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Transformer: A General Framework from Machine Translation to Others 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 514-538
作者:  Yang Zhao;  Jiajun Zhang;  Chengqing Zong
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载：52/14  |  提交时间：2024/04/23
Neural machine translation, Transformer, document neural machine translation (NMT), multimodal NMT, low-resource NMT  
A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 370-395
作者:  Wei-Qing Ren;  Yu-Ben Qu;  Chao Dong;  Yu-Qian Jing;  Hao Sun;  Qi-Hui Wu;  Song Guo
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载：55/16  |  提交时间：2024/04/23
Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference  
Visual Superordinate Abstraction for Robust Concept Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 79-91
作者:  Qi Zheng;  Chao-Yue Wang;  Dadong Wang;  a-Cheng Tao
Adobe PDF(2703Kb)  |  收藏  |  浏览/下载：46/13  |  提交时间：2024/04/23
Concept learning  visual question answering  weakly-supervised learning  multi-modal learning  curriculum learning  
Attacks Against Cross-Chain Systems and Defense Approaches: A Contemporary Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1647-1667
作者:  Li Duan;  Yangyang Sun;  Wei Ni;  Weiping Ding;  Jiqiang Liu;  Wei Wang
Adobe PDF(2148Kb)  |  收藏  |  浏览/下载：148/41  |  提交时间：2023/07/20
Blockchain  cross-chain  defense  distributed private key control  hash-locking  notary  security threats  sidechain/relay  
Proximal Alternating-Direction-Method-of- Multipliers-Incorporated Nonnegative Latent Factor Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1388-1406
作者:  Fanghui Bi;  Xin Luo;  Bo Shen;  Hongli Dong;  Zidong Wang
Adobe PDF(2741Kb)  |  收藏  |  浏览/下载：163/60  |  提交时间：2023/05/29
Data science  high-dimensional and incomplete data  knowledge acquisition  industrial application  nonnegative latent factor analysis (NLFA)  proximal alternating direction method of multipliers  representation learning