PPaperPicks

Kijung Shin

53 papers at tracked venues · 36 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-2872-1526 ↗Homepage ↗

Venues

ICDM ×7SIGKDD ×7WWW ×6AAAI ×5CIKM ×5ICML ×4NeurIPS ×4ICDE ×3SIGIR ×3ACL ×2CVPR ×1ECML-PKDD ×1EDBT ×1EMNLP ×1ICLR ×1RecSys ×1WSDM ×1

Frequent coauthors

Geon Lee
×19
Sunwoo Kim
×16
Soo Yong Lee
×11
Kyungho Kim
×11
Fanchen Bu
×11
Hyunjin Hwang
×6
Jaemin Yoo
×6
Taehyung Kwon
×5
Minyoung Choe
×5
Juyeon Kim
×4
Shinhwan Kang
×4
Jihoon Ko
×4

Papers

  1. Effective Dataset Distillation for Spatio-Temporal Forecasting with BI-Dimensional Compression
    ICDE 2026 ·
    Taehyung Kwon
    ,
    Yeonje Choi
    ,
    Yeongho Kim
    , Kijung Shin
  2. Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
    AAAI 2026 ·
    Sunwoo Kim
    ,
    Soo Yong Lee
    ,
    Kyungho Kim
    ,
    Hyunjin Hwang
    ,
    Jaemin Yoo
    , Kijung Shin
  3. From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
    SIGIR 2026 ·
    Jeeho Shin
    ,
    Kyungho Kim
    , Kijung Shin
  4. Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
    ACL 2026 ·
    Juyeon Kim
    ,
    Geon Lee
    ,
    Dongwon Choi
    ,
    Taeuk Kim
    , Kijung Shin
  5. ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
    SIGIR 2026 ·
    Sunwoo Kim
    ,
    Geon Lee
    ,
    Kyungho Kim
    ,
    Jaemin Yoo
    , Kijung Shin
  6. Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation
    WWW 2026 ·
    Sunwoo Kim
    ,
    Hyunjin Hwang
    , Kijung Shin
  7. Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs
    ACL 2026 ·
    Kyungho Kim
    ,
    Yeonje Choi
    ,
    Gyurim Hwang
    ,
    Sejin Chung
    ,
    Hongseok Lee
    ,
    Myeong Ho Song
    ,
    Yeongho Kim
    ,
    Sunwoo Kim
    ,
    Jongha Lee
    ,
    Juyeon Kim
    , Kijung Shin
  8. ReFuGe: Feature Generation for Prediction Tasks on Relational Databases with LLM Agents
    WWW 2026 ·
    Kyungho Kim
    ,
    Geon Lee
    ,
    Juyeon Kim
    ,
    Dongwon Choi
    ,
    Shinhwan Kang
    , Kijung Shin
  9. Sequential Data Augmentation for Generative Recommendation
    WSDM 2026 ·
    Geon Lee
    ,
    Bhuvesh Kumar
    ,
    Mingxuan Ju
    ,
    Tong Zhao
    , Kijung Shin,
    Neil Shah
    ,
    Liam Collins
  10. 'Hello, World!': Making GNNs Talk with LLMs
    EMNLP 2025 ·
    Sunwoo Kim
    ,
    Soo Yong Lee
    ,
    Jaemin Yoo
    , Kijung Shin
  11. A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
    CIKM 2025 ·
    Kyungho Kim
    ,
    Sunwoo Kim
    ,
    Geon Lee
    , Kijung Shin
  12. A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
    CIKM 2025 ·
    Sunwoo Kim
    ,
    Soo Yong Lee
    ,
    Yue Gao
    ,
    Alessia Antelmi
    ,
    Mirko Polato
    , Kijung Shin
  13. Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes
    ICDM 2025 ·
    Jaewan Chun
    ,
    Seokbum Yoon
    ,
    Minyoung Choe
    ,
    Geon Lee
    , Kijung Shin
  14. Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization
    WWW 2025 ·
    Yeongho Kim
    ,
    Yuyeong Kim
    ,
    Geon Lee
    , Kijung Shin
  15. DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
    AAAI 2025 ·
    Junghun Lee
    ,
    Hyunju Kim
    ,
    Fanchen Bu
    ,
    Jihoon Ko
    , Kijung Shin
  16. Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms
    ICDM 2025 ·
    Fanchen Bu
    ,
    Ruochen Yang
    ,
    Paul Bogdan
    , Kijung Shin
  17. HyperSearch: Prediction of New Hyperedges Through Unconstrained yet Efficient Search
    ICDM 2025 ·
    Hyunjin Choo
    ,
    Fanchen Bu
    ,
    Hyunjin Hwang
    ,
    Young-Gyu Yoon
