Sitan Li

Orcid: 0009-0001-0739-7181

According to our database1, Sitan Li authored at least 14 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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Links

On csauthors.net:

Bibliography

2024
Social media users' affective, attitudinal, and behavioral responses to virtual human emotions.
Telematics Informatics, 2024

How peer feedback affects knowledge contribution in online innovation communities: a social identity perspective.
Kybernetes, 2024

Virtual humans as social actors: Investigating user perceptions of virtual humans' emotional expression on social media.
Comput. Hum. Behav., 2024

Coupling Congestion Control and Flow Pausing in Data Center Network.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Achieving Efficient Scheduling based on Accurate Measurement of Small Flows in Data Center.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

Achieving High Efficiency for Datacenter Multicast using Skewed Bloom Filter.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

D2T: Dynamic Dual Threshold Policy of Shared-Memory in Data Center Switches.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

2023
An Analytic End-to-End Collaborative Deep Learning Algorithm.
IEEE Control. Syst. Lett., 2023

An Analytic End-to-End Deep Learning Algorithm based on Collaborative Learning.
CoRR, 2023

A Theoretical Framework for End-to-End Learning of Deep Neural Networks With Applications to Robotics.
IEEE Access, 2023

Transfer Learning Algorithm for Image Classification Task and its Convergence Analysis.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

PA-Sketch: A Fast and Accurate Sketch for Differentiated Flow Estimation.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Achieving High Accuracy and Fast Speed for Sketch Compression.
Proceedings of the IEEE International Conference on Communications, 2023

2022
A Layer-Wise Theoretical Framework for Deep Learning of Convolutional Neural Networks.
IEEE Access, 2022


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