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检索条件"机构=Shanghai Key Lab of Intelligent Information Processing and School of Computer Science"
1766 条 记 录,以下是81-90 订阅
排序:
QoE-Aware Latency Optimization in Semantic Transmission Empowered Edge Assisted AR
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IEEE Transactions on Vehicular Technology 2025年
作者: Li, Yang Wu, Yuan Xing, Huanlai Feng, Li Wang, Tian Jia, Weijia Southwest Jiaotong University School of Computer and Artificial Intelligent Chengdu611756 China University of Macau State Key Laboratory of Internet of Things for Smart City Department of Computer and Information Science Macau China Beijing Normal University Institute of Artificial Intelligence and Future Networks Zhuhai519087 China Guangdong Key Lab of AI and Multi-Modal Data Processing BNU-HKBU United International College Zhuhai519087 China
Augmented reality (AR) enhances human perception by overlaying digital information in the real environment and can be applied to various fields such as education, healthcare, and industry. To relieve the computing pre... 详细信息
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Intrinsic Saliency Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation
arXiv
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arXiv 2025年
作者: Zheng, Xiangyu Li, Wanyun He, Songcheng Li, Xiaoqiang Zhang, We Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China School of Computer Engineering and Science Shanghai University Shanghai200433 China
Recent unsupervised video object segmentation (UVOS) methods predominantly adopt the motion-appearance paradigm, which leverages optical flow for motion cues and RGB image for appearance information to facilitate mask... 详细信息
来源: 评论
Mobility-aware Seamless Service Migration and Resource Allocation in Multi-edge IoV Systems
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IEEE Transactions on Mobile Computing 2025年
作者: Chen, Zheyi Huang, Sijin Min, Geyong Ning, Zhaolong Li, Jie Zhang, Yan Fuzhou University College of Computer and Data Science Fuzhou350116 China Ministry of Education Engineering Research Center of Big Data Intelligence Fuzhou350002 China Fuzhou University Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou350116 China University of Exeter Department of Computer Science Faculty of Environment Science and Economy ExeterEX4 4QF United Kingdom Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China Shanghai Jiao Tong University Department of Computer Science and Engineering Shanghai200240 China University of Oslo Department of Informatics Oslo0316 Norway
Mobile Edge Computing (MEC) offers low-latency and high-bandwidth support for Internet-of-Vehicles (IoV) applications. However, due to high vehicle mobility and finite communication coverage of base stations, it is ha... 详细信息
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Construction of one special minimum storage regenerating code when α=2
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science China(information sciences) 2015年 第6期58卷 116-125页
作者: LIANG SongTao LIANG WenJuan KAN HaiBin Shanghai Key Laboratory of Intelligent Information Processing School of Computer ScienceFudan University College of Computer and Information Engineering Henan University
Regenerating codes is one class of erasure codes for distributed storage. A [n, k, d, α, β] regenerating code can recover the original message from any k out of n distributed storage nodes and repair any failed node... 详细信息
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D4A: An efficient and effective defense across agnostic adversarial attacks
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Neural Networks 2025年 183卷 106938页
作者: Li, Xianxian Gan, Zeming Bai, Yan Su, Linlin Li, De Wang, Jinyan Key Lab of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin China Guangxi Key Lab of Multi-source Information Mining and Security Guangxi Normal University Guilin China School of Computer Science and Engineering Guangxi Normal University Guilin China School of Engineering and Technology University of Washington Tacoma TacomaWA United States
Recent studies show that Graph Neural Networks (GNNs) are vulnerable to structure adversarial attacks, which draws attention to adversarial defenses in graph data. Previous defenses designed heuristic defense strategi... 详细信息
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Chinese Named Entity Recognition Augmented with Lexicon Memory
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Journal of computer science & Technology 2023年 第5期38卷 1021-1035页
作者: 周奕 郑骁庆 黄萱菁 School of Computer Science Fudan UniversityShanghai 200438China Shanghai Key Laboratory of Intelligent Information Processing Shanghai 200438China
Inspired by the concept of content-addressable retrieval from cognitive science,we propose a novel fragment-based Chinese named entity recognition(NER)model augmented with a lexicon-based memory in which both characte... 详细信息
来源: 评论
Pre-trained models for natural language processing: A survey
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science China(Technological sciences) 2020年 第10期63卷 1872-1897页
作者: QIU XiPeng SUN TianXiang XU YiGe SHAO YunFan DAI Ning HUANG XuanJing School of Computer Science Fudan UniversityShanghai 200433China Shanghai Key Laboratory of Intelligent Information Processing Shanghai 200433China
Recently, the emergence of pre-trained models(PTMs) has brought natural language processing(NLP) to a new era. In this survey, we provide a comprehensive review of PTMs for NLP. We first briefly introduce language rep... 详细信息
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Ordinal distribution regression for gait-based age estimation
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science China(information sciences) 2020年 第2期63卷 21-34页
作者: Haiping ZHU Yuheng ZHANG Guohao LI Junping ZHANG Hongming SHAN Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Department of Biomedical Engineering Rensselaer Polytechnic Institute
computer vision researchers prefer to estimate age from face images because facial features provide useful information. However, estimating age from face images becomes challenging when people are distant from the cam... 详细信息
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Distributed Online Convex Optimization with Time-Varying Constraints: Tighter Cumulative Constraint Violation Bounds under Slater's Condition
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IEEE Transactions on Automatic Control 2025年
作者: Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Hong, Yiguang Chai, Tianyou Johansson, Karl H. National Key Laboratory of Autonomous Intelligent Unmanned Systems Shanghai Institute of Intelligent Science and Technology China Ministry of Education Frontiers Science Center for Intelligent Autonomous Systems China Massachusetts Institute of Technology Lab for Information & Decision Systems CambridgeMA02139 United States Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Nanyang Technological University School of Electrical and Electronic Engineering 50 Nanyang Avenue 639798 Singapore Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Sweden Digital Futures Stockholm10044 Sweden
This paper considers distributed online convex optimization with time-varying constraints. In this setting, a network of agents makes decisions at each round, and then only a portion of the loss function and a coordin... 详细信息
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UniAdapter: All-in-One Control for Flexible Video Generation
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IEEE Transactions on Circuits and Systems for Video Technology 2025年
作者: Wang, Cong Hu, Panwen Zhao, Haoyu Guo, Yuanfan Gu, Jiaxi Dong, Xiao Han, Jianhua Xu, Hang Liang, Xiaodan Chinese University of Hong Kong Hong Kong School of Science and Engineering Shenzhen China Fudan University School of Computer Science and Technology Shanghai China Huawei Noah'ark Lab Shanghai201206 China Sun Yat-Sen University School of Artificial Intelligence Zhuhai Campus Zhuhai519082 China Shenzhen Campus of Sun Yat-sen University School of Intelligent Systems Engineering Guangdong No. 66 Gongchang Road Guangming District Shenzhen518107 China Peng Cheng Laboratory and Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou510006 China
Condition-based video generation aims to create video content based on given information that describes specific subjects. However, most existing works can only utilize a single condition to guide the denoising proces... 详细信息
来源: 评论