Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (RecSys Challenge, 2015)

Convolutional Matrix Factorization for Document Context-Aware Recommendation. - Donghyun Kim 007; Chanyoung Park 001; Jinoh Oh; Sungyoung Lee 001; Hwanjo Yu (RecSys, 2016)

TRecSo: Enhancing Top-k Recommendation With Social Information. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (WWW (Companion Volume), 2016)

Improving top-K recommendation with truster and trustee relationship in user trust network. - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2016)

Do "Also-Viewed" Products Help User Rating Prediction? - Chanyoung Park 001; Donghyun Kim 007; Jinoh Oh; Hwanjo Yu (WWW, 2017)

Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship. - Chanyoung Park 001; Donghyun Kim 007; Min-Chul Yang; Jung-Tae Lee; Hwanjo Yu (CoRR, 2017)

Deep hybrid recommender systems via exploiting document context and statistics of items. - Donghyun Kim 007; Chanyoung Park 001; Jinoh Oh; Hwanjo Yu (Inf. Sci., 2017)

Collaborative Translational Metric Learning. - Chanyoung Park 001; Donghyun Kim 007; Xing Xie 001; Hwanjo Yu (ICDM, 2018)

Review Sentiment-Guided Scalable Deep Recommender System. - Dongmin Hyun; Chanyoung Park 001; Min-Chul Yang; Ilhyeon Song; Jung-Tae Lee; Hwanjo Yu (SIGIR, 2018)

BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. - Seonghyeon Lee; Chanyoung Park 001; Hwanjo Yu (CIKM, 2019)

Task-Guided Pair Embedding in Heterogeneous Network. - Chanyoung Park 001; Donghyun Kim 007; Qi Zhu 008; Jiawei Han 001; Hwanjo Yu (CIKM, 2019)

Sequential and Diverse Recommendation with Long Tail. - Yejin Kim 001; Kwangseob Kim; Chanyoung Park 001; Hwanjo Yu (IJCAI, 2019)

Action Space Learning for Heterogeneous User Behavior Prediction. - Dongha Lee 003; Chanyoung Park 001; Hyunjun Ju; Junyoung Hwang; Hwanjo Yu (IJCAI, 2019)

Target-aware convolutional neural network for target-level sentiment analysis. - Dongmin Hyun; Chanyoung Park 001; Min-Chul Yang; Ilhyeon Song; Jung-Tae Lee; Hwanjo Yu (Inf. Sci., 2019)

An encoder-decoder switch network for purchase prediction. - Chanyoung Park 001; Donghyun Kim 007; Hwanjo Yu (Knowl. Based Syst., 2019)

Unsupervised Attributed Multiplex Network Embedding. - Chanyoung Park 001; Donghyun Kim 007; Jiawei Han 001; Hwanjo Yu (AAAI, 2020)

Interest Sustainability-Aware Recommender System. - Dongmin Hyun; Junsu Cho; Chanyoung Park 001; Hwanjo Yu (ICDM, 2020)

Unsupervised Differentiable Multi-aspect Network Embedding. - Chanyoung Park 001; Carl Yang 001; Qi Zhu 008; Donghyun Kim 007; Hwanjo Yu; Jiawei Han 001 (KDD, 2020)

Click-aware purchase prediction with push at the top. - Chanyoung Park 001; Donghyun Kim 007; Min-Chul Yang; Jung-Tae Lee; Hwanjo Yu (Inf. Sci., 2020)

Deep multiplex graph infomax: Attentive multiplex network embedding using global information. - Chanyoung Park 001; Jiawei Han 001; Hwanjo Yu (Knowl. Based Syst., 2020)

Learnable Structural Semantic Readout for Graph Classification. - Dongha Lee 003; Su Kim; Seonghyeon Lee; Chanyoung Park 001; Hwanjo Yu (ICDM, 2021)

Bootstrapping User and Item Representations for One-Class Collaborative Filtering. - Dongha Lee 003; SeongKu Kang; Hyunjun Ju; Chanyoung Park 001; Hwanjo Yu (SIGIR, 2021)

HDMI: High-order Deep Multiplex Infomax. - Baoyu Jing; Chanyoung Park 001; Hanghang Tong (WWW, 2021)

