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Lianbo Ma

ICML 2026KDD 2026SIGIR 2026效率与系统安全评测与基准可解释性检索与知识
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1 一作 · 3 篇 · ICML 2026 / KDD 2026 / SIGIR 2026

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2026 顶会论文

3
一作ICML 2026Poster· Applications / Everything Else

No Retraining at Edge: Efficient Resource-Aware Mixed-Precision Quantization via Federated Supernet Learning

Lianbo Ma · Yonghui Su · Nan Li · Xingwei Wang

效率与系统OpenReview
作者位次 #5/8SIGIR 2026Oral· Information Retrieval (Reproducibility)

Pay Attention to Sequence Split: Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models

Yizhou Dang · Yifan Wu · Minhan Huang · Chuang Zhao · Lianbo Ma · Guibing Guo · Xingwei Wang · Zhu Sun

摘要

Sub-sequence splitting (SSS) has been demonstrated as an effective approach to mitigate data sparsity in sequential recommendation (SR) by splitting a raw user interaction sequence into multiple sub-sequences. Previous studies have demonstrated its ability to enhance the performance of SR models...

安全效率与系统评测与基准OpenReview

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