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Lei Qi

AAAI 2026×3CVPR 2026×2ACL 2026ICML 2026多模态效率与系统推理可解释性检索与知识
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0 一作 · 7 篇 · AAAI 2026 / CVPR 2026 / ACL 2026 / ICML 2026

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2026 顶会论文

7
作者位次 #2/4ICML 2026Poster· Deep Learning / Everything Else

Energy-Structured Low-Rank Adaptation for Continual Learning

Longhua Li · Lei Qi · Qi Tian · Xin Geng

效率与系统OpenReview
作者位次 #7/8ACL 2026Poster· Natural Language Processing

C hat HLS : Towards Systematic Design Automation and Optimization for High-Level Synthesis

Runkai Li · Jia Xiong · Xiuyuan He · Jieru Zhao · Jiaqi Lv · Haowen Fang · Lei Qi · Xi Wang

摘要

High-Level Synthesis (HLS) improves IC development productivity by enabling hardware design from C-like languages. However, strict coding constraints and design-specific optimizations limit its widespread adoption. While recent efforts employ large language models (LLMs) to assist HLS design, the...

智能体与工具推理可解释性OpenReview 项目页
作者位次 #2/3AAAI 2026Poster· Artificial Intelligence

Stratified Knowledge-Density Super-Network for Scalable Vision Transformers

Longhua Li · Lei Qi · Xin Geng

多模态检索与知识OpenReview

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