Xinrui Wang
14 papers · 2020–2026 · 8 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
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint 𧬠Topic Evolution
ποΈ
Keyword Collector
(75)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(10)
Learning Types Β· Deep Learning
(7)
Computer Vision
(6)
Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Generation
(5)
Core AI
(4)
Optimization & Theory
(4)
Models
(3)
Computer Science
(2)
Mathematics & Optimization
(2)
Applications
(2)
Optimization
(2)
Keywords
image generation
(3)
diffusion model
(3)
image synthesis
(2)
low-rank adaptation
(2)
sketch colorization
(2)
minimax optimization
(2)
adaptive learning rate
(2)
stochastic optimization
(2)
continual learning
(2)
pre-trained model
(2)
label noise
(2)
image translation
(2)
experience replay
(2)
noisy label learning
(1)
style transfer
(1)
stochastic gradient descent
(1)
k-means clustering
(1)
image restoration
(1)
catastrophic forgetting
(1)
representation learning
(1)
Papers
One-shot Portrait Stylizaiton via Geometric Alignment
WACV 2026
Towards High-resolution and Disentangled Reference-based Sketch Colorization
CVPR 2026
A Survey of Generative Information Extraction
COLING 2025
Cut out and Replay: A Simple yet Versatile Strategy for Multi-Label Online Continual Learning
ICML 2025
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
AISTATS 2025
Image Referenced Sketch Colorization Based on Animation Creation Workflow
CVPR 2025
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild Data
IJCAI 2025
SoftShadow: Leveraging Soft Masks for Penumbra-Aware Shadow Removal
CVPR 2025
Adaptive Federated Minimax Optimization with Lower Complexities
AISTATS 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
NeurIPS 2024
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
AAAI 2024
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
ICML 2022
Generating Manga From Illustrations via Mimicking Manga Creation Workflow
CVPR 2021
Learning to Cartoonize Using White-Box Cartoon Representations
CVPR 2020