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Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study (dec, 10.1055/a-2161-9369, 2023) 期刊论文
ULTRASCHALL IN DER MEDIZIN, 2024, 页码: 1
作者:  Zhu, Yangyang;  Meng, Zheling;  Wu, Hao;  Fan, Xiao;  Lv, Wenhao;  Tian, Jie;  Wang, Kun;  Nie, Fang
收藏  |  浏览/下载：9/0  |  提交时间：2024/07/03
Seq2Set2Seq: A Two-stage Disentangled Method for Reply Keyword Generation in Social Media 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2024, 卷号: 23, 期号: 3, 页码: 20
作者:  Liu, Jie;  Li, Yaguang;  He, Shizhu;  Wu, Shun;  Liu, Kang;  Liu, Shenping;  Wang, Jiong;  Zhang, Qing
收藏  |  浏览/下载：31/0  |  提交时间：2024/05/30
Social media reply  keyword prediction  text generation  multi-label classification  determinantal point processes  
Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study 期刊论文
ULTRASCHALL IN DER MEDIZIN, 2023, 页码: 11
作者:  Zhu, Yangyang;  Meng, Zheling;  Wu, Hao;  Fan, Xiao;  Lv, Wenhao;  Tian, Jie;  Wang, Kun;  Nie, Fang
收藏  |  浏览/下载：100/0  |  提交时间：2024/02/22
Multimodal Ultrasound  Metastatic Cervical Lymphadenopathy  Deep Learning  Primary Cancer Sites  
Description-Enhanced Label Embedding Contrastive Learning for Text Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Zhang, Kun;  Wu, Le;  Lv, Guangyi;  Chen, Enhong;  Ruan, Shulan;  Liu, Jing;  Zhang, Zhiqiang;  Zhou, Jun;  Wang, Meng
收藏  |  浏览/下载：152/0  |  提交时间：2023/11/17
Contrastive learning (CL)  label embedding  representation learning  text classification  
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Li, Kai;  Xu, Hang;  Zhao, Enmin;  Wu, Zhe;  Xing, Junliang
收藏  |  浏览/下载：135/0  |  提交时间：2023/11/17
Artificial intelligence (AI)  benchmark  imperfect-information game  Nash equilibrium  no-limit Texas hold'em (NLTH)  
Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文
IEEE SENSORS JOURNAL, 2022, 页码: 1-1
作者:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao
Adobe PDF(5175Kb)  |  收藏  |  浏览/下载：349/125  |  提交时间：2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
Dynamic reconfiguration of human brain networks across altered states of consciousness 期刊论文
BEHAVIOURAL BRAIN RESEARCH, 2022, 卷号: 419, 页码: 11
作者:  Liu, Haiyang;  Hu, Ke;  Peng, Yingjie;  Tian, Xiaohan;  Wang, Meng;  Ma, Bo;  Wu, Youxuan;  Sun, Wanchen;  Liu, Bing;  Li, Ang;  Han, Ruquan
Adobe PDF(6615Kb)  |  收藏  |  浏览/下载：323/23  |  提交时间：2022/06/06
Functional magnetic resonance imaging  Multilayer networks  Dynamic functional connectivity  Consciousness  Sedation  Dexmedetomidine  
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Tian, Yonglin;  Huang, Lichao;  Yu, Hui;  Wu, Xiangbin;  Li, Xuesong;  Wang, Kunfeng;  Wang, Zilei;  Wang, Fei-Yue
收藏  |  浏览/下载：227/0  |  提交时间：2022/01/27
Three-dimensional displays  Feature extraction  Convolution  Proposals  Kernel  Laser radar  Semantics  Point clouds  3D detection  dynamic network  context features  
Cross-attention-map-based regularization for adversarial domain adaptation 期刊论文
NEURAL NETWORKS, 2022, 卷号: 145, 页码: 128-138
作者:  Jingwei, Li;  Huanjie, Wang;  Ke, Wu;  Chengbao, Liu;  Jie, Tan
Adobe PDF(1969Kb)  |  收藏  |  浏览/下载：275/15  |  提交时间：2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning  
Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score 期刊论文
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 9
作者:  Hu, Ke;  Wang, Meng;  Liu, Yong;  Yan, Hao;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Yang, Yongfeng;  Li, Peng;  Lu, Lin;  Yan, Jun;  Wang, Huiling;  Zhang, Hongxing;  Zhang, Dai;  Wu, Huawang;  Ning, Yuping;  Jiang, Tianzi;  Liu, Bing
Adobe PDF(999Kb)  |  收藏  |  浏览/下载：272/22  |  提交时间：2021/12/28
Schizophrenia  Classification  Structural magnetic resonance imaging  Gray matter volume  Polygenic risk score  Machine learning