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检索条件"机构=Key Lab. of Computer Network and Information Integration"
171 条 记 录,以下是61-70 订阅
排序:
Disentangled High Quality Salient Object Detection
Disentangled High Quality Salient Object Detection
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International Conference on computer Vision (ICCV)
作者: Lv Tang Bo Li Yijie Zhong Shouhong Ding Mofei Song Youtu Lab Tencent Shanghai China The School of Computer Science and Engineering Southeast University Nanjing China The Key Lab of Computer Network and Information Integration (Ministry of Education) Southeast University Nanjing China
Aiming at discovering and locating most distinctive objects from visual scenes, salient object detection (SOD) plays an essential role in various computer vision systems. Coming to the era of high resolution, SOD meth... 详细信息
来源: 评论
DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV
IEEE Transactions on Green Communications and Networking
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IEEE Transactions on Green Communications and networking 2025年
作者: Zhang, Zheng Wu, Qiong Fan, Pingyi Cheng, Nan Chen, Wen Letaief, Khaled B. Jiangnan University School of Internet of Things Engineering Wuxi214122 China Tsinghua University Beijing National Research Center for Information Science and Technology Department of Electronic Engineering State Key laboratory of Space Network and Communications Tsinghua University Beijing100084 China Xidian University State Key Lab. of ISN School of Telecom-munications Engineering Xi'an710071 China Shanghai Jiao Tong University Department of Electronic Engineering Shanghai200240 China Department of Electrical and Computer Engineer-ing Hong Kong
To address communication latency issues, the Third Generation Partnership Project (3GPP) has defined Cellular-Vehicle to Everything (C-V2X) technology, which includes Vehicle-to-Vehicle (V2V) communication for direct ... 详细信息
来源: 评论
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
arXiv
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arXiv 2022年
作者: Duan, Yue Zhao, Zhen Qi, Lei Wang, Lei Zhou, Luping Shi, Yinghuan Gao, Yang The National Key Laboratory for Novel Software Technology The National Institute of Healthcare Data Science Nanjing University Nanjing210023 China The School of Electrical and Information Engineering The University of Sydney SydneyNSW2006 Australia The School of Computer Science and Engineering The Key Lab of Computer Network and Information Integration Ministry of Education Southeast University Nanjing211189 China The School of Computing and Information Technology University of Wollongong WollongongNSW2522 Australia
The core issue in semi-supervised learning (SSL) lies in how to effectively leverage unlab.led data, whereas most existing methods tend to put a great emphasis on the utilization of high-confidence samples yet seldom ... 详细信息
来源: 评论
A Lightening Fine-grained Access Control Scheme Supporting Full Policy Hiding in Cloud Storage
A Lightening Fine-grained Access Control Scheme Supporting F...
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International Conference on Parallel and Distributed Systems (ICPADS)
作者: Jiaoli Shi Chao Hu Shimao Yao Zhuolin Mei Bin Wu Hui Li School of Computer and Big Data Jiujiang Univ. Jiujiang China School of Software IoT Engineering Jiangxi Univ. of Finance and Economics Nanchang China Jiujiang Key Lab. of Network and Information Security Jiujiang China School of Computer and Big Data Jiujiang University Jiujiang China School of Elec. and Comp. Engineering Peking University Shenzhen China
Efficiency, security, and flexibility are difficult to balance in a full policy hiding CP-ABE scheme. This paper creatively converts the privacy matching problem of access policy and a user’s private key to the priva...
来源: 评论
Veca: A High-Performance Consensus Algorithm for State Machine Replication  4th
Veca: A High-Performance Consensus Algorithm for State Machi...
