Kin K. Leung

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 121

Top Venues

CoRR

IEEE/ACM Trans. Netw.

MILCOM

INFOCOM

Publications

Hao Wang, Chi Harold Liu, Haoming Yang, Guoren Wang, Kin K. Leung
Ensuring Threshold AoI for UAV-Assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning With Transformer. IEEE/ACM Trans. Netw. 32 (1) (2024)
Zheng Lin, Guanqiao Qu, Wei Wei, Xianhao Chen, Kin K. Leung
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks. CoRR (2024)
Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin K. Leung, Jian Tang
Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 22 (4) (2023)
Faheem Zafari, Prithwish Basu, Kin K. Leung, Jian Li, Don Towsley, Ananthram Swami
Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach. IEEE Trans. Netw. Serv. Manag. 20 (4) (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation. MILCOM (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns. ICC Workshops (2023)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Don Towsley
Use Coupled LSTM Networks to Solve Constrained Optimization Problems. IEEE Trans. Cogn. Commun. Netw. 9 (2) (2023)
Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas
Model Pruning Enables Efficient Federated Learning on Edge Devices. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Athanasios Gkelias, Kin K. Leung
GAN-Based Detection of Adversarial EM Signal Waveforms. MILCOM (2022)
Nitish K. Panigrahy, Thirupathaiah Vasantam, Prithwish Basu, Don Towsley, Ananthram Swami, Kin K. Leung
On the Analysis and Evaluation of Proximity-based Load-balancing Policies. ACM Trans. Model. Perform. Evaluation Comput. Syst. 7 (2-4) (2022)
Chi Harold Liu, Chengzhe Piao, Xiaoxin Ma, Ye Yuan, Jian Tang, Guoren Wang, Kin K. Leung
Modeling Citywide Crowd Flows using Attentive Convolutional LSTM. ICDE (2021)
Liang Ma, Ting He, Kin K. Leung, Don Towsley, Ananthram Swami
Additive Link Metrics Identification: Proof of Selected Lemmas and Propositions. CoRR (2021)
Ziyao Zhang, Liang Ma, Kin K. Leung, Franck Le
More Is Not Always Better: An Analytical Study of Controller Synchronizations in Distributed SDN. IEEE/ACM Trans. Netw. 29 (4) (2021)
Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung
Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing. IEEE Trans. Wirel. Commun. 20 (12) (2021)
Faheem Zafari, Kin K. Leung, Don Towsley, Prithwish Basu, Ananthram Swami, Jian Li
Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Athanasios Gkelias, Nitish K. Panigrahy, Mohammad Mobayenjarihani, Kin K. Leung, Don Towsley, Patrick J. Baker, Olwen Worthington, Laurence Fowkes
Resource Management in Software Defined Coalitions (SDC) through Slicing. MILCOM (2021)
Chi Harold Liu, Zipeng Dai, Yinuo Zhao, Jon Crowcroft, Dapeng Wu, Kin K. Leung
Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 20 (1) (2021)
Paul J. Pritz, Liang Ma, Kin K. Leung
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning. CIKM (2021)
Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin Chan
Robust Solutions to Constrained Optimization Problems by LSTM Networks. MILCOM (2021)
Yueyue Dai, Yong Liang Guan, Kin K. Leung, Yan Zhang
Reconfigurable Intelligent Surface for Low-Latency Edge Computing in 6G. IEEE Wirel. Commun. 28 (6) (2021)
Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kin K. Leung
On the Analysis of Spatially Constrained Power of Two Choice Policies. SIGMETRICS Perform. Evaluation Rev. 48 (3) (2020)
Faheem Zafari, Prithwish Basu, Kin K. Leung, Jian Li, Ananthram Swami, Don Towsley
Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach. CoRR (2020)
Pengchao Han, Shiqiang Wang, Kin K. Leung
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. ICDCS (2020)
Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, Don Towsley
Identification of Additive Link Metrics: Proof of Selected Theorems. CoRR (2020)
Pengchao Han, Shiqiang Wang, Kin K. Leung
