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面向自然语言的量子概率启发图神经网络及其应用研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  闫鹏
Adobe PDF(7043Kb)  |  Favorite  |  View/Download：151/8  |  Submit date：2022/06/15
量子概率  图神经网络  自然语言处理  文本分类  情感分析  
Quantum Probability-inspired Graph Attention Network for Modeling Complex Text Interaction 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 234, 页码: 12
Authors:  Yan, Peng;  Li, Linjing;  Zeng, Daniel
Favorite  |  View/Download：160/0  |  Submit date：2021/12/28
Natural language processing  Quantum probability  Graph attention network  
Quantum Probability-inspired Graph Neural Network for Document Representation and Classification 期刊论文
Neurocomputing, 2021, 卷号: 445, 页码: 276-286
Authors:  Yan, Peng;  Li, Lingjing;  Jin, Miaotianzi;  Zeng, Daniel
Adobe PDF(1744Kb)  |  Favorite  |  View/Download：132/40  |  Submit date：2022/06/16
Natural language processing  Document representation  Document classification  Graph neural network  Quantum probability  
Quantum-Inspired Density Matrix Encoder for Sexual Harassment Personal Stories Classification 会议论文
, Shenzhen, China, 2019-7-1 ~ 2019-7-3
Authors:  Yan, Peng;  Li, Linjing;  Chen, Weiyun;  Zeng, Daniel
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A Shortcut-Stacked Document Encoder for Extractive Text Summarization 会议论文
, Budapest, Hungary, 2019.7.14-19
Authors:  Yan, Peng;  Li, Linjing;  Zeng, Daniel
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Convergence Analysis of a New MaxMin-SOMO Algorithm 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 4, 页码: 534-542
Authors:  Atlas Khan;  Yan-Peng Qu
View  |  Adobe PDF(1429Kb)  |  Favorite  |  View/Download：72/16  |  Submit date：2021/02/22
Optimization  self organizing map (SOM)  SOM-based optimization (SOMO) algorithm  particle swarm optimization (PSO)  genetic algorithms (GAs).  
Retrospective analysis of time series for frame selection in surveillance video summarization 期刊论文
SIGNAL IMAGE AND VIDEO PROCESSING, 2017, 卷号: 11, 期号: 4, 页码: 581-588
Authors:  Gao, Zhen;  Lu, Guoliang;  Yan, Peng;  Wang, Liang
Favorite  |  View/Download：123/0  |  Submit date：2018/10/10
Video Summarization  Retrospective Analysis Of Time Series  Key-frame Selection  Surveillance Videos