Shu Hu

Orcid: 0000-0003-1446-4140

Affiliations:
  • Purdue University, Department of Computer and Information Technology, ndianapolis, IN, USA
  • Carnegie Mellon University, Heinz College, Pittsburgh, PA, USA (2022 - 2023)
  • University at Buffalo, State University of New York, Department of Computer Science and Engineering, Buffalo, NY, USA (PhD 2022)
  • University at Albany, State University of New York, Albany, NY, USA


According to our database1, Shu Hu authored at least 44 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection.
CoRR, 2024

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark.
CoRR, 2024

Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images.
CoRR, 2024

Robust Light-Weight Facial Affective Behavior Recognition with CLIP.
CoRR, 2024

Robust COVID-19 Detection in CT Images with CLIP.
CoRR, 2024

Neural Radiance Fields in Medical Imaging: Challenges and Next Steps.
CoRR, 2024

Preserving Fairness Generalization in Deepfake Detection.
CoRR, 2024

Uncertainty-Aware Explainable Recommendation with Large Language Models.
CoRR, 2024

Masked Conditional Diffusion Model for Enhancing Deepfake Detection.
CoRR, 2024

Detecting Multimedia Generated by Large AI Models: A Survey.
CoRR, 2024

Efficient Image Super-Resolution via Symmetric Visual Attention Network.
CoRR, 2024

Improving Fairness in Deepfake Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Synthesizing Black-Box Anti-Forensics Deepfakes With High Visual Quality.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Rank-Based Decomposable Losses in Machine Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields.
CoRR, 2023

X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection.
CoRR, 2023

Improving Cross-dataset Deepfake Detection with Deep Information Decomposition.
CoRR, 2023

Deep Reinforcement Learning for Image-to-Image Translation.
CoRR, 2023

Attacking Important Pixels for Anchor-free Detectors.
CoRR, 2023

Attention Guided Policy Optimization for 3D Medical Image Registration.
IEEE Access, 2023

Attacking Identity Semantics in DeepFakes via Deep Feature Fusion.
Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control.
IROS, 2023

Controlling Neural Style Transfer with Deep Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

GAN-Generated Faces Detection: A Survey and New Perspectives.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Outlier Robust Adversarial Training.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Learning a deep dual-level network for robust DeepFake detection.
Pattern Recognit., 2022

Sum of Ranked Range Loss for Supervised Learning.
J. Mach. Learn. Res., 2022

Network traffic analysis over clustering-based collective anomaly detection.
Comput. Networks, 2022

Robust Attentive Deep Neural Network for Detecting GAN-Generated Faces.
IEEE Access, 2022

Differentially private SGDA for minimax problems.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Distributionally Robust Survival Analysis: A Novel Fairness Loss Without Demographics.
Proceedings of the Machine Learning for Health, 2022

Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Contrastive Class-Specific Encoding for Few-Shot Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Eyes Tell All: Irregular Pupil Shapes Reveal GAN-Generated Faces.
Proceedings of the IEEE International Conference on Acoustics, 2022

PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Robust Attentive Deep Neural Network for Exposing GAN-generated Faces.
CoRR, 2021

T<sub>k</sub>ML-AP: Adversarial Attacks to Top-k Multi-Label Learning.
CoRR, 2021

TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Learning by Minimizing the Sum of Ranked Range.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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