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检索条件"机构=Research Center for Intelligent Computing Systems State Key Laboratory of Computer Architecture"
487 条 记 录,以下是281-290 订阅
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning
arXiv
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arXiv 2021年
作者: Zhang, Tianren Guo, Shangqi Tan, Tian Hu, Xiaolin Chen, Feng The Department of Automation Tsinghua University Beijing100086 China The Beijing Innovation Center for Future Chip Beijing100086 China The LSBDPA Beijing Key Laboratory Beijing100084 China The Department of Civil and Environmental Engineering Stanford University Stanford CA94305 United States The Department of Computer Science and Technology Institute for Artificial Intelligence Beijing National Research Center for Information Science and Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing100084 China
Goal-conditioned Hierarchical Reinforcement Learning (HRL) is a promising approach for scaling up reinforcement learning (RL) techniques. However, it often suffers from training inefficiency as the action space of the... 详细信息
来源: 评论
Predicting extreme events from data using deep machine learning: when and where
arXiv
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arXiv 2022年
作者: Jiang, Junjie Huang, Zi-Gang Grebogi, Celso Lai, Ying-Cheng The Key Laboratory of Biomedical Information Engineering of Ministry of Education Institute of Health and Rehabilitation Science School of Life Science and Technology Research Center for Brain-inspired Intelligence Xi’an Jiaotong University The Key Laboratory of Neuro-informatics & Rehabilitation Engineering of Ministry of Civil Affairs Shaanxi Xi’an China School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Institute for Complex Systems and Mathematical Biology School of Natural and Computing Sciences King’s College University of Aberdeen AB24 3UE United Kingdom Department of Physics Arizona State University TempeAZ85287 United States
We develop a deep convolutional neural network (DCNN) based framework for model-free prediction of the occurrence of extreme events both in time ("when") and in space ("where") in nonlinear physica... 详细信息
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An Enhanced Fault Diagnosis Method with Uncertainty Quantification Using Bayesian Convolutional Neural Network
An Enhanced Fault Diagnosis Method with Uncertainty Quantifi...
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IEEE International Conference on Automation Science and Engineering (CASE)
作者: Qihang Fang Gang Xiong Xiuqin Shang Sheng Liu Bin Hu Zhen Shen State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences China
Fault diagnosis is a vital technique to pinpoint the machine malfunctions in manufacturing systems. In recent years, the deep learning techniques greatly improve the fault detection accuracy, but there still remain so... 详细信息
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ACG-Engine: An Inference Accelerator for Content Generative Neural Networks
ACG-Engine: An Inference Accelerator for Content Generative ...
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IEEE International Conference on computer-Aided Design
作者: Haobo Xu Ying Wang Yujie Wang Jiajun Li Bosheng Liu Yinhe Han University of Chinese Academy of Sciences State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences
The technological breakthrough in Generative Adversarial Networks (GAN) has propelled the advancement of content generative applications such as AI-based paintings, style transfer, and music composition. However, in c... 详细信息
来源: 评论
VALID: A Comprehensive Virtual Aerial Image Dataset
VALID: A Comprehensive Virtual Aerial Image Dataset
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Lyujie Chen Feng Liu Yan Zhao Wufan Wang Xiaming Yuan Jihong Zhu Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Beijing National Research Center for Information Science and Technology Tsinghua University Beijing Department of Precision Instrument Tsinghua University Beijing
Aerial imagery plays an important role in land-use planning, population analysis, precision agriculture, and unmanned aerial vehicle tasks. However, existing aerial image datasets generally suffer from the problem of ... 详细信息
来源: 评论
Neural quality estimation with multiple hypotheses for grammatical error correction
arXiv
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arXiv 2021年
作者: Liu, Zhenghao Yi, Xiaoyuan Sun, Maosong Yang, Liner Chua, Tat-Seng Department of Computer Science and Technology Tsinghua University Beijing China Institute for Artificial Intelligence Tsinghua University Beijing China Beijing National Research Center for Information Science and Technology State Key Lab on Intelligent Technology and Systems Tsinghua University Beijing China Beijing Academy of Artificial Intelligence Beijing Language and Culture University Beijing China School of Computing National University of Singapore Singapore
