Publications
Publications by categories in reversed chronological order. 1 represents co-first author.
2025
2024
- NeurIPSLSH-MoE: Communication-efficient MoE Training via Locality-Sensitive HashingProceedings of NeurIPS Conference 2024
- SOSPEnabling Parallelism Hot Switching for Efficient Training of Large Language ModelsProceedings of SOSP Conference 2024
- SCAtlas: Hierarchical Partitioning for Quantum Circuit Simulation on GPUsProceedings of SC Conference 2024
- ICDEMFIX: An Efficient and Reliable Index Advisor via Multi-Fidelity Bayesian OptimizationProceedings of ICDE Conference 2024
2023
- OSDIEinNet: Optimizing Tensor Programs with Derivation-Based TransformationsProceedings of OSDI Conference 2023
- VLDBSDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel TrainingProc. VLDB Endow. 2023
- SIGMODFlexMoE: Scaling Large-scale Sparse Pre-trained Model Training via Dynamic Device PlacementProceedings of SIGMOD Conference 2023
2022
- VLDBJP2CG: A Privacy Preserving Collaborative Graph Neural Network Training FrameworkThe VLDB Journal 2022