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检索条件"机构=Lab of Social Intelligence and Complex Data Processing"
62 条 记 录,以下是1-10 订阅
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Fighting False Information from Propagation Process: A Survey
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ACM COMPUTING SURVEYS 2023年 第10期55卷 1-38页
作者: Sun, Ling Rao, Yuan Wu, Lianwei Zhang, Xiangbo Lan, Yuqian Nazir, Ambreen Xi An Jiao Tong Univ Sch Software Engn Xian Key Lab Social Intelligence & Complex Data P Xian 710049 Shaanxi Peoples R China
The recent serious cases of spreading false information have posed a significant threat to the social stability and even national security, urgently requiring all circles to respond adequately. Therefore, this survey ... 详细信息
来源: 评论
Category-Controlled Encoder-Decoder for Fake News Detection
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IEEE TRANSACTIONS ON KNOWLEDGE AND data ENGINEERING 2023年 第2期35卷 1242-1257页
作者: Wu, Lianwei Rao, Yuan Zhang, Cong Zhao, Yongqiang Nazir, Ambreen Xi An Jiao Tong Univ Sch Software Engn Xian Key Lab Social Intelligence & Complex Data Pr Xian 710054 Shaanxi Peoples R China Xi An Jiao Tong Univ Shaanxi Joint Key Lab Artifact Intelligence Sublab Xian 710054 Shaanxi Peoples R China Xian Huanyu Satellite Control & Data Applicat Co L Xian 710065 Shaanxi Peoples R China
The existing data-driven approaches typically capture credibility-indicative representations from relevant articles for fake news detection, such as skeptical and conflicting opinions. However, these methods still hav... 详细信息
来源: 评论
Joint learning of video scene detection and annotation via multi-modal adaptive context network
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EXPERT SYSTEMS WITH APPLICATIONS 2024年 第PartC期249卷
作者: Xu, Yifei Pan, Litong Sang, Weiguang Luo, Hailun Li, Li Wei, Pingping Zhu, Li Xi An Jiao Tong Univ Sch Software Engn Xian 710049 Shaanxi Peoples R China Xi An Jiao Tong Univ State Key Lab Mfg Syst Engn Xian 710049 Peoples R China Alltuu Inc Hangzhou 310000 Zhejiang Peoples R China Shaanxi Joint Key Lab Artifact Intelligence Xian 710054 Shaanxi Peoples R China Xian Key Lab Social Intelligence & Complex Data Pr Xian 710054 Shaanxi Peoples R China
The tasks of scene detection and annotation have gained impressive attention for understanding video content. The main challenges lie in mitigating the error propagation of shot detection, recognizing cuts and gradual... 详细信息
来源: 评论
HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection  37
HG-SL: Jointly Learning of Global and Local User Spreading B...
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37th AAAI Conference on Artificial intelligence (AAAI) / 35th Conference on Innovative Applications of Artificial intelligence / 13th Symposium on Educational Advances in Artificial intelligence
作者: Sun, Ling Rao, Yuan Lan, Yuqian Xia, Bingcan Li, Yangyang Xi An Jiao Tong Univ Sch Software Engn Xian Key Lab Social Intelligence & Complex Data P Xian Peoples R China Natl Engn Lab Risk Percept & Prevent Beijing Peoples R China
Recently, fake news forgery technology has become more and more sophisticated, and even the profiles of participants may be faked, which challenges the robustness and effectiveness of traditional detection methods inv... 详细信息
来源: 评论
MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction  36
MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Net...
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36th AAAI Conference on Artificial intelligence / 34th Conference on Innovative Applications of Artificial intelligence / 12th Symposium on Educational Advances in Artificial intelligence
作者: Sun, Ling Rao, Yuan Zhang, Xiangbo Lan, Yuqian Yu, Shuanghe Xi An Jiao Tong Univ Sch Software Engn Xian Key Lab Social Intelligence & Complex Data P Xian Peoples R China Shaanxi Joint Key Lab Artifact Intelligence Xian Peoples R China
Predicting the diffusion cascades is a critical task to understand information spread on social networks. Previous methods usually focus on the order or structure of the infected users in a single cascade, thus ignori... 详细信息
来源: 评论
A dual-stream spatial-temporal detector for action recognition  4
A dual-stream spatial-temporal detector for action recogniti...
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4th International Conference on Computer Vision and Pattern Analysis, ICCPA 2024
作者: Wei, Pingping Li, Jiale Liu, Peiran Li, Li Xu, Yifei Wang, Ling State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiao-Tong University Xi’an710049 China School of Software Xi’an Jiao-Tong University Shaanxi Xi’an710049 China Shaanxi Joint Key Laboratory for Artifact Intelligence Shaanxi 710054 China Xi’an Key Laboratory for Social Intelligence and Complex Data Processing Shaanxi 710054 China Alltuu Inc. Zhejiang Hangzhou310000 China
In response to the issue that existing human action recognition models can not make full use of complementary information from different modalities, this thesis proposes a multi-path attention module MA to form the MA... 详细信息
来源: 评论
Graph-based KB and Text Fusion Interaction Network for Open Domain Question Answering
Graph-based KB and Text Fusion Interaction Network for Open ...
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International Joint Conference on Neural Networks (IJCNN)
作者: Ding, Yi Rao, Yuan Yang, Fan Xi An Jiao Tong Univ Sch Software Engn Lab Social Intelligence & Complex Data Proc Xian Peoples R China
The incompleteness of the knowledge base (KB) limits the performance of open domain question answering (QA).Represent the incomplete KB with graph attention network (GAT) and complement the incomplete KB by extra text... 详细信息
来源: 评论
Graph Explicit Attention Network Based on Predefined Strategy  12
Graph Explicit Attention Network Based on Predefined Strateg...
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12th International Conference on Identification, Information and Knowledge in the internet of Things, IIKI 2021
作者: Zhang, Xiangbo Rao, Yuan Sun, Ling Lab of Social Intelligence and Complexity Data Processing School of Software Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China Shannxi Joint Key Laboratory for Artifact Intelligence Sub-Lab of Xi'an Jiaotong University China Research Institute of Xi'an Jiaotong University Shenzhen China
Graph attention network (GAT) has achieved great success in graph representation learning in recent years. However, the lower Physical properties of GAT in training process severely affects the application of attentio... 详细信息
来源: 评论
A Multi-semantics Classification Method Based on Deep Learning for Incredible Messages on social Media
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Chinese Journal of Electronics 2019年 第4期28卷 754-763页
作者: WU Lianwei RAO Yuan YU Hualei WANG Yiming AMBREEN Nazir Lab of Social Intelligence and Complex Data Processing School of Software Engineering Xi'an Jiaotong University
How to classify incredible messages has attracted great attention from academic and industry nowadays. The recent work mainly focuses on one type of incredible messages(a.k.a rumors or fake news) and achieves some suc... 详细信息
来源: 评论
Research on Model and Algorithm of Multiview and Multilabel Classification Based on Nearest-Neighbor Model
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MATHEMATICAL PROBLEMS IN ENGINEERING 2022年 第1期2022卷
作者: Zhang, Junyi Rao, Yuan Xi An Jiao Tong Univ Sch Software Engn Xian Key Lab Social Intelligence & Complex Data Pr Xian Peoples R China Shaanxi Joint Key Lab Artifact Intelligence Xian Peoples R China
In the field of machine learning, multilabel learning gradually evolved from the traditional text classification problem. In this study, a multiview multilabel via optimal classifier chain (MVMLOCC) algorithm based on... 详细信息
来源: 评论