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检索条件"机构=Unit for Data Science and Computing School of Computer Science and Information"
1385 条 记 录,以下是291-300 订阅
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval
arXiv
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arXiv 2025年
作者: Luo, Junyu Zhao, Yusheng Luo, Xiao Xiao, Zhiping Ju, Wei Shen, Li Tao, Dacheng Zhang, Ming State Key Laboratory for Multimedia Information Processing School of Computer Science Peking University Beijing China Department of Computer Science University of California Los Angeles United States Paul G. Allen School of Computer Science & Engineering University of Washington Seattle United States JD Explore Academy China College of Computing & Data Science Nanyang Technological University Singapore
Unsupervised efficient domain adaptive retrieval aims to transfer knowledge from a labeled source domain to an unlabeled target domain, while maintaining low storage cost and high retrieval efficiency. However, existi... 详细信息
来源: 评论
Exponentially Decaying Quantum Simulation Error with Noisy Devices
arXiv
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arXiv 2025年
作者: Xu, Jue Zhao, Chu Fan, Junyu Zhao, Qi QICI Quantum Information and Computation Initiative Department of Computer Science School of Computing and Data Science The University of Hong Kong Hong Kong Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China International Quantum Academy Guangdong Shenzhen China
Quantum simulation is a promising way toward practical quantum advantage, but noise in current quantum hardware poses a significant obstacle. We theoretically and numerically revealed that not only the physical error ...
来源: 评论
Artificial intelligence assisted recognition and diagnosis of Magnetically controlled capsule gastroscopy
Artificial intelligence assisted recognition and diagnosis o...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Chen, Susu Wei, Chuyu Li, Dongqi Borchert, Glen M. Yu, Zhong Lin, Jiawen Huang, Jingshan College of Computer and Data Science Fuzhou University Fuzhou China Sun Yat-sen Memorial Hospital Sun Yat-sen University Department of Gastroenterology Guangzhou China School of Information and Computer Sciences School of Social and Behavioral Sciences University of California Irvine IrvineCA United States College of Medicine University of South Alabama Department of Pharmacology MobileAL United States School of Computing College of Medicine University of South Alabama Mobile United States
To enhance the diagnostic efficiency and accuracy of gastric mucosal lesions in magnetically controlled capsule endoscopy (MCCE) images, a Jigsaw Guided Deep Feature Fusion (JG-DFF) artificial intelligence (AI)-assist... 详细信息
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Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Securely Fine-tuning Pre-trained Encoders Against Adversaria...
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IEEE Symposium on Security and Privacy
作者: Ziqi Zhou Minghui Li Wei Liu Shengshan Hu Yechao Zhang Wei Wan Lulu Xue Leo Yu Zhang Dezhong Yao Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology School of Software Engineering Huazhong University of Science and Technology Hubei Engineering Research Center on Big Data Security Hubei Key Laboratory of Distributed System Security School of Cyber Science and Engineering Huazhong University of Science and Technology School of Information and Communication Technology Griffith University
With the evolution of self-supervised learning, the pre-training paradigm has emerged as a predominant solution within the deep learning landscape. Model providers furnish pre-trained encoders designed to function as ... 详细信息
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MISA: Unveiling the Vulnerabilities in Split Federated Learning
MISA: Unveiling the Vulnerabilities in Split Federated Learn...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Minghui Li Leo Yu Zhang Hai Jin School of Cyber Science and Engineering Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Computer Science and Technology Huazhong University of Science and Technology School of Software Engineering Huazhong University of Science and Technology School of Information and Communication Technology Griffith University Cluster and Grid Computing Lab
Federated learning (FL) and split learning (SL) are prevailing distributed paradigms in recent years. They both enable shared global model training while keeping data localized on users’ devices. The former excels in...
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Enabling Protection for Critical Infrastructure through Security and Privacy in the Industrial Internet of Things  9
Enabling Protection for Critical Infrastructure through Secu...
