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检索条件"机构=School of Data Science and Computer Engineering"
10713 条 记 录,以下是601-610 订阅
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AegonKV: A High Bandwidth, Low Tail Latency, and Low Storage Cost KV-Separated LSM Store with SmartSSD-based GC Offloading  23
AegonKV: A High Bandwidth, Low Tail Latency, and Low Storage...
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23rd USENIX Conference on File and Storage Technologies, FAST 2025
作者: Duan, Zhuohui Feng, Hao Liu, Haikun Liao, Xiaofei Jin, Hai Li, Bangyu National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China
The key-value separation is renowned for its significant mitigation of the write amplification inherent in traditional LSM trees. However, KV separation potentially increases performance overhead in the management of ... 详细信息
来源: 评论
A Hybrid Deep Learning Framework for Stock Price Forecasting with Sentimental Analysis  13
A Hybrid Deep Learning Framework for Stock Price Forecasting...
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13th International Conference on System Modeling and Advancement in Research Trends, SMART 2024
作者: Banoth, Shobhan Yadala, Sucharitha Vice President-Data/Information Management Lead Engineer Citi Bank United States School of Computer Science and Engineering Vnr Vignana Jyothi Institute of Engineering & Technology Telangana Hyderabad India
Social media electronic word-of-mouth data affects stock market confidence and trading. As a result, stock market sentiment research of comments is essential for stock market forecasting. Unfortunately, English is bec... 详细信息
来源: 评论
data-Driven Power Flow Estimation for MVDC Distribution Systems Based on Physics-Embedded FCN
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IEEE Transactions on Smart Grid 2025年 第4期16卷 2816-2829页
作者: Sun, Pingyang Wu, Rongcheng Shen, Zhiwei Wang, Hongyi Li, Gen Khalid, Muhammad Konstantinou, Georgios School of Electrical Engineering and Telecommunications UNSW Sydney Australia University of Technology Sydney Data Science Institute Australia Aalborg University Department of AAU energy Denmark Energy Technology and Computer Science Section Department of Engineering Technology Ballerup2750 Denmark King Fahd University of Petroleum and Minerals Electrical Engineering Department Interdisciplinary Research Center for Sustainable Energy Systems Dhahran31261 Saudi Arabia
Maintaining high prediction accuracy with varying grid topologies poses a significant challenge to adopting neural network (NN)-based approaches for power flow (PF) estimation in medium-voltage direct current (MVDC) d... 详细信息
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INFOCON: CONCEPT DISCOVERY WITH GENERATIVE AND DISCRIMINATIVE INFORMATIVENESS  12
INFOCON: CONCEPT DISCOVERY WITH GENERATIVE AND DISCRIMINATIV...
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12th International Conference on Learning Representations, ICLR 2024
作者: Liu, Ruizhe Luo, Qian Yang, Yanchao HKU Musketeers Foundation Institute of Data Science The University of Hong Kong Hong Kong School of Electronics Engineering and Computer Science Peking University China Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong
We focus on the self-supervised discovery of manipulation concepts that can be adapted and reassembled to address various robotic tasks. We propose that the decision to conceptualize a physical procedure should not de... 详细信息
来源: 评论
A IoT Edge Advanced VANET Technique for Vehicle Communication and Improve Safety in Hill Station Critical Scenario  8
A IoT Edge Advanced VANET Technique for Vehicle Communicatio...
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8th IEEE International Conference on science, Technology, engineering and Mathematics, ICONSTEM 2023
作者: Murali, N. Beulah David, D. Saveetha School of Engineering Simats Department of Computer Science and Engineering Tamilnadu Chennai India Saveetha School of Engineering Simats Institute of Information Technology Department of Data Analytics Tamilnadu Chennai India
The safety of the vehicles is given great importance by advanced intelligent transportation systems. We are here to make sure that swift transit vehicles and infrastructure communicate with one other quickly. The majo... 详细信息
来源: 评论
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation  39
DuSSS: Dual Semantic Similarity-Supervised Vision-Language M...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Pan, Qingtao Qiao, Wenhao Lou, Jingjiao Ji, Bing Li, Shuo School of Control Science and Engineering Shandong University Jinan China Key Laboratory of Machine Intelligence and System Control Ministry of Education China Department of Computer and Data Science Department of Biomedical Engineering Case Western Reserve University United States
Semi-supervised medical image segmentation (SSMIS) uses consistency learning to regularize model training, which alleviates the burden of pixel-wise manual annotations. However, it often suffers from error supervision... 详细信息
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TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection  24
TROPICAL: Transformer-Based Hypergraph Learning for Camoufla...
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24th IEEE International Conference on data Mining, ICDM 2024
作者: Haghighi, Venus Soltani, Behnaz Shabani, Nasrin Wu, Jia Zhang, Yang Yao, Lina Sheng, Quan Z. Yang, Jian School of Computing Macquarie University SydneyNSW2109 Australia School of Computer Science and Engineering University of New South Wales NSW Australia CSIRO's Data61 Australia
Graph-based fraud detection has attracted increasing attention in recent years, reflecting its growing potential in mitigating sophisticated fraudulent activities. The main objective of graph-based fraud detection is ... 详细信息
来源: 评论
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs
HTCCN: Temporal Causal Convolutional Networks with Hawkes Pr...
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2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024
作者: Chen, Tingxuan Long, Jun Yang, Liu Wang, Zidong Wang, Yongheng Jin, Xiongnan School of Computer Science and Engineering Central South University Hunan China Big Data Institute Central South University Hunan China Zhejiang lab Zhejiang China
Temporal knowledge graphs (TKGs) serve as powerful tools for storing and modeling dynamic facts, holding immense potential in anticipating future facts. Since future facts are inherently unknowable, effectively modeli... 详细信息
来源: 评论
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalization  30
FedMCP: Parameter-Efficient Federated Learning with Model-Co...
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30th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2024
作者: Zhao, Qianyi Qu, Chen Chen, Cen Fan, Mingyuan Wang, Yanhao East China Normal University School of Data Science and Engineering Shanghai China University of Massachusetts Amherst College of Information & Computer Sciences AmherstMA United States
With increasing concerns and regulations on data privacy, fine-tuning pretrained language models (PLMs) in federated learning (FL) has become a common paradigm for NLP tasks. Despite being extensively studied, the exi... 详细信息
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Dynamic Provision of Workload Allocation on Cloud Resources Using Machine Learning Techniques
Dynamic Provision of Workload Allocation on Cloud Resources ...
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2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023
作者: Saravanakumar, C. Prakash, M. Govindaraj, V. Government Polytechnic College Department of Computer Engineering Chennai600012 India Vellore Institute of Technology School of Computer Science and Engineering Vellore632 014 India MPHASIS Ltd SME- Data Science Chennai India
Cloud tasks are scheduled to the respective VM for execution. Scheduling process selects the resources and allocates the requesting task to them. The resources are selected in advance and then the request is forwarded... 详细信息
来源: 评论