Xiaoyong Yuan
8 papers · 2019–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird
π
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Application Areas
(4)
Core AI
(4)
Optimization & Theory Β· Machine Learning
(3)
Computer Vision
(2)
Deep Learning
(2)
Domain-Specific
(2)
Learning Types
(2)
Optimization & Theory Β· Deep Learning
(2)
Techniques
(2)
Natural Language Processing
(1)
Analysis
(1)
Learning Paradigms
(1)
Resources & Methods
(1)
Keywords
backdoor attack
(3)
retrieval-augmented generation
(2)
adversarial attack
(2)
neural network optimization
(2)
adversarial learning
(1)
neural network training
(1)
federated learning
(1)
batch normalization
(1)
neural network pruning
(1)
autonomous driving
(1)
3d vision
(1)
sharpness-aware minimization
(1)
object detection
(1)
loss landscape
(1)
3d object detection
(1)
risk management
(1)
convergence acceleration
(1)
deep neural network
(1)
collaborative inference
(1)
model compression
(1)
Papers
Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning
WACV 2026
MOBA: A Material-Oriented Backdoor Attack Against LiDAR-Based 3D Object Detection Systems
AAAI 2026
AIP: Subverting Retrieval-Augmented Generation via Adversarial Instructional Prompt
EMNLP 2025
Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
EMNLP 2025
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
NeurIPS 2024
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection
IJCAI 2024
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks
WACV 2024
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
AAAI 2019