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Xin-Yi Liu

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#machine learning Preprint Oct 2026

ML-OPF-Bench: Benchmarking Machine Learning for Optimal Power Flow

Machine Learning (ML) methods promise a fast solution process for Optimal Power Flow (OPF). While inconsistent test cases, implementations, and evaluation metrics across existing studies make it challenging to determine which algorithmic advances are most critical for real-world deployment. To this end, we propose ML-O...

Xin-Yi Liu, Xuan He, Danny H. K. Tsang et al. · 0 citations
Preprint Sep 2026

Cobalt: Leveraging Expert Co-activation for Efficient Distributed MoE Training

Mixture-of-Experts (MoE) has increasingly become a mainstream approach for scaling large language models, as it expands model capacity while keeping computation cost nearly constant. Training large-scale MoE models relies on Expert Parallelism (EP), which distributes expert replicas across GPUs and exchanges tokens thr...

Jun-Kang Zhou, Xin-Yi Liu, Fang-Cheng Fu · 0 citations

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