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Personalized graph neural networks with attention mechanism for session-aware recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 34, 期号: 8, 页码: 3946-3957
作者:  Mengqi Zhang;  Shu Wu;  Meng Gao;  Xin Jiang;  Ke Xu;  Liang Wang
Adobe PDF(1277Kb)  |  收藏  |  浏览/下载：155/52  |  提交时间：2023/07/03
Combination of Convolutional Neural Networks and Recurrent Neural Networks for predicting soil properties using Vis–NIR spectroscopy 期刊论文
Geoderma, 2020, 期号: 380, 页码: 114616
作者:  杨杰超;  王学雷;  王瑞华;  王焕杰
Adobe PDF(4483Kb)  |  收藏  |  浏览/下载：222/58  |  提交时间：2021/05/28
Vis–NIR spectroscopy  Convolutional Neural Network  Recurrent Neural Network  Soil properties estimation  
Multi-Level Correlation Adversarial Hashing for Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3101-3114
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(4322Kb)  |  收藏  |  浏览/下载：341/66  |  提交时间：2021/03/01
Semantics  Correlation  Aircraft propulsion  Deep learning  Bridges  Aircraft  Task analysis  Cross-modal retrieval  adversarial hashing  multi-level correlation  
Conducting Natural Language Inference with Word-Pair-Dependency and Local Context 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 卷号: 19, 期号: 3, 页码: 23
作者:  Du, Qianlong;  Zong, Chengqing;  Su, Keh-Yih
浏览  |  Adobe PDF(1838Kb)  |  收藏  |  浏览/下载：247/70  |  提交时间：2021/01/06
Natural language inference  textual entailment  syntactic relation  local context  relation triplet  word-pair dependency  
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：317/61  |  提交时间：2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability  
DM-SLAM: Monocular SLAM in Dynamic Environments 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 12, 页码: 16
作者:  Lu, Xiaoyun;  Wang, Hu;  Tang, Shuming;  Huang, Huimin;  Li, Chuang
浏览  |  Adobe PDF(3615Kb)  |  收藏  |  浏览/下载：326/66  |  提交时间：2020/08/21
static features extraction  dynamic environments  3D reconstruction  monocular SLAM  
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：366/61  |  提交时间：2020/07/06
data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)  
Quantitative Assessment of Upper-Limb Motor Function for Post-Stroke Rehabilitation Based on Motor Synergy Analysis and Multi-Modality Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 4, 页码: 943-952
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Li, Jingyue;  Zhang, Tong;  Zhao, Jun
Adobe PDF(2148Kb)  |  收藏  |  浏览/下载：344/58  |  提交时间：2020/06/22
Post-stroke hemiparesis  upper limb functional assessment  motor synergies  multi-modality fusion  motion capture technology  electromyography (EMG)  
Meta-path Augmented Sequential Recommendation with Contextual Co-attention Network 期刊论文
ACM Transactions on Multimedia Computing, Communications, and Applications(TOMM), 2020, 卷号: 16, 期号: 2, 页码: 1-24
作者:  Huang, Xiaowen;  Qian, Shengsheng;  Fang, Quan;  Sang, Jitao;  Xu, Changsheng
浏览  |  Adobe PDF(2250Kb)  |  收藏  |  浏览/下载：359/117  |  提交时间：2020/06/11
user modeling  sequential recommendation  self-attention  co-attention  meta-path  heterogenous information network  
Deep Self-Evolution Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 809-823
作者:  Chang, Jianlong;  Meng, Gaofeng;  Wang, Lingfeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(4817Kb)  |  收藏  |  浏览/下载：439/95  |  提交时间：2020/06/02
Task analysis  Unsupervised learning  Training  Clustering methods  Pattern analysis  Clustering  deep self-evolution clustering  self-evolution clustering training  deep unsupervised learning