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CASIA OpenIR
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Risk of drug-drug interactions in China's fight against COVID-19 and beyond 期刊论文
PHARMACOLOGICAL RESEARCH, 2023, 卷号: 196, 页码: 2
作者:  Zhang, Qingpeng;  Yang, Jiannan;  Zeng, Daniel Dajun;  Feng, Yibin;  Wong, Ian C. K.
收藏  |  浏览/下载：22/0  |  提交时间：2024/03/26
Drug interactions  Protein-protein interactions  Network science  COVID-19  
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:  Tian, Hu;  Zhang, Xingwei;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：51/0  |  提交时间：2023/11/17
Gated recurrent unit  graph representation learning  learning dynamic dependencies  stock prediction system  
Boosting deep cross-modal retrieval hashing with adversarially robust training 期刊论文
APPLIED INTELLIGENCE, 2023, 页码: 13
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun
收藏  |  浏览/下载：87/0  |  提交时间：2023/11/17
Cross-modal retrieval  Adversarial training  Deep hashing model  Deep neural network  
Optimal adaptive nonpharmaceutical interventions to mitigate the outbreak of respiratory infections following the COVID-19 pandemic: a deep reinforcement learning study in Hong Kong, China 期刊论文
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2023, 页码: 9
作者:  Yao, Yao;  Zhou, Hanchu;  Cao, Zhidong;  Zeng, Daniel Dajun;  Zhang, Qingpeng
收藏  |  浏览/下载：90/0  |  提交时间：2023/11/17
Covid-19  reinforcement learning  artificial intelligence  machine learning  mathematical modelling  infectious diseases  
Robust Monitor for Industrial IoT Condition Prediction 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629
作者:  Zhang, Xingwei;  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Dajun
收藏  |  浏览/下载：64/0  |  提交时间：2023/11/17
Perturbation methods  Monitoring  Industrial Internet of Things  Training  Predictive models  Robustness  Temperature sensors  Adversarial perturbation  adversarial training  Industrial Internet of Things (IIoT)  machine learning (ML)  temporal convolutional network (TCN)  
A cross-lingual transfer learning method for online COVID-19-related hate speech detection 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 234, 页码: 11
作者:  Liu, Lin;  Xu, Duo;  Zhao, Pengfei;  Zeng, Daniel Dajun;  Hu, Paul Jen-Hwa;  Zhang, Qingpeng;  Luo, Yin;  Cao, Zhidong
收藏  |  浏览/下载：131/0  |  提交时间：2023/11/16
COVID-19  Deep learning  Cross-lingual  Hate speech detection  Natural language processing  
Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong 期刊论文
CHAOS, 2023, 卷号: 33, 期号: 1, 页码: 8
作者:  Cheng, Weibin;  Zhou, Hanchu;  Ye, Yang;  Chen, Yifan;  Jing, Fengshi;  Cao, Zhidong;  Zeng, Daniel Dajun;  Zhang, Qingpeng
收藏  |  浏览/下载：273/0  |  提交时间：2023/03/20
Hashing Fake: Producing Adversarial Perturbation for Online Privacy Protection Against Automatic Retrieval Models 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：242/0  |  提交时间：2022/11/14
Perturbation methods  Semantics  Computational modeling  Codes  Task analysis  Privacy  Software  Adversarial perturbation  deep neural network (DNN)  privacy protection  semantic retrieval  
Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Liu, Bin;  Wang, Xiao;  Mao, Wenji;  Zeng, Daniel Dajun;  Wang, Fei-Yue
收藏  |  浏览/下载：198/0  |  提交时间：2022/11/14
Training  Task analysis  Semantics  Perturbation methods  Feature extraction  Computational modeling  Robustness  Adversarial perturbation  adversarially robust training  deep hashing  multimodal retrieval  
COMBINING CROWD AND MACHINE INTELLIGENCE TO DETECT FALSE NEWS ON SOCIAL MEDIA 期刊论文
MIS QUARTERLY, 2022, 卷号: 46, 期号: 2, 页码: 977-1008
作者:  Wei, Xuan;  Zhang, Zhu;  Zhang, Mingyue;  Chen, Weiyun;  Zeng, Daniel Dajun
收藏  |  浏览/下载：197/0  |  提交时间：2022/07/25
False news  fake news  wisdom of crowds  hybrid intelligence  graphical model