Xiang Song
14 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(8)
🏆
Grand Slam
🗃️
Keyword Collector
(51)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(14)
⚡
Prolific Year
(5)
Conferences
ICLR (4)
AAAI (3)
CVPR (2)
AACL (1)
EMNLP (1)
ICML (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
continual learning
(5)
catastrophic forgetting
(3)
domain adaptation
(2)
knowledge graph
(2)
domain incremental learning
(2)
graph neural network
(2)
question answering
(1)
neural network optimization
(1)
attention mechanism
(1)
prompt learning
(1)
adversarial perturbation
(1)
laplace approximation
(1)
message passing
(1)
graph embedding
(1)
document retrieval
(1)
weight initialization
(1)
diffusion model
(1)
class-incremental learning
(1)
generative model
(1)
multi-label classification
(1)
Papers
GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models
EMNLP 2025
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
AAAI 2025
AutoG: Towards automatic graph construction from tabular data
ICLR 2025
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
ICLR 2025
Spectro-Riemannian Graph Neural Networks
ICLR 2025
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You Need
CVPR 2025
Learning Endogenous Attention for Incremental Object Detection
CVPR 2025
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning
WACV 2024
Evolving Parameterized Prompt Memory for Continual Learning
AAAI 2024
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias
AAAI 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information
ICLR 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models
NIPS 2024
On the Initialization of Graph Neural Networks
ICML 2023
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature
AACL 2020