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NIR-II fluorescence-guided liver cancer surgery by a small molecular HDAC6 targeting probe 期刊论文
EBIOMEDICINE, 2023, 卷号: 98, 页码: 18
作者:  Wang, Bo;  Tang, Chu;  Lin, En;  Jia, Xiaohua;  Xie, Ganyuan;  Li, Peiping;  Li, Decheng;  Yang, Qiyue;  Guo, Xiaoyong;  Cao, Caiguang;  Shi, Xiaojing;  Zou, Baojia;  Cai, Chaonong;  Tian, Jie;  Hu, Zhenhua;  Li, Jian
Adobe PDF(4013Kb)  |  收藏  |  浏览/下载：135/1  |  提交时间：2024/02/22
Hepatocellular carcinoma  Second near-infrared window  Molecular imaging  HDAC6  Fluorescence guided surgery  
GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8419-8432
作者:  Lian, Zheng;  Chen, Lan;  Sun, Licai;  Liu, Bin;  Tao, Jianhua
Adobe PDF(3959Kb)  |  收藏  |  浏览/下载：165/5  |  提交时间：2023/11/17
Oral communication  Correlation  Data models  Task analysis  Feature extraction  Tensors  Benchmark testing  Conversational data  graph complete network (GCNet)  incomplete multimodal learning  speaker-sensitive modeling  temporal-sensitive modeling  
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载：417/40  |  提交时间：2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm  
PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:  Lian, Zheng;  Liu, Bin;  Tao, Jianhua
Adobe PDF(2013Kb)  |  收藏  |  浏览/下载：399/7  |  提交时间：2022/09/19
Emotion recognition  Iterative methods  Context modeling  Psychology  Oral communication  Logic gates  Learning systems  Contextual information  emotion recognition in conversation (ERC)  iterative method  Personality-enhanced Iterative Refinement Network (PIRNet)  personality influence  
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载：315/86  |  提交时间：2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594
作者:  Yun, Xiao-Long;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(3236Kb)  |  收藏  |  浏览/下载：299/1  |  提交时间：2022/07/25
Handwriting recognition  Task analysis  Grammar  Semantics  Image segmentation  Trajectory  Text recognition  Online handwritten diagram recognition  symbol segmentation  symbol recognition  freehand sketch analysis  graph neural networks  
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 229, 页码: 11
作者:  Liu, Bo;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：370/78  |  提交时间：2021/11/04
Zero-shot learning  Visual-semantic embedding  Out-of-distribution detection  
Self-supervised graph representation learning via bootstrapping 期刊论文
NEUROCOMPUTING, 2021, 卷号: 456, 页码: 88-96
作者:  Che, Feihu;  Yang, Guohua;  Zhang, Dawei;  Tao, Jianhua;  Liu, Tong
Adobe PDF(1379Kb)  |  收藏  |  浏览/下载：387/66  |  提交时间：2021/11/03
Graph representation learning  Self-supervised  Bootstrapping  Graph neural network  
An Iterative Co-Training Transductive Framework for Zero Shot Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6943-6956
作者:  Liu, Bo;  Hu, Lihua;  Dong, Qiulei;  Hu, Zhanyi
Adobe PDF(2452Kb)  |  收藏  |  浏览/下载：284/63  |  提交时间：2021/11/02
Visualization  Semantics  Training  Feature extraction  Testing  Detectors  Predictive models  Zero-shot learning  transductive learning co-training  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：246/58  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning