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检索条件"机构=A Key Laboratory of Symbolic Computation and Knowledge Engineering"
1230 条 记 录,以下是201-210 订阅
排序:
NON-RADIATING ELASTIC SOURCES IN INHOMOGENEOUS ELASTIC MEDIA AT CORNERS WITH APPLICATIONS
arXiv
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arXiv 2025年
作者: Diao, Huaian Geng, Yueran Tang, Ruixiang School of Mathematics Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China School of Mathematics Jilin University Changchun130012 China Department of Mathematics City University of Hong Kong Kowloon Hong Kong
This paper is concerned with non-radiating elastic sources in inhomogeneous elastic media. We demonstrate that the value of non-radiating elastic sources must vanish at convex corners of their support, provided the so... 详细信息
来源: 评论
MP: Endowing Large Language Models with Lateral Thinking  39
MP: Endowing Large Language Models with Lateral Thinking
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Bai, Tian Cao, Yongwang Ge, Yan Yu, Haitao College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University China Graduate School of Comprehensive Human Sciences University of Tsukuba Japan Institute of Library Information and Media Science University of Tsukuba Japan
The recent studies show that Large Language Models (LLMs) often fall short in tasks demanding creative, lateral thinking due to lacking a clear awareness of their own reasoning processes. To cope with this issue, we p...
来源: 评论
PRG: Prompt-Based Distillation Without Annotation via Proxy Relational Graph
arXiv
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arXiv 2024年
作者: Xu, Yijin Liu, Jialun Wei, Hualiang Li, Wenhui The College of Computer Science and Technology The Key Laboratory of Symbolic Computation and Knowledge Engineer Ministry of Education Jilin University Jilin Changchun130012 China Baidu VIS. Beijing100000 China
In this paper, we propose a new distillation method for extracting knowledge from Large Foundation Models (LFM) into lightweight models, introducing a novel supervision mode that does not require manually annotated da... 详细信息
来源: 评论
Automating Discussion Structure Re-Organization for Github Issues
SSRN
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SSRN 2023年
作者: Bai, Shuotong Liu, Lei Meng, Chenkun Liu, Huaxiao College of Computer Science and Technology Jilin University Jilin Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Jilin Changchun130012 China
As a popular social code hosting platform, GitHub encourages developers to discuss and leave opinions on issues for better repository development and closer team collaboration. However, popular issues can be bloated o... 详细信息
来源: 评论
Application of Hybrid Monocular SLAM Method in Augmented Reality  5
Application of Hybrid Monocular SLAM Method in Augmented Rea...
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2020 5th International Seminar on Computer Technology, Mechanical and Electrical engineering, ISCME 2020
作者: Zhang, Zuoming Wang, Hanwen Shu, Man Wang, Xin College of Software Engineering Jilin University Changchun Jilin130000 China Key Laboratory of Symbolic Computation and Knowledge Engineer of Ministry of Education Jilin University Changchun Jilin130000 China
In this paper, we design a hybrid (semi-direct) approach to simultaneous localization and mapping (SLAM) for monocular cameras and apply it to augmented reality (AR) for monocular cameras. We combine the advantagesof ... 详细信息
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Spatiotemporal Transformer for Data Inference and Long Prediction in Sparse Mobile CrowdSensing
Spatiotemporal Transformer for Data Inference and Long Predi...
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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies
作者: En Wang Weiting Liu Wenbin Liu Chaocan Xiang Bo Yang Yongjian Yang College of Computer Science and Technology Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China College of Computer Science Chongqing University China
Mobile CrowdSensing (MCS) is a data sensing paradigm that recruits users carrying mobile terminals to collect data. As its variant, Sparse MCS has been further proposed for large-scale and fine-grained sensing task wi...
来源: 评论
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection  29
A Coarse-to-fine Cascaded Evidence-Distillation Neural Netwo...
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29th International Conference on computational Linguistics, COLING 2022
作者: Yang, Zhiwei Ma, Jing Chen, Hechang Lin, Hongzhan Luo, Ziyang Chang, Yi College of Computer Science and Technology Jilin University Changchun China Department of Computer Science Hong Kong Baptist University Hong Kong School of Artificial Intelligence International Center of Future Science Jilin University China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education
Existing fake news detection methods aim to classify a piece of news as true or false and provide veracity explanations, achieving remarkable performances. However, they often tailor automated solutions on manual fact... 详细信息
来源: 评论
Application of Monocular Direct Vision Odometry in Augmented Reality  5
Application of Monocular Direct Vision Odometry in Augmented...
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2020 5th International Seminar on Computer Technology, Mechanical and Electrical engineering, ISCME 2020
作者: Zhang, Zuoming Wang, Zixuan Wang, Hanwen Wang, Xin College of Software Engineering Jilin University Changchun Jilin130000 China Key Laboratory of Symbolic Computation and Knowledge Engineer of Ministry of Education Jilin University Changchun Jilin130000 China
In recent years, the unlabeled augmented reality system has been gradually applied to various mobile devices, among which stable, accurate, and fast registration is the key to realizing this function. For this techniq... 详细信息
来源: 评论
Fast Converging Anytime Model Counting
arXiv
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arXiv 2022年
作者: Lai, Yong Meel, Kuldeep S. Yap, Roland H.C. Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University China School of Computing National University of Singapore Singapore
Model counting is a fundamental problem which has been influential in many applications, from artificial intelligence to formal verification. Due to the intrinsic hardness of model counting, approximate techniques hav...
来源: 评论
Incomplete Graph Learning: A Comprehensive Survey
arXiv
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arXiv 2025年
作者: Xia, Riting Liu, Huibo Li, Anchen Liu, Xueyan Zhang, Yan Zhang, Chunxu Yang, Bo College of Computer Science Inner Mongolia University Hohhot010021 China School of Computer Science and Technology Jilin University Jilin Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China
Graph learning is a prevalent field that operates on ubiquitous graph data. Effective graph learning methods can extract valuable information from graphs. However, these methods are non-robust and affected by missing ... 详细信息
来源: 评论