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检索条件"机构=State Key Laboratory of Computer Architecture~ Institute of Computing Technology"
1807 条 记 录,以下是261-270 订阅
Analysis and Design of Mobile Model for DTN
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Chinese Journal of Electronics 2023年 第4期18卷 635-638页
作者: Zhiting Lin Yugui Qu Yusheng Ji Baohua Zhao Department of Computer Science University of Science and Technology of China Hefei China Province Key Laboratory of Software in Computing and Communication Hefei China Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan
Delay tolerant networks may become unexpectedly partitioned due to node mobility or variation in signal strength. However, most widely used models in some relative works are generally very simplistic. In order to expl... 详细信息
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ASBP: Automatic Structured Bit-Pruning for RRAM-Based NN Accelerator  21
ASBP: Automatic Structured Bit-Pruning for RRAM-Based NN Acc...
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Proceedings of the 58th Annual ACM/IEEE Design Automation Conference
作者: Songyun Qu Bing Li Ying Wang Lei Zhang Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences Capital Normal University Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences and State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences
Network sparsity or pruning is an extensively studied method to optimize the computation efficiency of deep neural networks (DNNs) for CMOS-based accelerators, such as FPGAs and GPUs. Though the RRAM-based accelerator... 详细信息
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FPGA-Based Multi-precision architecture for Accelerating Large-Scale Floating-Point Matrix computing  17th
FPGA-Based Multi-precision Architecture for Accelerating Lar...
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17th IFIP WG 10.3 International Conference on Network and Parallel computing, NPC 2020
作者: Zhang, Longlong Peng, Yuanxi Hu, Xiao Huang, Ahui Tian, Tian State Key Laboratory of High Performance Computing School of Computer National University of Defense Technology Changsha China Institute of Microelectronics School of Computer National University of Defense Technology Changsha China
Matrix computing plays a vital role in many scientific and engineering applications, but previous work can only handle the data with specified precision based on FPGA. This study first presents algorithms, data flows,... 详细信息
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Evolving Physical Instinct for Morphology and Control Co-Adaption
Evolving Physical Instinct for Morphology and Control Co-Ada...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Xinglin Chen Da Huang Minglong Li Yishuai Cai Zhuoer Wen Zhongxuan Cai Wenjing Yang Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha China School of Computer science Peking University Beijing China
The capability of a robot to perform tasks depends not only on precise motion control, but also on a well-suited body morphology. Adapting both morphology and control of robots to improve their task performance has be...
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A Cross-domain Radar Emitter Recognition Method with Few-shot Learning
A Cross-domain Radar Emitter Recognition Method with Few-sho...
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computer Engineering and Intelligent Communications (ISCEIC), International Symposium on
作者: Yixian Luo Tianrui Liu Xueqiong Li Hengzhu Liu Institute for Quantum Information & State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China College of Computer National University of Defense Technology Changsha China
In many realistic scenarios, it is necessary but challenging to acquire a large number of annotated radar emitter samples for training a recognition model. This study proposes a cross-domain radar emitter recognition ...
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MRDRL-ROS: A Multi Robot Deep Reinforcement Learning Platform based on Robot Operating System  4
MRDRL-ROS: A Multi Robot Deep Reinforcement Learning Platfor...
