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CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection 期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:  Huang, Haitao;  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Dajun;  Wang, Feiyue
Adobe PDF(2267Kb)  |  收藏  |  浏览/下载：24/9  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
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：119/0  |  提交时间：2023/11/17
Cross-modal retrieval  Adversarial training  Deep hashing model  Deep neural network  
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：97/0  |  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 multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma 期刊论文
MEDICAL PHYSICS, 2022, 页码: 13
作者:  Wei, Jingwei;  Ji, Qian;  Gao, Yu;  Yang, Xiaozhen;  Guo, Donghui;  Gu, Dongsheng;  Yuan, Chunwang;  Tian, Jie;  Ding, Dawei
收藏  |  浏览/下载：398/0  |  提交时间：2023/03/20
computed tomography  deep learning  hepatocellular carcinoma  histopathological grading  radiomics  
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：232/0  |  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  
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions 期刊论文
INFORMS JOURNAL ON COMPUTING, 2022, 页码: 19
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhao, Kang;  Liu, Maggie Wenjing;  Zeng, Daniel Dajun
Adobe PDF(1329Kb)  |  收藏  |  浏览/下载：351/81  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
Knowledge structure driven prototype learning and verification for fact checking 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 238, 页码: 10
作者:  Wang, Shuai;  Mao, Wenji;  Wei, Penghui;  Zeng, Daniel D.
Adobe PDF(965Kb)  |  收藏  |  浏览/下载：497/90  |  提交时间：2022/06/10
Fact checking  Knowledge structure  Hierarchical prototype learning  Relation enhancement  Verification  
Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis 期刊论文
BMC MEDICINE, 2022, 卷号: 20, 期号: 1, 页码: 15
作者:  Tong, Tong;  Gu, Jionghui;  Xu, Dong;  Song, Ling;  Zhao, Qiyu;  Cheng, Fang;  Yuan, Zhiqiang;  Tian, Shuyuan;  Yang, Xin;  Tian, Jie;  Wang, Kun;  Jiang, Tian'an
Adobe PDF(9703Kb)  |  收藏  |  浏览/下载：403/69  |  提交时间：2022/06/06
Deep learning  Artificial intelligence  Pancreatic ductal adenocarcinoma  Contrast-enhanced ultrasound  Chronic pancreatitis  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：361/72  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：317/59  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome