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Bo Tang

AAAI 2026ICML 2026INFOCOM 2026SIGIR 2026VLDB 2026可解释性效率与系统检索与知识
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0 一作 · 5 篇 · AAAI 2026 / ICML 2026 / INFOCOM 2026 / SIGIR 2026 / VLDB 2026

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2026 顶会论文

5
作者位次 #4/4ICML 2026Poster· Deep Learning / Attention Mechanisms

FiX: Introducing Fine-grained Forget Gate into Softmax Attention

Runzhong Li · Renjie Liu · Qing Li · Bo Tang

可解释性OpenReview
作者位次 #3/3SIGIR 2026Oral· Information Retrieval (Full)

GIGP+: A CPU-GPU Co-Processing Engine for Multi-Vector Retrieval

Zheng Bian · Man Lung Yiu · Bo Tang

摘要

Multi-vector retrieval models (e.g., ColBERTv2) offer high retrieval accuracy but suffer from efficiency problems at scale. Recently, several methods have been developed to enhance the efficiency of multi-vector retrieval. On one hand, the state-of-the-art GPU-based method PLAID-GPU exploits the...

效率与系统可解释性检索与知识OpenReview
作者位次 #5/5INFOCOM 2026Oral· Computer Communications & Networking

HeatCache: A Heat-Predictive TCAM Rule Caching Framework with Dependency-Aware Optimization

Lei Guo · Zeyu Luan · Qing Li · Zhuochen Fan · Bo Tang

常见合作者