| 2026 | EuroPar | SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet. | Abdullah Al Asif, Sixing Yu, Juan Pablo Muoz, Arya Mazaheri, Ali Jannesari |
| 2025 | HPDC | Weight-Sharing NAS with Architecture-Agnostic Intermediate Representation. | Sixing Yu, Arya Mazaheri, Ali Jannesari |
| 2024 | COLING | Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models. | Sixing Yu, Juan Pablo Muoz, Ali Jannesari |
| 2024 | EuroPar | Resource-Aware Heterogeneous Federated Learning with Specialized Local Models. | Sixing Yu, J. Pablo Muoz, Ali Jannesari |
| 2024 | SC | PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation. | Branden Butler, Sixing Yu, Arya Mazaheri, Ali Jannesari |
| 2023 | CCGRID | Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient. | Sixing Yu, Phuong Nguyen, Ali Anwar, Ali Jannesari |
| 2023 | SC | Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. | Duy Phuong Nguyen, Sixing Yu, J. Pablo Muoz, Ali Jannesari |
| 2022 | ICML | Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning. | Sixing Yu, Arya Mazaheri, Ali Jannesari |
| 2022 | SC | SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Federated Learning. | Sixing Yu, Phuong Nguyen, Waqwoya Abebe, Wei Qian, Ali Anwar, Ali Jannesari |
| 2021 | ICCV | Auto Graph Encoder-Decoder for Neural Network Pruning. | Sixing Yu, Arya Mazaheri, Ali Jannesari |