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检索条件"机构=Huawei Software Engineering Application Technology Lab"
126 条 记 录,以下是111-120 订阅
排序:
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective
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ACM Transactions on software engineering and Methodology 1000年
作者: Kisub Kim Xin Zhou Dongsun Kim Julia Lawall Kui Liu Tegawendé F. Bissyandé Jacques Klein Jaekwon Lee David Lo Singapore Management University Singapore Korea University Korea Inria France Huawei Software Engineering Application Technology Lab China University of Luxembourg Luxembourg Kangwon National University Korea
Proper naming of methods can make program code easier to understand, and thus enhance software maintainability. Yet, developers may use inconsistent names due to poor communication or a lack of familiarity with conven... 详细信息
来源: 评论
Contextualizing Meta-Learning via Learning to Decompose
arXiv
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arXiv 2021年
作者: Ye, Han-Jia Zhou, Da-Wei Hong, Lanqing Li, Zhenguo Wei, Xiu-Shen Zhan, De-Chuan State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China Huawei Noah’s Ark Lab Canada The School of Computer Science and Engineering Southeast University Nanjing210096 China Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Southeast University Ministry of Education Nanjing210096 China
Meta-learning has emerged as an efficient approach for constructing target models based on support sets. For example, the meta-learned embeddings enable the construction of target nearest-neighbor classifiers for spec... 详细信息
来源: 评论
Why Blockchain Needs Graph: A Survey on Studies, Scenarios, and Solutions
SSRN
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SSRN 2023年
作者: Song, Jie Zhang, Pengyi Qu, Qiang Bai, Yongjie Gu, Yu Yu, Ge Software College Northeastern University Shenyang110819 China Shenzhen Institute of Advanced Technology Chinese Academy of Science Shenzhen518055 China Blockchain Lab Huawei Cloud Tech Co. Ltd Shenzhen518101 China School of Computer Science and Engineering Northeastern University Shenyang110819 China
The popularity of blockchain platforms and their applications in industry and academia keeps rising. The multifarious requirements stimulate another technique, graph data and algorithms, to join the blockchains;thus, ... 详细信息
来源: 评论
Finding Simplex Items in Data Streams
Finding Simplex Items in Data Streams
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International Conference on Data engineering
作者: Zhuochen Fan Jiarui Guo Xiaodong Li Tong Yang Yikai Zhao Yuhan Wu Bin Cui Yanwei Xu Steve Uhlig Gong Zhang School of Computer Science and National Engineering Laboratory for Big Data Analysis Technology and Application Peking University Beijing China Peng Cheng Laboratory Shenzhen China Theory Lab Central Research Institute 2012 Labs Huawei Technologies Co. Ltd. Hong Kong SAR China School of Electronic Engineering and Computer Science Queen Mary University of London London UK
In this paper, we propose a new type of item in data streams, called simplex items. Simplex items have frequencies in consecutive p windows that can be approximated by a polynomial of degree at most k, where k = 0, 1,...
来源: 评论
Globally optimal consensus maximization for robust visual inertial localization in point and line map
Globally optimal consensus maximization for robust visual in...
