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Haibing Guan

MICRO 2026×5ISCA 2026×4OSDI 2026×3AAAI 2026×2ACL 2026HPCA 2026ICML 2026INFOCOM 2026KDD 2026PPoPP 2026效率与系统长上下文与架构检索与知识多模态评测与基准
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0 一作 · 20 篇 · MICRO 2026 / ISCA 2026 / OSDI 2026 / AAAI 2026 / ACL 2026 / HPCA 2026 / ICML 2026 / INFOCOM 2026 / KDD 2026 / PPoPP 2026

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2026 顶会论文

20
作者位次 #13/13OSDI 2026Oral· Operating Systems & Distributed Systems

What Are You (M)Waiting For: The Hidden Cost of Idle in the Hyperscale Cloud (Operational Systems)

Yun Wang · Xingguo Jia · Ben Luo · Kenan Liu · Shengdong Dai · Jingdong Han · Weihao Chen · Yicheng Gu · Xingzi Yu · Yibin Shen · Jiesheng Wu · Zhengwei Qi · Haibing Guan

摘要

Oversubscription is central to large-scale clouds: multiplexing virtual CPUs (vCPUs) over fewer physical CPUs (pCPUs) improves utilization and sales density, but meeting strict latency Service Level Objectives (SLOs) requires precise control over idle behavior. In 1:1 settings, idle-passthrough—e...

效率与系统OpenReview
作者位次 #13/13OSDI 2026Oral· Operating Systems & Distributed Systems

M3U: Scalable Kernel Memory Management for Efficient Post-Copy Live Migration of High-End Virtual Machines

Yizhe Xu · Yuan Tao · Zhibin Zhang · Kang Yan · Chao Zhang · Shuo Shi · Zongpu Zhang · Xu Huan · Yibin Shen · Xudong Zheng · Jiesheng Wu · Jian Li · Haibing Guan

摘要

High-end virtual machines (VMs) have become essential in public clouds for supporting large-scale guest applications. While conventional pre-copy live migration cannot reliably migrate such high-end VMs due to convergence problems, post-copy migration offers a viable alternative. However, high-en...

效率与系统评测与基准检索与知识OpenReview
作者位次 #6/6OSDI 2026Oral· Operating Systems & Distributed Systems

ADAngel: Accelerating Arbitrary-Precision Quantized LLMs with Adaptive Computing Mapping

Yao Liu · Wenjie Wang · Yifei Feng · Bo Peng · Jianguo Yao · Haibing Guan

摘要

Arbitrary-Precision Quantization (APQ), which uses asymmetric bit-widths for weights and activations (e.g., W4A8), is a prevalent technique for LLM inference because of its excellent accuracy-performance balance. APQ transforms the general matrix multiplications (GEMM), the core of LLM computatio...

效率与系统评测与基准理论与学习动力学OpenReview
作者位次 #5/5PPoPP 2026Oral· Parallel & Distributed Programming

BEEMS: Boosting Machine Vision Efficiency via Computation Graph-Based Memory Smoothing

Hanjing Shen · Fangxin Liu · Jian Liu · Li Jiang · Haibing Guan

多模态效率与系统检索与知识OpenReview
作者位次 #8/8ACL 2026Poster· Natural Language Processing

Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference

Zhouxuwen · Fangxin Liu · Chao Wang · Xiao Zheng · Hao Zheng · Min He · Li Jiang · Haibing Guan

摘要

Speculative decoding accelerates autoregressive generation by letting draft tokens bypass full verification, but conventional frameworks suffer from frequent false rejections, particularly when draft models produce semantically correct but lexically divergent outputs. In this paper, we present Ca...

效率与系统推理评测与基准OpenReview 项目页

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