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Suppressing the Interference Within a Datacenter: Theorems, Metric and Strategy 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2024, 卷号: 35, 期号: 5, 页码: 732-750
作者:  Liu, Yuhang;  Deng, Xin;  Zhou, Jiapeng;  Chen, Mingyu;  Bao, Yungang
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Interference  Tail  Quality of service  Entropy  Throughput  Cloud computing  Resource management  Datacenter  high-throughput  performance uncertainty  quality of services (QoS)  resource contention  
Text2Reaction : Enabling Reactive Task Planning Using Large Language Models 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 5, 页码: 4003-4010
作者:  Yang, Zejun;  Ning, Li;  Wang, Haitao;  Jiang, Tianyu;  Zhang, Shaolin;  Cui, Shaowei;  Jiang, Hao;  Li, Chunpeng;  Wang, Shuo;  Wang, Zhaoqi
收藏  |  浏览/下载：4/0  |  提交时间：2024/05/20
Planning under uncertainty  AI-based methods  learning from demonstration  
Hierarchical image-to-image translation with nested distributions modeling 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 146, 页码: 12
作者:  Qiao, Shishi;  Wang, Ruiping;  Shan, Shiguang;  Chen, Xilin
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Image-to-image translation  Distribution modeling  Information entropy  Generative adversarial network  
Exploiting global contextual information for document-level named entity recognition 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 284, 页码: 10
作者:  Yu, Yiting;  Wang, Zanbo;  Wei, Wei;  Zhang, Ruihan;  Mao, Xian-Ling;  Feng, Shanshan;  Wang, Fei;  He, Zhiyong;  Jiang, Sheng
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Named entity recognition  Global contextual information  Graph neural network  Epistemic uncertainty  
Distributed Network Telemetry With Resource Efficiency and Full Accuracy 期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2024, 页码: 16
作者:  Sun, Haifeng;  Huang, Qun;  Lee, Patrick P. C.;  Bai, Wei;  Zhu, Feng;  Bao, Yungang
收藏  |  浏览/下载：4/0  |  提交时间：2024/05/20
Telemetry  Control systems  Collaboration  Monitoring  Measurement uncertainty  Data centers  Bandwidth  Network measurement  distributed systems  telemetry language  
Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Zhao, Fang
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Technological innovation  Global navigation satellite system  Navigation  Feature extraction  Adaptation models  Measurement uncertainty  Kalman filters  Deep learning  extended Kalman filter (EKF)  innovation matrix  integrated navigation  
VTensor: Using Virtual Tensors to Build a Layout-Oblivious AI Programming Framework 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 5, 页码: 1074-1097
作者:  Yu, Feng;  Zhao, Jia-Cheng;  Cui, Hui-Min;  Feng, Xiao-Bing;  Xue, Jingling
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
artificial intelligence (AI) programming  layout-oblivious  tensor processing  
SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields 期刊论文
ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 4, 页码: 17
作者:  Gao, Lin;  Liu, Feng-Lin;  Chen, Shu-Yu;  Jiang, Kaiwen;  Li, Chunpeng;  Lai, Yu-Kun;  Fu, Hongbo
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Sketch-based Interaction  Neural Radiance Fields  Face Modeling  Face Editing  
A combination predicting methodology based on T-LSTNet_Markov for short-term wind power prediction 期刊论文
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2023, 页码: 23
作者:  Wang, Yongsheng;  Wu, Yuhao;  Xu, Hao;  Chen, Zhen;  Gao, Jing;  Xu, ZhiWei;  Li, Leixiao
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Wind power forecast  T-LSTNet_markov model  Deep learning  Time series analysis  
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 5, 页码: 1546-1562
作者:  Qiao, Pengchong;  Li, Han;  Song, Guoli;  Han, Hu;  Gao, Zhiqiang;  Tian, Yonghong;  Liang, Yongsheng;  Li, Xi;  Zhou, S. Kevin;  Chen, Jie
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Lesions  Image segmentation  Computed tomography  Uncertainty  Training  Predictive models  Data models  Semi-supervised learning  lesion segmentation  unreliable pseudo labels