Xixun Lin
11 papers · 2024–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (23) π§ Keyword Pioneer
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Cross-Pollinator
(15)
Conferences
ACL (4)
AAAI (3)
ICML (3)
EMNLP (1)
Top co-authors
Keywords
large language model
(4)
graph neural network
(2)
contrastive learning
(1)
link prediction
(1)
adversarial robustness
(1)
conformal prediction
(1)
self-supervised learning
(1)
black-box attack
(1)
machine-generated text detection
(1)
knowledge graph reasoning
(1)
instruction tuning
(1)
graph embedding
(1)
false positive rate
(1)
riemannian manifold
(1)
knowledge graph
(1)
graph anomaly detection
(1)
node embedding
(1)
energy-based model
(1)
out-of-distribution detection
(1)
zero-shot learning
(1)
Papers
Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
ACL 2026
PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models
AAAI 2026
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
EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment
ACL 2026
Conformal Anomaly Detection in Event Sequences
ICML 2025
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction
ACL 2025
Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
EMNLP 2025
UniFORM: Towards Unified Framework for Anomaly Detection on Graphs
AAAI 2025
Neural Jump-Diffusion Temporal Point Processes
ICML 2024
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
ICML 2024