| 2026 | AAAI | RAG-Enhanced Collaborative LLM Agents for Drug Discovery. | Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia |
| 2026 | ACL | Reasoning Structure Matters for Safety Alignment of Reasoning Models. | Yeonjun In, Wonjoong Kim, Sangwu Park, Chanyoung Park |
| 2026 | CHI | When Fingers Become Tools: Rendering Virtual Tool Inertia with a Finger-Mounted Extending Rod. | Seongjun Kang, Gwangbin Kim, Bocheon Gim, Jeongju Park, Juwon Um, Semoo Shin, Chanyoung Park, SeungJun Kim |
| 2026 | ICS | FaaSlim: Partial Caching of Snapshot-based VMs for Serverless Computing. | Sanghyeon Eom, Chanyoung Park, Gihong Lee, Hyungon Moon, Young-ri Choi |
| 2026 | WWW | PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering. | Doyun Choi, Cheonwoo Lee, Biniyam Aschalew Tolera, Taewook Ham, Chanyoung Park, Jaemin Yoo |
| 2025 | AAAI | RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning. | Kanghoon Yoon, Kibum Kim, Jaehyeong Jeon, Yeonjun In, Donghyun Kim, Chanyoung Park |
| 2025 | ASPLOS | AnyKey: A Key-Value SSD for All Workload Types. | Chanyoung Park, Jungho Lee, Chun-Yi Liu, Kyungtae Kang, Mahmut Taylan Kandemir, Wonil Choi |
| 2025 | EMNLP | Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models. | Yeonjun In, Wonjoong Kim, Kanghoon Yoon, Sungchul Kim, Mehrab Tanjim, Sangwu Park, Kibum Kim, Chanyoung Park |
| 2025 | EMNLP | Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: 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 |
| 2025 | FAST | Selective On-Device Execution of Data-Dependent Read I/Os. | Chanyoung Park, Minu Chung, Hyungon Moon |
| 2025 | ICCAD | Target Circuit Matching in Large-Scale Netlists Using GNN-Based Region Prediction. | Sangwoo Seo, Jimin Seo, Yoonho Lee, Donghyeon Kim, Hyejin Shin, Banghyun Sung, Chanyoung Park |
| 2025 | ICLR | Subgraph Federated Learning for Local Generalization. | Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park |
| 2025 | ICLR | Weakly Supervised Video Scene Graph Generation via Natural Language Supervision. | Kibum Kim, Kanghoon Yoon, Yeonjun In, Jaehyeong Jeon, Jinyoung Moon, Donghyun Kim, Chanyoung Park |
| 2025 | ICLR | Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning. | Gyoung S. Na, Chanyoung Park |
| 2025 | ICML | Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks. | Sungwon Kim, Namkyeong Lee, Yunyoung Doh, Seungmin Shin, Guimok Cho, Seung-Won Jeon, Sangkook Kim, Chanyoung Park |
| 2025 | ICML | Global Context-aware Representation Learning for Spatially Resolved Transcriptomics. | Yunhak Oh, Junseok Lee, Yeongmin Kim, Sangwoo Seo, Namkyeong Lee, Chanyoung Park |
| 2025 | KDD | On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications. | Hyeonsoo Jo, Hyunjin Hwang, Fanchen Bu, Soo Yong Lee, Chanyoung Park, Kijung Shin |
| 2025 | KDD | Lost in Sequence: Do Large Language Models Understand Sequential Recommendation? | Sein Kim, Hongseok Kang, Kibum Kim, Jiwan Kim, Donghyun Kim, Minchul Yang, Kwangjin Oh, Julian J. McAuley, Chanyoung Park |
| 2025 | KDD | Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics. | Gyoung S. Na, Chanyoung Park |
| 2025 | KDD | Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features. | Sukwon Yun, Xin Liu, Yunhak Oh, Junseok Lee, Tianlong Chen, Tsuyoshi Murata, Chanyoung Park |
| 2025 | NAACL | Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. | Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park |
| 2025 | NAACL | SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials. | Wonjoong Kim, Sangwu Park, Yeonjun In, Seokwon Han, Chanyoung Park |
| 2025 | SIGIR | Dynamic Time-aware Continual User Representation Learning. | Seungyoon Choi, Sein Kim, Hongseok Kang, Wonjoong Kim, Chanyoung Park |
| 2025 | SIGIR | Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios. | Jiwan Kim, Hongseok Kang, Sein Kim, Kibum Kim, Chanyoung Park |
| 2025 | SP | SwiftSweeper: Defeating Use-After-Free Bugs Using Memory Sweeper Without Stop-the-World. | Junho Ahn, Kanghyuk Lee, Chanyoung Park, Hyungon Moon, Youngjin Kwon |