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9th International Conference on Communication and Electronics Systems, ICCES 2024
作者: Yasotha, B. Vijayanandh, T. Thirumoorthy, P. Priya, M.Sangeetha Sasidaran, S. Prakalya, S.B. Srmist Department of Data Science and Business Systems Kattankulathur India School of Computing Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science & Engineering Avadi Tamil Nadu Chennai India Dhanalakshmi College of Engineering Department of Electrical and Electronics Engineering Chennai India Chennai India Panimalar Engineering College Department of Information Technology Chennai600123 India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Electronics and Communication Engineering Chennai India
Industrial Internet of Things can improve critical infrastructure in energy, transportation, and manufacturing. However, IIoT device and system integration opened security weaknesses that bad actors may exploit, causi... 详细信息
来源: 评论
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability
Why Does Little Robustness Help? A Further Step Towards Unde...
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IEEE Symposium on Security and Privacy
作者: Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security Hubei Key Laboratory of Distributed System Security School of Cyber Science and Engineering Huazhong University of Science and Technology School of Information and Communication Technology Griffith University School of Software Engineering Huazhong University of Science and Technology Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology
Adversarial examples for deep neural networks (DNNs) are transferable: examples that successfully fool one white-box surrogate model can also deceive other black-box models with different architectures. Although a bun... 详细信息
来源: 评论
High Performance computing Framework for Variable Selection on Genome-wide Association Studies
High Performance Computing Framework for Variable Selection ...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Liu, Xiang Liu, Xueling Diao, Jing Zheng, Mengyao Li, Jihe Wei, Dehui Xie, Qipeng Li, Xia Jiang, Linshan National University Health System Group Technology Office Singapore National University of Singapore School of Computing Singapore Peking University School Hospital of Stomatology National Center for Stomatology National Clinical Research Center for Oral Diseases Department of Preventive Dentistry China Harvard University Harvard T.H. Chan School of Public Health United States Peking University School of Software and Microelectronics China Hong Kong University of Science and Technology IoT Thrust Information Hub Guangzhou China Eth Zurich Department of Computer Science Switzerland National University of Singapore Institute of Data Science Singapore
Variable selection for genome-wide association studies (GWAS) has been a major research focus for decades. With the exponential growth of biological and biomedical data in the era of big data, scientists are confronte... 详细信息
来源: 评论
All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Model
arXiv
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arXiv 2024年
作者: Wen, Yuanbo Gao, Tao Li, Ziqi Zhang, Jing Zhang, Kaihao Chen, Ting The School of Information Engineering Chang'an University Xi'An China The School of Data Science and Artificial Intelligence Chang'an University Xi'An China The School of Computing Australian National University CanberraACT Australia The School of Computer Science and Technology Harbin Institute of Technology Shenzhen China
Existing approaches for all-in-one weather-degraded image restoration suffer from inefficiencies in leveraging degradation-aware priors, resulting in sub-optimal performance in adapting to different weather conditions... 详细信息
来源: 评论
AUCSeg: AUC-oriented pixel-level long-tail semantic segmentation  24
AUCSeg: AUC-oriented pixel-level long-tail semantic segmenta...
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Proceedings of the 38th International Conference on Neural information Processing Systems
作者: Boyu Han Qianqian Xu Zhiyong Yang Shilong Bao Peisong Wen Yangbangyan Jiang Qingming Huang Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS and School of Computer Science and Tech. University of Chinese Academy of Sciences Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS and Peng Cheng Laboratory School of Computer Science and Tech. University of Chinese Academy of Sciences School of Computer Science and Tech. University of Chinese Academy of Sciences and Key Lab. of Intelligent Information Processing Institute of Computing Technology CAS and Key Laboratory of Big Data Mining and Knowledge Management CAS
The Area Under the ROC Curve (AUC) is a well-known metric for evaluating instance-level long-tail learning problems. In the past two decades, many AUC optimization methods have been proposed to improve model performan...
来源: 评论