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	Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 74-87 作者: Bogang Qu; Zidong Wang; Bo Shen; Hongli Dong; Hongjian Liu 收藏 \| 浏览/下载：0/0 \| 提交时间：2024/01/02 Decentralized state estimation (SE) measurements with anomalies minimum error entropy unscented Kalman filter wide-area power systems
	Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1530-1543 作者: Guijun Ma; Zidong Wang; Weibo Liu; Jingzhong Fang; Yong Zhang 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/06/14 Deep transfer learning domain adaptation hyperparameter selection lithium-ion batteries (LIBs) particle swarm optimization state of health estimation (SOH)
	Two-dimensional charge order stabilized in clean polytype heterostructures 期刊论文 NATURE COMMUNICATIONS, 2022, 卷号: 13 作者: Sung, Suk Hyun; Schnitzer, Noah; Novakov, Steve; El Baggari, Ismail; Luo, Xiangpeng 收藏 \| 浏览/下载：33/0 \| 提交时间：2022/02/21
	Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 4, 页码: 1737-1749 作者: Liu, Zhigang; Luo, Xin; Wang, Zidong 收藏 \| 浏览/下载：118/0 \| 提交时间：2021/05/17 Manganese Convergence Computational modeling Learning systems Analytical models Sparse matrices Big Data Big data convergence high-dimensional and sparse (HiDS) matrix latent factor (LF) analysis learning system neural networks nonnegative LF (NLF) analysis single LF-dependent nonnegative and multiplicative update (SLF-NMU)
	An Overview of Recommendation Techniques and Their Applications in Healthcare 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 701-717 作者: Wenbin Yue; Zidong Wang; Jieyu Zhang; Xiaohui Liu 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/04/09 Collaborative filtering (CF) content-based recommendation healthcare recommendation system (RS)
	Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive Algorithm 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 377-388 作者: Lei Zou; Zidong Wang; Hang Geng; Xiaohui Liu 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/04/09 Boundedness analysis impulsive measurement outliers parameter-dependent filter set-membership filtering time-varying systems
	A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620 作者: Luo, Xin; Liu, Zhigang; Li, Shuai; Shang, Mingsheng; Wang, Zidong 收藏 \| 浏览/下载：17/0 \| 提交时间：2021/03/17 Big data high-dimensional and sparse (HiDS) matrix latent factor (LF) analysis missing data estimation non-negative LF (NLF) model recommender system
	A New Dichoptic Training Strategy Leads to Better Cooperation Between the Two Eyes in Amblyopia 期刊论文 FRONTIERS IN NEUROSCIENCE, 2020, 卷号: 14, 页码: 14 作者: Liu, Zitian; Chen, Zidong; Gao, Le; Liu, Manli; Huang, Yiru 收藏 \| 浏览/下载：49/0 \| 提交时间：2021/03/01 amblyopia dichoptic training dichoptic masking contrast sensitivity functions interocular suppression
	ParaML: A Polyvalent Multicore Accelerator for Machine Learning 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 9, 页码: 1764-1777 作者: Zhou, Shengyuan; Guo, Qi; Du, Zidong; Liu, Daofu; Chen, Tianshi 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/12/10 Neural networks Machine learning Testing Support vector machines Linear regression Computers Computer architecture Accelerator machine learning (ML) techniques multicore accelerator
	Machine Learning Computers With Fractal von Neumann Architecture 期刊论文 IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 998-1014 作者: Zhao, Yongwei; Fan, Zhe; Du, Zidong; Zhi, Tian; Li, Ling 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/12/10 Machine learning Computers Fractals Programming Computer architecture Graphics processing units Matrix decomposition Machine learning architecture neural networks programming efficiency

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