Shu Hu
18 papers · 2020–2026 · 11 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 ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(12)
π
Keyword Champion
(4)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(93)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(9)
Artificial Intelligence
(7)
Deep Learning
(7)
Application Areas
(7)
Core AI
(7)
Core Methods
(7)
Computer Vision
(6)
Learning Types Β· Deep Learning
(5)
Optimization & Theory
(5)
Analysis
(4)
Healthcare & Medicine
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Clinical
(2)
Keywords
demographic bia
(4)
deepfake detection
(4)
bias mitigation
(3)
distributionally robust optimization
(2)
binary classification
(2)
convex optimization
(2)
algorithmic fairness
(2)
loss function
(2)
disentanglement learning
(2)
reinforcement learning
(2)
multi-label classification
(2)
multi-label learning
(2)
game theory
(1)
adversarial learning
(1)
domain generalization
(1)
stochastic gradient descent
(1)
deep reinforcement learning
(1)
robust classification
(1)
image generation
(1)
fairness
(1)
Papers
Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection
CVPR 2026
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
CVPR 2025
Improving Generalization for AI-Synthesized Voice Detection
AAAI 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
ICML 2025
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
IJCAI 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
Fairness in Survival Analysis with Distributionally Robust Optimization
JMLR 2024
Improving Fairness in Deepfake Detection
WACV 2024
Preserving Fairness Generalization in Deepfake Detection
CVPR 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
MICCAI 2024
Controlling Neural Style Transfer with Deep Reinforcement Learning
IJCAI 2023
Outlier Robust Adversarial Training
ACML 2023
Differentially private SGDA for minimax problems
UAI 2022
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
AAAI 2022
Sum of Ranked Range Loss for Supervised Learning
JMLR 2022
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning
ICCV 2021
Learning by Minimizing the Sum of Ranked Range
NeurIPS 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data
NeurIPS 2020