Xilin He
12 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (68)
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Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Computer Vision
(7)
Analysis
(6)
Learning Types · Machine Learning
(6)
Models
(5)
Artificial Intelligence
(4)
Application Areas
(4)
Core AI
(4)
Learning Types · Deep Learning
(4)
Techniques
(3)
Generation
(2)
Processing
(2)
Interdisciplinary
(1)
Architectures
(1)
Keywords
diffusion model
(3)
domain generalization
(3)
adversarial robustness
(2)
adversarial training
(2)
data augmentation
(2)
generative model
(2)
neural network
(2)
gradient-based optimization
(1)
autoregressive generation
(1)
adversarial learning
(1)
visual concept
(1)
personalized generation
(1)
text-to-image generation
(1)
synthetic data generation
(1)
offline learning
(1)
text-to-image synthesis
(1)
affective computing
(1)
image inpainting
(1)
reinforcement learning from human feedback
(1)
attention mechanism
(1)
Papers
StyleDoctor: Towards Specialist Reward Model for Style-centric Generation Tasks
CVPR 2026
CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing
AAAI 2025
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
WACV 2025
MSAmba: Exploring Multimodal Sentiment Analysis with State Space Models
AAAI 2025
PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation
AAAI 2025
Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
ICML 2025
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
ICCV 2025
Towards Robust Training via Gradient-Diversified Backpropagation
WACV 2025
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
AAAI 2024
MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise
ECCV 2024
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
NeurIPS 2024
Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition
ICCV 2023