Publications
| Venue | Year | Title | Authors |
|---|---|---|---|
| Preprint (arXiv) | 2024 | Discretely Beyond $1/e$: Guided Combinatorial Algorithms for Submodular Maximization  | Yixin Chen, Ankur Nath, Chunli Peng, Alan Kuhnle |
| JAIR | 2024 | Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models  | Yixin Chen★, Tonmoy Dey★, Alan Kuhnle |
| JAIR | 2024 | Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint  | Yixin Chen, Alan Kuhnle |
| KDD | 2023 | Approximation Algorithms for Size-Constrained Non-Monotone Submodular Maximization in Deterministic Linear Time | Yixin Chen, Alan Kuhnle |
| AAAI | 2023 | DASH: A Distributed and Parallelizable Algorithm for Size-Constrained Submodular Maximization | Tonmoy Dey, Yixin Chen, Alan Kuhnle |
| NeurIPS | 2021 | Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel | Yixin Chen, Tonmoy Dey, Alan Kuhnle |
| Preprint (arXiv) | 2020 | Graph neural lasso for dynamic network regression | Yixin Chen, Lin Meng, Jiawei Zhang |
Note: ★ indicates equal contribution.