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Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4707-4720
作者:  Cai, Yi;  Lin, Yujun;  Xia, Lixue;  Chen, Xiaoming;  Han, Song;  Wang, Yu;  Yang, Huazhong
收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01
Gradient sparsification  lifetime  neural networks  training-in-memory  wear-leveling  
Neural Serendipity Recommendation: Exploring the Balance between Accuracy and Novelty with Sparse Explicit Feedback 期刊论文
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2020, 卷号: 14, 期号: 4, 页码: 25
作者:  Xu, Yuanbo;  Yang, Yongjian;  Wang, En;  Han, Jiayu;  Zhuang, Fuzhen;  Yu, Zhiwen;  Xiong, Hui
收藏  |  浏览/下载：28/0  |  提交时间：2021/12/01
Serendipity  recommender system  muti-layer percetron  matrix factorization  
TNAM: A tag-aware neural attention model for Top-N recommendation 期刊论文
NEUROCOMPUTING, 2020, 卷号: 385, 页码: 1-12
作者:  Huang, Ruoran;  Wang, Nian;  Han, Chuanqi;  Yu, Fang;  Cui, Li
收藏  |  浏览/下载：42/0  |  提交时间：2020/12/10
Recommender systems  Tag information  Deep learning  Attention networks  
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 737-748
作者:  Han, Jiayu;  Zheng, Lei;  Xu, Yuanbo;  Zhang, Bangzuo;  Zhuang, Fuzhen;  Yu, Philip S.;  Zuo, Wanli
收藏  |  浏览/下载：66/0  |  提交时间：2020/12/10
Adaptation models  Recommender systems  Feature extraction  Computational modeling  Predictive models  Task analysis  Adaptive systems  Adaptive user preference model  attention factor  convolutional neural network (CNN)  recommendation system  
Transfer Learning with Dynamic Distribution Adaptation 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 卷号: 11, 期号: 1, 页码: 25
作者:  Wang, Jindong;  Chen, Yiqiang;  Feng, Wenjie;  Yu, Han;  Huang, Meiyu;  Yang, Qiang
收藏  |  浏览/下载：44/0  |  提交时间：2020/12/10
Transfer learning  domain adaptation  distribution alignment  deep learning  subspace learning  kernel method