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检索条件"机构=A Key Laboratory of Symbolic Computation and Knowledge Engineering"
1206 条 记 录,以下是191-200 订阅
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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
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...
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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
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Generative Classifier for Domain Generalization
arXiv
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arXiv 2025年
作者: Long, Shaocong Zhou, Qianyu Li, Xiangtai Ying, Chenhao Tong, Yunhai Ma, Lizhuang Luo, Yuan Tao, Dacheng Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University Changchun China Nanyang Technological University Singapore Peking University Beijing China
Domain generalization (DG) aims to improve the generalizability of computer vision models toward distribution shifts. The mainstream DG methods predominantly focus on learning domain invariance across domains, however... 详细信息
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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
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Migration: An Efficient Explorer Operator to Guide Swarm Evolution
Migration: An Efficient Explorer Operator to Guide Swarm Evo...
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Medical Artificial Intelligence (MedAI), IEEE International Conference on
作者: Xiaosong Han Chengyang Zhou Yanchun Liang Renchu Guan Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry College of Computer Science and Technology Jilin University Changchun China Key Laboratory for Symbol Computation and Knowledge Engineering of National Education Ministry College of Computer Science and Technology Zhuhai Laboratory of Key Laboratory for Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Zhuhai College of Science and Technology Zhuhai China
Particle Swarm Optimization with Migration (MPSO) is proposed to solve the issue that PSO will encounter unbearable time cost problems when dealing with High-dimension, Expensive and Black-box objective function tasks...
来源: 评论
Noisetrans: Point Cloud Denoising with Transformers
SSRN
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SSRN 2022年
作者: Hou, Guangzhe Qin, Guihe Sun, Minghui Liang, Yanhua Yan, Jie Zhang, Zhonghan Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Jilin University 2699 Chaoyang District Changchun Jilin130012 China
Introduction: Point clouds obtained from capture devices or 3D reconstruction techniques are often noisy and interfere with downstream ***: The paper aims to recover the underlying surface of noisy point ***: We desig... 详细信息
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3DSEAVNet: 3D-Squeeze-and-Excitation Networks for Audio-Visual Saliency Prediction
3DSEAVNet: 3D-Squeeze-and-Excitation Networks for Audio-Visu...
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International Joint Conference on Neural Networks (IJCNN)
作者: Silong Liang Chunxiao Li Naying Cui Minghui Sun Hao Xue College of Software Engineering JiLin University Changchun China College of Computer Science and Technology JiLin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education JiLin University Changchun China
Video saliency prediction is an important task in the field of computer vision. Most of the existing video saliency prediction methods only focus on image information, and the audio information is often ignored. This ...
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When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions  24
When Federated Recommendation Meets Cold-Start Problem: Sepa...
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33rd ACM Web Conference, WWW 2024
作者: Zhang, Chunxu Long, Guodong Zhou, Tianyi Zhang, Zijian Yan, Peng Yang, Bo College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Australian Artificial Intelligence Institute FEIT University of Technology Sydney Sydney Australia Computer Science and Umiacs University of Maryland MD United States College of Computer Science and Technology Jilin University City University of Hong Kong Hong Kong City University of Hong Kong Hong Kong
Federated recommendation system usually trains a global model on the server without direct access to users' private data on their own devices. However, this separation of the recommendation model and users' pr... 详细信息
来源: 评论
Hybrid Parameter Update: Alleviating Imbalance Impacts for Distributed Deep Learning
Hybrid Parameter Update: Alleviating Imbalance Impacts for D...
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IEEE International Conference on High Performance Computing and Communications (HPCC)
作者: Hongliang Li Dong Xu Zhewen Xu Xiang Li College of Computer Science and Technology Jilin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education Changchun China
Nowadays, data parallelism has been widely applied to train large datasets on distributed deep learning clusters, but it has suffered from costly global parameter updates at batch barriers. Performance imbalance among... 详细信息
来源: 评论