Author

Tong Qiao

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#machine learning Preprint Sep 2026

HAPMoE: Heterogeneity-Aware Automatic Parallelism Planning for Mixture-of-Experts Models Training

As model sizes continue to scale, distributed training has become inevitable. Automatic parallelization techniques can derive efficient training parallelism strategies at low cost while achieving superior performance. The difficulty of this problem is jointly determined by the complexity of the model and the underlying...

Meng-Yuan Fan, Pei-Zhuang Cong, Zi-Xiao Huang et al. · 0 citations

#machine learning Preprint Sep 2026

MegaGraph: Towards Efficient Training of Large-Scale Graph Transformers with Automated Hybrid Parallelism

Graph Transformers (GTs) offer superior representation capabilities by overcoming the depth limitations and over-smoothing issues of traditional Graph Neural Networks (GNNs). However, scaling GTs to large graphs poses critical bottlenecks. Specifically, the attention score matrix and its associated topology-aware bias...

Tong Qiao, Ao Zhou, Ying-Jie Qi et al. · 0 citations