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A prompt-based approach to adversarial example generation and robustness enhancement 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2024, 卷号: 18, 期号: 4, 页码: 12
作者:  Yang, Yuting;  Huang, Pei;  Cao, Juan;  Li, Jintao;  Lin, Yun;  Ma, Feifei
收藏  |  浏览/下载：9/0  |  提交时间：2024/05/20
robustness  adversarial example  prompt learning  pre-trained language model  
WGformer: A Weibull-Gaussian Informer based model for wind speed prediction 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 131, 页码: 20
作者:  Shi, Ziyi;  Li, Jia;  Jiang, Zheyuan;  Li, Huang;  Yu, Chengqing;  Mi, Xiwei
收藏  |  浏览/下载：12/0  |  提交时间：2024/05/20
Wind speed forecasting  Weibull-Gaussian transform  Informer  Kernel mean square error loss  Deep learning  
MRFI: An Open-Source Multiresolution Fault Injection Framework for Neural Network Processing 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2024, 页码: 11
作者:  Huang, Haitong;  Liu, Cheng;  Xue, Xinghua;  Liu, Bo;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：11/0  |  提交时间：2024/05/20
Biological neural networks  Hardware  Reliability  Computational modeling  Neural networks  Fault tolerant systems  Fault tolerance  Fault evaluation  fault injection  fault simulation  multiresolution  neural network reliability  
PELE scores: pelvic X-ray landmark detection with pelvis extraction and enhancement 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2024, 页码: 12
作者:  Huang, Zhen;  Li, Han;  Shao, Shitong;  Zhu, Heqin;  Hu, Huijie;  Cheng, Zhiwei;  Wang, Jianji;  Kevin Zhou, S.
收藏  |  浏览/下载：16/0  |  提交时间：2024/05/20
Bone extraction  CT structural knowledge  Landmark detection  Pelvis X-rays  
Learning Hierarchical Modular Networks for Video Captioning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 2, 页码: 1049-1064
作者:  Li, Guorong;  Ye, Hanhua;  Qi, Yuankai;  Wang, Shuhui;  Qing, Laiyun;  Huang, Qingming;  Yang, Ming-Hsuan
收藏  |  浏览/下载：8/0  |  提交时间：2024/05/20
Video captioning  hierarchical modular network  scene-graph reward  reinforcement learning