Capacity Analysis of Distributed Computing Systems with Multiple Resource Types. WCNC (2020)
Liang Ma, Ting He, Ananthram Swami, Don Towsley, Kin K. Leung
Failure Localization Capability: Theorem Proof and Evaluation. CoRR (2020)
Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, Don Towsley
Link Identifiability with Two Monitors: Proof of Selected Theorems. CoRR (2020)
Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung
Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients. CoRR (2020)
Ziyao Zhang, Liang Ma, Kin K. Leung, Konstantinos Poularakis, Mudhakar Srivatsa
State Action Separable Reinforcement Learning. IEEE BigData (2020)
Paul J. Pritz, Daniel Perez, Kin K. Leung
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems. ICCCN (2020)
Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung
Resource Allocation in One-dimensional Distributed Service Networks with Applications. Perform. Evaluation 142 (2020)
Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung
Resource Allocation in One-dimensional Distributed Service Networks with Applications. CoRR (2020)
Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kin K. Leung
On the Analysis of Spatially Constrained Power of Two Choice Policies. CoRR (2020)
Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung
Energy-Efficient Radio Resource Allocation for Federated Edge Learning. ICC Workshops (2020)
Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung
Overcoming Noisy and Irrelevant Data in Federated Learning. ICPR (2020)
Faheem Zafari, Jian Li, Kin K. Leung, Don Towsley, Ananthram Swami
Optimal Energy Consumption for Communication, Computation, Caching, and Quality Guarantee. IEEE Trans. Control. Netw. Syst. 7 (1) (2020)
Faheem Zafari, Kin K. Leung, Don Towsley, Prithwish Basu, Ananthram Swami, Jian Li
Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds. CoRR (2020)
Chi Harold Liu, Yinuo Zhao, Zipeng Dai, Ye Yuan, Guoren Wang, Dapeng Wu, Kin K. Leung
Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach. ICDE (2020)
Ziyao Zhang, Liang Ma, Kin K. Leung, Konstantinos Poularakis, Mudhakar Srivatsa
State Action Separable Reinforcement Learning. CoRR (2020)
Pengchao Han, Shiqiang Wang, Kin K. Leung
Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. CoRR (2020)
Liang Ma, Ting He, Ananthram Swami, Don Towsley, Kin K. Leung, Jessica Lowe
Fundamental Theories in Node Failure Localization. CoRR (2020)
Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, Don Towsley
Partial Network Identifiability: Theorem Proof and Evaluation. CoRR (2020)
Liang Ma, Ting He, Ananthram Swami, Don Towsley, Kin K. Leung
Node Failure Localization: Theorem Proof. CoRR (2020)
Paul J. Pritz, Liang Ma, Kin K. Leung
Joint State-Action Embedding for Efficient Reinforcement Learning. CoRR (2020)
Qiaofeng Qin, Konstantinos Poularakis, Kin K. Leung, Leandros Tassiulas
Line-Speed and Scalable Intrusion Detection at the Network Edge via Federated Learning. Networking (2020)
Paul J. Pritz, Daniel Perez, Kin K. Leung
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems. CoRR (2020)
Liang Ma, Ting He, Kin K. Leung, Don Towsley, Ananthram Swami
Efficient Identification of Additive Link Metrics: Theorem Proof and Evaluations. CoRR (2020)
Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung
Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing. CoRR (2020)
Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems. ICDCS (2019)
Nitish K. Panigrahy, Prithwish Basu, Philippe Nain, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung
Resource Allocation in One-Dimensional Distributed Service Networks. MASCOTS (2019)
Ziyao Zhang, Liang Ma, Konstantinos Poularakis, Kin K. Leung, Jeremy Tucker, Ananthram Swami
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design. CoRR (2019)
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan
Adaptive Federated Learning in Resource Constrained Edge Computing Systems. IEEE J. Sel. Areas Commun. 37 (6) (2019)
Ziyao Zhang, Liang Ma, Konstantinos Poularakis, Kin K. Leung, Lingfei Wu
DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN. ICC (2019)
Konstantinos Poularakis, Qiaofeng Qin, Liang Ma, Sastry Kompella, Kin K. Leung, Leandros Tassiulas
Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures. INFOCOM (2019)
Ziyao Zhang, Liang Ma, Kin K. Leung, Franck Le, Sastry Kompella, Leandros Tassiulas
How Advantageous Is It? An Analytical Study of Controller-Assisted Path Construction in Distributed SDN. IEEE/ACM Trans. Netw. 27 (4) (2019)
Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems. CoRR (2019)
Konstantinos Poularakis, Qiaofeng Qin, Liang Ma, Sastry Kompella, Kin K. Leung, Leandros Tassiulas
Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures. CoRR (2019)
Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin Chan, Kin K. Leung
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process. IEEE/ACM Trans. Netw. 27 (3) (2019)
Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung
A queueing-theoretic model for resource allocation in one-dimensional distributed service network. CoRR (2019)
Faheem Zafari, Athanasios Gkelias, Kin K. Leung
A Survey of Indoor Localization Systems and Technologies. IEEE Commun. Surv. Tutorials 21 (3) (2019)
Faheem Zafari, Kin K. Leung, Don Towsley, Prithwish Basu, Ananthram Swami
A Game-Theoretic Framework for Resource Sharing in Clouds. WMNC (2019)
Konstantinos Poularakis, Qiaofeng Qin, Kelvin M. Marcus, Kevin S. Chan, Kin K. Leung, Leandros Tassiulas
Hybrid SDN Control in Mobile Ad Hoc Networks. SMARTCOMP (2019)
Dave Conway-Jones, Tiffany Tuor, Shiqiang Wang, Kin K. Leung
Demonstration of Federated Learning in a Resource-Constrained Networked Environment. SMARTCOMP (2019)
Sepideh Nazemi, Kin K. Leung, Ananthram Swami
Distributed Optimization Framework for In-Network Data Processing. IEEE/ACM Trans. Netw. 27 (6) (2019)
Ziyao Zhang, Liang Ma, Konstantinos Poularakis, Kin K. Leung, Jeremy Tucker, Ananthram Swami
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design. ICNP (2019)
Faheem Zafari, Kin K. Leung, Don Towsley, Prithwish Basu, Ananthram Swami
A Game-Theoretic Framework for Resource Sharing in Clouds. CoRR (2019)
Qunsong Zeng, Yuqing Du, Kin K. Leung, Kaibin Huang
Energy-Efficient Radio Resource Allocation for Federated Edge Learning. CoRR (2019)
Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung
Exact Incremental and Decremental Learning for LS-SVM. ICIP (2019)
Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Kevin Chan
Distributed Machine Learning in Coalition Environments: Overview of Techniques. FUSION (2018)
Faheem Zafari, Jian Li, Kin K. Leung, Don Towsley, Ananthram Swami
A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds. CoRR (2018)
Tiffany Tuor, Shiqiang Wang, Theodoros Salonidis, Bong Jun Ko, Kin K. Leung
Demo abstract: Distributed machine learning at resource-limited edge nodes. INFOCOM Workshops (2018)
Faheem Zafari, Jian Li, Kin K. Leung, Don Towsley, Ananthram Swami
A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge. EdgeTech@MobiCom (2018)
Nitish K. Panigrahy, Prithwish Basu, Don Towsley, Ananthram Swami, Kevin S. Chan, Kin K. Leung
A queueing-theoretic model for resource allocation in one-dimensional distributed analytics network? SIGMETRICS Perform. Evaluation Rev. 46 (2) (2018)
Andrew Machen, Shiqiang Wang, Kin K. Leung, Bong Jun Ko, Theodoros Salonidis
Live Service Migration in Mobile Edge Clouds. IEEE Wirel. Commun. 25 (1) (2018)
Faheem Zafari, Jian Li, Kin K. Leung, Don Towsley, Ananthram Swami
Optimal Energy Tradeoff Among Communication, Computation and Caching with QoI-Guarantee. GLOBECOM (2018)
Jian Li, Faheem Zafari, Don Towsley, Kin K. Leung, Ananthram Swami
Joint Data Compression and Caching: Approaching Optimality with Guarantees. CoRR (2018)
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan
When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning. CoRR (2018)
Ziyao Zhang, Liang Ma, Kin K. Leung, Leandros Tassiulas, Jeremy Tucker
Q-Placement: Reinforcement-Learning-Based Service Placement in Software-Defined Networks. ICDCS (2018)
Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan
When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning. INFOCOM (2018)
Jian Li, Faheem Zafari, Don Towsley, Kin K. Leung, Ananthram Swami
Joint Data Compression and Caching: Approaching Optimality with Guarantees. ICPE (2018)
Ziyao Zhang, Liang Ma, Konstantinos Poularakis, Kin K. Leung, Lingfei Wu
DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN. CoRR (2018)
Giorgia V. Rossi, Kin K. Leung
Optimised CSMA/CA protocol for safety messages in vehicular ad-hoc networks. ISCC (2017)
Shiqiang Wang, Rahul Urgaonkar, Ting He, Kevin Chan, Murtaza Zafer, Kin K. Leung
Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs. IEEE Trans. Parallel Distributed Syst. 28 (4) (2017)
Shiqiang Wang, Murtaza Zafer, Kin K. Leung
Online Placement of Multi-Component Applications in Edge Computing Environments. IEEE Access 5 (2017)
Ziyao Zhang, Liang Ma, Kin K. Leung, Franck Le, Sastry Kompella, Leandros Tassiulas
How Better is Distributed SDN? An Analytical Approach. CoRR (2017)
Ting He, Athanasios Gkelias, Liang Ma, Kin K. Leung, Ananthram Swami, Don Towsley
Robust and Efficient Monitor Placement for Network Tomography in Dynamic Networks. IEEE/ACM Trans. Netw. 25 (3) (2017)
Faheem Zafari, Jian Li, Kin K. Leung, Don Towsley, Ananthram Swami
Optimal Energy Tradeoff among Communication, Computation and Caching with QoI-Guarantee. CoRR (2017)
Faheem Zafari, Athanasios Gkelias, Kin K. Leung
A Survey of Indoor Localization Systems and Technologies. CoRR (2017)
Chi Harold Liu, Bo Zhang, Xin Su, Jian Ma, Wendong Wang, Kin K. Leung
Energy-Aware Participant Selection for Smartphone-Enabled Mobile Crowd Sensing. IEEE Syst. J. 11 (3) (2017)
Liang Ma, Ting He, Ananthram Swami, Don Towsley, Kin K. Leung
Network Capability in Localizing Node Failures via End-to-End Path Measurements. IEEE/ACM Trans. Netw. 25 (1) (2017)
Giorgia V. Rossi, Zhong Fan, Woon Hau Chin, Kin K. Leung
Stable Clustering for Ad-Hoc Vehicle Networking. WCNC (2017)
Andrew Machen, Shiqiang Wang, Kin K. Leung, Bong Jun Ko, Theodoros Salonidis
Live Service Migration in Mobile Edge Clouds. CoRR (2017)
Chi Harold Liu, Jianxin R. Zhao, Honggang Zhang, Song Guo, Kin K. Leung, Jon Crowcroft
Energy-Efficient Event Detection by Participatory Sensing Under Budget Constraints. IEEE Syst. J. 11 (4) (2017)
Ting He, Liang Ma, Athanasios Gkelias, Kin K. Leung, Ananthram Swami, Don Towsley
Robust monitor placement for network tomography in dynamic networks. INFOCOM (2016)
Guangyu Gao, Chi Harold Liu, Min Chen, Song Guo, Kin K. Leung
Cloud-Based Actor Identification With Batch-Orthogonal Local-Sensitive Hashing and Sparse Representation. IEEE Trans. Multim. 18 (9) (2016)
Wendong Wang, Hui Gao, Chi Harold Liu, Kin K. Leung
Credible and energy-aware participant selection with limited task budget for mobile crowd sensing. Ad Hoc Networks 43 (2016)
Sepideh Nazemi, Kin K. Leung, Ananthram Swami
QoI-aware tradeoff between communication and computation in wireless ad-hoc networks. PIMRC (2016)
Sepideh Nazemi, Kin K. Leung, Ananthram Swami
Optimization framework with reduced complexity for sensor networks with in-network processing. WCNC (2016)
Ozgur Yurur, Chi Harold Liu, Zhengguo Sheng, Victor C. M. Leung, Wilfrido Alejandro Moreno, Kin K. Leung
Context-Awareness for Mobile Sensing: A Survey and Future Directions. IEEE Commun. Surv. Tutorials 18 (1) (2016)
Andrew Machen, Shiqiang Wang, Kin K. Leung, Bong Jun Ko, Theodoros Salonidis
Migrating running applications across mobile edge clouds: poster. MobiCom (2016)

Kin K. Leung.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kin K. Leung