    , Kijung Shin
  18. Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity
    ICDM 2025 ·
    Fanchen Bu
    ,
    Geon Lee
    , Kijung Shin,
    Minyoung Choe
  19. KGMEL: Knowledge Graph-Enhanced Multimodal Entity Linking
    SIGIR 2025 ·
    Juyeon Kim
    ,
    Geon Lee
    ,
    Taeuk Kim
    , Kijung Shin
  20. Kronecker Generative Models for Power-Law Patterns in Real-World Hypergraphs
    WWW 2025 ·
    Minyoung Choe
    ,
    Jihoon Ko
    ,
    Taehyung Kwon
    , Kijung Shin,
    Christos Faloutsos
  21. Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
    NeurIPS 2025 ·
    Sunwoo Kim
    ,
    Hyunjin Hwang
    , Kijung Shin
  22. MARIOH: Multiplicity-Aware Hypergraph Reconstruction
    ICDE 2025 ·
    Kyuhan Lee
    ,
    Geon Lee
    , Kijung Shin
  23. Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
    ICML 2025 ·
    Langzhang Liang
    ,
    Fanchen Bu
    ,
    Zixing Song
    ,
    Zenglin Xu
    ,
    Shirui Pan
    , Kijung Shin
  24. On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
    SIGKDD 2025 ·
    Hyeonsoo Jo
    ,
    Hyunjin Hwang
    ,
    Fanchen Bu
    ,
    Soo Yong Lee
    ,
    Chanyoung Park
    , Kijung Shin
  25. Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
    CIKM 2025 ·
    Meeyoung Cha
    ,
    Chanyoung Park
    ,
    Noseong Park
    ,
    Carl Yang
    ,
    Senjuti Basu Roy
    ,
    Jessie Li
    ,
    Jaap Kamps
    , Kijung Shin,
    Bryan Hooi
    ,
    Lifang He
  26. RASP: Robust Mining of Frequent Temporal Sequential Patterns under Temporal Variations
    EDBT 2025 ·
    Hyunjin Choo
    ,
    Minho Eom
    ,
    Gyuri Kim
    ,
    Young-Gyu Yoon
    , Kijung Shin
  27. RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases
    NeurIPS 2025 ·
    Dongwon Choi
    ,
    Sunwoo Kim
    ,
    Juyeon Kim
    ,
    Kyungho Kim
    ,
    Geon Lee
    ,
    Shinhwan Kang
    ,
    Myunghwan Kim
    , Kijung Shin
  28. RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
    SIGKDD 2025 ·
    Federico Berto
    ,
    Chuanbo Hua
    ,
    Junyoung Park
    ,
    Laurin Luttmann
    ,
    Yining Ma
    ,
    Fanchen Bu
    ,
    Jiarui Wang
    ,
    Haoran Ye
    ,
    Minsu Kim
    ,
    Sanghyeok Choi
    ,
    Nayeli Gast Zepeda
    ,
    André Hottung
    ,
    Jianan Zhou
    ,
    Jieyi Bi
    ,
    Yu Hu
    ,
    Fei Liu
    ,
    Hyeonah Kim
    ,
    Jiwoo Son
    ,
    Haeyeon Kim
    ,
    Davide Angioni
    ,
    Wouter Kool
    ,
    Zhiguang Cao
    ,
    Qingfu Zhang
    ,
    Joungho Kim
    ,
    Jie Zhang
    , Kijung Shin,
    Cathy Wu
    ,
    Sungsoo Ahn
    ,
    Guojie Song
    ,
    Changhyun Kwon
    ,
    Kevin Tierney
    ,
    Lin Xie
    ,
    Jinkyoo Park
  29. Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
    ICDE 2025 ·
    Jongha Lee
    ,
    Taehyung Kwon
    ,
    Heechan Moon
    , Kijung Shin
  30. SkySearch: Satellite Video Search at Scale
    SIGKDD 2025 ·
    Minyoung Choe
    ,
    Geon Lee
    ,
    Changhun Han
    ,
    Suji Kim
    ,
    Woong Hu
    ,
    Hyebeen Hwang
    ,
    Geunseok Park
    ,
    Byeongyeon Kim
    ,
    Hyesook Lee
    ,
    Ha-Myung Park
    , Kijung Shin
  31. TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
    AAAI 2025 ·
    Geon Lee
    ,
    Wenchao Yu
    , Kijung Shin,
    Wei Cheng
    ,
    Haifeng Chen
  32. TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
    NeurIPS 2025 ·
    Yushan Jiang
    ,
    Wenchao Yu
    ,
    Geon Lee
    ,
    Dongjin Song
    , Kijung Shin,
    Wei Cheng
    ,
    Yanchi Liu
    ,
    Haifeng Chen