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4th International Conference on Human Centered Computing, HCC 2018
作者: Yan, Xiangguang Wang, Yun Southeast University Nanjing China Key Lab of Computer Network and Information Integration MOE Nanjing China
Consensus algorithm is fundamental for distributed systems. It requires high throughput, low latency and high availab.lity. However, to the best of our knowledge, these requirements cannot be satisfied well at the sam... 详细信息
来源: 评论
Hybrid Attentional Memory network for Computational drug repositioning
arXiv
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arXiv 2020年
作者: He, Jieyue Yang, Xinxing Gong, Zhuo Zamit, Lbrahim School of Computer Science and Engineering Key Lab of Computer Network & Information Integration MOE Southeast University Nanjing210018 China
Background: Drug repositioning is designed to discover new uses of known drugs, which is an important and efficient method of drug discovery. Researchers only use one certain type of Collab.rative Filtering (CF) model... 详细信息
来源: 评论
Better Pseudo-lab.l: Joint Domain-aware lab.l and Dual-classifier for Semi-supervised Domain Generalization
arXiv
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arXiv 2021年
作者: Wang, Ruiqi Qi, Lei Shi, Yinghuan Gao, Yang State Key Laboratory for Novel Software Technology Nanjing University Nanjing China National Institute of Healthcare Data Science Nanjing University Nanjing China School of Computer Science and Engineering Key Lab of Computer Network and Information Integration Ministry of Education Southeast University Nanjing China
With the goal of directly generalizing trained model to unseen target domains, domain generalization (DG), a newly proposed learning paradigm, has attracted considerable attention. Previous DG models usually require a... 详细信息
来源: 评论
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
arXiv
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arXiv 2023年
作者: Huang, Zhuo Zhu, Miaoxi Xia, Xiaobo Shen, Li Yu, Jun Gong, Chen Han, Bo Du, Bo Liu, Tongliang Syndey Ai Centre The University of Sydney Australia National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China Jd Explore Academy China Department of Automation University of Science and Technology of China China Key Lab. of Intelligent Percept. and Syst. for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology China Department of Computer Science Hong Kong Baptist University Hong Kong
Robust generalization aims to tackle the most challenging data distributions which are rare in the training set and contain severe noises, i.e., photon-limited corruptions. Common solutions such as distributionally ro... 详细信息
来源: 评论
PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X
arXiv
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arXiv 2025年
作者: Wu, Qiong Ji, Maoxin Fan, Pingyi Wang, Kezhi Cheng, Nan Chen, Wen Letaief, Khaled B. The School of Internet of Things Engineering Jiangnan University Wuxi214122 China The Department of Electronic Engineering State Key laboratory of Space Network and Communications Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China The Department of Computer Science Brunel University Middlesex LondonUB8 3PH United Kingdom The State Key Lab. of ISN School of Telecommunications Engineering Xidian University Xi’an710071 China The Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Hong Kong
On-ramp merging presents a critical challenge in autonomous driving, as vehicles from merging lanes need to dynamically adjust their positions and speeds while monitoring traffic on the main road to prevent collisions... 详细信息
来源: 评论
Multi-lab.l Classification with High-rank and High-order lab.l Correlations
arXiv
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arXiv 2022年
作者: Si, Chongjie Jia, Yuheng Wang, Ran Zhang, Min-Ling Feng, Yanghe Qu, Chongxiao The Chien-Shiung Wu College Southeast University Nanjing210096 China The MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai200240 China The School of Computer Science and Engineering Southeast University Nanjing210096 China Ministry of Education China School of Computing & Information Sciences Caritas Institute of Higher Education Hong Kong The Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education China The School of Mathematical Science Shenzhen University Shenzhen518060 China Shenzhen Key Laboratory of Advanced Machine Learning and Applications Shenzhen University Shenzhen518060 China The College of Systems Engineering National University of Defense Technology China The 52nd Research Institute of China Electronics Technology Group China
Exploiting lab.l correlations is important to multi-lab.l classification. Previous methods capture the high-order lab.l correlations mainly by transforming the lab.l matrix to a latent lab.l space with low-rank matrix... 详细信息
来源: 评论