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检索条件"机构=Key Laboratory of Computer Architecture Institute of Computing Technology"
3422 条 记 录,以下是61-70 订阅
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AIBench Scenario: Scenario-distilling AI Benchmarking  21
AIBench Scenario: Scenario-distilling AI Benchmarking
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Proceedings of the 30th International Conference on Parallel architectures and Compilation Techniques
作者: Wanling Gao Fei Tang Jianfeng Zhan Xu Wen Lei Wang Zheng Cao Chuanxin Lan Chunjie Luo Xiaoli Liu Zihan Jiang State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences BenchCouncil (International Open Benchmark Council) and University of Chinese Academy of Sciences State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences and University of Chinese Academy of Sciences Alibaba State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences
Modern real-world application scenarios like Internet services consist of a diversity of AI and non-AI modules with huge code sizes and long and complicated execution paths, which raises serious benchmarking or evalua... 详细信息
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VmPTP: Precise Time Protocol for Inter-VM Communication in Embedded Virtualized Systems
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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2025年 第3期44卷 897-910页
作者: Zhao, Sirong Xie, Guoqi Ma, Wenhong Ren, Wei Li, Kenli Hunan University Key Laboratory for Embedded and Network Computing of Hunan Province College of Computer Science and Electronic Engineering Hunan Changsha410082 China Huawei Technology Co. Ltd. Central Software Institute Guangdong Shenzhen518129 China
System virtualization techniques are gradually applied to embedded systems with the performance improvement of embedded devices;however, there is a large time offset (i.e., deviation) of hundreds of ms between virtual... 详细信息
来源: 评论
Tetris:A Heuristic Static Memory Management Framework for Uniform Memory Multicore Neural Network Accelerators
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Journal of computer Science & technology 2022年 第6期37卷 1255-1270页
作者: Xiao-Bing Chen Hao Qi Shao-Hui Peng Yi-Min Zhuang Tian Zhi Yun-Ji Chen Distinguished Member,CCF State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China School of Computer Science and Technology University of Science and Technology of ChinaHeFei230026China Chinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology Shanghai200031China 不详
Uniform memory multicore neural network accelerators(UNNAs)furnish huge computing power to emerging neural network ***,with neural network architectures going deeper and wider,the limited memory capacity has become a ... 详细信息
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Competition on robust deep learning
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National Science Review 2023年 第6期10卷 13-15页
作者: Yinpeng Dong Chang Liu Wenzhao Xiang Hang Su Jun Zhu Department of Computer Science and Technology Institute for AI Tsinghua-Bosch Joint ML Center THBI Lab BNRist Center Tsinghua University Institute of Image Communication and Networks Engineering in the Department of Electronic Engineering (EE) Shanghai Jiao Tong University Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Peng Cheng Laboratory Pazhou Laboratory (Huangpu)
PROBLEM In recent years,the rapid development of artificial intelligence (AI) technology,especially machine learning and deep learning, is profoundly changing human production and *** various fields,such as robotics,f... 详细信息
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Leveraging Knowledge Distillation for Improved Event Extraction in QA Models  6
Leveraging Knowledge Distillation for Improved Event Extract...
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6th International Conference on Frontier Technologies of Information and computer, ICFTIC 2024
作者: Zhou, Peiyao Hu, Zhikui Zi, Kangli Zhang, Dawei School of Computer Science Jiangsu University of Science and Technology Zhenjiang China Institute of Computing Technology Chinese Academy of Sciences Key Laboratory of Intelligent Information Processing Beijing China
Event extraction is an important task in natural language processing, and it is widely utilized in intelligence domains such as business and military for information extraction. Recently, many works have successfully ... 详细信息
来源: 评论
Rail Transit Event Extraction based on the Fusion of Semantic and Local Dependency Features  15
Rail Transit Event Extraction based on the Fusion of Semanti...
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15th IEEE International Conference on Knowledge Graph, ICKG 2024
作者: Chen, Qiang Meng, Haining Bao, Yihao Yang, Mingsong Tong, Xinyu Zhao, Qin Khan, Muhammad Bilal Hei, Xinhong Xi'an University of Technology School of Computer Science and Engineering Xi'an China Xi'an University of Technology School of Computer Science and Engineering Shaanxi Key Laboratory of Network Computing and Security Technology Xi'an China Xi'an University of Technology School of Civil Engineering and Architecture Xi'an China
Event extraction in rail transit plays a vital role in all stages of design, construction, and final acceptance. Event extraction is a key part of building event logic graph (ELG). However, the difficulty in obtaining... 详细信息
来源: 评论
Conditional selection with CNN augmented transformer for multimodal affective analysis
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CAAI Transactions on Intelligence technology 2024年 第4期9卷 917-931页
作者: Jianwen Wang Shiping Wang Shunxin Xiao Renjie Lin Mianxiong Dong Wenzhong Guo College of Computer and Data Science Fuzhou UniversityFuzhouChina College of Computer and Cyber Security Fujian Normal UniversityFuzhouChina Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou UniversityFuzhouChina Digital Fujian Institute of Big Data Security Technology Fujian Normal UniversityFuzhouChina Department of Sciences and Informatics Muroran Institute of TechnologyMuroranJapan
Attention mechanism has been a successful method for multimodal affective analysis in recent years. Despite the advances, several significant challenges remain in fusing language and its nonverbal context information.... 详细信息
来源: 评论
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding
CroPrompt: Cross-task Interactive Prompting for Zero-shot Sp...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Qin, Libo Wei, Fuxuan Chen, Qiguang Zhou, Jingxuan Huang, Shijue Si, Jiasheng Lu, Wenpeng Che, Wanxiang School of Computer Science and Engineering Central South University China Key Laboratory of Data Intelligence and Advanced Computing in Provincial Universities Soochow University China Research Center for Social Computing and Information Retrieval Harbin Institute of Technology China Harbin Institute of Technology Shenzhen China Key Laboratory of Computing Power Network and Information Security Ministry of Education Qilu University of Technology Shandong Academy of Sciences China
Slot filling and intent detection are two highly correlated tasks in spoken language understanding (SLU). Recent SLU research attempts to explore zero-shot prompting techniques in large language models to alleviate th...
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An algorithm/hardware co-optimized method to accelerate CNNs with compressed convolutional weights on FPGA
An algorithm/hardware co-optimized method to accelerate CNNs...
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作者: Shang, Jiangwei Zhang, Zhan Zhang, Kun Li, Chuanyou Qian, Lei Liu, Hongwei School of Computer Science and Technology Harbin Institute of Technology Harbin China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China School of Computer Science and Engineering Southeast University Nanjing China
Convolutional neural networks (CNNs) have shown remarkable advantages in a wide range of domains at the expense of huge parameters and computations. Modern CNNs still tend to be more complex and larger to achieve bett... 详细信息
来源: 评论
Single-cell Curriculum Learning-based Deep Graph Embedding Clustering
Single-cell Curriculum Learning-based Deep Graph Embedding C...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Li, Huifa Fu, Jie Ling, Xinpeng Sun, Zhiyu Wang, Kuncan Chen, Zhili East China Normal University Shanghai Key Laboratory of Trustworthy Computing Shanghai China Stevens Institute of Technology Department of Computer Science Hoboken United States
The swift advancement of single-cell RNA sequencing (scRNA-seq) technologies enables the investigation of cellular-level tissue heterogeneity. Cell annotation significantly contributes to the extensive downstream anal... 详细信息
来源: 评论