| 2025 | WSDM | Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness. | Junghoon Kim, Junmo Lee, Yeonjun In, Kanghoon Yoon, Chanyoung Park |
| 2024 | AAAI | Sterling: Synergistic Representation Learning on Bipartite Graphs. | Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong |
| 2024 | CIKM | Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models. | Namkyeong Lee, Siddhartha Laghuvarapu, Chanyoung Park, Jimeng Sun |
| 2024 | CIKM | Debiased Graph Poisoning Attack via Contrastive Surrogate Objective. | Kanghoon Yoon, Yeonjun In, Namkyeong Lee, Kibum Kim, Chanyoung Park |
| 2024 | CVPR | LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation. | Kibum Kim, Kanghoon Yoon, Jaehyeong Jeon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park |
| 2024 | DATE | An Autonomic Resource Allocating SSD. | Dongjoon Lee, Jongin Choe, Chanyoung Park, Kyungtae Kang, Mahmut T. Kandemir, Wonil Choi |
| 2024 | ECCV | Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation. | Jaehyeong Jeon, Kibum Kim, Kanghoon Yoon, Chanyoung Park |
| 2024 | ECCV | Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network. | Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen |
| 2024 | ICLR | Adaptive Self-training Framework for Fine-grained Scene Graph Generation. | Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park |
| 2024 | ICML | Unsupervised Episode Generation for Graph Meta-learning. | Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park |
| 2024 | KDD | Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System. | Sein Kim, Hongseok Kang, Seungyoon Choi, Donghyun Kim, Min-Chul Yang, Chanyoung Park |
| 2024 | KDD | Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck. | Sangwoo Seo, Sungwon Kim, Jihyeong Jung, Yoonho Lee, Chanyoung Park |
| 2024 | NDSS | Efficient Use-After-Free Prevention with Opportunistic Page-Level Sweeping. | Chanyoung Park, Hyungon Moon |
| 2024 | WWW | DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning. | Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park |
| 2024 | WWW | Self-Guided Robust Graph Structure Refinement. | Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park |
| 2023 | AAAI | Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis. | Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park |
| 2023 | AAAI | Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network. | Kanghoon Yoon, Kibum Kim, Jinyoung Moon, Chanyoung Park |
| 2023 | CIKM | Class Label-aware Graph Anomaly Detection. | Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park |
| 2023 | CIKM | S-Mixup: Structural Mixup for Graph Neural Networks. | Junghurn Kim, Sukwon Yun, Chanyoung Park |
| 2023 | CIKM | MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement. | Yunhak Oh, Sukwon Yun, Dongmin Hyun, Sein Kim, Chanyoung Park |
| 2023 | ICDCS | Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis. | Soohyun Park, Hao Feng, Won Joon Yun, Chanyoung Park, Youn Kyu Lee, Soyi Jung, Joongheon Kim |
| 2023 | ICDCS | Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. | Chanyoung Park, Haemin Lee, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim |
| 2023 | ICML | Conditional Graph Information Bottleneck for Molecular Relational Learning. | Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park |
| 2023 | KDD | Similarity Preserving Adversarial Graph Contrastive Learning. | Yeonjun In, Kanghoon Yoon, Chanyoung Park |
| 2023 | KDD | Task-Equivariant Graph Few-shot Learning. | Sungwon Kim, Junseok Lee, Namkyeong Lee, Wonjoong Kim, Seungyoon Choi, Chanyoung Park |
| 2023 | KDD | Task Relation-aware Continual User Representation Learning. | Sein Kim, Namkyeong Lee, Donghyun Kim, Min-Chul Yang, Chanyoung Park |
| 2023 | KDD | Shift-Robust Molecular Relational Learning with Causal Substructure. | Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park |
