Author

Yang Guo

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Book Open access Aug 2026

FLEDA: Forecasting-Based Data Partition Placement for Efficient Deep Learning Recommendation Model Training

FLEDA is a forecasting-based data partition placement framework that selectively places daily-level training data partitions onto SSDs under constrained storage capacity and consistently outperforms state-of-the-art multivariate time-series forecasting models and significantly improves SSDs' throughput coverage with lo...

Yuchen Yang, Teng Yin, Yang Guo et al. · Proceedings of the 32nd ACM... · 0 citations

#artificial intelligence Preprint Aug 2026

When Evidence Shapes Collaboration: Knowledge-Conditioned Topology Generation for Multi-Agent Systems

This work proposes K-GAT (Knowledge-Guided Agent Topology Generator), a neuro-symbolic framework that formulates collaboration topology design as a knowledge-conditioned structure learning problem, integrating external evidence directly into autoregressive graph generation.

Yang-Xiao Jiang, Jia-Run Fan, Ming-Cong Xu et al. · 1 citation