Shu Hu (胡暑)
Shu Hu (胡暑)
Post-Doctoral Fellow, Carnegie Mellon University
在 cmu.edu 的电子邮件经过验证 - 首页
A fast PC algorithm for high dimensional causal discovery with multi-core PCs
TD Le, T Hoang, J Li, L Liu, H Liu, S Hu
IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2016
Exposing GAN-generated Faces Using Inconsistent Corneal Specular Highlights
S Hu, Y Li, S Lyu
46th IEEE International Conference on Acoustics, Speech, and Signal …, 2021
Uncertainty Aware Semi-Supervised Learning on Graph Data
X Zhao, F Chen, S Hu, JH Cho
Advances in Neural Information Processing Systems, 2020, 2020
GAN-generated Faces Detection: A Survey and New Perspectives
X Wang, H Guo, S Hu, MC Chang, S Lyu
arXiv preprint arXiv:2202.07145, 2022
Eyes tell all: Irregular pupil shapes reveal GAN-generated faces
H Guo, S Hu, X Wang, MC Chang, S Lyu
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
NIR iris challenge evaluation in non-cooperative environments: Segmentation and localization
C Wang, Y Wang, K Zhang, J Muhammad, T Lu, Q Zhang, Q Tian, Z He, ...
2021 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2021
Robust attentive deep neural network for detecting gan-generated faces
H Guo, S Hu, X Wang, MC Chang, S Lyu
IEEE Access 10, 32574-32583, 2022
T ML-AP: Adversarial Attacks to Top- Multi-Label Learning
S Hu, L Ke, X Wang, S Lyu
International Conference on Computer Vision (ICCV), 2021, 10., 2021
Learning by Minimizing the Sum of Ranked Range
S Hu, Y Ying, X Wang, S Lyu
Advances in Neural Information Processing Systems, 2020, 2020
ParallelPC: an R package for efficient causal exploration in genomic data
TD Le, T Xu, L Liu, H Shu, T Hoang, J Li
Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 …, 2018
ParallelPC: an R package for efficient constraint based causal exploration
TD Le, T Hoang, J Li, L Liu, S Hu
arXiv preprint arXiv:1510.03042, 2015
Differentially Private SGDA for Minimax Problems
Z Yang, S Hu, Y Lei, KR Varshney, S Lyu, Y Ying
The 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), 2022
Sum of Ranked Range Loss for Supervised Learning
S Hu, Y Ying, X Wang, S Lyu
Journal of Machine Learning Research, 2021
Uncertainty-based Decision Making Using Deep Reinforcement Learning
X Zhao, S Hu, JH Cho, F Chen
International Conference on Information Fusion (FUSION), 2019
Learning a deep dual-level network for robust DeepFake detection
W Pu, J Hu, X Wang, Y Li, S Hu, B Zhu, R Song, Q Song, X Wu, S Lyu
Pattern Recognition 130, 108832, 2022
Open-eye: An open platform to study human performance on identifying ai-synthesized faces
H Guo, S Hu, X Wang, MC Chang, S Lyu
2022 IEEE 5th International Conference on Multimedia Information Processing …, 2022
Network traffic analysis over clustering-based collective anomaly detection
C Wang, H Zhou, Z Hao, S Hu, J Li, X Zhang, B Jiang, X Chen
Computer Networks 205, 108760, 2022
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
S Hu, CH Liu, J Dutta, MC Chang, S Lyu, N Ramakrishnan
Autonomous Driving workshop at CVPR 2022, 2022
Identifying microrna targets in epithelial-mesenchymal transition using joint-intervention causal inference
TD Le, J Zhang, L Liu, BMT Truong, S Hu, T Xu, J Li
Proceedings of the 8th International Conference on Computational Systems …, 2017
Rank-based Decomposable Losses in Machine Learning: A Survey
S Hu, X Wang, S Lyu
arXiv preprint arXiv:2207.08768, 2022
文章 1–20