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Author

Sijia Chen

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Jul 2026

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation

This work proposes Request-Oriented Compute Sharing (ROCS), a modeling and inference paradigm that exploits a unique property of recommendation inference: each user request is evaluated against many candidates, while request-side features are shared across candidates.

Yuxin Chen, Liang Luo, Buyun Zhang et al. · 0 citations
Preprint Aug 2026

MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding

This work systematically study MoE designs for vision encoder scaling and finds that fine-grained MoE topologies yield substantial gains over both dense and standard MoE counterparts, and proposes an auxiliary-loss-free balancing variant for better expert utilization, and designs a specialized MoE kernel to mitigate inference latency overhead.

Bonan Zhang, Shiyu Dong, Quan Hung Tran et al. · 0 citations

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