Weiting Zhang
Orcid: 0000-0003-2626-4883
According to our database1,
Weiting Zhang
authored at least 58 papers
between 2019 and 2024.
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Bibliography
2024
Effect of early serum phosphate disorder on in-hospital and 28-day mortality in sepsis patients: a retrospective study based on MIMIC-IV database.
BMC Medical Informatics Decis. Mak., December, 2024
Bilateral Content Recommendation for Intelligent Connected Vehicles: Challenges and Applications.
IEEE Netw., November, 2024
VSpatial: Enabling Private and Verifiable Spatial Keyword-Based Positioning in 6G-Oriented IoT.
IEEE J. Sel. Areas Commun., October, 2024
Securing Federated Diffusion Model With Dynamic Quantization for Generative AI Services in Multiple-Access Artificial Intelligence of Things.
IEEE Internet Things J., September, 2024
Identifier-Driven Resource Orchestration With Quantum Computing for Differentiated Services in IoT-MMEC Networks.
IEEE Trans. Veh. Technol., July, 2024
IoTAuth: A Decentralized Cross-Chain Identity Authentication Scheme for 6G Non-Terrestrial IoT Networks.
IEEE Netw., July, 2024
Det(Com)<sup>2</sup>: Deterministic Communication and Computation Integration Toward AIGC Services.
IEEE Wirel. Commun., June, 2024
DetFed: Dynamic Resource Scheduling for Deterministic Federated Learning Over Time-Sensitive Networks.
IEEE Trans. Mob. Comput., May, 2024
IEEE Netw., May, 2024
Privacy-Preserving Identity-Based Data Rights Governance for Blockchain-Empowered Human-Centric Metaverse Communications.
IEEE J. Sel. Areas Commun., April, 2024
(Com)<sup>2</sup>Net: A Novel Communication and Computation Integrated Network Architecture.
IEEE Netw., March, 2024
SFANT: A SRv6-Based Flexible and Active Network Telemetry Scheme in Programming Data Plane.
IEEE Trans. Netw. Sci. Eng., 2024
GFlow: GNN-Based Optimal Flow Scheduling for Multipath Transmission With Link Overlapping.
IEEE Trans. Netw. Sci. Eng., 2024
Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach.
CoRR, 2024
Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses.
CoRR, 2024
Optimizing Information Propagation for Blockchain-empowered Mobile AIGC: A Graph Attention Network Approach.
CoRR, 2024
A Systematic Survey on Security in Anonymity Networks: Vulnerabilities, Attacks, Defenses, and Formalization.
IEEE Commun. Surv. Tutorials, 2024
Comput. Networks, 2024
Proceedings of the IEEE INFOCOM 2024, 2024
ChronusFed: Reinforcement-Based Adaptive Partial Training for Heterogeneous Federated Learning.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
Proceedings of the IEEE International Conference on Communications, 2024
2023
Burst-Aware Time-Triggered Flow Scheduling With Enhanced Multi-CQF in Time-Sensitive Networks.
IEEE/ACM Trans. Netw., December, 2023
Survey on the scheme evaluation, opportunities and challenges of software defined-information centric network.
IET Commun., December, 2023
Security, Privacy, and Reliability in Ubiquitous Intelligence Empowered Internet of Vehicles.
IEEE Internet Things Mag., September, 2023
Deep-Learning-Enabled Predictive Maintenance in Industrial Internet of Things: Methods, Applications, and Challenges.
IEEE Syst. J., June, 2023
A smart collaborative framework for dynamic multi-task offloading in IIoT-MEC networks.
Peer Peer Netw. Appl., March, 2023
An efficient scheduling approach for multi-level industrial chain flows in time-sensitive networking.
Comput. Networks, February, 2023
IEEE Internet Things J., 2023
Int. J. Circuit Theory Appl., 2023
enDRTS: Deep Reinforcement Learning Based Deterministic Scheduling for Chain Flows in TSN.
Proceedings of the International Conference on Networking and Network Applications, 2023
Achieving Distributed and Privacy-Preserving Cross-Chain Transactions in Account-Model Blockchain Systems.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023
Deep Reinforcement Learning for On-Demand Intelligent Routing in Deterministic Networks.
Proceedings of the IEEE Global Communications Conference, 2023
In-Network Collaborative Link Flooding Attack Defense with Adaptive Anomaly Analysis.
Proceedings of the IEEE Global Communications Conference, 2023
Proceedings of the 9th International Conference on Big Data Computing and Communications, 2023
Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023
2022
TC-Flow: Chain Flow Scheduling for Advanced Industrial Applications in Time-Sensitive Networks.
IEEE Netw., 2022
FRUIT: A Blockchain-Based Efficient and Privacy-Preserving Quality-Aware Incentive Scheme.
IEEE J. Sel. Areas Commun., 2022
Deep-Reinforcement-Learning-Based Latency Minimization in Edge Intelligence Over Vehicular Networks.
IEEE Internet Things J., 2022
A Secure Revocable Fine-Grained Access Control and Data Sharing Scheme for SCADA in IIoT Systems.
IEEE Internet Things J., 2022
Learning-Based Computation Offloading for IoRT Through Ka/Q-Band Satellite-Terrestrial Integrated Networks.
IEEE Internet Things J., 2022
Efficient Uplink Transmission in Ultra-Dense LEO Satellite Networks With Multiband Antennas.
IEEE Commun. Lett., 2022
Learning-based deep neural network inference task offloading in multi-device and multi-server collaborative edge computing.
Trans. Emerg. Telecommun. Technol., 2022
Towards Secure Bilateral Friend Query with Conjunctive Policy Matching in Social Networks.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022
Stealing Secrecy from Outside: A Novel Gradient Inversion Attack in Federated Learning.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022
Achieving a Blockchain-based Privacy-preserving Quality-aware Knowledge Marketplace in Crowdsensing.
Proceedings of the 20th IEEE International Conference on Embedded and Ubiquitous Computing, 2022
2021
Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT.
IEEE Trans. Veh. Technol., 2021
DeepHealth: A Self-Attention Based Method for Instant Intelligent Predictive Maintenance in Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2021
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2021
One-pot synthesis of carboxymethyl-dextran coated iron oxide nanoparticles (CION) for preclinical fMRI and MRA applications.
NeuroImage, 2021
IEEE J. Sel. Areas Commun., 2021
Spectrum and Computing Resource Management for Federated Learning in Distributed Industrial IoT.
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Resource-Efficient DNN Training and Inference for Heterogeneous Edge Intelligence in 6G.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021
2020
Scientometrics, 2020
Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020
Proceedings of the IEEE Global Communications Conference, 2020
2019
IEEE Syst. J., 2019
Sensors, 2019
AESGRU: An Attention-Based Temporal Correlation Approach for End-to-End Machine Health Perception.
IEEE Access, 2019