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检索条件"机构=School of Computer Science and Engineering Key Laboratory of Computer Network"
22415 条 记 录,以下是1-10 订阅
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Partial multi-label learning via label-specific feature corrections
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science China(Information sciences) 2025年 第3期68卷 95-109页
作者: Jun-Yi HANG Min-Ling ZHANG School of Computer Science and Engineering Southeast University Key Laboratory of Computer Network and Information Integration(Southeast University) Ministry of Education
Partial multi-label learning(PML) allows learning from rich-semantic objects with inaccurate annotations, where a set of candidate labels are assigned to each training example but only some of them are valid. Existi... 详细信息
来源: 评论
Residual diverse ensemble for long-tailed multi-label text classification
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science China(Information sciences) 2024年 第11期67卷 92-105页
作者: Jiangxin SHI Tong WEI Yufeng LI National Key Laboratory for Novel Software Technology Nanjing University School of Artificial Intelligence Nanjing University School of Computer Science and Engineering Southeast University Key Laboratory of Computer Network and Information Integration Southeast UniversityMinistry of Education
Long-tailed multi-label text classification aims to identify a subset of relevant labels from a large candidate label set, where the training datasets usually follow long-tailed label distributions. Many of the previo... 详细信息
来源: 评论
Foundation models for topic modeling: a case study
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Frontiers of computer science 2025年 第2期19卷 129-131页
作者: Han ZENG Jia-Ming SUN Chun-Shu LI Zhuying LI Tong WEI School of Computer Science and Engineering Southeast UniversityNanjing 210096China Key Laboratory of Computer Network and Information Integration Southeast UniversityNanjing 210096China
1 Introduction In Natural Language Processing(NLP),topic modeling is a class of methods used to analyze and explore textual corpora,i.e.,to discover the underlying topic structures from text and assign text pieces to ... 详细信息
来源: 评论
Formal Verification of Data Modifications in Cloud Block Storage Based on Separation Logic
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Chinese Journal of Electronics 2024年 第1期33卷 112-127页
作者: Bowen ZHANG Zhao JIN Hanpin WANG Yongzhi CAO Key Laboratory of High Confidence Software Technologies (MOE) School of Computer Science Peking University School of Computer and Artificial Intelligence Zhengzhou University School of Computer Science and Cyber Engineering Guangzhou University
Cloud storage is now widely used, but its reliability has always been a major concern. Cloud block storage(CBS) is a famous type of cloud storage. It has the closest architecture to the underlying storage and can prov... 详细信息
来源: 评论
Method and Practice of Trusted Embedded Computing and Data Transmission Protection Architecture Based on Android
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Chinese Journal of Electronics 2024年 第3期33卷 623-634页
作者: Yichuan WANG Wen GAO Xinhong HEI Yanning DU School of Computer Science and Engineering Xi'an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology
In recent years,the rapid development of Internet technology has constantly enriched people's daily life and gradually changed from the traditional computer terminal to the mobile *** with it comes the security pr... 详细信息
来源: 评论
YOLO-CORE: Contour Regression for Efficient Instance Segmentation
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Machine Intelligence Research 2023年 第5期20卷 716-728页
作者: Haoliang Liu Wei Xiong Yu Zhang School of Computer Science and Engineering and the Key Laboratory of Computer Network and Information Integration(Ministry of Education) Southeast UniversityNanjing 211189China
Instance segmentation has drawn mounting attention due to its significant ***,high computational costs have been widely acknowledged in this domain,as the instance mask is generally achieved by pixel-level *** this pa... 详细信息
来源: 评论
An infrastructure software perspective toward computation offloading between executable specifications and foundation models
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science China(Information sciences) 2025年 第4期68卷 380-382页
作者: Dezhi RAN Mengzhou WU Yuan CAO Assaf MARRON David HAREL Tao XIE Key Laboratory of High Confidence Software Technologies (PKU) Ministry of Education School of Computer SciencePeking University School of Electronics Engineering and Computer Science Peking University Department of Computer Science and Applied Mathematics Weizmann Institute of Science
Foundation models(FMs) [1] have revolutionized software development and become the core components of large software systems. This paradigm shift, however, demands fundamental re-imagining of software engineering theo...
来源: 评论
AsyCo: an asymmetric dual-task co-training model for partial-label learning
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science China(Information sciences) 2025年 第5期68卷 332-347页
作者: Beibei LI Yiyuan ZHENG Beihong JIN Tao XIANG Haobo WANG Lei FENG College of Computer Science Chongqing University State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences School of Software Technology Zhejiang University School of Computer Science and Engineering Nanyang Technological University
Partial-label learning(PLL) is a typical problem of weakly supervised learning, where each training instance is annotated with a set of candidate labels. Self-training PLL models achieve state-of-the-art performance b... 详细信息
来源: 评论
MindScore: quantifying human preference for text-to-image generation through multi-view lens
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science China(Information sciences) 2025年 第6期68卷 72-85页
作者: Yiqi TONG Jiarui ZHANG Shaohang WEI Wei GUO Fuzhen ZHUANG Deqing WANG Xi YANG Richeng XUAN School of Artificial Intelligence Beihang University School of Computer Science and Engineering Beihang University Department of Computer Science and Engineering Shanghai Jiao Tong University School of Computer Science Peking University State Key Laboratory of Complex & Critical Software Environment Beihang University Beijing Academy of Artificial Intelligence
Understanding and quantifying the capabilities of foundation models, particularly in text-to-image(T2I) generation, is crucial for verifying their alignment with human expectations and practical requirements. However,... 详细信息
来源: 评论
DMF: A Deep Multimodal Fusion-Based network Traffic Classification Model
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computers, Materials & Continua 2025年 第5期83卷 2267-2285页
作者: Xiangbin Wang Qingjun Yuan Weina Niu Qianwei Meng Yongjuan Wang Chunxiang Gu Henan Key Laboratory of Network Cryptography Technology Information Engineering UniversityZhengzhou450001China School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China
With the rise of encrypted traffic,traditional network analysis methods have become less effective,leading to a shift towards deep learning-based *** these,multimodal learning-based classification methods have gained ... 详细信息
来源: 评论