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A Real-Time Road Boundary Detection Approach in Surface Mine Based on Meta Random Forest 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 1989-2001
作者:  Ai, Yunfeng;  Song, Ruiqi;  Huang, Chongqing;  Cui, Chenglin;  Tian, Bin;  Chen, Long
收藏  |  浏览/下载：4/0  |  提交时间：2024/07/22
Roads  Point cloud compression  Laser radar  Random forests  Metalearning  Surface treatment  Feature extraction  Road boundary detection  Point Cloud  meta learning  random forest  few shot classification  autonomous driving  
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression 期刊论文
ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, 卷号: 23, 期号: 2, 页码: 1-19
作者:  Zhao Yang;  Yuanzhe Zhang;  Dianbo Sui;  Yiming Ju;  Jun Zhao;  Kang Liu
Adobe PDF(1250Kb)  |  收藏  |  浏览/下载：59/21  |  提交时间：2024/05/30
Explanation  knowledge distillation  model compression  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：48/19  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records  
Towards Unified Multi-Domain Machine Translation With Mixture of Domain Experts 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2023, 卷号: 31, 页码: 3488-3498
作者:  Lu, Jinliang;  Zhang, Jiajun
Adobe PDF(2882Kb)  |  收藏  |  浏览/下载：161/14  |  提交时间：2023/12/21
Machine Translation  Multi-domain  Mixture-of-expert  
Progressive polarization based reflection removal via realistic training data generation 期刊论文
PATTERN RECOGNITION, 2022, 卷号: 124, 页码: 13
作者:  Pang, Youxin;  Yuan, Mengke;  Fu, Qiang;  Ren, Peiran;  Yan, Dong-Ming
Adobe PDF(4985Kb)  |  收藏  |  浏览/下载：347/48  |  提交时间：2022/02/16
Deep learning  Reflection removal  Polarization  Progressive network  Convolutional neural networks  
SADRL: Merging human experience with machine intelligence via supervised assisted deep reinforcement learning 期刊论文
NEUROCOMPUTING, 2022, 卷号: 467, 页码: 300-309
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Jin, Junchen;  Huang, Yanhao;  Zhang, Jun Jason;  Wang, Fei-Yue
Adobe PDF(1244Kb)  |  收藏  |  浏览/下载：344/76  |  提交时间：2021/12/28
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Double DQN  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
作者:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  收藏  |  浏览/下载：331/47  |  提交时间：2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning  
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：346/81  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning  
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1239-1251
作者:  Cao, Min;  Chen, Chen;  Dou, Hao;  Hu, Xiyuan;  Peng, Silong;  Kuijper, Arjan
收藏  |  浏览/下载：294/0  |  提交时间：2021/06/07
Probes  Feature extraction  Computational complexity  Visualization  Manifolds  Context modeling  Training  Contextual information  person re-identification  post-processing  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：323/31  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)