Xixun Lin
11 papers · 2024–2026 · 4 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Bronze π Renaissance Researcher (5) π Century Club Β· Bronze
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Research topics
Artificial Intelligence
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Optimization & Theory
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Natural Language Processing
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Keywords
large language model
(4)
graph neural network
(2)
false positive rate
(2)
contrastive learning
(1)
adversarial robustness
(1)
conformal prediction
(1)
link prediction
(1)
graph anomaly detection
(1)
self-supervised learning
(1)
machine-generated text detection
(1)
knowledge graph reasoning
(1)
instruction tuning
(1)
graph embedding
(1)
time-rescaling theorem
(1)
hawkes processes
(1)
epistemic uncertainty
(1)
riemannian manifold
(1)
knowledge graph
(1)
black-box attack
(1)
zero-shot learning
(1)
Papers
Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts
AAAI 2026
CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
ACL 2026
Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
ACL 2026
EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment
ACL 2026
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
AAAI 2026
Conformal Anomaly Detection in Event Sequences
ICML 2025
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
EMNLP 2025
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
ACL 2025
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs
AAAI 2025
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
ICML 2024
Neural Jump-Diffusion Temporal Point Processes
ICML 2024