Xun Liang
20 papers · 2021–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (5) π£ Hot Topic Early Bird
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Conference Polyglot
(3)
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(108)
π
Century Club
(14)
π₯
Unstoppable
(5)
β‘
Prolific Year
(5)
Conferences
AAAI (16)
ACL (3)
COLING (1)
Top co-authors
Keywords
large language model
(5)
knowledge graph embedding
(2)
graph convolutional network
(2)
capsule network
(2)
retrieval-augmented generation
(2)
few-shot learning
(2)
domain adaptation
(1)
domain generalization
(1)
contrastive learning
(1)
graph anomaly detection
(1)
prototype learning
(1)
visual question answering
(1)
direct preference optimization
(1)
self-supervised learning
(1)
cross-modal retrieval
(1)
embedding learning
(1)
depth estimation
(1)
text generation
(1)
uncertainty quantification
(1)
data augmentation
(1)
Papers
Safe RAG by RAG: Untying the Bell That RAG Rang with the RAG Hand
AAAI 2026
Enhancing Spatial Reasoning Through Visual and Textual Thinking
AAAI 2026
FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making
AAAI 2026
From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy
AAAI 2026
FAMDR: Feature-Aligned Multimodal Denoising for Reliable Diagnostic Reconciliation in Medical Imaging
AAAI 2026
SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models
AAAI 2026
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
AAAI 2025
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
ACL 2025
Integrating Large Language Models and MΓΆbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere
AAAI 2025
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
ACL 2024
When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract)
AAAI 2024
Graph Anomaly Detection via Prototype-Aware Label Propagation (Student Abstract)
AAAI 2024
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
AAAI 2024
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
ACL 2024
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract)
AAAI 2023
Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract)
AAAI 2023
Eureka: Neural Insight Learning for Knowledge Graph Reasoning
COLING 2022
Capsule Graph Neural Network for Multi-Label Image Recognition (Student Abstract)
AAAI 2022
RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract)
AAAI 2021
Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract)
AAAI 2021