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2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Yanmei Jiao Yue Wang Bo Fu Qimeng Tan Lei Chen Minhang Wang Shoudong Huang Rong Xiong State Key Laboratory of Industrial Control and Technology Zhejiang University Hangzhou P.R. China Beijing Key Laboratory of Intelligent Space Robotic System Technology and Applications Beijing Institute of Spacecraft System Engineering Beijing P.R. China Minhang Wang is with the Application Lab Huawei Incorporated Company P.R. China Shoudong Huang is with the Center for Autonomous Systems (CAS) the University of Technology Sydney Australia
Map based visual inertial localization is a crucial step to reduce the drift in state estimation of mobile robots. The underlying problem for localization is to estimate the pose from a set of 3D-2D feature correspond... 详细信息
来源: 评论
Visual Tuning
arXiv
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arXiv 2023年
作者: Yu, Bruce X.B. Chang, Jianlong Wang, Haixin Liu, Lingbo Wang, Shijie Wang, Zhiyu Lin, Junfan Xie, Lingxi Li, Haojie Lin, Zhouchen Tian, Qi Chen, Chang Wen Zhejiang University University of Illinois Urbana-Champaign Institute Zhejiang University China Huawei China National Engineering Research Center for Software Engineering Peking University China Peng Cheng Laboratory China College of Computer Science and Engineering Shandong University of Science and Technology China National Key Lab of General AI School of Intelligence Science and Technology Peking University China Department of Computing The Hong Kong Polytechnic University Hong Kong
Fine-tuning visual models has been widely shown promising performance on many downstream visual tasks. With the surprising development of pre-trained visual foundation models, visual tuning jumped out of the standard ... 详细信息
来源: 评论
City-Scale Localization with Telco Big Data  16
City-Scale Localization with Telco Big Data
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Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
作者: Fangzhou Zhu Chen Luo Mingxuan Yuan Yijian Zhu Zhengqing Zhang Tao Gu Ke Deng Weixiong Rao Jia Zeng School of Computer Science and Technology Soochow University Suzhou China Huawei Noah's Ark Lab Hong Kong Hong Kong Hong Kong China United Network Communications Corporation Limited Shanghai Branch Shanghai China Computer Science RMIT University Melbourne Australia School of Software Engineering Tongji University China Shanghai China
It is still challenging in telecommunication (telco) industry to accurately locate mobile devices (MDs) at city-scale using the measurement report (MR) data, which measure parameters of radio signal strengths when MDs... 详细信息
来源: 评论
Perceptive self-supervised learning network for noisy image watermark removal
arXiv
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arXiv 2024年
作者: Tian, Chunwei Zheng, Menghua Li, Bo Zhang, Yanning Zhang, Shichao Zhang, David School of Software Northwestern Polytechnical University Xi’an710129 China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Xi’an710129 China School of Electronics and Information Northwestern Polytechnical University Xi’an710129 China School of Computer Science Northwestern Polytechnical University National Engineering Laboratory for Integrated AeroSpace-Ground-Ocean Big Data Application Technology Xi’an710129 China Guangxi Key Lab of Multisource Information Mining & Security College of Computer Science & Engineering Guangxi Normal University Guilin541004 China Shenzhen518172 China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518172 China
Popular methods usually use a degradation model in a supervised way to learn a watermark removal model. However, it is true that reference images are difficult to obtain in the real world, as well as collected images ... 详细信息
来源: 评论
Model-enhanced Vector Index
arXiv
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arXiv 2023年
作者: Zhang, Hailin Wang, Yujing Chen, Qi Chang, Ruiheng Zhang, Ting Miao, Ziming Hou, Yingyan Ding, Yang Miao, Xupeng Wang, Haonan Pang, Bochen Zhan, Yuefeng Sun, Hao Deng, Weiwei Zhang, Qi Yang, Fan Xie, Xing Yang, Mao Cui, Bin School of Computer Science Key Lab of High Confidence Software Technologies Peking University China Microsoft United States Aerospace Information Research Institute Key Laboratory of Target Cognition and Application Technology Chinese Academy of Sciences China Institute of Information Engineering Chinese Academy of Sciences China Carnegie Mellon University United States National University of Singapore Singapore National Engineering Laboratory for Big Data Analysis and Applications Peking University China
Embedding-based retrieval methods construct vector indices to search for document representations that are most similar to the query representations. They are widely used in document retrieval due to low latency and d... 详细信息
来源: 评论
Image super-resolution via dynamic network
arXiv
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arXiv 2023年
作者: Tian, Chunwei Zhang, Xuanyu Zhang, Qi Yang, Mingming Ju, Zhaojie School of Software Northwestern Polytechnical University Xi’an710129 China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Xi’an710129 China Research & Development Institute Northwestern Polytechnical University Shenzhen China School of Economics and Management Harbin Institute of Technology at Weihai Weihai264209 China Tencent AI lab Shenzhen China School of Computing University of Portsmouth PortsmouthPO1 3HE United Kingdom
Convolutional neural networks depend on deep network architectures to extract accurate information for image super-resolution. However, obtained information of these convolutional neural networks cannot completely exp... 详细信息
来源: 评论