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A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media 期刊论文
IEEE Transactions on Computational Social Systems, 2023, 页码: 246-254
作者:  Liu, Lin;  Cao, Zhidong;  Zhao, Pengfei;  Paul Jen-Hwa Hu;  Zeng, Dajun;  Luo, Yin
Adobe PDF(2871Kb)  |  收藏  |  浏览/下载：112/30  |  提交时间：2023/05/30
Coronavirus disease of 2019 (COVID-19)  deep learning  public sentiment analysis  social media  social stigma  
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 3, 页码: 45-53
作者:  Zeng, Zhixiong;  Xu, Nan;  Mao, Wenji;  Zeng, Daniel
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载：276/42  |  提交时间：2022/09/19
Semantics  Representation learning  Task analysis  Matrix decomposition  Automation  Interference  Intelligent systems  Cross-modal Retrieval  Representation Learning  Orthogonal Decomposition  
Quantum Probability-inspired Graph Neural Network for Document Representation and Classification 期刊论文
Neurocomputing, 2021, 卷号: 445, 页码: 276-286
作者:  Yan, Peng;  Li, Lingjing;  Jin, Miaotianzi;  Zeng, Daniel
Adobe PDF(1744Kb)  |  收藏  |  浏览/下载：247/106  |  提交时间：2022/06/16
Natural language processing  Document representation  Document classification  Graph neural network  Quantum probability  
Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 14
作者:  Zheng, Xiaolong;  Tian, Hu;  Wan, Zhe;  Wang, Xiao;  Zeng, Daniel Dajun;  Wang, Fei-Yue
Adobe PDF(8005Kb)  |  收藏  |  浏览/下载：214/15  |  提交时间：2022/01/27
Social networking (online)  Dictionaries  Stock markets  Investment  Games  Analytical models  Market research  Dynamic interaction network  financial market  GameStop  short squeeze  social network analysis  
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
作者:  Yan, Peng;  Li, Linjing;  Zeng, Daniel
收藏  |  浏览/下载：242/0  |  提交时间：2021/12/28
Natural language processing  Quantum probability  Graph attention network  
Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks 期刊论文
IEEE Intelligent Systems, 2020, 卷号: Early Access, 期号: Early Access, 页码: 1-1
作者:  Wanting Wen;  Daniel D. Zeng;  Jie Bai;  Kang Zhao;  Ziqiang Li
浏览  |  Adobe PDF(516Kb)  |  收藏  |  浏览/下载：198/80  |  提交时间：2020/10/21
Heterogeneous networks  Task analysis  Intelligent systems  Learning (artificial intelligence)  
HiWalk: Learning node embeddings from heterogeneous networks 期刊论文
INFORMATION SYSTEMS, 2019, 卷号: 81, 期号: 1, 页码: 82-91
作者:  Bai, Jie;  Li, Linjing;  Zeng, Daniel
浏览  |  Adobe PDF(776Kb)  |  收藏  |  浏览/下载：372/75  |  提交时间：2019/07/12
Network analysis  Representation learning  Behavioral analysis  Random walk  Heterogeneous network  
Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 卷号: 29, 期号: 12, 页码: 2655-2668
作者:  Bai, Jie;  Li, Linjing;  Zeng, Daniel;  Li, Qiudan
浏览  |  Adobe PDF(3183Kb)  |  收藏  |  浏览/下载：399/80  |  提交时间：2018/01/04
Text Analysis  Knowledge Representation  Cognitive Simulation  Association Rules  
Mining opinion summarizations using convolutional neural networks in Chinese microblogging systems 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2016, 卷号: 107, 期号: 1, 页码: 289-300
作者:  Li, Qiudan;  Jin, Zhipeng;  Wang, Can;  Zeng, Daniel Dajun;  Daniel Dajun Zeng
Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：920/364  |  提交时间：2016/10/23
Chinese Microblogging Systems  Hot Topics  Convolutional Neural Network  Opinion Summarization  Maximal Marginal Relevance  
Comorbidity Analysis According to Sex and Age in Hypertension Patients in China 期刊论文
INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2016, 卷号: 13, 期号: 2, 页码: 99-107
作者:  Liu, Jiaqi;  Ma, James;  Wang, Jiaojiao;  Zeng, Daniel Dajun;  Song, Hongbin;  Wang, Ligui;  Cao, Zhidong;  Zhidong Cao
Adobe PDF(771Kb)  |  收藏  |  浏览/下载：400/87  |  提交时间：2016/04/19
Hypertension  Comorbidity  Electronic Medical Records  Detection Rate  Network Analysis