PPaperPicks

Xixun Lin

21 papers at tracked venues · 17 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts
  2. CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
  3. Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion
  4. Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
  5. EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment
  6. Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction
  7. MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues
  8. PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
  9. Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning
  10. Conformal Anomaly Detection in Event Sequences
  11. Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation
    WWW 2025 · Xixun Lin
  12. Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
  13. Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs
  14. FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation
  15. RANA: Robust Active Learning for Noisy Network Alignment
  16. Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
  17. TTGL: Large-scale Multi-scenario Universal Graph Learning at TikTok
  18. UniFORM: Towards Unified Framework for Anomaly Detection on Graphs
  19. CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization
  20. Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
    ICML 2024 · Xixun Lin
  21. Neural Jump-Diffusion Temporal Point Processes