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CASIA OpenIR
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PCEN: Potential Correlation-Enhanced Network for Multimodal Named Entity Recognition 会议论文
, Charlotte, NC, USA, 02-03 October 2023
作者:  Jiakai Geng;  Chenyang Zhang;  Linjing Li;  Qing Yang;  Daniel Zeng
Adobe PDF(4985Kb)  |  收藏  |  浏览/下载：21/4  |  提交时间：2024/05/31
named entity recognition  multimodal learning  vision-language pre-trained model  inconsistency loss  
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：33/0  |  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：64/0  |  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：98/0  |  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：102/0  |  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：74/0  |  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：147/0  |  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：313/0  |  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：253/0  |  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：210/0  |  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