Ning Lu

Ning Lu

Queens University

H-index: 30

Asia-Bangladesh

About Ning Lu

Ning Lu, With an exceptional h-index of 30 and a recent h-index of 23 (since 2020), a distinguished researcher at Queens University, specializes in the field of Networking, scheduling, algorithms.

His recent articles reflect a diverse array of research interests and contributions to the field:

Beam Alignment in MmWave V2X Communications: A Survey

I2T: From Intention Decoupling to Vehicular Trajectory Prediction Based on Prioriformer Networks

Federated learning over wireless networks: Challenges and solutions

Knowledge Representation-Actuated Based Spatio-Temporal Graph Neural Network Traffic Flow Prediction

Augmenting Backpressure Scheduling and Routing for Wireless Computing Networks

Vehicular Multimodal Motion Forecasting via Conditional Score-based Modeling

Constrained Bandit Learning with Switching Costs for Wireless Networks

Flying IRS: QoE-driven trajectory optimization and resource allocation based on adaptive deployment for WPCNs in 6G IoT

Ning Lu Information

University

Position

Assistant Professor Department of Electrical and Computer Engineering

Citations(all)

4709

Citations(since 2020)

2714

Cited By

3349

hIndex(all)

30

hIndex(since 2020)

23

i10Index(all)

47

i10Index(since 2020)

36

Email

University Profile Page

Queens University

Google Scholar

View Google Scholar Profile

Ning Lu Skills & Research Interests

Networking

scheduling

algorithms

Top articles of Ning Lu

Title

Journal

Author(s)

Publication Date

Beam Alignment in MmWave V2X Communications: A Survey

Jingru Tan

Tom H Luan

Wenbo Guan

Yuntao Wang

Haixia Peng

...

2024/3/29

I2T: From Intention Decoupling to Vehicular Trajectory Prediction Based on Prioriformer Networks

IEEE Transactions on Intelligent Transportation Systems

Yi Zhou

Zhangyun Wang

Nianwen Ning

Zhanqi Jin

Ning Lu

...

2024/3/21

Federated learning over wireless networks: Challenges and solutions

IEEE Internet of Things Journal

Mahdi Beitollahi

Ning Lu

2023/6/14

Knowledge Representation-Actuated Based Spatio-Temporal Graph Neural Network Traffic Flow Prediction

Yihan Liu

Nianwen Ning

Ning Lu

Yi Zhou

2023/12/4

Augmenting Backpressure Scheduling and Routing for Wireless Computing Networks

KM Mahfujul

Kaige Qu

Qiang Ye

Ning Lu

2023/5/28

Vehicular Multimodal Motion Forecasting via Conditional Score-based Modeling

Zhangyun Wang

Nianwen Ning

Shihan Tian

Ning Lu

Nan Cheng

...

2023/10/10

Constrained Bandit Learning with Switching Costs for Wireless Networks

Juaren Steiger

Bin Li

Bo Ji

Ning Lu

2023/5/17

Flying IRS: QoE-driven trajectory optimization and resource allocation based on adaptive deployment for WPCNs in 6G IoT

IEEE Internet of Things Journal

Yi Zhou

Zhanqi Jin

Huaguang Shi

Lei Shi

Ning Lu

2023/10/5

Online Convex Optimization for Dynamic RAN Slicing with Quality of Service

Kasra Khalafi

Jianbing Ni

Ning Lu

2023/8/10

Digital twin-assisted knowledge distillation framework for heterogeneous federated learning

China Communications

Xiucheng Wang

Nan Cheng

Longfei Ma

Ruijin Sun

Rong Chai

...

2023/2

Dynamic Neural Network-Based Resource Management for Mobile Edge Computing in 6G Networks

IEEE Transactions on Cognitive Communications and Networking

Longfei Ma

Nan Cheng

Conghao Zhou

Xiucheng Wang

Ning Lu

...

2023/12/25

Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks

Xiucheng Wang

Nan Cheng

Longfei Ma

Zhisheng Yin

Tom Luan

...

2023/6/26

Integrating knowledge representation into traffic prediction: a spatial–temporal graph neural network with adaptive fusion features

Complex & Intelligent Systems

Yi Zhou

Yihan Liu

Nianwen Ning

Li Wang

Zixing Zhang

...

2023/12/19

Learning from delayed semi-bandit feedback under strong fairness guarantees

Juaren Steiger

Bin Li

Ning Lu

2022/5

Sigt: An efficient end-to-end MIMO-OFDM receiver framework based on transformer

Ziyou Ren

Nan Cheng

Ruijin Sun

Xiucheng Wang

Ning Lu

...

2022/12/27

Guest editorial special issue on space-air-ground integrated networks for intelligent transportation systems

IEEE Transactions on Intelligent Transportation Systems

Ning Zhang

Tao Han

Mehrdad Dianati

Ning Lu

Shangguang Wang

2022/3/10

FLAC: Federated learning with autoencoder compression and convergence guarantee

Mahdi Beitollahi

Ning Lu

2022/12/4

Service-oriented topology reconfiguration of UAV networks with deep reinforcement learning

Ziyan Chen

Nan Cheng

Zhisheng Yin

Jingchao He

Ning Lu

2022/11/1

On-demand resource management for 6g wireless networks using knowledge-assisted dynamic neural networks

Longfei Ma

Nan Cheng

Xiucheng Wang

Ruijin Sun

Ning Lu

2022/5/16

Multi-frame scheduling for federated learning over energy-efficient 6g wireless networks

Mahdi Beitollahi

Ning Lu

2022/5/2

See List of Professors in Ning Lu University(Queens University)

Co-Authors

H-index: 149
Xuemin (Sherman) Shen

Xuemin (Sherman) Shen

University of Waterloo

H-index: 82
R. Srikant

R. Srikant

University of Illinois at Urbana-Champaign

H-index: 73
Xinping Guan

Xinping Guan

Shanghai Jiao Tong University

H-index: 71
Ning Zhang

Ning Zhang

University of Windsor

H-index: 49
Haibo Zhou

Haibo Zhou

Nanjing University

H-index: 47
Tom H. Luan (栾浩)

Tom H. Luan (栾浩)

Xidian University

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