Grammatical Error Correction (GEC) aims to correct writing errors and help language learners improve their writing skills. However, existing GEC models tend to produce spurious corrections or fail to detect lots of er... 详细信息
来源: 评论
SAMamba: Adaptive state space modeling with hierarchical vision for infrared small target detection
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Information Fusion 2025年 124卷
作者: Xu, Wenhao Zheng, Shuchen Wang, Changwei Zhang, Zherui Ren, Chuan Xu, Rongtao Xu, Shibiao School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China Jinan250014 China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100190 China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan250014 China School of Software Microelectronics Peking University Beijing100084 China
Infrared small target detection (ISTD) is vital for long-range surveillance systems, particularly in military defense, maritime monitoring, and early warning applications. Despite its strategic importance, ISTD remain... 详细信息
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反向连边在大型分层网络中的影响(英文)
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Engineering 2024年 第5期 240-249页
作者: 曹浩森 胡斌斌 莫小雨 陈都鑫 高建喜 袁烨 陈关荣 Tamás Vicsek 管晓宏 张海涛 MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Artificial Intelligence and Automation Huazhong University of Science and Technology School of Mechanical and Aerospace Engineering Nanyang Technological University Jiangsu Key Laboratory of Networked Collective Intelligence School of Mathematics Southeast University Department of Computer Science Rensselaer Polytechnic Institute Department of Electronic Engineering City University of Hong Kong Department of Biological Physics E?tv?s University MOE Key Laboratory for Intelligent Networks and Network Security School of Automation Science and Engineering Xi'an Jiaotong University
Hierarchical networks are frequently encountered in animal groups, gene networks, and artificial engineering systems such as multiple robots, unmanned vehicle systems, smart grids, wind farm networks,and so forth. The...
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Delving deeper into the decoder for video captioning
arXiv
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arXiv 2020年
作者: Chen, Haoran Li, Jianmin Hu, Xiaolin State Key Laboratory of Intelligent Technology and Systems Institute for Artificial Intelligence Beijing National Research Center for Information Science and Technology THBI Department of Computer Science and Technology Tsinghua University Beijing100084 China
Video captioning is an advanced multi-modal task which aims to describe a video clip using a natural language sentence. The encoder-decoder framework is the most popular paradigm for this task in recent years. However... 详细信息
来源: 评论
Author Correction: Discovering CRISPR-Cas system with self-processing pre-crRNA capability by foundation models
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Nature communications 2025年 第1期16卷 535页
作者: Wenhui Li Xianyue Jiang Wuke Wang Liya Hou Runze Cai Yongqian Li Qiuxi Gu Qinchang Chen Peixiang Ma Jin Tang Menghao Guo Guohui Chuai Xingxu Huang Jun Zhang Qi Liu State Key Laboratory of Cardiology and Medical Innovation Center Shanghai East Hospital Frontier Science Center for Stem Cell Research Bioinformatics Department School of Life Sciences and Technology Tongji University Shanghai China. Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University) Ministry of Education Orthopaedic Department of Tongji Hospital Frontier Science Center for Stem Cell Research Bioinformatics Department School of Life Sciences and Technology Tongji University Shanghai China. Research Center for Life Sciences Computing Zhejiang Lab Hangzhou Zhejiang China. State Key Laboratory of Reproductive Medicine and Offspring Health Women's Hospital of Nanjing Medical University Nanjing Maternity and Child Health Care Hospital Nanjing Medical University Nanjing China. Shanghai Key Laboratory of Orthopedic Implants Department of Orthopedic Surgery Shanghai Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Shanghai China. State Key Laboratory of Cardiology and Medical Innovation Center Shanghai East Hospital Frontier Science Center for Stem Cell Research Bioinformatics Department School of Life Sciences and Technology Tongji University Shanghai China. 18alexanderm117@***. Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University) Ministry of Education Orthopaedic Department of Tongji Hospital Frontier Science Center for Stem Cell Research Bioinformatics Department School of Life Sciences and Technology Tongji University Shanghai China. 18alexanderm117@***. National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Shanghai Research Institute for Intelligent Autonomous Systems Shanghai China. 18alexanderm117@***. Research Center for Life Sciences Computing Zhejiang Lab Hangzhou Zhejiang China. xingxuhuang@zju.edu.cn. The Key Laboratory of Pancreatic Diseases of Zhejiang Province
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