| 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 | 119 | 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 | 51 | 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 | 50 | 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 | 35 | 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 | 25 | 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 | 19 | 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 | 16 | 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 | 16 | 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 | 12 | 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 | 10 | 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 | 9 | 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 | 8 | 2022 |
| Sum of Ranked Range Loss for Supervised Learning S Hu, Y Ying, X Wang, S Lyu Journal of Machine Learning Research, 2021 | 8 | 2021 |
| Uncertainty-based Decision Making Using Deep Reinforcement Learning X Zhao, S Hu, JH Cho, F Chen International Conference on Information Fusion (FUSION), 2019 | 8 | 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 | 5 | 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 | 5 | 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 | 5 | 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 | 5 | 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 | 5 | 2017 |
| Rank-based Decomposable Losses in Machine Learning: A Survey S Hu, X Wang, S Lyu arXiv preprint arXiv:2207.08768, 2022 | 3 | 2022 |
Siwei Lyu (吕思伟)Professor of CSE, University at Buffalo, SUNYVerified email at buffalo.edu
