Deep Recommender System. SIGIR Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu
2017	J	`jnl`	Deep hybrid recommender systems via exploiting document context and statistics of items. Inf. Sci. Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu
2017	A*	`conf`	Do "Also-Viewed" Products Help User Rating Prediction? WWW Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
2017	J	`jnl`	Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship. CoRR Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu
2016	A	`conf`	Convolutional Matrix Factorization for Document Context-Aware Recommendation. RecSys Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu
2016	J	`jnl`	Improving top-K recommendation with truster and trustee relationship in user trust network. Inf. Sci. Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
2016	—	`conf`	TRecSo: Enhancing Top-k Recommendation With Social Information. WWW (Companion Volume) Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu
2015	—	`conf`	Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. RecSys Challenge Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu