Riyadh Baghdadi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
12
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | CHEHAB RL: Learning to Optimize Fully Homomorphic Encryption Computations. | Bilel Sefsaf, Abderraouf Dandani, Abdessamed Seddiki, Arab Mohammed, Eduardo Chielle, Michail Maniatakos, Riyadh Baghdadi |
| 2026 | CC | CHEHAB: Automatic Compiler Code Optimization for Fully Homomorphic Encryption. | Abdessamed Seddiki, Arab Mohammed, Zakaria Hebbal, Aimad Chabounia, Eduardo Chielle, Karima Benatchba, Challal Yacine, Djamel Eddine Menacer, Michail Maniatakos, Riyadh Baghdadi |
| 2026 | CGO | Dependence-Driven, Scalable Quantum Circuit Mapping with Affine Abstractions. | Marouane Benbetka, Merwan Bekkar, Riyadh Baghdadi, Martin Kong |
| 2026 | CGO | A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler. | Mohammed Tirichine, Nassim Ameur, Nazim Bendib, Iheb Nassim Aouadj, Djad Bouchama, Rafik Bouloudene, Riyadh Baghdadi |
| 2025 | AICCSA | A Data-driven Analysis of Code Optimizations. | Yacine Hakimi, Riyadh Baghdadi |
| 2025 | AICCSA | A Deep Learning Model for Predicting Transformation Legality. | Avani Tiwari, Yacine Hakimi, Riyadh Baghdadi |
| 2025 | CC | Data-Efficient Performance Modeling via Pre-training. | Chunting Liu, Riyadh Baghdadi |
| 2025 | ECAI | Neural Architecture Search with Mixed Bio-Inspired Learning Rules. | Imane Hamzaoui, Riyadh Baghdadi |
| 2025 | ECIR | Leveraging High-Resolution Features for Improved Deep Hashing-Based Image Retrieval. | Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi |
| 2025 | ICS | Pearl: Automatic Code Optimization Using Deep Reinforcement Learning. | Djamel Rassem Lamouri, Iheb Nassim Aouadj, Smail Kourta, Riyadh Baghdadi |
| 2024 | ACL | Curriculum Learning for Small Code Language Models. | Marwa Nar, Kamel Mohammed Yamani, Lynda Said L'Hadj, Riyadh Baghdadi |
| 2024 | WEBIST | SPACED: A Novel Deep Learning Method for Community Detection in Social Networks. | Mohammed Tirichine, Nassim Ameur, Younes Boukacem, Hatem M. Abdelmoumen, Hodhaifa Benouaklil, Samy Ghebache, Boualem Hamroune, Malika Bessedik, Fatima Benbouzid-Si Tayeb, Riyadh Baghdadi |
| 2023 | CC | A Deep Learning Model for Loop Interchange. | Lina Mezdour, Khadidja Kadem, Massinissa Merouani, Amina Selma Haichour, Saman P. Amarasinghe, Riyadh Baghdadi |
| 2022 | CC | Caviar: an e-graph based TRS for automatic code optimization. | Smail Kourta, Adel Abderahmane Namani, Fatima Benbouzid-Si Tayeb, Kim M. Hazelwood, Chris Cummins, Hugh Leather, Riyadh Baghdadi |
| 2022 | ICCCI | An Integrated Artificial Bee Colony Algorithm for Scheduling Jobs and Flexible Maintenance with Learning and Deteriorating Effects. | Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Alaeddine Dahamni, Riyadh Baghdadi |
| 2022 | KES | Permutation Flowshop Scheduling Problem Considering Learning, Deteriorating Effects and Flexible Maintenance. | Nesrine Touafek, Asma Ladj, Fatima Benbouzid-Si Tayeb, Alaeddine Dahamni, Riyadh Baghdadi |
| 2019 | CGO | Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code. | Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman P. Amarasinghe |
| 2017 | ICCD | A Common Backend for Hardware Acceleration on FPGA. | Emanuele Del Sozzo, Riyadh Baghdadi, Saman P. Amarasinghe, Marco D. Santambrogio |