| 2023 | SIGIR | MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. | Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park |
| 2022 | AAAI | Augmentation-Free Self-Supervised Learning on Graphs. | Namkyeong Lee, Junseok Lee, Chanyoung Park |
| 2022 | CIKM | Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. | Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu |
| 2022 | CIKM | Relational Self-Supervised Learning on Graphs. | Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park |
| 2022 | CIKM | LTE4G: Long-Tail Experts for Graph Neural Networks. | Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park |
| 2022 | EMNLP | Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. | Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu |
| 2022 | ICDM | Set2Box: Similarity Preserving Representation Learning for Sets. | Geon Lee, Chanyoung Park, Kijung Shin |
| 2022 | KDD | Nonlinearity Encoding for Extrapolation of Neural Networks. | Gyoung S. Na, Chanyoung Park |
| 2022 | SIGIR | GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment. | Junseok Lee, Yunhak Oh, Yeonjun In, Namkyeong Lee, Dongmin Hyun, Chanyoung Park |
| 2022 | SIGIR | AHP: Learning to Negative Sample for Hyperedge Prediction. | Hyunjin Hwang, Seungwoo Lee, Chanyoung Park, Kijung Shin |
| 2021 | ICDM | Learnable Structural Semantic Readout for Graph Classification. | Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu |
| 2021 | WWW | HDMI: High-order Deep Multiplex Infomax. | Baoyu Jing, Chanyoung Park, Hanghang Tong |
| 2021 | SIGIR | Bootstrapping User and Item Representations for One-Class Collaborative Filtering. | Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu |
| 2020 | AAAI | Unsupervised Attributed Multiplex Network Embedding. | Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu |
| 2020 | ICDM | Interest Sustainability-Aware Recommender System. | Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu |
| 2020 | ICNP | Poster: Prototype of Configurable Redfish Query Proxy Module. | Chanyoung Park, Yoonsue Joe, Myounghwan Yoo, Dongeun Lee, Kyungtae Kang |
| 2020 | KDD | Unsupervised Differentiable Multi-aspect Network Embedding. | Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han |
| 2019 | CIKM | BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. | Seonghyeon Lee, Chanyoung Park, Hwanjo Yu |
| 2019 | CIKM | Task-Guided Pair Embedding in Heterogeneous Network. | Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu |
| 2019 | IJCAI | Sequential and Diverse Recommendation with Long Tail. | Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu |
| 2019 | IJCAI | Action Space Learning for Heterogeneous User Behavior Prediction. | Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu |
| 2018 | ICDM | Collaborative Translational Metric Learning. | Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu |
| 2018 | SIGIR | Review Sentiment-Guided Scalable Deep Recommender System. | Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu |
| 2017 | SMC | Measuring the eccentricity of items. | Chanyoung Park, Songkuk Kim |
| 2017 | WWW | Do "Also-Viewed" Products Help User Rating Prediction? | Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu |
| 2017 | SC | Multi-fidelity Surrogate Modeling for Application/Architecture Co-design. | Yiming Zhang, Aravind Neelakantan, Nalini Kumar, Chanyoung Park, Raphael T. Haftka, Nam H. Kim, Herman Lam |
| 2016 | OSDI | ROSS: A Design of Read-Oriented STT-MRAM Storage for Energy-Efficient Non-Uniform Cache Architecture. | Jie Zhang, Miryeong Kwon, Chanyoung Park, Myoungsoo Jung, Songkuk Kim |
| 2016 | RecSys | Convolutional Matrix Factorization for Document Context-Aware Recommendation. | Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu |
| 2016 | WWW | TRecSo: Enhancing Top-k Recommendation With Social Information. | Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu |
| 2015 | RecSys | Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. | Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu |