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CASIA OpenIR
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Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu;  Wang, Liang
Adobe PDF(1134Kb)  |  收藏  |  浏览/下载：142/4  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning  
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis 期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:  Zhang, Chang;  Meng, Xiangzhu;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Ning, Huansheng
Adobe PDF(3483Kb)  |  收藏  |  浏览/下载：133/1  |  提交时间：2023/11/16
Functional magnetic resonance image  Brain network  Federated learning  Deep neural networks  Brain disease diagnosis  
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载：215/70  |  提交时间：2023/07/06
Learning Latent Relations for Temporal Knowledge Graph Reasoning 会议论文
, Toronto, Canada, 2023-7-9
作者:  Mengqi Zhang;  Yuwei Xia;  Qiang Liu;  Shu Wu;  Liang Wang
Adobe PDF(1574Kb)  |  收藏  |  浏览/下载：370/221  |  提交时间：2023/07/03
Dynamic Graph Neural Networks for Sequential Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 卷号: 35, 期号: 5, 页码: 4741-4753
作者:  Mengqi Zhang;  Shu Wu;  Xueli Yu;  Qiang Liu;  Liang Wang
Adobe PDF(1269Kb)  |  收藏  |  浏览/下载：171/55  |  提交时间：2023/07/03
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting 会议论文
, 维也纳, 2022
作者:  Yu HY(俞宏远);  Li, Ting;  Yu WC(余玮宸);  Li, Jianguo;  Huang Y(黄岩);  Wang L(王亮);  Liu, Alex
Adobe PDF(4154Kb)  |  收藏  |  浏览/下载：304/107  |  提交时间：2022/06/14
Cyclic Differentiable Architecture Search 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 卷号: 2022, 期号: TPAMI.2022.3153065, 页码: DOI 10.1109
作者:  Yu HY(俞宏远);  Peng HW(彭厚文);  Huang Y(黄岩);  Fu JL(傅建龙);  Du, Hao;  Wang L(王亮);  Lin, Haibin
Adobe PDF(5244Kb)  |  收藏  |  浏览/下载：287/89  |  提交时间：2022/06/14
Mining Latent Structures for Multimedia Recommendation 会议论文
, Chengdu, China, 2021.10.20-2021.10.24
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Wu, Shu;  Wang, Shuhui;  Wang, Liang
Adobe PDF(3070Kb)  |  收藏  |  浏览/下载：200/53  |  提交时间：2022/04/07
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666
作者:  Wei-Ning Wang;  Qi Li;  Liang Wang
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载：177/26  |  提交时间：2021/02/22
Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 期号: 17, 页码: 1
作者:  Wang, Weining;  Li, Qi;  Wang, Liang
浏览  |  Adobe PDF(9045Kb)  |  收藏  |  浏览/下载：205/57  |  提交时间：2020/09/03
Object tracking, information theoretic measures, correntropy, template update, robust to complex noises