Learning to utilize auxiliary reviews for recommendation. - Dongmin Hyun; Chanyoung Park 001; Junsu Cho; Hwanjo Yu (Inf. Sci., 2021)

Augmentation-Free Self-Supervised Learning on Graphs. - Namkyeong Lee; Junseok Lee 002; Chanyoung Park 001 (AAAI, 2022)

Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. - Dongmin Hyun; Chanyoung Park 001; Junsu Cho; Hwanjo Yu (CIKM, 2022)

Relational Self-Supervised Learning on Graphs. - Namkyeong Lee; Dongmin Hyun; Junseok Lee 002; Chanyoung Park 001 (CIKM, 2022)

LTE4G: Long-Tail Experts for Graph Neural Networks. - Sukwon Yun; Kibum Kim; Kanghoon Yoon; Chanyoung Park 001 (CIKM, 2022)

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. - Dongmin Hyun; Xiting Wang; Chanyoung Park 001; Xing Xie 001; Hwanjo Yu (EMNLP (Findings), 2022)

Set2Box: Similarity Preserving Representation Learning for Sets. - Geon Lee; Chanyoung Park 001; Kijung Shin (ICDM, 2022)

Nonlinearity Encoding for Extrapolation of Neural Networks. - Gyoung S. Na; Chanyoung Park 001 (KDD, 2022)

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. - Junseok Lee 002; Yunhak Oh; Yeonjun In; Namkyeong Lee; Dongmin Hyun; Chanyoung Park 001 (SIGIR, 2022)

AHP: Learning to Negative Sample for Hyperedge Prediction. - Hyunjin Hwang; Seungwoo Lee; Chanyoung Park 001; Kijung Shin (SIGIR, 2022)

Shift-Robust Node Classification via Graph Adversarial Clustering. - Qi Zhu 008; Chao Zhang 014; Chanyoung Park 001; Carl Yang 001; Jiawei Han 001 (CoRR, 2022)

Self-supervised graph representation learning via positive mining. - Namkyeong Lee; Junseok Lee 002; Chanyoung Park 001 (Inf. Sci., 2022)

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. - Sein Kim; Namkyeong Lee; Junseok Lee 002; Dongmin Hyun; Chanyoung Park 001 (AAAI, 2023)

Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. - Kanghoon Yoon; Kibum Kim; Jinyoung Moon; Chanyoung Park 001 (AAAI, 2023)

Class Label-aware Graph Anomaly Detection. - Junghoon Kim; Yeonjun In; Kanghoon Yoon; Junmo Lee; Chanyoung Park 001 (CIKM, 2023)

S-Mixup: Structural Mixup for Graph Neural Networks. - Junghurn Kim; Sukwon Yun; Chanyoung Park 001 (CIKM, 2023)

MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. - Yunhak Oh; Sukwon Yun; Dongmin Hyun; Sein Kim; Chanyoung Park 001 (CIKM, 2023)

Conditional Graph Information Bottleneck for Molecular Relational Learning. - Namkyeong Lee; Dongmin Hyun; Gyoung S. Na; Sungwon Kim 002; Junseok Lee 002; Chanyoung Park 001 (ICML, 2023)

Similarity Preserving Adversarial Graph Contrastive Learning. - Yeonjun In; Kanghoon Yoon; Chanyoung Park 001 (KDD, 2023)

Task-Equivariant Graph Few-shot Learning. - Sungwon Kim 002; Junseok Lee 002; Namkyeong Lee; Wonjoong Kim; Seungyoon Choi; Chanyoung Park 001 (KDD, 2023)

Task Relation-aware Continual User Representation Learning. - Sein Kim; Namkyeong Lee; Donghyun Kim 007; Min-Chul Yang; Chanyoung Park 001 (KDD, 2023)

Shift-Robust Molecular Relational Learning with Causal Substructure. - Namkyeong Lee; Kanghoon Yoon; Gyoung S. Na; Sein Kim; Chanyoung Park 001 (KDD, 2023)

Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer. - Namkyeong Lee; Heewoong Noh; Sungwon Kim 002; Dongmin Hyun; Gyoung S. Na; Chanyoung Park 001 (NeurIPS, 2023)

