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ORCIDChanyoung Park 0001
Person information
- affiliation: KAIST, Daejeon, South Korea
- affiliation (former): POSTECH, Pohang, South Korea
Other persons with the same name
- Chanyoung Park — disambiguation page
- Chanyoung Park 0002
![[0000-0002-7945-2362]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7945-2362")
— Korea University, School of Electrical Engineering, Seoul, Korea - Chanyoung Park 0003 — Yonsei University, School of Integrated Technology, Incheon, South Korea
- Chanyoung Park 0004 — Hanyang University, Department of Computer Science and Engineering, Ansan, South Korea
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2020 – today
- 2025
[c56]Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park:
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. AAAI 2025: 9562-9570- [c55]Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park:
Subgraph Federated Learning for Local Generalization. ICLR 2025 - [c54]Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin:
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. KDD (1) 2025: 613-624 - [c53]Gyoung S. Na, Chanyoung Park:
Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics. KDD (1) 2025: 1080-1091 - [c52]Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park:
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. WSDM 2025: 559-567 - [i62]Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin:
On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. CoRR abs/2501.05015 (2025) - [i61]Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian McAuley, Chanyoung Park:
Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? CoRR abs/2502.13909 (2025) - [i60]Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Md. Mehrab Tanjim, Kibum Kim, Chanyoung Park:
Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. CoRR abs/2502.15086 (2025) - [i59]Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. CoRR abs/2502.15370 (2025) - [i58]Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Chanyoung Park, Gabriele Scalia:
RAG-Enhanced Collaborative LLM Agents for Drug Discovery. CoRR abs/2502.17506 (2025) - [i57]Yeonjun In, Kanghoon Yoon, Sukwon Yun, Kibum Kim, Sungchul Kim, Chanyoung Park:
Training Robust Graph Neural Networks by Modeling Noise Dependencies. CoRR abs/2502.19670 (2025) - [i56]Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park:
Subgraph Federated Learning for Local Generalization. CoRR abs/2503.03995 (2025) - [i55]Kibum Kim, Sein Kim, Hongseok Kang, Jiwan Kim, Heewoong Noh, Yeonjun In, Kanghoon Yoon, Jinoh Oh, Chanyoung Park:
Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems. CoRR abs/2503.06238 (2025) - 2024
- [c51]Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI 2024: 12976-12984 - [c50]Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun:
Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CIKM 2024: 1153-1162 - [c49]Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park:
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. CIKM 2024: 3012-3021 - [c48]Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. CVPR 2024: 28306-28316 - [c47]Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen:
Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network. ECCV (55) 2024: 127-144 - [c46]Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation. ECCV (68) 2024: 379-395 - [c45]Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
Adaptive Self-training Framework for Fine-grained Scene Graph Generation. ICLR 2024 - [c44]Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park:
Unsupervised Episode Generation for Graph Meta-learning. ICML 2024 - [c43]Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. KDD 2024: 1395-1406 - [c42]Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park:
Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. KDD 2024: 2572-2583 - [c41]Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park:
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge. NeurIPS 2024 - [c40]Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park:
Self-Guided Robust Graph Structure Refinement. WWW 2024: 697-708 - [c39]Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park:
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning. WWW 2024: 733-744 - [i54]Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
Adaptive Self-training Framework for Fine-grained Scene Graph Generation. CoRR abs/2401.09786 (2024) - [i53]Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park:
Self-Guided Robust Graph Structure Refinement. CoRR abs/2402.11837 (2024) - [i52]Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park:
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning. CoRR abs/2402.13711 (2024) - [i51]Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. CoRR abs/2404.11343 (2024) - [i50]Wonjoong Kim, Sangwu Park, Yeonjun In, Seokwon Han, Chanyoung Park:
SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials. CoRR abs/2405.00021 (2024) - [i49]Sanghyun Lee, Chanyoung Park:
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting. CoRR abs/2406.02726 (2024) - [i48]Sanghyun Lee, Chanyoung Park:
Continual Traffic Forecasting via Mixture of Experts. CoRR abs/2406.03140 (2024) - [i47]Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park:
Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. CoRR abs/2406.13214 (2024) - [i46]Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun:
Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. CoRR abs/2407.09043 (2024) - [i45]Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation. CoRR abs/2407.15396 (2024) - [i44]Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen:
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network. CoRR abs/2407.17857 (2024) - [i43]Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park:
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. CoRR abs/2407.19155 (2024) - [i42]Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park:
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. CoRR abs/2409.02361 (2024) - [i41]Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park:
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge. CoRR abs/2410.21341 (2024) - [i40]Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park:
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. CoRR abs/2411.12775 (2024) - [i39]Namkyeong Lee, Yunhak Oh, Heewoong Noh, Gyoung S. Na, Minkai Xu, Hanchen Wang, Tianfan Fu, Chanyoung Park:
3D Interaction Geometric Pre-training for Molecular Relational Learning. CoRR abs/2412.02957 (2024) - [i38]Kanghoon Yoon, Kibum Kim, Jaehyung Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park:
RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. CoRR abs/2412.12788 (2024) - 2023
- [c38]Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park:
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. AAAI 2023: 3285-3294 - [c37]Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park:
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. AAAI 2023: 5141-5150 - [c36]Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park:
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. CIKM 2023: 1928-1938 - [c35]Junghurn Kim, Sukwon Yun, Chanyoung Park:
S-Mixup: Structural Mixup for Graph Neural Networks. CIKM 2023: 4003-4007 - [c34]Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park:
Class Label-aware Graph Anomaly Detection. CIKM 2023: 4008-4012 - [c33]Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park:
Conditional Graph Information Bottleneck for Molecular Relational Learning. ICML 2023: 18852-18871 - [c32]Yeonjun In, Kanghoon Yoon, Chanyoung Park:
Similarity Preserving Adversarial Graph Contrastive Learning. KDD 2023: 867-878 - [c31]Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Task Relation-aware Continual User Representation Learning. KDD 2023: 1107-1119 - [c30]Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park:
Task-Equivariant Graph Few-shot Learning. KDD 2023: 1120-1131 - [c29]Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park:
Shift-Robust Molecular Relational Learning with Causal Substructure. KDD 2023: 1200-1212 - [c28]Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park:
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. NeurIPS 2023 - [c27]Sangwoo Seo, Sungwon Kim, Chanyoung Park:
Interpretable Prototype-based Graph Information Bottleneck. NeurIPS 2023 - [c26]Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park:
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. SIGIR 2023: 68-77 - [i37]Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong:
STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR abs/2302.05428 (2023) - [i36]Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park:
Predicting Density of States via Multi-modal Transformer. CoRR abs/2303.07000 (2023) - [i35]Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park:
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. CoRR abs/2304.08382 (2023) - [i34]Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park:
Conditional Graph Information Bottleneck for Molecular Relational Learning. CoRR abs/2305.01520 (2023) - [i33]Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park:
Shift-Robust Molecular Relational Learning with Causal Substructure. CoRR abs/2305.18451 (2023) - [i32]Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park:
Task-Equivariant Graph Few-shot Learning. CoRR abs/2305.18758 (2023) - [i31]Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park:
Task Relation-aware Continual User Representation Learning. CoRR abs/2306.01792 (2023) - [i30]Yeonjun In, Kanghoon Yoon, Chanyoung Park:
Similarity Preserving Adversarial Graph Contrastive Learning. CoRR abs/2306.13854 (2023) - [i29]Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park:
Unsupervised Episode Generation for Graph Meta-learning. CoRR abs/2306.15217 (2023) - [i28]Sukwon Yun, Junseok Lee, Chanyoung Park:
Single-cell RNA-seq data imputation using Feature Propagation. CoRR abs/2307.10037 (2023) - [i27]Junghurn Kim, Sukwon Yun, Chanyoung Park:
S-Mixup: Structural Mixup for Graph Neural Networks. CoRR abs/2308.08097 (2023) - [i26]Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park:
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. CoRR abs/2308.09649 (2023) - [i25]Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park:
Class Label-aware Graph Anomaly Detection. CoRR abs/2308.11669 (2023) - [i24]Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park:
LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation. CoRR abs/2310.10404 (2023) - [i23]Sangwoo Seo, Sungwon Kim, Chanyoung Park:
Interpretable Prototype-based Graph Information Bottleneck. CoRR abs/2310.19906 (2023) - [i22]Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park:
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. CoRR abs/2311.12856 (2023) - [i21]Namkyeong Lee, Heewoong Noh, Gyoung S. Na, Tianfan Fu, Jimeng Sun, Chanyoung Park:
Stoichiometry Representation Learning with Polymorphic Crystal Structures. CoRR abs/2312.13289 (2023) - 2022
- [j8]Namkyeong Lee, Junseok Lee, Chanyoung Park:
Self-supervised graph representation learning via positive mining. Inf. Sci. 611: 476-493 (2022) - [c25]Namkyeong Lee, Junseok Lee, Chanyoung Park:
Augmentation-Free Self-Supervised Learning on Graphs. AAAI 2022: 7372-7380 - [c24]Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CIKM 2022: 812-821 - [c23]Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park:
Relational Self-Supervised Learning on Graphs. CIKM 2022: 1054-1063 - [c22]Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. CIKM 2022: 2434-2443 - [c21]Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) 2022: 2939-2951 - [c20]Geon Lee, Chanyoung Park, Kijung Shin:
Set2Box: Similarity Preserving Representation Learning for Sets. ICDM 2022: 1023-1028 - [c19]Gyoung S. Na, Chanyoung Park:
Nonlinearity Encoding for Extrapolation of Neural Networks. KDD 2022: 1284-1294 - [c18]Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin:
AHP: Learning to Negative Sample for Hyperedge Prediction. SIGIR 2022: 2237-2242 - [c17]Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park:
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. SIGIR 2022: 2243-2248 - [i20]Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han:
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR abs/2203.15802 (2022) - [i19]Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park:
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. CoRR abs/2204.01303 (2022) - [i18]Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin:
AHP: Learning to Negative Sample for Hyperedge Prediction. CoRR abs/2204.06353 (2022) - [i17]Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. CoRR abs/2208.10205 (2022) - [i16]Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park:
Relational Self-Supervised Learning on Graphs. CoRR abs/2208.10493 (2022) - [i15]Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CoRR abs/2209.06644 (2022) - [i14]Geon Lee, Chanyoung Park, Kijung Shin:
Set2Box: Similarity Preserving Representation Learning of Sets. CoRR abs/2210.03282 (2022) - [i13]Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park:
Heterogeneous Graph Learning for Multi-modal Medical Data Analysis. CoRR abs/2211.15158 (2022) - [i12]Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park:
Unbiased Heterogeneous Scene Graph Generation with Relation-aware Message Passing Neural Network. CoRR abs/2212.00443 (2022) - [i11]Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR abs/2212.10843 (2022) - 2021
- [j7]Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Learning to utilize auxiliary reviews for recommendation. Inf. Sci. 545: 595-607 (2021) - [c16]Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
Learnable Structural Semantic Readout for Graph Classification. ICDM 2021: 1180-1185 - [c15]Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu:
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. SIGIR 2021: 1513-1522 - [c14]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. WWW 2021: 2414-2424 - [i10]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. CoRR abs/2102.07810 (2021) - [i9]Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu:
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. CoRR abs/2105.06323 (2021) - [i8]Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
Learnable Structural Semantic Readout for Graph Classification. CoRR abs/2111.11523 (2021) - [i7]Namkyeong Lee, Junseok Lee, Chanyoung Park:
Augmentation-Free Self-Supervised Learning on Graphs. CoRR abs/2112.02472 (2021) - 2020
- [j6]Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu:
Click-aware purchase prediction with push at the top. Inf. Sci. 521: 350-364 (2020) - [j5]Chanyoung Park, Jiawei Han, Hwanjo Yu:
Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl. Based Syst. 197: 105861 (2020) - [c13]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. AAAI 2020: 5371-5378 - [c12]Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu:
Interest Sustainability-Aware Recommender System. ICDM 2020: 192-201 - [c11]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [i6]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020)
2010 – 2019
- 2019
- [j4]Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu:
Target-aware convolutional neural network for target-level sentiment analysis. Inf. Sci. 491: 166-178 (2019) - [j3]Chanyoung Park, Donghyun Kim, Hwanjo Yu:
An encoder-decoder switch network for purchase prediction. Knowl. Based Syst. 185 (2019) - [c10]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CIKM 2019: 489-498 - [c9]Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CIKM 2019: 619-628 - [c8]Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu:
Sequential and Diverse Recommendation with Long Tail. IJCAI 2019: 2740-2746 - [c7]Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu:
Action Space Learning for Heterogeneous User Behavior Prediction. IJCAI 2019: 2830-2836 - [i5]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CoRR abs/1906.01546 (2019) - [i4]Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. CoRR abs/1906.01637 (2019) - [i3]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. CoRR abs/1911.06750 (2019) - [i2]Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CoRR abs/1912.08925 (2019) - 2018
- [c6]Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. ICDM 2018: 367-376 - [c5]Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu:
Review Sentiment-Guided Scalable Deep Recommender System. SIGIR 2018: 965-968 - 2017
- [j2]Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu:
Deep hybrid recommender systems via exploiting document context and statistics of items. Inf. Sci. 417: 72-87 (2017) - [c4]Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Do "Also-Viewed" Products Help User Rating Prediction? WWW 2017: 1113-1122 - [i1]Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu:
Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship. CoRR abs/1706.06716 (2017) - 2016
- [j1]Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Improving top-K recommendation with truster and trustee relationship in user trust network. Inf. Sci. 374: 100-114 (2016) - [c3]Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu:
Convolutional Matrix Factorization for Document Context-Aware Recommendation. RecSys 2016: 233-240 - [c2]Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
TRecSo: Enhancing Top-k Recommendation With Social Information. WWW (Companion Volume) 2016: 89-90 - 2015
- [c1]Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. RecSys Challenge 2015: 8:1-8:4
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2025-05-12 21:42 CEST by the dblp team
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