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检索条件"机构=Services Computing Technology and System Lab Cluster and Grid Computing"
592 条 记 录,以下是501-510 订阅
排序:
OCDB: REVISITING CAUSAL DISCOVERY WITH A COMPREHENSIVE BENCHMARK AND EVALUATION FRAMEWORK
arXiv
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arXiv 2024年
作者: Zhou, Wei Huang, Hong Zhang, Guowen Shi, Ruize Yin, Kehan Lin, Yuanyuan Liu, Bang Huazhong University of Science and Technology China DIRO Université de Montréal & Mila Canada CIFAR AI Chair Canada The 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 Wuhan430074 China
Large language models (LLMs) have excelled in various natural language processing tasks, but challenges in interpretability and trustworthiness persist, limiting their use in high-stakes fields. Causal discovery offer... 详细信息
来源: 评论
Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantees via DNN Re-alignment
arXiv
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arXiv 2023年
作者: Wu, Jing Wang, Lin Jin, Qirui Liu, Fangming The National Engineering Research Center for Big Data Technology and System The Services Computing Technology and System Lab Cluster and Grid Computing Lab in The School of Computer Science and Technology Huazhong University of Science and Technology 1037 Luoyu Road Wuhan430074 China Paderborn University TU Darmstadt Germany Peng Cheng Laboratory Huazhong University of Science and Technology China
Deep neural networks (DNNs) have been widely adopted for various mobile inference tasks, yet their ever-increasing computational demands are hindering their deployment on resource-constrained mobile devices. Hybrid de... 详细信息
来源: 评论
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation
arXiv
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arXiv 2024年
作者: Li, Haoyang Chen, Wei Zhang, Xiaojin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China School of Software Engineering Huazhong University of Science and Technology Wuhan430074 China
Gradient leakage attacks pose a significant threat to the privacy guarantees of federated learning. While distortion-based protection mechanisms are commonly employed to mitigate this issue, they often lead to notable... 详细信息
来源: 评论
Can Large Language Models Serve as Evaluators for Code Summarization?
arXiv
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arXiv 2024年
作者: Wu, Yang Wan, Yao Chu, Zhaoyang Zhao, Wenting Liu, Ye Zhang, Hongyu Shi, Xuanhua Yu, Philip S. Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Big Data and Social Computing Lab University of Illinois Chicago Chicago United States Salesforce Research Palo Alto United States School of Big Data and Software Engineering Chongqing University Chongqing China
Code summarization facilitates program comprehension and software maintenance by converting code snippets into natural-language descriptions. Over the years, numerous methods have been developed for this task, but a k... 详细信息
来源: 评论
MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis
MalScan: Fast Market-Wide Mobile Malware Scanning by Social-...
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IEEE International Conference on Automated Software Engineering (ASE)
作者: Yueming Wu Xiaodi Li Deqing Zou Wei Yang Xin Zhang Hai Jin Cluster and Grid Computing Lab Services Computing Technology and System Lab National Engineering Research Center for Big Data Technology and System School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China University of Texas at Dallas Shenzhen Huazhong University of Science and Technology Research Institute School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
Malware scanning of an app market is expected to be scalable and effective. However, existing approaches use either syntax-based features which can be evaded by transformation attacks or semantic-based features which ... 详细信息
来源: 评论
Cross-Language Binary-Source Code Matching with Intermediate Representations
arXiv
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arXiv 2022年
作者: Gui, Yi Wan, Yao Zhang, Hongyu Huang, Huifang Sui, Yulei Xu, Guandong Shao, Zhiyuan Jin, Hai 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 Wuhan China The University of Newcastle Australia School of Mathematics and Statistics Huazhong University of Science and Technology Wuhan China School of Computer Science University of Technology Sydney Australia
Binary-source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse engineering and vulnerability assessment. Currently, several approaches ha... 详细信息
来源: 评论
M2CF-Net: A Multi-Resolution and Multi-Scale Cross Fusion Network for Segmenting Pathology Lesion of the Focal Lymphocytic Sialadenitis
M2CF-Net: A Multi-Resolution and Multi-Scale Cross Fusion Ne...
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Medical Artificial Intelligence (MedAI), IEEE International Conference on
作者: Hao Han Feng Lu Yanhan Deng Xiaofang Luo Hai Jin Wei Tu Xia Xie 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 Wuhan China Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China School of Computer Science and Technology Hainan University Haikou China
In the medical realm, the pivotal role of pathological Whole Slide Images (WSIs) in detecting cancer, tracking disease progression, and evaluating treatment efficacy is indisputable. Nevertheless, the identification a...
来源: 评论
Sysevr: A framework for using deep learning to detect software vulnerabilities
arXiv
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arXiv 2018年
作者: Li, Zhen Zou, Deqing Xu, Shouhuai Jin, Hai Zhu, Yawei Chen, Zhaoxuan Services Computing Technology and System Lab Cluster and Grid Computing Lab Big Data Security Engineering Research Center School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China Department of Computer Science University of Texas at San Antonio San AntonioTX78249 United States
The detection of software vulnerabilities (or vulnerabilities for short) is an important problem that has yet to be tackled, as manifested by many vulnerabilities reported on a daily basis. This calls for machine lear... 详细信息
来源: 评论
Continual learning via inter-task synaptic mapping
arXiv
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arXiv 2021年
作者: Fubing, Mao Weiwei, Weng Pratama, Mahardhika Kien Yee, Edward Yapp 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 Wuhan430074 China School of Computer Science and Engineering Nanyang Technological University Singapore Singapore Singapore Institute of Manufacturing Technology A*Star Singapore Singapore
Learning from streaming tasks leads a model to catastrophically erase unique experiences it absorbs from previous episodes. While regularization techniques such as LWF, SI, EWC have proven themselves as an effective a... 详细信息
来源: 评论
FedMoS: Taming Client Drift in Federated Learning with Double Momentum and Adaptive Selection
FedMoS: Taming Client Drift in Federated Learning with Doubl...
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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies
作者: Xiong Wang Yuxin Chen Yuqing Li Xiaofei Liao Hai Jin Bo Li 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 Wuhan China School of Cyber Science and Engineering Wuhan University Wuhan China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong
Federated learning (FL) enables massive clients to collaboratively train a global model by aggregating their local updates without disclosing raw data. Communication has become one of the main bottlenecks that prolong...
来源: 评论