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Ziyu Huang

2 accepted papers

2025

ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive

NeurIPS 2025poster

Large language model (LLM) decoding suffers from high latency due to fragmented execution across operators and heavy reliance on off-chip memory for data exchange and reduction. This execution model limits opportunities for fusion and incurs significant memory traffic and kernel launch overhead. Wh…

Cited by 0SourceScholar
2025

Enhancing DETR Efficiency with Inter-Object Relationship and Semantic Spectral Decomposition-Based Distillation

ICASSP 2025accepted

DEtection TRansformer (DETR) is an innovative object detection framework based on transformer architecture that achieves end-to-end detection using a self-attention mechanism, moving away from traditional CNN-based approaches. However, the high computational cost of DETR models limits their deployme…

Cited by 0SourceScholar