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ORCIDYasser H. Khalil
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2020 – today
- 2026
[i6]Mehdi Setayesh, Mahdi Beitollahi, Yasser H. Khalil, Hongliang Li:
Toward Enhancing Representation Learning in Federated Multi-Task Settings. CoRR abs/2602.01626 (2026)- 2025
- [c6]Yasser H. Khalil, Leo Maxime Brunswic, Soufiane Lamghari, Xu Li, Mahdi Beitollahi, Xi Chen:
NoT: Federated Unlearning via Weight Negation. CVPR 2025: 25759-25769 - [c5]Mateo Clémente, Leo Maxime Brunswic, Rui Heng Yang, Xuan Zhao, Yasser H. Khalil, Haoyu Lei, Amir Rasouli, Yinchuan Li:
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising. NeurIPS 2025 - [c4]Yasser H. Khalil, Mehdi Setayesh, Hongliang Li:
CoUn: Empowering Machine Unlearning via Contrastive Learning. NeurIPS 2025 - [i5]Yasser H. Khalil, Leo Maxime Brunswic, Soufiane Lamghari, Xu Li, Mahdi Beitollahi, Xi Chen:
NoT: Federated Unlearning via Weight Negation. CoRR abs/2503.05657 (2025) - [i4]Yasser H. Khalil, Mehdi Setayesh, Hongliang Li:
CoUn: Empowering Machine Unlearning via Contrastive Learning. CoRR abs/2509.16391 (2025) - [i3]Mateo Clémente, Leo Maxime Brunswic, Rui Heng Yang, Xuan Zhao, Yasser H. Khalil, Haoyu Lei, Amir Rasouli, Yinchuan Li:
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising. CoRR abs/2510.21991 (2025) - 2024
- [j6]Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Soufiane Lamghari, Yasser H. Khalil, Xi Chen, Guojun Zhang:
Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization. Trans. Mach. Learn. Res. 2024 (2024) - [j5]Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen:
DFML: Decentralized Federated Mutual Learning. Trans. Mach. Learn. Res. 2024 (2024) - [i2]Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen:
DFML: Decentralized Federated Mutual Learning. CoRR abs/2402.01863 (2024) - [i1]Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen:
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy? CoRR abs/2402.15414 (2024) - 2023
- [j4]Yasser H. Khalil
, Hussein T. Mouftah:
Exploiting Multi-Modal Fusion for Urban Autonomous Driving Using Latent Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 72(3): 2921-2935 (2023) - 2022
- [c3]Yasser H. Khalil, Hussein T. Mouftah:
LidNet: Boosting Perception and Motion Prediction from a Sequence of LIDAR Point Clouds for Autonomous Driving. GLOBECOM 2022: 3533-3538 - 2021
- [j3]Yasser H. Khalil, Hussein T. Mouftah:
LiCaNext: Incorporating Sequential Range Residuals for Additional Advancement in Joint Perception and Motion Prediction. IEEE Access 9: 146244-146255 (2021) - [c2]Yasser H. Khalil, Hussein T. Mouftah:
Integration of Motion Prediction with End-to-end Latent RL for Self-Driving Vehicles. IWCMC 2021: 1111-1116 - [c1]Yasser H. Khalil, Hussein T. Mouftah:
End-to-End Multi-View Fusion for Enhanced Perception and Motion Prediction. VTC Fall 2021: 1-6
2010 – 2019
- 2019
- [j2]Yasser H. Khalil, Mohammad Alshayeji, Imtiaz Ahmad:
Distributed Whale Optimization Algorithm based on MapReduce. Concurr. Comput. Pract. Exp. 31(1) (2019) - 2018
- [j1]Sa'ed Abed, Yasser H. Khalil, Mahdi Modhaffar, Imtiaz Ahmad:
High-performance low-power approximate Wallace tree multiplier. Int. J. Circuit Theory Appl. 46(12): 2334-2348 (2018)
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