Yanjiao Li
Orcid: 0000-0002-5359-3212
According to our database1,
Yanjiao Li
authored at least 22 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Variance-Constrained Local-Global Modeling for Device-Free Localization Under Uncertainties.
IEEE Trans. Ind. Informatics, April, 2024
Parallel one-class extreme learning machine for imbalance learning based on Bayesian approach.
J. Ambient Intell. Humaniz. Comput., February, 2024
Lightweight network based features fusion for steel rolling ambient sound classification.
Eng. Appl. Artif. Intell., 2024
2023
Online Spatiotemporal Modeling for Robust and Lightweight Device-Free Localization in Nonstationary Environments.
IEEE Trans. Ind. Informatics, July, 2023
2022
Toward Robust and Accurate Device-Free Localization in Cluttered Environments With Commodity WiFi Devices.
IEEE Internet Things J., 2022
Multi-objective optimization-based adaptive class-specific cost extreme learning machine for imbalanced classification.
Neurocomputing, 2022
Proceedings of the International Conference on Asian Language Processing, 2022
2021
Soft Comput., 2021
IEEE Internet Things J., 2021
Integrated Multiple Kernel Learning for Device-Free Localization in Cluttered Environments Using Spatiotemporal Information.
IEEE Internet Things J., 2021
Comput. Electr. Eng., 2021
2020
Data-Driven Multiobjective Optimization for Burden Surface in Blast Furnace With Feedback Compensation.
IEEE Trans. Ind. Informatics, 2020
J. Frankl. Inst., 2020
J. Frankl. Inst., 2020
Neurocomputing, 2020
IEEE Access, 2020
2019
Kullback-Leibler Divergence Based Probabilistic Approach for Device-Free Localization Using Channel State Information.
Sensors, 2019
A Soft Sensing Scheme of Gas Utilization Ratio Prediction for Blast Furnace Via Improved Extreme Learning Machine.
Neural Process. Lett., 2019
2018
2017
A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces.
Sensors, 2017
Class-specific cost regulation extreme learning machine for imbalanced classification.
Neurocomputing, 2017
2014
A Quantitative View of Short Utterances in Daily Conversation: A Case Study of Thats right, Thats true and Thats correct.
Proceedings of the 28th Pacific Asia Conference on Language, Information and Computation, 2014