Xiang Song
14 papers · 2020–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(3)
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(67)
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(8)
Learning Types
(7)
Artificial Intelligence
(5)
Application Areas
(5)
Architectures
(5)
Core AI
(4)
Core Methods
(4)
Computer Vision
(3)
Knowledge & Reasoning
(2)
Natural Language Processing
(2)
Analysis
(2)
Applications
(2)
Optimization & Theory
(2)
Representation
(2)
Keywords
continual learning
(5)
graph neural network
(4)
catastrophic forgetting
(3)
domain incremental learning
(3)
domain adaptation
(2)
link prediction
(2)
knowledge graph
(2)
large language model
(2)
class-incremental learning
(2)
attention mechanism
(1)
neural network optimization
(1)
prompt learning
(1)
graph construction
(1)
laplace approximation
(1)
object detection
(1)
document retrieval
(1)
spectral filtering
(1)
riemannian manifold
(1)
graph embedding
(1)
message passing
(1)
Papers
AutoG: Towards automatic graph construction from tabular data
ICLR 2025
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
CVPR 2025
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
AAAI 2025
GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models
EMNLP 2025
Learning Endogenous Attention for Incremental Object Detection
CVPR 2025
Spectro-Riemannian Graph Neural Networks
ICLR 2025
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
ICLR 2025
Evolving Parameterized Prompt Memory for Continual Learning
AAAI 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information
ICLR 2024
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias
AAAI 2024
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning
WACV 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
NeurIPS 2024
On the Initialization of Graph Neural Networks
ICML 2023
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature
AACL 2020