| Learning Feature Fusion in Deep Learning‐Based Object Detector E Hassan, Y Khalil, I Ahmad Journal of Engineering 2020 (1), 7286187, 2020 | 32 | 2020 |
| Distributed whale optimization algorithm based on MapReduce Y Khalil, M Alshayeji, I Ahmad Concurrency and Computation: Practice and Experience 31 (1), e4872, 2019 | 28 | 2019 |
| High‐performance low‐power approximate Wallace tree multiplier S Abed, Y Khalil, M Modhaffar, I Ahmad International Journal of Circuit Theory and Applications 46 (12), 2334-2348, 2018 | 28 | 2018 |
| Exploiting multi-modal fusion for urban autonomous driving using latent deep reinforcement learning YH Khalil, HT Mouftah IEEE Transactions on Vehicular Technology 72 (3), 2921-2935, 2022 | 24 | 2022 |
| LiCaNet: Further enhancement of joint perception and motion prediction based on multi-modal fusion YH Khalil, HT Mouftah IEEE Open Journal of Intelligent Transportation Systems 3, 222-235, 2022 | 21 | 2022 |
| Does combining parameter-efficient modules improve few-shot transfer accuracy? N Asadi, M Beitollahi, Y Khalil, Y Li, G Zhang, X Chen arXiv preprint arXiv:2402.15414, 2024 | 9 | 2024 |
| Learning deep feature fusion for traffic light detection E Hassan, Y Khalil, I Ahmad Journal of Engineering Research 11 (3), 94-99, 2023 | 7 | 2023 |
| Licanext: Incorporating sequential range residuals for additional advancement in joint perception and motion prediction YH Khalil, HT Mouftah IEEE Access 9, 146244-146255, 2021 | 6 | 2021 |
| Integration of motion prediction with end-to-end latent RL for self-driving vehicles YH Khalil, HT Mouftah 2021 International Wireless Communications and Mobile Computing (IWCMC …, 2021 | 6 | 2021 |
| End-to-end multi-view fusion for enhanced perception and motion prediction YH Khalil, HT Mouftah 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 1-6, 2021 | 5 | 2021 |
| Lidnet: Boosting perception and motion prediction from a sequence of lidar point clouds for autonomous driving YH Khalil, HT Mouftah GLOBECOM 2022-2022 IEEE Global Communications Conference, 3533-3538, 2022 | 3 | 2022 |
| Zealth: Zigbee-based wban system for e-health monitoring M Imdoukh, Y Khalil, A Rady, M Khanafer 2017 9th IEEE-GCC Conference and Exhibition (GCCCE), 1-9, 2017 | 3 | 2017 |
| Z-Health: A ZigBee-based WBAN for E-Health Monitoring of Children A Rady, Y Khalil, M Khanafer | 2 | 2015 |
| Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization S Hemati, M Beitollahi, AH Estiri, B Al Omari, S Lamghari, YH Khalil, ... Transactions on Machine Learning Research, 0 | 1 | |
| Learning deep feature fusion for traffic light detection E Hassan, Y Khalil, I Ahmad Journal of Engineering Research 12 (1), 100-106, 2024 | | 2024 |
| DFML: Decentralized Federated Mutual Learning YH Khalil, AH Estiri, M Beitollahi, N Asadi, S Hemati, X Li, G Zhang, ... arXiv preprint arXiv:2402.01863, 2024 | | 2024 |
| Low-complexity PDLUT based on symmetry and unification for high-order modulation format J Ke, H Li, Y Khalil, Y Hao, X Tang, X Chen, C Li 49th European Conference on Optical Communications (ECOC 2023) 2023, 664-667, 2023 | | 2023 |
| Combining Pre-trained LoRA Modules Improves Few-shot Adaptation of Foundation Models to New Tasks N Asadi, M Beitollahi, YH Khalil, Y Li, G Zhang, X Chen ICML 2024 Workshop on Foundation Models in the Wild, 0 | | |
Hussein T. MouftahProfessor of Electrical Engineering and Computer ScienceZweryfikowany adres z site.uottawa.ca