| 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 | 182 | 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 | 124 | 2021 |
| NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 120 | 2023 |
| Uncertainty Aware Semi-Supervised Learning on Graph Data X Zhao, F Chen, S Hu, JH Cho Advances in Neural Information Processing Systems, 2020, 2020 | 108 | 2020 |
| GAN-generated Faces Detection: A Survey and New Perspectives X Wang, H Guo, S Hu, MC Chang, S Lyu ECAI, 2022 | 87 | 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 | 85 | 2022 |
| 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 | 45 | 2022 |
| 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 | 41 | 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 | 37 | 2021 |
| 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 | 32 | 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 | 28 | 2020 |
| Rank-based decomposable losses in machine learning: A survey S Hu, X Wang, S Lyu IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 | 24 | 2023 |
| 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 | 24 | 2022 |
| 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 | 22 | 2022 |
| Sum of Ranked Range Loss for Supervised Learning S Hu, Y Ying, X Wang, S Lyu Journal of Machine Learning Research, 2021 | 22 | 2021 |
| Detecting multimedia generated by large ai models: A survey L Lin, N Gupta, Y Zhang, H Ren, CH Liu, F Ding, X Wang, X Li, ... arXiv preprint arXiv:2402.00045, 2024 | 19 | 2024 |
| Uncertainty-based Decision Making Using Deep Reinforcement Learning X Zhao, S Hu, JH Cho, F Chen International Conference on Information Fusion (FUSION), 2019 | 17 | 2019 |
| 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 | 15 | 2018 |
| Improving Fairness in Deepfake Detection Y Ju, S Hu, S Jia, GH Chen, S Lyu WACV 2024, 2023 | 14 | 2023 |
| 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 | 13 | 2022 |
Xin WangAssistant Professor, University at Albany SUNYVerified email at albany.edu
