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2020 – today
- 2024
[j8]Jinli Li
, Xin Luo, Ye Yuan, Shangce Gao:
A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis. IEEE Trans Autom. Sci. Eng. 21(3): 3742-3756 (2024)- [j7]Ye Yuan, Jinli Li, Xin Luo:
A Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis. IEEE Trans. Fuzzy Syst. 32(7): 4049-4061 (2024) - [i2]Jinli Li, Ye Yuan:
An ADRC-Incorporated Stochastic Gradient Descent Algorithm for Latent Factor Analysis. CoRR abs/2401.07012 (2024) - 2023
- [j6]Jingru Li, Feng Pan, Jinli Li, Yilin Ji, Hongtian Song, Baoshuai Wang:
Research on TMR Current Transducer With Temperature Compensation Based on Reference Magnetic Field. IEEE Access 11: 121828-121834 (2023) - [j5]Yingming Qu, Jinli Li, Yifan Li, Zhenchun Li:
Joint Acoustic and Decoupled-Elastic Least-Squares Reverse Time Migration for Simultaneously Using Water-Land Dual-Detector Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j4]Yixin Wang, Chongpeng Huang, Yingming Qu, Mengjie Li, Jinli Li:
Velocity-Adaptive Irregular Point Spread Function Deconvolution Imaging Using X-Shaped Denoising Diffusion Filtering. IEEE Trans. Geosci. Remote. Sens. 61: 1-8 (2023) - [c6]Jinli Li, ChengXuan Zhou, Ye Yuan:
An Adaptive PID-Incorporated Non-Negative Latent Factor Analysis Model. ICDM (Workshops) 2023: 424-428 - 2022
- [j3]Zhili Huang, Jinli Li, Hongge Yue:
Study on Comprehensive Evaluation Based on AHP-MADM Model for Patent Value of Balanced Vehicle. Axioms 11(9): 481 (2022) - [c5]Jinli Li, Ye Yuan:
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model. ICNSC 2022: 1-6 - [i1]Jinli Li, Ye Yuan:
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model. CoRR abs/2208.02513 (2022) - 2021
- [j2]Jinli Li, Ye Yuan, Tao Ruan, Jia Chen, Xin Luo:
A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model. Neurocomputing 427: 29-39 (2021) - [c4]Jinli Li, Ran Zhang, Mingcan Cen, Xunao Wang, M. Jiang:
Depression Detection Using Asynchronous Federated Optimization. TrustCom 2021: 758-765 - 2020
- [c3]Hang Gou, Jinli Li, Wen Qin, Chunlin He, Yurong Zhong, Rui Che:
A Momentum-incorporated Fast Parallelized Stochastic Gradient Descent for Latent Factor Model in Shared Memory Systems. ICNSC 2020: 1-6 - [c2]Jinli Li, Xuke Wu, Ye Yuan, Yajuan Wu, Kangkang Ma, Yue Zhou:
Accelerated Latent Factor Analysis for Recommender Systems via PID Controller. ICNSC 2020: 1-6 - [c1]Jinli Li, Ye Yuan:
A Nonlinear Proportional Integral Derivative-Incorporated Stochastic Gradient Descent-based Latent Factor Model. SMC 2020: 2371-2376
2010 – 2019
- 2018
- [j1]Xin Zhang, Zhanfang Chen, Jinli Li, Xin Feng:
Identifying Change and Propagations in Product Development Project. Wirel. Pers. Commun. 103(1): 69-81 (2018)
Coauthor Index
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