| Groupim: A mutual information maximization framework for neural group recommendation A Sankar, Y Wu, Y Wu, W Zhang, H Yang, H Sundaram Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020 | 109 | 2020 |
| Adversarial light projection attacks on face recognition systems: A feasibility study DL Nguyen, SS Arora, Y Wu, H Yang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 104 | 2020 |
| Adversarial example detection using latent neighborhood graph A Abusnaina, Y Wu, S Arora, Y Wang, F Wang, H Yang, D Mohaisen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 68 | 2021 |
| Robust 3D face shape reconstruction from single images via two-fold coupled structure learning P Dou, Y Wu, SK Shah, IA Kakadiaris Proc. British Machine Vision Conference, 1-13, 2014 | 41 | 2014 |
| Evaluation of a 3D-aided pose invariant 2D face recognition system X Xu, HA Le, P Dou, Y Wu, IA Kakadiaris 2017 IEEE International Joint Conference on Biometrics (IJCB), 446-455, 2017 | 38 | 2017 |
| GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild Y Wu, SK Shah, IA Kakadiaris Image and Vision Computing 73, 1-16, 2018 | 30 | 2018 |
| Rendering or normalization? An analysis of the 3D-aided pose-invariant face recognition Y Wu, SK Shah, IA Kakadiaris IEEE International Conference on Identity, Security and Behavior Analysis, 2016 | 26 | 2016 |
| Pose-robust face signature for multi-view face recognition P Dou, L Zhang, Y Wu, SK Shah, IA Kakadiaris 2015 IEEE 7th International Conference on Biometrics Theory, Applications …, 2015 | 26 | 2015 |
| Node classification beyond homophily: Towards a general solution Z Xu, Y Chen, Q Zhou, Y Wu, M Pan, H Yang, H Tong Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 17 | 2023 |
| Self-rated healthy life expectancy changes in Jiangxi province of China by gender and urban–rural differences, 2013–2018 Z Liu, H Zheng, Y Wu, S Wang, Y Liu, S Hu Frontiers in Public Health 8, 596249, 2021 | 17 | 2021 |
| Monocular 3D facial shape reconstruction from a single 2D image with coupled-dictionary learning and sparse coding P Dou, Y Wu, SK Shah, IA Kakadiaris Pattern Recognition 81, 515-527, 2018 | 17 | 2018 |
| Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions Y Wu, SS Arora, Y Wu, H Yang The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021 | 14 | 2021 |
| Benchmarking 3D pose estimation for face recognition P Dou, Y Wu, SK Shah, IA Kakadiaris 2014 22nd International Conference on Pattern Recognition, 190-195, 2014 | 12 | 2014 |
| Event2graph: Event-driven bipartite graph for multivariate time-series anomaly detection Y Wu, M Gu, L Wang, Y Lin, F Wang, H Yang arXiv preprint arXiv:2108.06783, 2021 | 10 | 2021 |
| SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction X Li, Y Wu, V Rakesh, Y Lin, H Yang, F Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 7 | 2022 |
| System, method, and computer program product for evaluating a fraud detection system Y Wu, H Yang US Patent 11,244,321, 2022 | 7 | 2022 |
| Towards fitting a 3D dense facial model to a 2D image: A landmark-free approach Y Wu, X Xu, SK Shah, IA Kakadiaris 2015 IEEE 7th International Conference on Biometrics Theory, Applications …, 2015 | 7 | 2015 |
| Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition Y Wu, IA Kakadiaris Proc. IAPR International Conference on Biometrics, 2019 | 6* | 2019 |
| 2017 IEEE International Joint Conference on Biometrics (IJCB) X Xu, HA Le, P Dou, Y Wu, IA Kakadiaris IEEE,, 2017 | 6 | 2017 |
| Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation J Wang, Y Chen, Y Wu, M Das, H Yang, F Ma Pacific-Asia Conference on Knowledge Discovery and Data Mining, 155-167, 2024 | 5 | 2024 |
Ioannis A. KakadiarisHugh Roy and Lillie Cranz Cullen Distinguished University Professor of Computer Science, Electrical在 uh.edu 的电子邮件经过验证