Shu Hu
17 papers · 2020–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (11) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(11)
🏃
Academic Marathon
(5)
🌈
Renaissance Researcher
(6)
🤝
Dynamic Duo
(12)
🔥
Unstoppable
(6)
💎
Century Club
(17)
🚀
Conference Pioneer
🗃️
Keyword Collector
(78)
⚡
Prolific Year
(5)
Conferences
IJCAI (3)
AAAI (2)
CVPR (2)
JMLR (2)
NIPS (2)
ACML (1)
ICCV (1)
ICML (1)
MICCAI (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
deepfake detection
(3)
bias mitigation
(3)
demographic bia
(3)
multi-label classification
(2)
multi-label learning
(2)
convex optimization
(2)
algorithmic fairness
(2)
disentanglement learning
(2)
loss function
(2)
adversarial learning
(1)
game theory
(1)
stochastic gradient descent
(1)
deep reinforcement learning
(1)
uncertainty quantification
(1)
binary classification
(1)
domain generalization
(1)
reinforcement learning
(1)
adversarial training
(1)
supervised learning
(1)
robust classification
(1)
Papers
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
IJCAI 2025
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
CVPR 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
Improving Generalization for AI-Synthesized Voice Detection
AAAI 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
ICML 2025
Improving Fairness in Deepfake Detection
WACV 2024
Preserving Fairness Generalization in Deepfake Detection
CVPR 2024
Fairness in Survival Analysis with Distributionally Robust Optimization
JMLR 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
Sum of Ranked Range Loss for Supervised Learning
JMLR 2022
Differentially private SGDA for minimax problems
UAI 2022
Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
AAAI 2022
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning
ICCV 2021
Learning by Minimizing the Sum of Ranked Range
NIPS 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data
NIPS 2020