Jinqiang Wang
Orcid: 0000-0002-0692-0065
According to our database1,
Jinqiang Wang
authored at least 36 papers
between 2014 and 2024.
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Bibliography
2024
Cross-modal learning with multi-modal model for video action recognition based on adaptive weight training.
Connect. Sci., December, 2024
Analytical Modeling and Inverse Design of Centimeter-Scale Hard-Magnetic Soft Robots.
IEEE Trans Autom. Sci. Eng., October, 2024
J. Ambient Intell. Humaniz. Comput., March, 2024
A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations.
CoRR, 2024
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
2023
Annu. Rev. Control. Robotics Auton. Syst., May, 2023
A Multitask Deep Learning Approach for Sensor-Based Human Activity Recognition and Segmentation.
IEEE Trans. Instrum. Meas., 2023
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition.
IEEE Internet Things J., 2023
CoRR, 2023
An Improved Masking Strategy for Self-supervised Masked Reconstruction in Human Activity Recognition.
CoRR, 2023
The coupling effect between the environment and strategies drives the emergence of group cooperation.
CoRR, 2023
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation.
CoRR, 2023
Design of Three-Dimensional Intelligent Guidance Law for Intercepting Highly Maneuvering Target.
IEEE Access, 2023
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
2022
Multi-user motion recognition using sEMG via discriminative canonical correlation analysis and adaptive dimensionality reduction.
Frontiers Neurorobotics, September, 2022
Intell. Converged Networks, 2022
Proceedings of the 4th International Conference on Robotics, 2022
Proceedings of the 4th International Conference on Robotics, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
A Multiscale Windows Deep Learning Aproach For Sensor-Based Human Activity Recogniton.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022
2021
Observer-Based Neural Formation Control of Leader-Follower AUVs With Input Saturation.
IEEE Syst. J., 2021
Action Recognition of Lower Limbs Based on Surface Electromyography Weighted Feature Method.
Sensors, 2021
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data.
CoRR, 2021
Sensor Data Augmentation with Resampling for Contrastive Learning in Human Activity Recognition.
CoRR, 2021
2020
J. Supercomput., 2020
Neuroadaptive Sliding Mode Formation Control of Autonomous Underwater Vehicles With Uncertain Dynamics.
IEEE Syst. J., 2020
On the combination of data augmentation method and gated convolution model for building effective and robust intrusion detection.
Cybersecur., 2020
Neural-Based Command Filtered Backstepping Control for Trajectory Tracking of Underactuated Autonomous Surface Vehicles.
IEEE Access, 2020
Beyond Literal Visual Modeling: Understanding Image Metaphor Based on Literal-Implied Concept Mapping.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020
2019
Microelectron. J., 2019
Future Gener. Comput. Syst., 2019
Served as Social Actors or Instrumental Role? Understanding the Usage of Smart Product from the Dual Processing Perspective.
Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019
2018
Three-Dimensional Path Following of an Underactuated AUV Based on Neuro-Adaptive Command Filtered Backstepping Control.
IEEE Access, 2018
2014
A Method to Determine the Maximum Side Perspective of Satellite with the Constraints of Mapping Accuracy.
Proceedings of the Computer and Computing Technologies in Agriculture VIII, 2014