Wanqing Zhang
Orcid: 0009-0008-2139-4797
According to our database1,
Wanqing Zhang
authored at least 16 papers
between 2013 and 2025.
Collaborative distances:
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Bibliography
2025
FEAT: A Multi-Agent Forensic AI System with Domain-Adapted Large Language Model for Automated Cause-of-Death Analysis.
CoRR, August, 2025
IEEE Trans. Veh. Technol., April, 2025
2024
Multi-task image restoration network based on spatial aggregation attention and multi-feature fusion.
IET Image Process., 2024
Evaluation of emission reduction performance of power enterprises based on least squares support vector machine.
Int. Arab J. Inf. Technol., 2024
Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning.
CoRR, 2024
Research on the detection and analysis of weak signals with low SNR based on the Welch algorithm.
Proceedings of the 2nd International Conference on Communication Networks and Machine Learning, 2024
2023
Offloading Demand Prediction-Driven Latency-Aware Resource Reservation in Edge Networks.
IEEE Internet Things J., August, 2023
Quantity sensitive task allocation based on improved whale optimization algorithm in crowdsensing system.
Concurr. Comput. Pract. Exp., 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
2021
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning With Applications in MIMO-Based Grant-Free Random Access.
IEEE J. Sel. Areas Commun., 2021
2020
Jointly Sparse Signal Recovery via Deep Auto-encoder and Parallel Coordinate Descent Unrolling.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
Jointly Sparse Support Recovery via Deep Auto-encoder with Applications in MIMO-based Grant-Free Random Access for mMTC.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020
Proceedings of the CNIOT 2020: 2020 International Conference on Computing, 2020
2019
Joint Design of Measurement Matrix and Sparse Support Recovery Method via Deep Auto-Encoder.
IEEE Signal Process. Lett., 2019
2013