Shu Hu
Computer Science · Purdue University West Lafayette
Publications
152
Citations
1,385
Est. group size
—
Recurring co-author estimate
Active years
41
Publishing since 1986
Shu Hu works on detecting AI-generated and manipulated media, especially fake or synthesized faces, images, and voices (often called 'deepfakes'), with particular attention to making detection methods fair across different demographic groups. Related work also touches on image-to-image translation, medical image segmentation, and applying reinforcement learning and large language models to these visual and multimodal tasks.
Publication output has grown substantially over the last decade, rising from essentially none in 2017 to a peak of 41 in 2024, with continued strong activity into 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- The Competition of Fairness in AI-generated Face Detection: Methods and Results
Machine Intelligence Research · 2026
- CrossDF: improving cross-domain deepfake detection with deep information decomposition
Frontiers in Big Data · 2025
- Spotting the Fakes: A Deep Dive into GAN-Generated Face Detection
ACM Transactions on Multimedia Computing Communications and Applications · 2025
- AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
2025
- U-MedSAM: Uncertainty-Aware MedSAM for Medical Image Segmentation
Lecture notes in computer science · 2025
- Improving Generalization for AI-Synthesized Voice Detection
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
- Towards Fairness with Limited Demographics via Disentangled Learning
2025
- MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models
2025
- Rethinking Individual Fairness in Deepfake Detection
2025
- Effects Of Dietary Pulsatilla Chinensis (Bunge) Regel On Mastacembelus Armatus Growth and Intestinal Health
SSRN Electronic Journal · 2025
- Effects of Dietary Pulsatilla Chinensis (Bunge) Regel on Mastacembelus Armatus Growth and Intestinal Health
SSRN Electronic Journal · 2025
- RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
2025
- Preserving AUC Fairness in Learning with Noisy Protected Groups
arXiv (Cornell University) · 2025
- RL-I2IT: Image-to-image translation with deep reinforcement learning
Neural Networks · 2025
- SCA-ZegCLIP: Shape- and Context-aware CLIP for Zero-shot Semantic Segmentation
2025
- arXiv (Cornell University)×43
- Lecture notes in computer science×3
- IEEE Access×2
- Neural Information Processing Systems×2
- Proceedings of the AAAI Conference on Artificial Intelligence×2
- Yue Han
Computer Science · Purdue University West Lafayette
- David I. Inouye
Computer Science · Purdue University West Lafayette
- Peizhong Ju
Computer Science · The Ohio State University
- Wonwoong Cho
Computer Science · Purdue University West Lafayette
- Raymond A. Yeh
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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