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2021 4th International Conference on Mechatronics and computer technology Engineering, MCTE 2021
作者: Cai, Zhongxuan Liang, Zhen Ren, Jing Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Hunan Changsha410073 China
Deep reinforcement learning (DRL) has greatly improved the intelligence of AI in recent years and the community has proposed several common software to facilitate the development of DRL. However, in robotics the utili... 详细信息
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A Visual-Cortex-Mimetic Tiny Neuromorphic Vision Processor Based on Reconfigurable Cortical Neuron Unit
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IEEE Transactions on Circuits and Systems II: Express Briefs 2025年
作者: Chen, Mingju He, Junxian Wang, Haibing Wang, Tengxiao Gao, Haoran Liu, Liyuan Wang, Ying Shi, Cong Sichuan University of Science and Engineering Artificial Intelligence Key Laboratory of Sichuan Province Sichuan Yibin643000 China Chongqing University School of Microelectronics and Communication Engineering Chongqing400044 China Chinese Academy of Sciences State Key Laboratory for Superlattices and Microstructures Institute of Semiconductors Beijing100083 China Chinese Academy of Sciences State Key Laboratory of Computer Architecture Institute of Computing Technology Beijing100190 China
Edge visual systems demand high energy-efficiency vision processors like neuromorphic hardware leveraging spikebased computations. But their disability of directly interacting with non-spike information in the real wo... 详细信息
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UncTrack: Reliable Visual Object Tracking With Uncertainty-Aware Prototype Memory Network
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IEEE Transactions on Image Processing 2025年 34卷 3533-3546页
作者: Siyuan Yao Yang Guo Yanyang Yan Wenqi Ren Xiaochun Cao School of Computer Science (National Pilot Software Engineering School) Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Cyber Science and Technology Sun Yat-sen University Shenzhen Campus Shenzhen China
Transformer-based trackers have achieved promising success and become the dominant tracking paradigm because of their accuracy and efficiency. Despite the substantial progress, most of the existing approaches handle o... 详细信息
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DPA-2:a large atomic model as a multitask learner
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npj Computational Materials 2024年 第1期10卷 185-199页
作者: Duo Zhang Xinzijian Liu Xiangyu Zhang Chengqian Zhang Chun Cai Hangrui Bi Yiming Du Xuejian Qin Anyang Peng Jiameng Huang Bowen Li Yifan Shan Jinzhe Zeng Yuzhi Zhang Siyuan Liu Yifan Li Junhan Chang Xinyan Wang Shuo Zhou Jianchuan Liu Xiaoshan Luo Zhenyu Wang Wanrun Jiang Jing Wu Yudi Yang Jiyuan Yang Manyi Yang Fu-Qiang Gong Linshuang Zhang Mengchao Shi Fu-Zhi Dai Darrin M.York Shi Liu Tong Zhu Zhicheng Zhong Jian Lv Jun Cheng Weile Jia Mohan Chen Guolin Ke Weinan E Linfeng Zhang Han Wang AI for Science Institute BeijingP.R.China DP Technology BeijingP.R.China Academy for Advanced Interdisciplinary Studies Peking UniversityBeijingP.R.China State Key Lab of Processors Institute of Computing TechnologyChinese Academy of SciencesBeijingP.R.China University of Chinese Academy of Sciences BeijingP.R.China HEDPS CAPTCollege of EngineeringPeking UniversityBeijingP.R.China Ningbo Institute of Materials Technology and Engineering Chinese Academy of SciencesNingboP.R.China CAS Key Laboratory of Magnetic Materials and Devices and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Chinese Academy of SciencesNingboP.R.China School of Electronics Engineering and Computer Science Peking UniversityBeijingP.R.China Shanghai Engineering Research Center of Molecular Therapeutics&New Drug Development School of Chemistry and Molecular EngineeringEast China Normal UniversityShanghaiP.R.China Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine and Department of Chemistry and Chemical BiologyRutgers UniversityPiscatawayNJUSA Department of Chemistry Princeton UniversityPrincetonNJUSA College of Chemistry and Molecular Engineering Peking UniversityBeijingP.R.China Yuanpei College Peking UniversityBeijingP.R.China School of Electrical Engineering and Electronic Information Xihua UniversityChengduP.R.China State Key Laboratory of Superhard Materials College of PhysicsJilin UniversityChangchunP.R.China Key Laboratory of Material Simulation Methods&Software of Ministry of Education College of PhysicsJilin UniversityChangchunP.R.China International Center of Future Science Jilin UniversityChangchunP.R.China Key Laboratory for Quantum Materialsof Zhejiang Province Department of PhysicsSchool of ScienceWestlake UniversityHangzhouP.R.China Atomistic Simulations Italian Institute of TechnologyGenovaItaly State Key Laboratory of Physical Chemistry of Solid Surface iChEMCollege of Chemistry and Chemical EngineeringXiame
The rapid advancements in artificial intelligence(AI)are catalyzing transformative changes in atomic modeling,simulation,and ***-driven potential energy models havedemonstrated the capability to conduct large-scale,lo... 详细信息
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A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection  3rd
A Benchmark of Ocular Disease Intelligent Recognition: One S...
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3rd BenchCouncil International Symposium on Benchmarking, Measuring, and Optimizing, Bench 2020
作者: Li, Ning Li, Tao Hu, Chunyu Wang, Kai Kang, Hong College of Computer Science Nankai university Tianjin300350 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Science Beijing100190 China Beijing Shanggong Medical Technology Co. Ltd. Beijing100176 China
In ophthalmology, early fundus screening is an economic and effective way to prevent blindness caused by ophthalmic diseases. Clinically, due to the lack of medical resources, manual diagnosis is time-consuming and ma... 详细信息
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