Liantao Wu

According to our database, Liantao Wu authored at least 46 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reward-Oriented Task Offloading in Energy Harvesting Collaborative Edge Computing Systems.

Zhichen Ni, Honglong Chen, Birong Gao, Kai Lin, Liantao Wu, Jiguo Yu

IEEE Trans. Mob. Comput., December, 2024

FlocOff: Data Heterogeneity Resilient Federated Learning With Communication-Efficient Edge Offloading.

Mulei Ma, Chenyu Gong, Liekang Zeng, Yang Yang, Liantao Wu

IEEE J. Sel. Areas Commun., November, 2024

Efficient Deployment and Scheduling of Shared VNF Instances in Mobile Edge Computing Networks.

Guoxin Li, Honglong Chen, Liantao Wu, Xuejian Chi, Junmei Yao, Feng Xia, Jiguo Yu

IEEE Internet Things J., October, 2024

A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition.

Peng Sun, Liantao Wu, Zhibo Wang, Jinfei Liu, Juan Luo, Wenqiang Jin

Proc. ACM Manag. Data, September, 2024

Green HERO: Energy-Efficient Hierarchical Federated Learning with Client Association in Industrial IoT.

Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Liantao Wu

IEEE Internet Things Mag., September, 2024

Integrating Communication, Sensing and Computing in Satellite Internet of Things: Challenges and Opportunities.

Yong Zuo, Mingyang Yue, Huiyuan Yang, Liantao Wu, Xiaojun Yuan

IEEE Wirel. Commun., June, 2024

Computation Offloading in Multi-Cell Networks With Collaborative Edge-Cloud Computing: A Game Theoretic Approach.

Liantao Wu, Peng Sun, Zhibo Wang, Yanjun Li, Yang Yang

IEEE Trans. Mob. Comput., March, 2024

PDD: Partitioning DAG-Topology DNNs for Streaming Tasks.

Liantao Wu, Guoliang Gao, Jing Yu, Fangtong Zhou, Yang Yang, Tengfei Wang

IEEE Internet Things J., March, 2024

NOMA-Enabled Multiuser Offloading in Multicell Edge Computing Networks: A Coalition Game Based Approach.

Liantao Wu, Peng Sun, Honglong Chen, Yong Zuo, Yong Zhou, Yang Yang

IEEE Trans. Netw. Sci. Eng., 2024

Delay Analysis of Multi-Priority Computing Tasks in Alibaba Cluster Traces.

Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Xiaohu Ge, Liantao Wu

Proceedings of the IEEE INFOCOM 2024, 2024

Service Localization and User Satisfaction Enabled Multi-Tier Computing IoT System.

Chenyu Gong, Mulei Ma, Liekang Zeng, Yang Yang, Liantao Wu, Zening Liu

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024

2023

6G Network AI Architecture for Everyone-Centric Customized Services.

Yang Yang, Mulei Ma, Hequan Wu, Quan Yu, Xiaohu You, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, A. Hamid Aghvami, Geoffrey Ye Li, Jiangzhou Wang, Guangyi Liu, Peng Gao, Xiongyan Tang, Chang Cao, John S. Thompson, Kai-Kit Wong, Shanzhi Chen, Zhiqin Wang, Mérouane Debbah, Schahram Dustdar, Frank Eliassen, Tao Chen, Xiangyang Duan, Shaohui Sun, Xiaofeng Tao, Qinyu Zhang, Jianwei Huang, Wenjun Zhang, Jie Li, Yue Gao, Honggang Zhang, Xu Chen, Xiaohu Ge, Yong Xiao, Cheng-Xiang Wang, Zaichen Zhang, Song Ci, Guoqiang Mao, Changle Li, Ziyu Shao, Yong Zhou, Junrui Liang, Kai Li, Liantao Wu, Fanglei Sun, Kunlun Wang, Zening Liu, Kun Yang, Jun Wang, Teng Gao, Hongfeng Shu

IEEE Netw., September, 2023

Temporal Correlation Enhanced Multiuser Detection for Uplink Grant-Free NOMA.

Liantao Wu, Peng Sun, Zhibo Wang, Yang Yang, Zhi Wang

IEEE Trans. Mob. Comput., April, 2023

FLIRRAS: Fast Learning With Integrated Reward and Reduced Action Space for Online Multitask Offloading.

Mulei Ma, Chenyu Gong, Liantao Wu, Yang Yang

IEEE Internet Things J., 2023

Hybrid Reconfigurable Intelligent Surface Assisted Over-the-Air Federated Learning.

Jiaqi Jin, Zhibin Wang, Liantao Wu, Yong Zhou

Proceedings of the IEEE International Conference on Communications, 2023

IRS-Assisted Digital Over-the-Air Federated Learning.

Yudi Pan, Zhibin Wang, Liantao Wu, Yong Zhou

Proceedings of the IEEE Global Communications Conference, 2023

2022

Temporal Correlation Enhanced Sparse Activity Detection in MIMO Enabled Grant-Free NOMA.

Liantao Wu, Zhibo Wang, Peng Sun, Yang Yang

IEEE Trans. Veh. Technol., 2022

Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems.

Peng Sun, Zhibo Wang, Liantao Wu, Yunhe Feng, Xiaoyi Pang, Hairong Qi, Zhi Wang

IEEE Trans. Mob. Comput., 2022

DOT: Decentralized Offloading of Tasks in OFDMA-Based Heterogeneous Computing Networks.

Liantao Wu, Zening Liu, Peng Sun, Honglong Chen, Kunlun Wang, Yong Zuo, Yang Yang

IEEE Internet Things J., 2022

UCL: Unit Competition of Layers for Streaming Tasks in Heterogeneous Networks.