Interpretable Prototype-based Graph Information Bottleneck. - Sangwoo Seo; Sungwon Kim 002; Chanyoung Park 001 (NeurIPS, 2023)

MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. - Kibum Kim; Dongmin Hyun; Sukwon Yun; Chanyoung Park 001 (SIGIR, 2023)

Predicting Density of States via Multi-modal Transformer. - Namkyeong Lee; Heewoong Noh; Sungwon Kim 002; Dongmin Hyun; Gyoung S. Na; Chanyoung Park 001 (CoRR, 2023)

Single-cell RNA-seq data imputation using Feature Propagation. - Sukwon Yun; Junseok Lee 002; Chanyoung Park 001 (CoRR, 2023)

LLM4SGG: Large Language Model for Weakly Supervised Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Jaehyeong Jeon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2023)

Stoichiometry Representation Learning with Polymorphic Crystal Structures. - Namkyeong Lee; Heewoong Noh; Gyoung S. Na; Tianfan Fu; Jimeng Sun 001; Chanyoung Park 001 (CoRR, 2023)

Sterling: Synergistic Representation Learning on Bipartite Graphs. - Baoyu Jing; Yuchen Yan; Kaize Ding; Chanyoung Park 001; Yada Zhu; Huan Liu 001; Hanghang Tong (AAAI, 2024)

Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. - Namkyeong Lee; Siddhartha Laghuvarapu; Chanyoung Park 001; Jimeng Sun 001 (CIKM, 2024)

Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. - Kanghoon Yoon; Yeonjun In; Namkyeong Lee; Kibum Kim; Chanyoung Park 001 (CIKM, 2024)

LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Jaehyeong Jeon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CVPR, 2024)

Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation. - Jaehyeong Jeon; Kibum Kim; Kanghoon Yoon; Chanyoung Park 001 (ECCV (68), 2024)

Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network. - Sukwon Yun; Jie Peng 002; Alexandro E. Trevino; Chanyoung Park 001; Tianlong Chen 001 (ECCV (55), 2024)

Adaptive Self-training Framework for Fine-grained Scene Graph Generation. - Kibum Kim; Kanghoon Yoon; Yeonjun In; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (ICLR, 2024)

Unsupervised Episode Generation for Graph Meta-learning. - Jihyeong Jung; Sangwoo Seo; Sungwon Kim 002; Chanyoung Park 001 (ICML, 2024)

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. - Sein Kim; Hongseok Kang; Seungyoon Choi; Donghyun Kim 007; Min-Chul Yang; Chanyoung Park 001 (KDD, 2024)

Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. - Sangwoo Seo; Sungwon Kim 002; Jihyeong Jung; Yoonho Lee 002; Chanyoung Park 001 (KDD, 2024)

Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge. - Heewoong Noh; Namkyeong Lee; Gyoung S. Na; Chanyoung Park 001 (NeurIPS, 2024)

DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning. - Seungyoon Choi; Wonjoong Kim; Sungwon Kim 002; Yeonjun In; Sein Kim; Chanyoung Park 001 (WWW, 2024)

Self-Guided Robust Graph Structure Refinement. - Yeonjun In; Kanghoon Yoon; Kibum Kim; Kijung Shin; Chanyoung Park 001 (WWW, 2024)

Single-cell RNA sequencing data imputation using bi-level feature propagation. - Junseok Lee 002; Sukwon Yun; Yeongmin Kim; Tianlong Chen 001; Manolis Kellis; Chanyoung Park 001 (Briefings Bioinform., 2024)

Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting. - Sanghyun Lee; Chanyoung Park 001 (CoRR, 2024)

Continual Traffic Forecasting via Mixture of Experts. - Sanghyun Lee; Chanyoung Park 001 (CoRR, 2024)

3D Interaction Geometric Pre-training for Molecular Relational Learning. - Namkyeong Lee; Yunhak Oh; Heewoong Noh; Gyoung S. Na; Minkai Xu; Hanchen Wang 002; Tianfan Fu; Chanyoung Park 001 (CoRR, 2024)

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. - Kanghoon Yoon; Kibum Kim; Jaehyung Jeon; Yeonjun In; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2024)

RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. - Kanghoon Yoon; Kibum Kim; Jaehyeong Jeon; Yeonjun In; Donghyun Kim; Chanyoung Park 001 (AAAI, 2025)

Subgraph Federated Learning for Local Generalization. - Sungwon Kim 002; Yoonho Lee 002; Yunhak Oh; Namkyeong Lee; Sukwon Yun; Junseok Lee 002; Sein Kim; Carl Yang 001; Chanyoung Park 001 (ICLR, 2025)

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. - Kibum Kim; Kanghoon Yoon; Yeonjun In; Jaehyeong Jeon; Jinyoung Moon; Donghyun Kim; Chanyoung Park 001 (ICLR, 2025)

Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning. - Gyoung S. Na; Chanyoung Park 001 (ICLR, 2025)

On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. - Hyeonsoo Jo; Hyunjin Hwang; Fanchen Bu; Soo Yong Lee; Chanyoung Park 001; Kijung Shin (KDD (1), 2025)

Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics. - Gyoung S. Na; Chanyoung Park 001 (KDD (1), 2025)

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. - Yeonjun In; Sungchul Kim; Ryan A. Rossi; Md. Mehrab Tanjim; Tong Yu 001; Ritwik Sinha; Chanyoung Park 001 (NAACL (Long Papers), 2025)

SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials. - Wonjoong Kim; Sangwu Park; Yeonjun In; Seokwon Han; Chanyoung Park 001 (NAACL (Findings), 2025)

Dynamic Time-aware Continual User Representation Learning. - Seungyoon Choi; Sein Kim; Hongseok Kang; Wonjoong Kim; Chanyoung Park 001 (SIGIR, 2025)

Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios. - Jiwan Kim; Hongseok Kang; Sein Kim; Kibum Kim; Chanyoung Park 001 (SIGIR, 2025)

Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. - Junghoon Kim; Junmo Lee; Yeonjun In; Kanghoon Yoon; Chanyoung Park 001 (WSDM, 2025)

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? - Sein Kim; Hongseok Kang; Kibum Kim; Jiwan Kim; Donghyun Kim 006; Minchul Yang; Kwangjin Oh; Julian J. McAuley; Chanyoung Park 001 (CoRR, 2025)

Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. - Yeonjun In; Wonjoong Kim; Kanghoon Yoon; Sungchul Kim; Md. Mehrab Tanjim; Kibum Kim; Chanyoung Park 001 (CoRR, 2025)

Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. - Kibum Kim; Kanghoon Yoon; Yeonjun In; Jaehyeong Jeon; Jinyoung Moon; Donghyun Kim 006; Chanyoung Park 001 (CoRR, 2025)

RAG-Enhanced Collaborative LLM Agents for Drug Discovery. - Namkyeong Lee; Edward De Brouwer; Ehsan Hajiramezanali; Chanyoung Park 001; Gabriele Scalia (CoRR, 2025)

Training Robust Graph Neural Networks by Modeling Noise Dependencies. - Yeonjun In; Kanghoon Yoon; Sukwon Yun; Kibum Kim; Sungchul Kim; Chanyoung Park 001 (CoRR, 2025)

Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems. - Kibum Kim; Sein Kim; Hongseok Kang; Jiwan Kim; Heewoong Noh; Yeonjun In; Kanghoon Yoon; Jinoh Oh; Chanyoung Park 001 (CoRR, 2025)

Disambiguation in Conversational Question Answering in the Era of LLM: A Survey. - 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 001 (CoRR, 2025)

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics. - Yunhak Oh; Junseok Lee 002; Yeongmin Kim; Sangwoo Seo; Namkyeong Lee; Chanyoung Park 001 (CoRR, 2025)

Target Circuit Matching in Large-Scale Netlists using GNN-Based Region Prediction. - Sangwoo Seo; Jimin Seo; Yoonho Lee 002; Donghyeon Kim; Hyejin Shin; Banghyun Sung; Chanyoung Park 001 (CoRR, 2025)

Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. - Sukwon Yun; Xin Liu; Yunhak Oh; Junseok Lee 002; Tianlong Chen 001; Tsuyoshi Murata; Chanyoung Park 001 (CoRR, 2025)