arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

The University of Hong Kong(香港大学)

2025-11-24 至 2025-11-24 共收录 3
2511.16936 2025-11-24 cs.CV

Shape-preserving Tooth Segmentation from CBCT Images Using Deep Learning with Semantic and Shape Awareness

使用深度学习与语义和形状意识进行锥形束计算机断层扫描图像中牙齿的形状保持分割

Zongrui Ji, Zhiming Cui, Na Li, Qianhan Zheng, Miaojing Shi, Ke Deng, Jingyang Zhang, Chaoyuan Li, Xuepeng Chen, Yi Dong, Lei Ma

机构 * organization= Department of Control Science Engineering, School of Electronics Information Engineering, Tongji University , city= Shanghai , postcode= 201804 , country= China organization= Shanghai Institute of Intelligent Science Technology, Tongji University , city= Shanghai , postcode= 200092 , country= China organization= School of Biomedical Engineering \& State Key Laboratory of Advanced Medical Materials Devices, ShanghaiTech University , city= Shanghai , postcode= 201210 , country= China organization= Stomatological Hospital of Henan Province, The First Affiliated Hospital of Zhengzhou University, School Hospital of Stomatology of Zhengzhou University , city= Zhenzhou , postcode= 450052 , country= China organization= Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University , city= Hangzhou , postcode= 310016 , country= China Implant Dentistry, Faculty of Dentistry, The University of Hong Kong , city= Hong Kong SAR , postcode= 999077 , country= China organization= School of Computer Science Engineering, Southeast University , city= Nanjing , postcode= 211102 , country= China organization= Department of Oral Implantology, School Hospital of Stomatology, Shanghai Engineering Research Center of Tooth Restoration Regeneration, Tongji University , city= Shanghai , postcode= 200070 , country= China

AI总结 本文提出了一种结合语义和形状意识的深度学习方法,用于CBCT图像中牙齿的形状保持分割,通过多任务学习优化分割与形状保持,显著提升分割精度。

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2503.16991 2025-11-24 cs.LG

TRACE: Time SeRies PArameter EffiCient FinE-tuning

TRACE: 时间序列参数高效微调

Yuze Li, Wei Zhu

机构 * Shenzhen International Graduate School, Tsinghua University(清华大学深圳国际研究生院) School of Science, University of Hong Kong(香港大学科学学院)

AI总结 TRACE提出了一种时间序列参数高效微调方法,通过门控DSIC和重构预测头提升长期预测性能,适用于多种时间序列任务。

Journal ref Neurocomputing, Volume 320, 2025, Article 132098

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2503.01424 2025-11-24 cs.AI cs.CL

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems

从假设到发表:人工智能驱动研究支持系统的全面综述

Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin

机构 * Harbin Institute of Technology(哈尔滨工业大学) Peng Cheng Laboratory(鹏城实验室) The University of Hong Kong(香港大学) iFLYTEK Research(iFLYTEK研究院)

AI总结 本文综述了人工智能驱动的研究支持系统,涵盖假设生成、验证及论文发表,分析了当前挑战与未来方向,并提供了相关工具和基准的全面概述。

Comments Accepted to EMNLP 2025

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