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	Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11 作者: Peng, Xinyu; Wang, Fei-Yue; Li, Li 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/06/06 Training Estimation Deep learning Standards Optimization Noise measurement Convergence Deep learning generalization performance nontypicality sampling scheme stochastic gradient descent (SGD)
	A PID-incorporated Latent Factorization of Tensors Approach to Dynamically Weighted Directed Network Analysis 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 533-546 作者: Hao Wu; Xin Luo; MengChu Zhou; Muhyaddin J. Rawa; Khaled Sedraoui 收藏 \| 浏览/下载：54/0 \| 提交时间：2022/03/09 Big data high dimensional and incomplete (HDI) tensor latent factorization-of-tensors (LFT) machine learning missing data optimization proportional-integral-derivative (PID) controller
	A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 812-833 作者: Xinlei Yi; Shengjun Zhang; Tao Yang; Tianyou Chai; Karl Henrik Johansson 收藏 \| 浏览/下载：40/0 \| 提交时间：2022/04/24 Distributed nonconvex optimization linear speedup Polyak-Łojasiewicz (P-Ł) condition primal-dual algorithm stochastic gradient descent
	Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Peng, Xinyu; Zhang, Jiawei; Wang, Fei-Yue; Li, Li 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/01/27 Training Signal to noise ratio Mutual information Optimization Convergence Deep learning Tools Information bottleneck (IB) theory machine learning minibatch stochastic gradient descent (SGD) typicality sampling
	A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model 期刊论文 NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39 作者: Li, Jinli; Yuan, Ye; Ruan, Tao; Chen, Jia; Luo, Xin 收藏 \| 浏览/下载：21/0 \| 提交时间：2021/03/17 Big data Stochastic gradient descent Proportional integral derivation PID controller High-dimensional and sparse matrix Latent factor analysis
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者: Luo, Xin; Qin, Wen; Dong, Ani; Sedraoui, Khaled; Zhou, MengChu 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/03/17 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)
	Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926 作者: Luo, Xin; Wang, Dexian; Zhou, MengChu; Yuan, Huaqiang 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/03/17 Big data bi-linear collaborative filtering (CF) high-dimensional and sparse (HiDS) matrix industry latent factor (LF) analysis missing data recommender system
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者: Xin Luo; Wen Qin; Ani Dong; Khaled Sedraoui; MengChu Zhou 收藏 \| 浏览/下载：25/0 \| 提交时间：2021/04/09 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)
	WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system 期刊论文 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2020, 卷号: 145, 页码: 202-216 作者: Cheng Daning; Li Shigang; Zhang Yunquan 收藏 \| 浏览/下载：33/0 \| 提交时间：2020/12/10 SGD Unbalanced workload SimuParallel SGD Distributed system
	Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659 作者: Peng, Xinyu; Li, Li; Wang, Fei-Yue 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/01/06 Training Convergence Approximation algorithms Stochastic processes Estimation Optimization Acceleration Batch selection machine learning minibatch stochastic gradient descent (SGD) speed of convergence

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