Tao Wu

Orcid: 0000-0003-1344-835X

Affiliations:
  • National University of Defense Technology, Hefei, China
  • PLA Army Engineering University, College of Communication Engineering, China (former)
  • PLA University of Science and Technology, College of Communications Engineering, China (former)


According to our database1, Tao Wu authored at least 53 papers between 2017 and 2026.

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Timeline

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Bibliography

2026
Edge-End Heterogeneous Collaborative Learning by Prototype Selection and Edge Association.
IEEE Trans. Parallel Distributed Syst., July, 2026

Gaussian-Augmented Prototypical Network for Class-Incremental Few-Shot Relation Classification.
ACM Trans. Knowl. Discov. Data, January, 2026

Communication-Efficient FL With Hybrid Aggregation for the CAVs Over Multiple BSs.
IEEE Trans. Intell. Transp. Syst., January, 2026

Analysis of Pyrrha: Congestion-Root-Based Flow Control Is Most Cost-Effective to Eliminate Head-of-Line Blocking.
IEEE Trans. Netw., 2026

2025
Joint AAV Deployment and Edge Association for Energy-Efficient Federated Learning.
IEEE Trans. Cogn. Commun. Netw., December, 2025

Air-Ground Integrated Online Federated Learning Under Unreliable Communication.
IEEE Trans. Cogn. Commun. Netw., December, 2025

JammyTS: joint attention and memory network for temporal scoping of facts.
Data Min. Knowl. Discov., November, 2025

A Novel Physical Layer Authentication Scheme of Internet of Things Devices Based on Center-Enhanced Open-Set Classifier.
IEEE Trans. Consumer Electron., August, 2025

Joint Data Retransmission and Client Selection Optimization for Error-Tolerant Federated Learning in AAV Networks.
IEEE Trans. Cogn. Commun. Netw., August, 2025

Is your solution accurate? A fault-oriented performance prediction method for enhancing communication network reliability.
Reliab. Eng. Syst. Saf., 2025

GenNP: A low-threshold and powerful network performance data generator.
Comput. Networks, 2025

FedCCS: Efficient Federated Learning with Clustering-Based Client Selection and Bandwidth Allocation.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

Pyrrha: Congestion-Root-Based Flow Control to Eliminate Head-of-Line Blocking in Datacenter.
Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

Coarse-Grained Dynamic Differential Privacy Federated Learning based on D3QN.
Proceedings of the International Joint Conference on Neural Networks, 2025

Heterogeneity-aware Federated Edge Learning via UAV Sampling and D2D Communications.
Proceedings of the 54th International Conference on Parallel Processing, 2025

Joint UAV Deployment and Model Partition for Efficient Collaborative Inference.
Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Matrix Completion with Fuzzy Sampling for Network Traffic Measurement.
Proceedings of the Neural Information Processing - 32nd International Conference, 2025

Unbiased Data-Driven Dynamic Threshold Sparsification for Communication-Efficient Federated Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

A Bayesian Inference-Enhanced Evolutionary Algorithm for Sleep Scheduling of Software-Defined Radio Sensors.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
Minimizing Buffer Utilization for Lossless Inter-DC Links.
IEEE/ACM Trans. Netw., December, 2024

Joint contrastive learning and belief rule base for named entity recognition in cybersecurity.
Cybersecur., December, 2024

Cost-Efficient Edge Federated Learning Over Multiple Base Stations for the ITS Based on Connected and Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., November, 2024

Cost-Efficient Federated Learning for Edge Intelligence in Multi-Cell Networks.
IEEE/ACM Trans. Netw., October, 2024

Participant and Sample Selection for Efficient Online Federated Learning in UAV Swarms.
IEEE Internet Things J., June, 2024

Predictive Service Provisioning With Online Learning in Wireless Edge Networks.
IEEE Trans. Mob. Comput., May, 2024

A survey of energy-efficient strategies for federated learning inmobile edge computing.
Frontiers Inf. Technol. Electron. Eng., May, 2024

Distributed neural tensor completion for network monitoring data recovery.
Inf. Sci., 2024

Multi-Stage Data Collection and Path Planning for Multiple UAV-enabled Aerial REM Construction.
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

2023
Robust Online Tensor Completion for IoT Streaming Data Recovery.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

SE-Loc: Security-Enhanced Indoor Localization With Semi-Supervised Deep Learning.
IEEE Trans. Netw. Sci. Eng., 2023

Arrow: Capture the Inaudible Attacker in 3D Space via Smart-speaker.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

Joint Edge Aggregation and Association for Cost-Efficient Multi-Cell Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

Bifrost: Extending RoCE for Long Distance Inter-DC Links.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

2022
Users' experience matter: Delay sensitivity-aware computation offloading in mobile edge computing.
Digit. Commun. Networks, December, 2022

Optimal Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs.
ACM Trans. Sens. Networks, 2022

Device-free near-field human sensing using WiFi signals.
Pers. Ubiquitous Comput., 2022

Analyzing and Optimizing Packet Corruption in RDMA Network.
J. Comput. Sci. Technol., 2022

EaaS: A Service-Oriented Edge Computing Framework Towards Distributed Intelligence.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2022

2021
Tolerance-Oriented Wi-Fi Advertisement Scheduling: A Near Optimal Study on Accumulative User Interests.
Mob. Networks Appl., 2021

Task Selection and Scheduling in UAV-Enabled MEC for Reconnaissance With Time-Varying Priorities.
IEEE Internet Things J., 2021

Individual traffic prediction in cellular networks based on tensor completion.
Int. J. Commun. Syst., 2021

A distributed traffic classification model based on Federated Learning.
Proceedings of the 7th International Conference on Big Data Computing and Communications, 2021

2020
MORE: Multi-node Mobile Charging Scheduling for Deadline Constraints.
ACM Trans. Sens. Networks, 2020

Joint Sensor Selection and Energy Allocation for Tasks-Driven Mobile Charging in Wireless Rechargeable Sensor Networks.
IEEE Internet Things J., 2020

Dependency-Aware Dynamic Task Scheduling in Mobile-Edge Computing.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

2019
Collaborated Tasks-driven Mobile Charging and Scheduling: A Near Optimal Result.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Charging Oriented Sensor Placement and Flexible Scheduling in Rechargeable WSNs.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018
Deadline-Driven Multi-node Mobile Charging.
CoRR, 2018

Near optimal bounded route association for drone-enabled rechargeable WSNs.
Comput. Networks, 2018

Near Optimal Route Association With Shannon Model in Multi-Drone WSNs.
IEEE Access, 2018

Multi-node Mobile Charging Scheduling with Deadline Constraints.
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018

2017
ORSCA: Optimal Route Selection and Communication Association for Drones in WSNs.
Proceedings of the Fifth International Conference on Advanced Cloud and Big Data, 2017

PoP: Propagation Optimization with Popularity, Revisiting Interested Area Coverage for Mobile Advertisement.
Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017


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