Sein Kim

Orcid: 0009-0009-9088-9491

According to our database1, Sein Kim authored at least 12 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
Image is All You Need: Towards Efficient and Effective Large Language Model-Based Recommender Systems.
CoRR, March, 2025

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
CoRR, February, 2025

Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Dynamic Time-aware Continual User Representation Learning.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Subgraph Federated Learning for Local Generalization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning.
Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Shift-Robust Molecular Relational Learning with Causal Substructure.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Task Relation-aware Continual User Representation Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reinforcement Learning Framework to Simulate Short-Term Learning Effects of Human Psychophysical Experiments Assessing the Quality of Artificial Vision.
Proceedings of the International Joint Conference on Neural Networks, 2023

MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023


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