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检索条件"机构=Shanghai Development Center of Computer Software Technology"
1064 条 记 录,以下是51-60 订阅
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PE: A Poincare Explanation Method for Fast Text Hierarchy Generation
PE: A Poincare Explanation Method for Fast Text Hierarchy Ge...
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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
作者: Chen, Qian Li, Dongyang He, Xiaofeng Li, Hongzhao Yi, Hongyu School of Computer Science and Technology East China Normal University Shanghai China NPPA Key Laboratory of Publishing Integration Development ECNUP Shanghai China Sichuan Caizi Software Information Network Co. Ltd. China
The black-box nature of deep learning models in NLP hinders their widespread *** research focus has shifted to Hierarchical Attribution (HA) for its ability to model feature *** works model non-contiguous combinations... 详细信息
来源: 评论
Towards optimized tensor code generation for deep learning on sunway many-core processor
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Frontiers of computer Science 2024年 第2期18卷 1-15页
作者: Mingzhen LI Changxi LIU Jianjin LIAO Xuegui ZHENG Hailong YANG Rujun SUN Jun XU Lin GAN Guangwen YANG Zhongzhi LUAN Depei QIAN State Key Laboratory of Software Development Environment Beijing 100191China School of Computer Science and Engineering Beihang UniversityBeijing 100191China National University of Singapore Singapore 119077Singapore State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214000China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing 100854China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China
The flourish of deep learning frameworks and hardware platforms has been demanding an efficient compiler that can shield the diversity in both software and hardware in order to provide application *** the existing dee... 详细信息
来源: 评论
OnMKD: An Online Mutual Knowledge Distillation Framework for Passage Retrieval  12th
OnMKD: An Online Mutual Knowledge Distillation Framework for...
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12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023
作者: Deng, Jiali Li, Dongyang Zhang, Taolin He, Xiaofeng School of Computer Science and Technology East China Normal University Shanghai China School of Software Engineering East China Normal University Shanghai China NPPA Key Laboratory of Publishing Integration Development ECNUP Shanghai China
Dense passage retriever recalls a set of relevant passages from a large corpus according to a natural language question. The dual-encoder architecture is prevalent in dense passage retrievers, which is based on large-... 详细信息
来源: 评论
SLSNet: Weakly-Supervised Skin Lesion Segmentation Network with Self-attentions  20th
SLSNet: Weakly-Supervised Skin Lesion Segmentation Network w...
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20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023
作者: Pei, Songwen Huang, Junjie School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China Engineering Research Center of Software/Hardware Co-design Technology and Application Ministry of Education East China Normal University Shanghai200062 China
computer-aided skin lesion segmentation with high precision is crucial to diagnose skin cancers in the early stage. However, the lack of pixel-level labels makes the skin lesion segmentation tasks challenging. To tack... 详细信息
来源: 评论
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
Real-IAD: A Real-World Multi-View Dataset for Benchmarking V...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Chengjie Wang Wenbing Zhu Bin-Bin Gao Zhenye Gan Jiangning Zhang Zhihao Gu Shuguang Qian Mingang Chen Lizhuang Ma Shanghai Jiao Tong University Youtu Lab Tencent Fudan University Ronacheer Co. Ltd Shanghai Development Center of Computer Software Technology
Industrial anomaly detection (I AD) has garnered signif-icant attention and experienced rapid development. However, the recent development of I AD approach has encountered certain difficulties due to dataset limitatio... 详细信息
来源: 评论
Multi-Objective Optimization of Multi-Product Parallel Disassembly Line Balancing Problem Considering Multi-Skilled Workers Using a Discrete Chemical Reaction Optimization Algorithm
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computers, Materials & Continua 2024年 第9期80卷 4475-4496页
作者: Xiwang Guo Liangbo Zhou Zhiwei Zhang Liang Qi Jiacun Wang Shujin Qin Jinrui Cao College of Information and Control Engineering Liaoning Petrochemical UniversityFushun113000China Department of Computer Science and Technology Shandong University of Science and TechnologyQingdao266590China Department of Computer Science and Software Engineering Monmouth UniversityWest Long BranchNJ 07764USA Research Center of the Economic and Social Development of Henan East Provincial Joint Shangqiu Normal UniversityShangqiu476000China Department of Computer Science New Jersey City UniversityJersey CityNJ 07305USA
This work investigates a multi-product parallel disassembly line balancing problem considering multi-skilled workers.A mathematical model for the parallel disassembly line is established to achieve maximized disassemb... 详细信息
来源: 评论
Research on key technologies of edge cache in virtual data space across WAN
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Frontiers of computer Science 2023年 第1期17卷 15-34页
作者: Jiantong HUO Yaowen XU Zhisheng HUO Limin XIAO Zhenxue HE State Key Laboratory of Software Development Environment Beihang UniversityBeijing 100191China School of Computer Science and Engineering Beihang UniversityBeijing 100191China High Performance Computing Center Beihang UniversityBeijing 100191China College of Software Beihang UniversityBeijing 100191China Hebei Key Laboratory of Agricultural Big Data Hebei Agricultural UniversityBaoding 071001China College of Computer Science and Technology Zhejiang UniversityHangZhou 310013China
The authors of this paper have previously proposed the global virtual data space system (GVDS) to aggregate the scattered and autonomous storage resources in China’s national supercomputer grid (National Supercomputi... 详细信息
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Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space
Learning to Measure the Point Cloud Reconstruction Loss in a...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Tianxin Huang Zhonggan Ding Jiangning Zhang Ying Tai Zhenyu Zhang Mingang Chen Chengjie Wang Yong Liu APRIL Lab Zhejiang University Tencent YouTu Lab Shanghai Development Center of Computer Software Technology
For point cloud reconstruction-related tasks, the reconstruction losses to evaluate the shape differences between reconstructed results and the ground truths are typically used to train the task networks. Most existin...
来源: 评论
Attribute-Based Non-Interactive Privacy-Protected Crowd-Sourcing software Testing Engineer Selection Mechanism
Attribute-Based Non-Interactive Privacy-Protected Crowd-Sour...
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IEEE International Conference on software Quality, Reliability and Security Companion (QRS-C)
作者: Qiliang Yang Lizhi Cai Jiayu Gong Minlu Tang Yi Lin Shanghai Development Center of Computer Software Technology Cryptographic Standard Study & Security Evaluation Laboratory Shanghai China Shanghai Development Center of Computer Software Technology Shanghai Key Laboratory of Computer Software Testing & Evaluating Shanghai China
The central management platforms in traditional crowd-sourced software testing networks are easy to become the target of attack by the enemies, and when the central management platform is attacked, it is easy to cause... 详细信息
来源: 评论
Research on stream processing engine and benchmarking framework
Research on stream processing engine and benchmarking framew...
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IEEE International Conference on Networking, Sensing and Control
作者: Qionghua Le Mingang Chen Wenjie Chen Shanghai Key Laboratory of Computer Software Testing &Evaluating Shanghai Development Center of Computer Software Technology Shanghai China
Stream computing engine is an important part of big data system, and benchmarking is one of the main means to measure the engine's performance. In this paper, we compare the differences between two engines, Spark ... 详细信息
来源: 评论