Jie Zhang
Orcid: 0000-0001-9638-574XAffiliations:
- Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- University of Science and Technology Beijing, China (PhD 2019)
According to our database1,
Jie Zhang
authored at least 32 papers
between 2017 and 2024.
Collaborative distances:
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
2023
Online Spatiotemporal Modeling for Robust and Lightweight Device-Free Localization in Nonstationary Environments.
IEEE Trans. Ind. Informatics, July, 2023
Computationally Efficient Personalized EMG-Driven Musculoskeletal Model of Wrist Joint.
IEEE Trans. Instrum. Meas., 2023
Boosting Personalized Musculoskeletal Modeling With Physics-Informed Knowledge Transfer.
IEEE Trans. Instrum. Meas., 2023
Toward Robust and Efficient Musculoskeletal Modeling Using Distributed Physics-Informed Deep Learning.
IEEE Trans. Instrum. Meas., 2023
Modifying Gait: A Strategy for Joint Reaction Forces Reduction in Below-Knee Amputees.
Proceedings of the 29th International Conference on Mechatronics and Machine Vision in Practice, 2023
2022
HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices.
IEEE Internet Things J., 2022
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
IEEE Internet Things J., 2022
Toward Robust and Accurate Device-Free Localization in Cluttered Environments With Commodity WiFi Devices.
IEEE Internet Things J., 2022
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Multi-objective optimization-based adaptive class-specific cost extreme learning machine for imbalanced classification.
Neurocomputing, 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
IEEE Internet Things J., 2021
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
CoRR, 2021
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
CoRR, 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
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 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
Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction.
Sensors, 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