| Topology-aware network pruning using multi-stage graph embedding and reinforcement learning S Yu, A Mazaheri, A Jannesari International conference on machine learning, 25656-25667, 2022 | 45 | 2022 |
| Auto graph encoder-decoder for neural network pruning S Yu, A Mazaheri, A Jannesari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 43* | 2021 |
| Heterogeneous federated learning using dynamic model pruning and adaptive gradient S Yu, P Nguyen, A Anwar, A Jannesari 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet …, 2023 | 30* | 2023 |
| Federated foundation models: Privacy-preserving and collaborative learning for large models S Yu, JP Muñoz, A Jannesari arXiv preprint arXiv:2305.11414, 2023 | 29 | 2023 |
| Spatl: Salient parameter aggregation and transfer learning for heterogeneous federated learning S Yu, P Nguyen, W Abebe, W Qian, A Anwar, A Jannesari SC22: International Conference for High Performance Computing, Networking …, 2022 | 18* | 2022 |
| Resource-aware federated learning using knowledge extraction and multi-model fusion S Yu, W Qian, A Jannesari arXiv preprint arXiv:2208.07978, 2022 | 17 | 2022 |
| Resource-aware heterogeneous federated learning using neural architecture search S Yu, P Nguyen, W Abebe, J Stanley, P Munoz, A Jannesari arXiv preprint arXiv:2211.05716, 2022 | 10 | 2022 |
| Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion DP Nguyen, S Yu, JP Muñoz, A Jannesari Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 4 | 2023 |
| The Landscape and Challenges of HPC Research and LLMs L Chen, NK Ahmed, A Dutta, A Bhattacharjee, S Yu, QI Mahmud, ... CoRR, 2024 | 3 | 2024 |
| Bridging the gap between foundation models and heterogeneous federated learning S Yu, JP Muñoz, A Jannesari arXiv preprint arXiv:2310.00247, 2023 | 2 | 2023 |
| Position Paper: The Landscape and Challenges of HPC Research and LLMs L Chen, NK Ahmed, A Dutta, A Bhattacharjee, S Yu, QI Mahmud, ... arXiv preprint arXiv:2402.02018, 2024 | 1 | 2024 |
| Towards seamless management of ai models in high-performance computing S Yu, M Emani, C Liao, PH Lin, T Vanderbruggen, X Shen, A Jannesari arXiv preprint arXiv:2212.06352, 2022 | 1 | 2022 |
| PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation B Butler, S Yu, A Mazaheri, A Jannesari arXiv preprint arXiv:2407.11798, 2024 | | 2024 |
| Resource-Aware Heterogeneous Federated Learning with Specialized Local Models S Yu, P Munoz, A Jannesari EasyChair, 2024 | | 2024 |
| Topology-aware efficient and transferable model compression using graph representation and reinforcement learning S Yu Iowa State University, 2023 | | 2023 |
| GNN-RL compression: topology-aware network pruning using multi-stage graph embedding and reinforcement learning S Yu, A Mazaheri, A Jannesari arXiv preprint arXiv:2102.03214 3, 2021 | | 2021 |
Ali JannesariAssociate Professor, Iowa State University在 iastate.edu 的电子邮件经过验证
