Sahan Liyanaarachchi

Orcid: 0009-0005-8824-6535

According to our database1, Sahan Liyanaarachchi authored at least 18 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Scheduling Policies in a Multisource Status Update System With Dedicated and Shared Servers.
IEEE Internet Things J., July, 2025

Age of Estimates: When to Submit Jobs to a Markov Machine to Maximize Revenue.
CoRR, July, 2025

Structured Estimators: A New Perspective on Information Freshness.
CoRR, May, 2025

Timely Tracking of a Wiener Process With Single Bit Quantization.
CoRR, May, 2025

Optimum Monitoring and Job Assignment with Multiple Markov Machines.
CoRR, January, 2025

Source Coding for a Wiener Process.
Proceedings of the 23rd International Symposium on Modeling and Optimization in Mobile, 2025

2024
The Role of Early Sampling in Age of Information Minimization in the Presence of ACK Delays.
IEEE Trans. Inf. Theory, September, 2024

Scheduling Policies in a Multi-Source Status Update System with Dedicated and Shared Servers.
CoRR, 2024

6G at 1/6g: The Future of Cislunar Communications.
CoRR, 2024

Cyclic Scheduler Design for Minimizing Age of Information in Massive Scale Networks Susceptible to Packet Errors.
CoRR, 2024

Hybrid Status Update Systems with Dedicated and Shared Servers.
Proceedings of the 22nd International Symposium on Modeling and Optimization in Mobile, 2024

CAFe: Cost and Age aware Federated Learning.
Proceedings of the Twenty-fifth International Symposium on Theory, 2024

Scalable Cyclic Schedulers for Age of Information Optimization in Large-Scale Status Update Systems.
Proceedings of the IEEE INFOCOM 2024, 2024

Early Sampling: Sampling with Incomplete Queue State Information to Minimize the Age.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

Minimizing the Age of Two Heterogeneous Sources With Packet Drops Via Cyclic Schedulers.
Proceedings of the 58th Asilomar Conference on Signals, 2024

2020
Bipartite Conditional Random Fields for Panoptic Segmentation.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Extending Multi-Object Tracking systems to better exploit appearance and 3D information.
CoRR, 2019

Bipartite Conditional Random Fields for Panoptic Segmentation.
CoRR, 2019


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