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Employment (1)

Purdue University in Indianapolis: Indianapolis, US

2023-08-01 to present | Assistant Professor (Department of Computer and Information Technology)
Employment
Source: Self-asserted source
Shu Hu

Works (24)

VB-KGN: Variational Bayesian Kernel Generation Networks for Motion Image Deblurring

IEEE Transactions on Multimedia
2025 | Journal article
Contributors: Ying Fu; Xinyu Zhu; Xiaojie Li; Xin Wang; Xi Wu; Shu Hu; Yi Wu; Siwei Lyu; Wei Liu
Source: check_circle
Crossref

Fairness in Survival Analysis with Distributionally Robust Optimization

Journal of Machine Learning Research
2024 | Journal article
URI:

http://jmlr.org/papers/v25/23-0888.html

Contributors: Shu Hu; George H. Chen
Source: Self-asserted source
Shu Hu

Improving Fairness in Deepfake Detection

IEEE/CVF Winter Conference on Applications of Computer Vision
2024 | Conference paper
Contributors: Shu Hu; Yan Ju; Shan Jia; George H. Chen; Siwei Lyu
Source: Self-asserted source
Shu Hu

Preserving Fairness Generalization in Deepfake Detection

The IEEE/CVF Conference on Computer Vision and Pattern Recognition
2024-06 | Conference paper
Contributors: Li Lin; Xianan He; Yan Ju; Xin Wang; Feng Ding; Shu Hu
Source: Self-asserted source
Shu Hu

Masked Conditional Diffusion Model for Enhancing Deepfake Detection

2024 International Joint Conference on Neural Networks (IJCNN)
2024-06-30 | Conference paper
Contributors: Tiewen Chen; Shanmin Yang; Shu Hu; Zhenghan Fang; Ying Fu; Xi Wu; Xin Wang
Source: Self-asserted source
Shu Hu

Uncertainty-Aware Explainable Recommendation with Large Language Models

2024 International Joint Conference on Neural Networks (IJCNN)
2024-06-30 | Conference paper
Contributors: Yicui Peng; Hao Chen; Ching-Sheng Lin; Guo Huang; Jinrong Hu; Hui Guo; Bin Kong; Shu Hu; Xi Wu; Xin Wang
Source: Self-asserted source
Shu Hu

UMedNeRF: Uncertainty-Aware Single View Volumetric Rendering For Medical Neural Radiance Fields

2024 IEEE International Symposium on Biomedical Imaging (ISBI)
2024-05-27 | Conference paper
Contributors: Jing Hu; Qinrui Fan; Shu Hu; Siwei Lyu; Xi Wu; Xin Wang
Source: Self-asserted source
Shu Hu

Few-Shot Learning for Misinformation Detection Based on Contrastive Models

Electronics
2024-02-19 | Journal article
Contributors: Peng Zheng; Hao Chen; Shu Hu; Bin Zhu; Jinrong Hu; Ching-Sheng Lin; Xi Wu; Siwei Lyu; Guo Huang; Xin Wang
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Rank-based decomposable losses in machine learning: A survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
2023 | Journal article
Contributors: Hu, Shu; Wang, Xin; Lyu, Siwei
Source: Self-asserted source
Shu Hu

Outlier Robust Adversarial Training

The 15th Asian Conference on Machine Learning
2023-09 | Conference paper
Contributors: Shu Hu; Zhenhuan Yang; Xin Wang; Yiming Ying; Siwei Lyu
Source: Self-asserted source
Shu Hu

Controlling Neural Style Transfer with Deep Reinforcement Learning

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
2023-08 | Conference paper
Contributors: Chengming Feng; Jing Hu; Xin Wang; Shu Hu; Bin Zhu; Xi Wu; Hongtu Zhu; Siwei Lyu
Source: Self-asserted source
Shu Hu

Differentially private sgda for minimax problems

Uncertainty in Artificial Intelligence
2022 | Conference paper
Contributors: Yang, Zhenhuan; Hu, Shu; Lei, Yunwen; Vashney, Kush R; Lyu, Siwei; Ying, Yiming
Source: Self-asserted source
Shu Hu

Distributionally robust survival analysis: A novel fairness loss without demographics

Machine Learning for Health
2022 | Conference paper
Contributors: Hu, Shu; Chen, George H
Source: Self-asserted source
Shu Hu

Eyes tell all: Irregular pupil shapes reveal GAN-generated faces

ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2022 | Conference paper
Contributors: Guo, Hui; Hu, Shu; Wang, Xin; Chang, Ming-Ching; Lyu, Siwei
Source: Self-asserted source
Shu Hu

Learning a deep dual-level network for robust DeepFake detection

Pattern Recognition
2022 | Journal article
Contributors: Pu, Wenbo; Hu, Jing; Wang, Xin; Li, Yuezun; Hu, Shu; Zhu, Bin; Song, Rui; Song, Qi; Wu, Xi; Lyu, Siwei
Source: Self-asserted source
Shu Hu

Robust attentive deep neural network for detecting GAN-generated faces

IEEE Access
2022 | Journal article
Contributors: Guo, Hui; Hu, Shu; Wang, Xin; Chang, Ming-Ching; Lyu, Siwei
Source: Self-asserted source
Shu Hu

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration

Proceedings of the AAAI Conference on Artificial Intelligence
2022 | Conference paper
Contributors: Luo, Ziwei; Hu, Jing; Wang, Xin; Hu, Shu; Kong, Bin; Yin, Youbing; Song, Qi; Wu, Xi; Lyu, Siwei
Source: Self-asserted source
Shu Hu

Sum of ranked range loss for supervised learning

The Journal of Machine Learning Research
2022 | Journal article
Contributors: Hu, Shu; Ying, Yiming; Wang, Xin; Lyu, Siwei
Source: Self-asserted source
Shu Hu

Contrastive Class-Specific Encoding for Few-Shot Object Detection

2022 IEEE International Conference on Multimedia and Expo (ICME)
2022-07-18 | Conference paper
Contributors: Dizhong Lin; Ying Fu; Xin Wang; Shu Hu; Bin Zhu; Qi Song; Xi Wu; Siwei Lyu
Source: Self-asserted source
Shu Hu

PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
2022-06 | Conference paper
Contributors: Shu Hu; Chun-Hao Liu; Jayanta Dutta; Ming-Ching Chang; Siwei Lyu; Naveen Ramakrishnan
Source: Self-asserted source
Shu Hu

Exposing GAN-generated faces using inconsistent corneal specular highlights

ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2021 | Conference paper
Contributors: Hu, Shu; Li, Yuezun; Lyu, Siwei
Source: Self-asserted source
Shu Hu

Tkml-ap: Adversarial attacks to top-k multi-label learning

Proceedings of the IEEE/CVF International Conference on Computer Vision
2021 | Conference paper
Contributors: Hu, Shu; Ke, Lipeng; Wang, Xin; Lyu, Siwei
Source: Self-asserted source
Shu Hu

Learning by minimizing the sum of ranked range

Advances in Neural Information Processing Systems
2020 | Journal article
Contributors: Hu, Shu; Ying, Yiming; Lyu, Siwei; others
Source: Self-asserted source
Shu Hu

Uncertainty aware semi-supervised learning on graph data

Advances in Neural Information Processing Systems
2020 | Journal article
Contributors: Zhao, Xujiang; Chen, Feng; Hu, Shu; Cho, Jin-Hee
Source: Self-asserted source
Shu Hu

Peer review (1 review for 1 publication/grant)

Review activity for International journal of computer vision. (1)