| Multi-Channel Multi-Model Feature Learning for Face Recognition MS Aslan, Z Hailat, T Alafif, XW Chen Pattern Recognition Letters, 2016 | 31 | 2016 |
| On Detecting Partially Occluded Faces with Pose Variations T Alafif, Z Hailat, M Aslan, X Chen The 14th International Symposium on Pervasive Systems, Algorithms, and …, 2017 | 16 | 2017 |
| Extraction of ownership object graphs from object-oriented code: an experience report M Abi-Antoun, N Ammar, Z Hailat Proceedings of the 8th international ACM SIGSOFT conference on Quality of …, 2012 | 13 | 2012 |
| The value of EphB2 receptor and cognate ephrin ligands in prognostic and predictive assessments of human breast cancer AS Ebrahim, Z Hailat, S Bandyopadhyay, D Neill, M Kandouz International journal of molecular sciences 22 (15), 8098, 2021 | 12 | 2021 |
| Deep Semi-Supervised Learning Z Hailat, A Komarichev, XW Chen 2018 24th International Conference on Pattern Recognition (ICPR), pp. 2154-2159, 2018 | 11 | 2018 |
| On classifying facial races with partial occlusions and pose variations T Alafif, Z Hailat, M Aslan, X Chen 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 8 | 2017 |
| Integrative analysis of independent transcriptome data for rare diseases Z Zhang, Z Hailat, MJ Falk, X Chen Methods 69 (3), 315-325, 2014 | 7 | 2014 |
| Teacher/Student Deep Semi-Supervised Learning Z Hailat, X Chen ICMLA, 2018 | 6* | 2018 |
| The Validation and Determination of Empagliflozin Concentration in the Presence of Grapefruit Juice Using HPLC for Pharmacokinetic Applications W Abu Dayyih, Z Zakaraya, M Hailat, NM Al-Tawarah, S Alkharabsheh, ... Molecules 29 (6), 1236, 2024 | 2 | 2024 |
| HyResNet: A Hybrid Residual Network for Supervised Deep Learning Z Hailat, A Komarichev, XW Chen Wayne State University. Technical Report, 2017 | 2 | 2017 |
| A Case Study in Extracting the Runtime Architecture of an Object-Oriented System M Abi-Antoun, Z Hailat Wayne State University Technical Report, 2011 | 2 | 2011 |
| Computer-based systems and methods for training and using a machine learning model for improved processing of user queries based on inferred user intent S Mallapragada, Y Xie, VR Chawan, Z Hailat, S Hughes, W Yuanbo US Patent 12,235,911, 2025 | 1 | 2025 |
| Large-scale datasets: Faces with partial occlusions and pose variations in the wild T Alafif, Z Hailat, M Aslan, X Chen arXiv preprint arXiv:1706.08690, 2017 | 1 | 2017 |
| Adding Ownership Domain Annotations to and Extracting Ownership Object Graphs from MiniDraw Z Hailat, M Abi-Antoun Tech. rep., WSU, 2011 | 1 | 2011 |
| Innovative dissolving microneedles for enhanced delivery of alpha arbutin and ascorbic acid: a novel LC–MS quantification approach O Tarawneh, S Almasri, AA Alhusban, M Hailat, L Hamadneh, ... Materials Advances, 2025 | | 2025 |
| Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap S Mallapragada, Y Xie, VR Chawan, Z Hailat, Y Wang 2024 IEEE International Conference on Big Data (BigData), 589-598, 2024 | | 2024 |
| Computer-based systems and methods for training and using a machine learning model for improved processing of user queries based on inferred user intent WY Mallapragada Srivatsa, Xie Ying, Chawan Varsha Rani, Hailat Zeyad, Hughes ... US Patent US20240152561A1, 2024 | | 2024 |
| Deep Learning Methods for Visual Object Recognition Z Hailat Wayne State University, 2018 | | 2018 |
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