PPaperPicks

Chanyoung Park

KAIST, Daejeon, South Korea

37 papers at tracked venues · 27 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. PULSE: Socially-Aware User Representation Modeling Toward Parameter-Efficient Graph Collaborative Filtering
  2. RAG-Enhanced Collaborative LLM Agents for Drug Discovery
  3. Reasoning Structure Matters for Safety Alignment of Reasoning Models
  4. 3D Interaction Geometric Pre-training for Molecular Relational Learning
  5. Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
  6. Disentangling Hyperedges through the Lens of Category Theory
  7. Disentangling and Generating Modalities for Recommendation in Missing Modality Scenarios
  8. Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
  9. Dynamic Time-aware Continual User Representation Learning
  10. Electron-Informed Coarse-Graining Molecular Representation Learning for Real-World Molecular Physics
  11. Global Context-aware Representation Learning for Spatially Resolved Transcriptomics
  12. Is Safety Standard Same for Everyone? User-Specific Safety Evaluation of Large Language Models
  13. Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
  14. Oldie but Goodie: Re-illuminating Label Propagation on Graphs with Partially Observed Features
  15. On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications
  16. Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
  17. RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning
  18. Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness
  19. SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
  20. Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
  21. Subgraph Federated Learning for Local Generalization
  22. Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
  23. Training Robust Graph Neural Networks by Modeling Noise Dependencies
  24. Weakly Supervised Video Scene Graph Generation via Natural Language Supervision
  25. Adaptive Self-training Framework for Fine-grained Scene Graph Generation
  26. DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning
  27. Debiased Graph Poisoning Attack via Contrastive Surrogate Objective
  28. LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation
  29. Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
  30. Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network
  31. Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
  32. Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck
  33. Self-Guided Robust Graph Structure Refinement
  34. Semantic Diversity-Aware Prototype-Based Learning for Unbiased Scene Graph Generation
  35. Sterling: Synergistic Representation Learning on Bipartite Graphs
  36. Unsupervised Episode Generation for Graph Meta-learning
  37. Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Models