  33. A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
    SIGKDD 2024 ·
    Sunwoo Kim
    ,
    Soo Yong Lee
    ,
    Yue Gao
    ,
    Alessia Antelmi
    ,
    Mirko Polato
    , Kijung Shin
  34. Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors
    SIGKDD 2024 ·
    Taehyung Kwon
    ,
    Jihoon Ko
    ,
    Jinhong Jung
    ,
    Jun-Gi Jang
    , Kijung Shin
  35. ELiCiT: Effective and Lightweight Lossy Compression of Tensors
    ICDM 2024 ·
    Jihoon Ko
    ,
    Taehyung Kwon
    ,
    Jinhong Jung
    , Kijung Shin
  36. Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
    ICML 2024 ·
    Soo Yong Lee
    ,
    Sunwoo Kim
    ,
    Fanchen Bu
    ,
    Jaemin Yoo
    ,
    Jiliang Tang
    , Kijung Shin
  37. FlowerFormer: Empowering Neural Architecture Encoding Using a Flow-Aware Graph Transformer
    CVPR 2024 ·
    Dongyeong Hwang
    ,
    Hyunju Kim
    ,
    Sunwoo Kim
    , Kijung Shin
  38. Graphlets over Time: A New Lens for Temporal Network Analysis
    ECML-PKDD 2024 ·
    Deukyeol Yoon
    ,
    Dongjin Lee
    ,
    Minyoung Choe
    , Kijung Shin
  39. HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
    ICLR 2024 ·
    Sunwoo Kim
    ,
    Shinhwan Kang
    ,
    Fanchen Bu
    ,
    Soo Yong Lee
    ,
    Jaemin Yoo
    , Kijung Shin
  40. Post-Training Embedding Enhancement for Long-Tail Recommendation
    CIKM 2024 ·
    Geon Lee
    ,
    Kyungho Kim
    , Kijung Shin
  41. Prediction Is NOT Classification: On Formulation and Evaluation of Hyperedge Prediction
    ICDM 2024 ·
    Taehyung Yu
    ,
    Soo Yong Lee
    ,
    Hyunjin Hwang
    , Kijung Shin
  42. Resource2Box: Learning To Rank Resources in Distributed Search Using Box Embedding
    ICDM 2024 ·
    Ulugbek Ergashev
    ,
    Geon Lee
    , Kijung Shin,
    Eduard C. Dragut
    ,
    Weiyi Meng
  43. Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
    NeurIPS 2024 ·
    Sunwoo Kim
    ,
    Soo Yong Lee
    ,
    Fanchen Bu
    ,
    Shinhwan Kang
    ,
    Kyungho Kim
    ,
    Jaemin Yoo
    , Kijung Shin
  44. Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation
    RecSys 2024 ·
    Geon Lee
    ,
    Kyungho Kim
    , Kijung Shin
  45. SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
    SIGKDD 2024 ·
    Jongha Lee
    ,
    Sunwoo Kim
    , Kijung Shin
  46. Self-Guided Robust Graph Structure Refinement
    WWW 2024 ·
    Yeonjun In
    ,
    Kanghoon Yoon
    ,
    Kibum Kim
    , Kijung Shin,
    Chanyoung Park
  47. Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs
    ICML 2024 ·
    Langzhang Liang
    ,
    Sunwoo Kim
    , Kijung Shin,
    Zenglin Xu
    ,
    Shirui Pan
    ,
    Yuan Qi
  48. Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
    AAAI 2024 ·
    Dongjin Lee
    ,
    Juho Lee
    , Kijung Shin
  49. Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
    ICML 2024 ·
    Fanchen Bu
    ,
    Hyeonsoo Jo
    ,
    Soo Yong Lee
    ,
    Sungsoo Ahn
    , Kijung Shin
  50. Towards Better Utilization of Multiple Views for Bundle Recommendation
    CIKM 2024 ·
    Kyungho Kim
    ,
    Sunwoo Kim
    ,
    Geon Lee
    , Kijung Shin
  51. Unsupervised Alignment of Hypergraphs with Different Scales
    SIGKDD 2024 ·
    Manh Tuan Do
    , Kijung Shin
  52. VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation
    AAAI 2024 ·
    Taeri Kim
    ,
    Jiho Heo
    ,
    Hongil Kim
    , Kijung Shin,
    Sang-Wook Kim
  53. VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation
    WWW 2024 ·
    Geon Lee
    ,
    Soo Yong Lee
    , Kijung Shin