Jing Yu, Liantao Wu, Guoliang Gao, Chenyu Gong

Proceedings of the IEEE Global Communications Conference, 2022

Data-aware Hierarchical Federated Learning via Task Offloading.

Mulei Ma, Liantao Wu, Wenxiang Liu, Nanxi Chen, Ziyu Shao, Yang Yang

Proceedings of the IEEE Global Communications Conference, 2022

Task Offloading and Resource Allocation in CPU-GPU Heterogeneous Networks.

Chenyu Gong, Mulei Ma, Liantao Wu, Wenxiang Liu, Yong Zhou, Yang Yang

Proceedings of the IEEE Global Communications Conference, 2022

DBM: Delay-sensitive Buffering Mechanism for DNN Offloading Services.

Guoliang Gao, Liantao Wu, Yang Yang, Kai Li

Proceedings of the 27th Asia Pacific Conference on Communications, 2022

2021

Trustworthy and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing Systems.

Peng Sun, Zhibo Wang, Liantao Wu, Huajie Shao, Hairong Qi, Zhi Wang

IEEE Trans. Veh. Technol., 2021

DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation.

Zhouyang Lin, Kai Li, Yang Yang, Fanglei Sun, Liantao Wu, Panpan Shi, Song Ci, Yong Zuo

IEEE Open J. Comput. Soc., 2021

Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning.

Peng Sun, Haoxuan Che, Zhibo Wang, Yuwei Wang, Tao Wang, Liantao Wu, Huajie Shao

IEEE J. Sel. Areas Commun., 2021

Joint User Activity Identification and Channel Estimation for Grant-Free NOMA: A Spatial-Temporal Structure-Enhanced Approach.

Liantao Wu, Peng Sun, Zhibo Wang, Yang Yang

IEEE Internet Things J., 2021

Towards Efficient Compressive Data Collection in the Internet of Things.

Peng Sun, Liantao Wu, Zhi Wang

CoRR, 2021

FSST: Frequency-Space Signal Transformation of Massive MIMO Channels.

Lei Zhu, Guoliang Gao, Kai Li, Yang Yang, Liantao Wu, Fanglei Sun

Proceedings of the IEEE Global Communications Conference, 2021

MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization.

Yang Li, Fanglei Sun, Weiqin Zu, Wenbin Song, Ying Wen, Jun Wang, Yang Yang, Kai Li, Liantao Wu

Proceedings of the IEEE Global Communications Conference, 2021

OCDST: Offloading Chained DNNs for Streaming Tasks.

Guoliang Gao, Liantao Wu, Ziyu Shao, Yang Yang, Zhouyang Lin

Proceedings of the IEEE Global Communications Conference, 2021

Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO.

Ruiqing Chen, Fanglei Sun, Liang Chen, Kai Li, Liantao Wu, Jun Wang, Yang Yang

Proceedings of the 29th European Signal Processing Conference, 2021

SFDIC: Spatial Features Distributed Interference Coordination for Massive MIMO Systems.

Lei Zhu, Kai Li, Yang Yang, Liantao Wu, Fanglei Sun, Jinhan Guo, Hanhui Li

Proceedings of the 26th IEEE Asia-Pacific Conference on Communications, 2021

2020

Toward Efficient Compressed-Sensing-Based RFID Identification: A Sparsity-Controlled Approach.

Liantao Wu, Peng Sun, Zhibo Wang, Yang Yang, Zhi Wang

IEEE Internet Things J., 2020

SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT.

Peng Sun, Liantao Wu, Zhibo Wang, Yunhe Feng, Zhi Wang

IEEE Internet Things J., 2020

Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering.

Peng Sun, Zhibo Wang, Yunhe Feng, Liantao Wu, Yanjun Li, Hairong Qi, Zhi Wang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2018

Sparsest Random Sampling for Cluster-Based Compressive Data Gathering in Wireless Sensor Networks.

Peng Sun, Liantao Wu, Zhibo Wang, Ming Xiao, Zhi Wang

IEEE Access, 2018

2017

Double-Layer Compressive Sensing Based Efficient DOA Estimation in WSAN with Block Data Loss.

Peng Sun, Liantao Wu, Kai Yu, Huajie Shao, Zhi Wang

Sensors, 2017

Sparse Signal Aloha: A Compressive Sensing-Based Method for Uncoordinated Multiple Access.

Liantao Wu, Peng Sun, Ming Xiao, Yuhen Hu, Zhi Wang

IEEE Commun. Lett., 2017

2015

Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing.

Liantao Wu, Kai Yu, Dongyu Cao, Yuhen Hu, Zhi Wang

Sensors, 2015

pQueue-MAC: An Energy Efficient Hybrid MAC Protocol for Event-Driven Sensor Networks.

Liantao Wu, Shuguo Zhuo, Zhibo Wang, Zhi Wang

Int. J. Distributed Sens. Networks, 2015

eQueue-MAC: Enhanced traffic adaptive hybrid MAC protocol with IEEE 802.15.4e features for industrial applications.

Dongyu Cao, Shuguo Zhuo, Liantao Wu, Zhi Wang

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

Data lost pattern of random spare signal transmission in IoT.

Liantao Wu, Zhi Wang

Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2014

CS-Based Framework for Sparse Signal Transmission over Lossy Link.

Liantao Wu, Kai Yu, Yu Hen Hu, Zhi Wang

Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

2013

AWSAN: A Realtime Wireless Sensor Array Platform.

Kai Yu, Ming Yin, Tianxu Du, Liantao Wu, Zhi Wang

Proceedings of the IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, 2013

Signal model based compressed sampling for wireless sensor array network.

Kai Yu, Ming Yin, Liantao Wu, Zhi Wang

Proceedings of the 9th International Conference on Information, 2013