Yaxin Li
15 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (40)
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Research topics
Machine Learning
(12)
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Application Areas
(6)
Architectures
(6)
Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Applications
(2)
Core Methods
(2)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Keywords
spiking neural network
(5)
adversarial example
(2)
adversarial robustness
(2)
adversarial attack
(2)
knowledge distillation
(2)
semi-supervised learning
(1)
robust optimization
(1)
reinforcement learning
(1)
sparse coding
(1)
computer vision
(1)
curriculum learning
(1)
model robustness
(1)
mathematical reasoning
(1)
attention mechanism
(1)
catastrophic forgetting
(1)
relation extraction
(1)
image generation
(1)
fact verification
(1)
document-level extraction
(1)
knowledge transfer
(1)
Papers
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
AAAI 2026
Spatial-Frequency Spiking Neural Network for Underwater Object Detection
AAAI 2026
Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention
COLING 2025
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
EMNLP 2025
Exploring Memorization in Fine-tuned Language Models
ACL 2024
Neural Style Protection: Counteracting Unauthorized Neural Style Transfer
WACV 2024
Towards efficient deep spiking neural networks construction with spiking activity based pruning
ICML 2024
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
ECCV 2024
Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
CVPR 2023
Document-level Relationship Extraction by Bidirectional Constraints of Beta Rules
EMNLP 2023
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks
NeurIPS 2023
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
NeurIPS 2023
DeepRobust: a Platform for Adversarial Attacks and Defenses
AAAI 2021
Elastic Graph Neural Networks
ICML 2021
To be Robust or to be Fair: Towards Fairness in Adversarial Training
ICML 2021