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Bayesian dual neural networks for recommendation 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 期号: 6, 页码: 1255-1265
作者:  He, Jia;  Zhuang, Fuzhen;  Liu, Yanchi;  He, Qing;  Lin, Fen
收藏  |  浏览/下载:312/0  |  提交时间:2019/12/10
collaborative filtering  Bayesian neural network  hybrid recommendation algorithm  
Knowledge triple mining via multi-task learning 期刊论文
INFORMATION SYSTEMS, 2019, 卷号: 80, 页码: 64-75
作者:  Zhang, Zhao;  Zhuang, Fuzhen;  Li, Xuebing;  Niu, Zheng-Yu;  He, Jia;  He, Qing;  Xiong, Hui
收藏  |  浏览/下载:80/0  |  提交时间:2019/04/03
Multi-task learning  Knowledge mining  Relation extraction  Knowledge graph construction  
Self-organizing weighted incremental probabilistic latent semantic analysis 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2018, 卷号: 9, 期号: 12, 页码: 1987-1998
作者:  Li, Ning;  Luo, Wenjuan;  Yang, Kun;  Zhuang, Fuzhen;  He, Qing;  Shi, Zhongzhi
收藏  |  浏览/下载:76/0  |  提交时间:2019/08/16
Probabilistic latent semantic analysis  Weighted incremental learning  Similarity  Big data  
Transfer collaborative filtering from multiple sources via consensus regularization 期刊论文
NEURAL NETWORKS, 2018, 卷号: 108, 页码: 287-295
作者:  Zhuang, Fuzhen;  Zheng, Jing;  Chen, Jingwu;  Zhang, Xiangliang;  Shi, Chuan;  He, Qing
收藏  |  浏览/下载:89/0  |  提交时间:2019/08/16
Collaborative filtering  Transfer learning  Multiple sources  Consensus regularization  
Predicting compositional time series via autoregressive Dirichlet estimation 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 9, 页码: 3
作者:  Zhou, Ganbin;  Luo, Ping;  He, Qing
收藏  |  浏览/下载:49/0  |  提交时间:2019/12/10
Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 8, 页码: 2284-2293
作者:  Zhuang, Fuzhen;  Li, Xuebing;  Jin, Xin;  Zhang, Dapeng;  Qiu, Lirong;  He, Qing
收藏  |  浏览/下载:76/0  |  提交时间:2019/12/10
Heterogeneous features  multitask learning (MTL)  non-negative matrix factorization (NMF)  semantic feature learning  
Mining Precise-Positioning Episode Rules from Event Sequences 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2018, 卷号: 30, 期号: 3, 页码: 530-543
作者:  Ao, Xiang;  Luo, Ping;  Wang, Jin;  Zhuang, Fuzhen;  He, Qing
收藏  |  浏览/下载:49/0  |  提交时间:2019/12/10
Episode rule mining  gap-constrained episode  sequence mining  
Representation learning via Dual-Autoencoder for recommendation 期刊论文
NEURAL NETWORKS, 2017, 卷号: 90, 页码: 83-89
作者:  Zhuang, Fuzhen;  Zhang, Zhiqiang;  Qian, Mingda;  Shi, Chuan;  Xie, Xing;  He, Qing
收藏  |  浏览/下载:62/0  |  提交时间:2019/12/12
Matrix factorization  Dual-Autoencoder  Recommendation  Representation learning  
Integrating heterogeneous information via flexible regularization framework for recommendation 期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2016, 卷号: 49, 期号: 3, 页码: 835-859
作者:  Shi, Chuan;  Liu, Jian;  Zhuang, Fuzhen;  Yu, Philip S.;  Wu, Bin
收藏  |  浏览/下载:52/0  |  提交时间:2019/12/13
Recommender system  Heterogeneous information network  Matrix factorization  Similarity measure  
Bag of little bootstraps on features for enhancing classification performance 期刊论文
INTELLIGENT DATA ANALYSIS, 2016, 卷号: 20, 期号: 5, 页码: 1085-1099
作者:  Wang, Haocheng;  Zhuang, Fuzhen;  Jin, Xin;  Ao, Xiang;  He, Qing
收藏  |  浏览/下载:48/0  |  提交时间:2019/12/13
Ensemble learning  bag of little bootstraps on features  high-dimensional data  classification