Kin K. Leung

Kin K. Leung

Imperial College London

H-index: 72

Europe-United Kingdom

About Kin K. Leung

Kin K. Leung, With an exceptional h-index of 72 and a recent h-index of 37 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Communications networks, wireless and Internet technologies, machine learning and optimization.

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

Adaptsfl: Adaptive split federated learning in resource-constrained edge networks

Ensuring threshold AoI for UAV-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer

Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns

Resource sharing in the edge: A distributed bargaining-theoretic approach

Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation

13 Optimized Federated Learning in Wireless Networks with Constrained Resources

Model pruning enables efficient federated learning on edge devices

Use Coupled LSTM Networks to Solve Constrained Optimization Problems

Kin K. Leung Information

University

Position

Tanaka Chair Professor

Citations(all)

22646

Citations(since 2020)

10078

Cited By

16293

hIndex(all)

72

hIndex(since 2020)

37

i10Index(all)

248

i10Index(since 2020)

108

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Kin K. Leung Skills & Research Interests

Communications networks

wireless and Internet technologies

machine learning and optimization

Top articles of Kin K. Leung

Title

Journal

Author(s)

Publication Date

Adaptsfl: Adaptive split federated learning in resource-constrained edge networks

arXiv preprint arXiv:2403.13101

Zheng Lin

Guanqiao Qu

Wei Wei

Xianhao Chen

Kin K Leung

2024/3/19

Ensuring threshold AoI for UAV-assisted mobile crowdsensing by multi-agent deep reinforcement learning with transformer

IEEE/ACM Transactions on Networking

Hao Wang

Chi Harold Liu

Haoming Yang

Guoren Wang

Kin K Leung

2023/7/12

Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns

Zheyu Chen

Kin K Leung

Shiqiang Wang

Leandros Tassiulas

Kevin Chan

...

2023/5/28

Resource sharing in the edge: A distributed bargaining-theoretic approach

IEEE Transactions on Network and Service Management

Faheem Zafari

Prithwish Basu

Kin K Leung

Jian Li

Don Towsley

...

2023/4/10

Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation

Zheyu Chen

Kin K Leung

Shiqiang Wang

Leandros Tassiulas

Kevin Chan

...

2023/10/30

13 Optimized Federated Learning in Wireless Networks with Constrained Resources

Machine Learning and Wireless Communications

Shiqiang Wang

Tiffany Tuor

Kin K Leung

2022/8/4

Model pruning enables efficient federated learning on edge devices

IEEE Transactions on Neural Networks and Learning Systems

Yuang Jiang

Shiqiang Wang

Victor Valls

Bong Jun Ko

Wei-Han Lee

...

2022/4/25

Use Coupled LSTM Networks to Solve Constrained Optimization Problems

IEEE Transactions on Cognitive Communications and Networking

Zheyu Chen

Kin K Leung

Shiqiang Wang

Leandros Tassiulas

Kevin Chan

...

2022/12/13

GAN-based detection of adversarial EM signal waveforms

Athanasios Gkelias

Kin K Leung

2022/11/28

On the Analysis and Evaluation of Proximity-based Load-balancing Policies

ACM Transactions on Modeling and Performance Evaluation of Computing Systems

Nitish K Panigrahy

Thirupathaiah Vasantam

Prithwish Basu

Don Towsley

Ananthram Swami

...

2022/11/26

Reinforcement and transfer learning for distributed analytics in fragmented software defined coalitions

Ziyao Zhang

Anand Mudgerikar

Ankush Singla

Kin K Leung

Elisa Bertino

...

2021/4/12

Jointly-learned state-action embedding for efficient reinforcement learning

Paul J Pritz

Liang Ma

Kin K Leung

2021/10/26

More is not always better: An analytical study of controller synchronizations in distributed SDN

IEEE/ACM Transactions on Networking

Ziyao Zhang

Liang Ma

Kin K Leung

Franck Le

2021/3/26

Delay-sensitive energy-efficient UAV crowdsensing by deep reinforcement learning

IEEE Transactions on Mobile Computing

Zipeng Dai

Chi Harold Liu

Rui Han

Guoren Wang

Kin K Leung

...

2021/9/16

On the analysis of spatially constrained power of two choice policies

ACM SIGMETRICS Performance Evaluation Review

Nitish K Panigrahy

Prithwish Basu

Don Towsley

Ananthram Swami

Kin K Leung

2021/3/5

State-space decomposition for reinforcement learning

Dept. Comput., Imperial College London, London, UK, Rep

Esther Wong

Kin Leung

Tony Field

2021/8/2

Reconfigurable intelligent surface for low-latency edge computing in 6G

IEEE Wireless Communications

Yueyue Dai

Yong Liang Guan

Kin K Leung

Yan Zhang

2021/12

Overcoming noisy and irrelevant data in federated learning

Tiffany Tuor

Shiqiang Wang

Bong Jun Ko

Changchang Liu

Kin K Leung

2021/1/10

Energy-efficient resource management for federated edge learning with CPU-GPU heterogeneous computing

IEEE Transactions on Wireless Communications

Qunsong Zeng

Yuqing Du

Kaibin Huang

Kin K Leung

2021/6/21

Resource Management in Software Defined Coalitions (SDC) through Slicing

Athanasios Gkelias

Nitish K Panigrahy

Mohammad Mobayenjarihani

Kin K Leung

Don Towsley

...

2021/11/29

See List of Professors in Kin K. Leung University(Imperial College London)

Co-Authors

H-index: 142
Don Towsley

Don Towsley

University of Massachusetts Amherst

H-index: 108
Zhiguo Ding

Zhiguo Ding

Manchester University

H-index: 105
Ward Whitt

Ward Whitt

Columbia University in the City of New York

H-index: 104
Ekram Hossain

Ekram Hossain

University of Manitoba

H-index: 74
Mischa Dohler

Mischa Dohler

King's College London

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