Zhuangkun Wei
Orcid: 0000-0002-8073-7859
According to our database1,
Zhuangkun Wei
authored at least 37 papers
between 2015 and 2024.
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Bibliography
2024
IEEE Veh. Technol. Mag., March, 2024
Correction to: Scarce data driven deep learning of drones via generalized data distribution space.
Neural Comput. Appl., January, 2024
Explainable Adversarial Learning Framework on Physical Layer Secret Keys Combating Malicious Reconfigurable Intelligent Surface.
CoRR, 2024
2023
Neural Comput. Appl., July, 2023
Physical-Layer Counterattack Strategies for the Internet of Bio-Nano Things with Molecular Communication.
IEEE Internet Things Mag., June, 2023
Diversity-Based Non-Coherent Signal Detector for Molecular Communication via Reaction-Diffusion.
IEEE Trans. Commun., May, 2023
Robust Time Synchronization for Industrial Internet of Things by H<sub>∞</sub> Output Feedback Control.
IEEE Internet Things J., February, 2023
Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation.
IEEE Trans. Inf. Forensics Secur., 2023
Securing IoT Communication using Physical Sensor Data - Graph Layer Security with Federated Multi-Agent Deep Reinforcement Learning.
CoRR, 2023
2022
Neural Network Approximation of Graph Fourier Transform for Sparse Sampling of Networked Dynamics.
ACM Trans. Internet Techn., 2022
IEEE Trans. Mob. Comput., 2022
Sensors, 2022
IEEE Commun. Lett., 2022
Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing.
Proceedings of the 96th Vehicular Technology Conference, 2022
Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Signal Process., 2021
CoRR, 2021
IEEE Commun. Mag., 2021
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Sampling and Inference of Networked Dynamics Using Log-Koopman Nonlinear Graph Fourier Transform.
IEEE Trans. Signal Process., 2020
Optimal Sampling of Water Distribution Network Dynamics Using Graph Fourier Transform.
IEEE Trans. Netw. Sci. Eng., 2020
IEEE Trans. Commun., 2020
Nano Commun. Networks, 2020
Monitoring Embedded Flow Networks Using Graph Fourier Transform Enabled Sparse Molecular Relays.
IEEE Commun. Lett., 2020
IEEE Commun. Lett., 2020
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions.
CoRR, 2020
CoRR, 2020
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics.
CoRR, 2020
Channel Capacity Analysis of a Comprehensive Absorbing Receiver for Molecular Communication via Diffusion.
IEEE Access, 2020
2019
IEEE Trans. Mol. Biol. Multi Scale Commun., 2019
Nano Commun. Networks, 2019
IEEE Access, 2019
Monitoring Networked Infrastructure with Minimum Data via Sequential Graph Fourier Transforms.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019
2017
Localization Scheme with MAP Pre-filter in Wireless Sensor Network Combating Intensive Measurement Noise.
Proceedings of the Communications, Signal Processing, and Systems, 2017
2015
EURASIP J. Wirel. Commun. Netw., 2015