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检索条件"机构=Cloud Computing and Distributed Systems Laboratory School of Computing and Information Systems"
1211 条 记 录,以下是181-190 订阅
排序:
Efficient Inference of Markov Logic Network for Link Prediction
Efficient Inference of Markov Logic Network for Link Predict...
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IEEE Global Conference on Consumer Electronics (GCCE)
作者: Zhongbin Li Liang Duan Kun Yue School of Information Science and Engineering Yunnan University Kunming China Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan University Kunming China
Link prediction has achieved great success on ubiquitous graph-based applications, which usually contain multiple types of connections. The heterogeneity of networks introduces complexities in two aspects: representat...
来源: 评论
Delegatable Multi-Authority Attribute-based Anonymous Credentials
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IEEE Transactions on cloud computing 2025年
作者: Sun, Meng Lai, Junzuo Mo, Xiaohan Wu, Chi Li, Peng Chu, Cheng-Kang Deng, Robert H. Jinan University College of Cyber Security Guangzhou510632 China Jinan University College of Information Science and Technology Guangzhou510632 China Tsinghua University Institute of Trustworthy Networks and Systems School of Software Beijing100084 China Digital Identity and Trustworthiness Laboratory Huawei Singapore 138588 Singapore Singapore Management University School of Computing and Information Systems 188065 Singapore
In cloud computing, users need to authenticate to access various resources. Attribute-based anonymous credentials (ABCs) provide a tool for privacy-preserving authentication, allowing users to prove possession of a se... 详细信息
来源: 评论
TIME-INDEPENDENT SPIKING NEURON VIA MEMBRANE POTENTIAL ESTIMATION FOR EFFICIENT SPIKING NEURAL NETWORKS
arXiv
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arXiv 2024年
作者: Chen, Hanqi Yu, Lixing Zhan, Shaojie Yao, Penghui Shao, Jiankun School of Information Science and Engineering Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan China State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing China
The computational inefficiency of spiking neural networks (SNNs) is primarily due to the sequential updates of membrane potential, which becomes more pronounced during extended encoding periods compared to artificial ... 详细信息
来源: 评论
VGRISys: A Vision-Guided Robotic Intelligent System for Autonomous Instrument Calibration
VGRISys: A Vision-Guided Robotic Intelligent System for Auto...
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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023
作者: Li, Zhenqi Wang, Hewei Li, Yijie Dev, Soumyabrata Zuo, Guoyu Beijing University of Technology Beijing-Dublin International College Beijing100124 China University College Dublin School of Computer Science Dublin Ireland Beijing University of Technology Faculty of Information Technology Beijing100124 China Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing100124 China
With the increasing sophistication of musical instruments and the importance of precise tuning, a novel and efficient approach to instrument calibration is of significant necessity. This paper presents VGRISys, an inn...
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Learning Transferable Negative Prompts for Out-of-Distribution Detection
arXiv
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arXiv 2024年
作者: Li, Tianqi Pang, Guansong Bai, Xiao Miao, Wenjun Zheng, Jin School of Computer Science and Engineering State Key Laboratory of Complex & Critical Software Environment Jiangxi Research Institute Beihang University China School of Computing and Information Systems Singapore Management University Singapore
Existing prompt learning methods have shown certain capabilities in Out-of-Distribution (OOD) detection, but the lack of OOD images in the target dataset in their training can lead to mismatches between OOD images and... 详细信息
来源: 评论
Conditional diffusion guided by part-level latent for dental crown point cloud generation
Conditional diffusion guided by part-level latent for dental...
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2024 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2024
作者: Zhang, Ao Shen, Zhen Yang, Jian Fang, Qihang Xiong, Gang Dong, Xisong State Key Laboratory of Multimodal Artificial Intelligence System Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing101408 China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan523808 China
Due to the scarcity of point cloud datasets in a specific domain, utilizing generative model approaches becomes essential for data augmentation. Diffusion models have demonstrated impressive capabilities in data gener... 详细信息
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Data-Driven Analysis of Skin Cancer Classification with Convolutional Neural Networks for E-Health Applications
Data-Driven Analysis of Skin Cancer Classification with Conv...
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2024 IEEE Global Communications Conference, GLOBECOM 2024
作者: Ahmed, Imran Ahmad, Misbah Chehri, Abdellah Jeon, Gwanggil Anglia Ruskin University School of Computing and Information Science Cambridge United Kingdom Hartpury University Animal and Agriculture Department Gloucester United Kingdom University of the West of England Centre for Machine Vision Bristol Robotics Laboratory Bristol United Kingdom Department of Mathematics and Computer Science Canada Incheon National University Department of Embedded Systems Engineering Incheon Korea Republic of
This study explores the effectiveness of Convolutional Neural Networks (CNNs) in automatically classifying skin cancer for e-health applications. The trained model showcases impressive performance by leveraging the HA... 详细信息
来源: 评论
FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models
arXiv
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arXiv 2024年
作者: Xu, Chuyang Liu, Zhongxin Ren, Xiaoxue Zhang, Gehao Liang, Ming Lo, David State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou310027 China Ant Group China School of Computing and Information Systems Singapore Management University 188065 Singapore
Fault localization (FL) targets identifying bug locations within a software system, which can enhance debugging efficiency and improve software quality. Due to the impressive code comprehension ability of Large Langua... 详细信息
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tSS-BO: Scalable Bayesian Optimization for Analog Circuit Sizing via Truncated Subspace Sampling
tSS-BO: Scalable Bayesian Optimization for Analog Circuit Si...
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Design, Automation and Test in Europe Conference and Exhibition
作者: Tianchen Gu Jiaqi Wang Zhaori Bi Changhao Yan Fan Yang Yajie Qin Tao Cui Xuan Zeng State Key Laboratory of Integrated Chips and Systems School of Microelectronics Fudan University Shanghai China State Key Laboratory of Scientific and Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences & University of Chinese Academy of Sciences Beijing China State Key Laboratory of Integrated Chips and Systems School of Information Science and Technology Fudan University Shanghai China
We propose a novel scalable Bayesian optimization method with truncated subspace sampling (tSS-BO) to tackle high-dimensional optimization challenges for large-scale analog circuit sizing. To address the high-dimensio... 详细信息
来源: 评论
Improving accuracy-robustness trade-off via pixel reweighted adversarial training  24
Improving accuracy-robustness trade-off via pixel reweighted...
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Proceedings of the 41st International Conference on Machine Learning
作者: Jiacheng Zhang Feng Liu Dawei Zhou Jingfeng Zhang Tongliang Liu School of Computing and Information Systems The University of Melbourne State Key Laboratory of Integrated Services Networks Xidian University School of Computer Science The University of Auckland / RIKEN AIP Sydney AI Centre The University of Sydney
Adversarial training (AT) trains models using adversarial examples (AEs), which are natural images modified with specific perturbations to mislead the model. These perturbations are constrained by a predefined perturb...
来源: 评论