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Adaptively sharing multi-levels of distributed representations in multi-task learning 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 591, 页码: 226-234
作者:  Wang, Tianxin;  Zhuang, Fuzhen;  Sun, Ying;  Zhang, Xiangliang;  Lin, Leyu;  Xia, Feng;  He, Lei;  He, Qing
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Multi-task learning  Deep learning  Machine learning  
Knowledge graph embedding with shared latent semantic units 期刊论文
NEURAL NETWORKS, 2021, 卷号: 139, 页码: 140-148
作者:  Zhang, Zhao;  Zhuang, Fuzhen;  Qu, Meng;  Niu, Zheng-Yu;  Xiong, Hui;  He, Qing
收藏  |  浏览/下载：42/0  |  提交时间：2021/12/01
Knowledge graph  Reinforcement learning  Embedding  
Market-oriented job skill valuation with cooperative composition neural network 期刊论文
NATURE COMMUNICATIONS, 2021, 卷号: 12, 期号: 1, 页码: 12
作者:  Sun, Ying;  Zhuang, Fuzhen;  Zhu, Hengshu;  Zhang, Qi;  He, Qing;  Xiong, Hui
收藏  |  浏览/下载：28/0  |  提交时间：2021/12/01
Softly Associative Transfer Learning for Cross-Domain Classification 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 11, 页码: 4709-4721
作者:  Wang, Deqing;  Lu, Chenwei;  Wu, Junjie;  Liu, Hongfu;  Zhang, Wenjie;  Zhuang, Fuzhen;  Zhang, Hui
收藏  |  浏览/下载：31/0  |  提交时间：2021/12/01
Task analysis  Knowledge transfer  Matrix decomposition  Bridges  Optimization  Data models  Feature extraction  Cross-domain text classification  non-negative matrix tri-factorizations (NMTFs)  softly associative transfer learning (sa-TL)  
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2020, 卷号: 35, 期号: 2, 页码: 305-319
作者:  Zhuang, Fu-Zhen;  Zhou, Ying-Min;  Ying, Hao-Chao;  Zhang, Fu-Zheng;  Ao, Xiang;  Xie, Xing;  He, Qing;  Xiong, Hui
收藏  |  浏览/下载：38/0  |  提交时间：2020/12/10
sequential recommendation  novelty-seeking trait  transfer learning  
Supervised representation learning for multi-label classification 期刊论文
MACHINE LEARNING, 2019, 卷号: 108, 期号: 5, 页码: 747-763
作者:  Huang, Ming;  Zhuang, Fuzhen;  Zhang, Xiao;  Ao, Xiang;  Niu, Zhengyu;  Zhang, Min-Ling;  He, Qing
收藏  |  浏览/下载：90/0  |  提交时间：2019/08/16
Representation learning  Multi-label learning  Two-encoding-layer autoencoder